[go: up one dir, main page]

WO2020066277A1 - Information processing device, information processing method, and program for information processing - Google Patents

Information processing device, information processing method, and program for information processing Download PDF

Info

Publication number
WO2020066277A1
WO2020066277A1 PCT/JP2019/029857 JP2019029857W WO2020066277A1 WO 2020066277 A1 WO2020066277 A1 WO 2020066277A1 JP 2019029857 W JP2019029857 W JP 2019029857W WO 2020066277 A1 WO2020066277 A1 WO 2020066277A1
Authority
WO
WIPO (PCT)
Prior art keywords
patient
medical treatment
data
time
medical
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2019/029857
Other languages
French (fr)
Japanese (ja)
Inventor
知宏 茎田
絵里子 閑
民生 上田
山内 隆伸
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Omron Healthcare Co Ltd
Original Assignee
Omron Healthcare Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Omron Healthcare Co Ltd filed Critical Omron Healthcare Co Ltd
Publication of WO2020066277A1 publication Critical patent/WO2020066277A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/02Reservations, e.g. for tickets, services or events
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Definitions

  • the present invention relates to, for example, an information processing apparatus, an information processing method, and a program for information processing for processing information related to medical treatment of a patient by a doctor.
  • Patent Literature 1 discloses a technique in which a terminal of a medical institution estimates a waiting time from the reservation status and the number of non-reserved visiting patients.
  • the object of the present invention is to pay attention to the above circumstances, and to provide a technique for improving the convenience of a patient scheduled to receive a medical treatment of a desired doctor.
  • an acquisition unit configured to acquire data on a symptom of a first patient, and a first time period for medical treatment of the first patient by a doctor based on the data on the symptom.
  • the information processing apparatus includes a second estimating unit that estimates a medical treatment start time.
  • the second time period or medical treatment start time of the second patient is the first time period for medical treatment of the first patient who is currently undergoing medical treatment by the target physician or scheduled to perform medical treatment in the future.
  • the accuracy of the information processing apparatus for estimating the second time zone or the medical treatment start time of the second patient is improved. If the second patient goes to the medical institution during the second time period or the medical treatment start time, the desired doctor can be treated without waiting time, so that the convenience of the patient who will receive the medical treatment of the desired doctor is improved.
  • the data relating to the condition includes data relating to an infectious disease of the first patient, and the first estimating unit performs processing based on the data relating to the infectious disease. And estimating the first time zone, and the second estimating unit estimates the second time zone or the medical treatment start time based on the data on the first time zone and the infectious disease. It is like that.
  • the information processing apparatus can appropriately estimate the first time zone.
  • medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. In this case, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed.
  • the information processing apparatus can appropriately estimate the second time zone or the medical treatment start time in consideration of the operation time of the first patient after the medical treatment such as disinfection. Accordingly, the second patient can receive medical treatment without waiting even if medical treatment of an infectious disease patient is performed before the medical treatment of the second patient.
  • the data on the symptom is data on a type of an infectious disease of the first patient, and a data indicating a degree of infection of the first patient with the infectious disease. And at least one of data relating to a first degree of infection and data relating to a second degree of infection indicating the ease of transmission of the infectious disease from the first patient to another patient,
  • the estimating unit estimates the first time period based on at least one of the data on the type of infectious disease, the data on the first degree of infection, and the data on the second degree of infection,
  • the second estimating unit is configured to store at least one of the first time period and the data related to the type of infectious disease, the data related to the first degree of infection, and the data related to the second degree of infection.
  • the first time period includes the type of infectious disease, the first degree of infection indicating the degree of infection, and the second degree of infection indicating the ease of transmission of the infection to another patient.
  • the time required for medical treatment varies depending on at least one of them, but the information processing apparatus can appropriately estimate the first time zone.
  • medical institutions often perform operations such as disinfection after medical treatment of a first patient with an infectious disease. The working time varies depending on the type of infection that the first patient has, the first degree of infection, and the second degree of infection. For this reason, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed.
  • the information processing apparatus considers the work time such as disinfection after the medical treatment of the first patient based on the type of infectious disease, the first degree of infection, and the second degree of infection, and The time period or the medical treatment start time can be appropriately estimated.
  • the second patient when the second patient is treated for an infectious disease patient before his / her own medical treatment, the second patient can come to the hospital after the work without receiving a medical treatment during the disinfection work and receive medical treatment. .
  • the first patient is a patient without a reservation for medical treatment by the doctor
  • a first estimating unit is a patient without the reservation by the doctor.
  • the first time zone for the medical treatment is estimated.
  • the information processing apparatus appropriately estimates the first time slot for medical treatment by a doctor even if the first patient is, for example, a patient without emergency medical care reservation. be able to.
  • the information processing apparatus can appropriately estimate the second time slot or the medical treatment start time based on the first time slot of the first patient.
  • an output unit that outputs information for presenting the second time zone or the medical treatment start time to the second patient is further provided.
  • the second patient can recognize the second time slot or the medical treatment start time in which medical treatment by a desired doctor is permitted. Thereby, the second patient can act so as to shorten the waiting time until the start of the examination at the medical institution. If the appointment date and time of the second patient is included in the second time zone, the second patient can go to a medical institution at the appointment date and time and receive a medical treatment of a desired doctor without waiting at the medical institution. Can be. If the appointment date and time of the patient is not included in the second time slot, the second patient can go to the medical institution in the second time slot and shorten the waiting time before starting the consultation at the medical institution. it can.
  • an output unit that outputs information that supports the change of the reservation date and time of the second patient is further provided.
  • the second patient wants to change the reservation date and time if his / her reservation date and time are included in the first time zone, for example. Can be.
  • an output unit that outputs information for giving attention to a visit to the second patient based on data on the symptom is further provided. It is.
  • the second patient can recognize, for example, that the medical treatment of the first patient suffering from the infectious disease has been performed at the medical institution making the reservation.
  • the second patient can take preventive measures against infectious diseases, such as canceling the reservation.
  • An eighth aspect of the present disclosure is an information processing method executed by an information processing apparatus, wherein an acquisition step of acquiring data relating to a symptom of a first patient, and a first step performed by a doctor based on the data relating to the symptom.
  • the information processing method can obtain the same effect as the above-described first aspect.
  • a ninth aspect of the present disclosure is a program for information processing for causing a computer to execute a process of each unit included in an information processing device according to any one of the first to seventh aspects.
  • the program for information processing can achieve the same effects as those of the first aspect.
  • FIG. 1 is a diagram schematically illustrating an application example of the EHR server according to the present embodiment.
  • FIG. 2 is a diagram illustrating a medical care management system according to the embodiment.
  • FIG. 3 is a block diagram illustrating a hardware configuration of the EHR server according to the embodiment.
  • FIG. 4 is a diagram exemplifying a medical care database stored in the EHR server according to the present embodiment.
  • FIG. 5 is a block diagram illustrating a software configuration of the EHR server according to the present embodiment.
  • FIG. 6 is a flowchart illustrating an operation of estimating a medical treatment allowable time zone in the EHR server according to the present embodiment.
  • FIG. 7 is a diagram illustrating an example of estimating a medical treatment allowable time zone by the EHR server according to the present embodiment.
  • the present embodiment will be described with reference to the drawings.
  • the present embodiment described below is merely an example in every respect.
  • the same or similar elements as those already described are denoted by the same or similar reference numerals, and redundant description is basically omitted.
  • FIG. 1 is a diagram schematically showing an application example of an EHR (Electronic Health Records) server A1.
  • the EHR server A1 is a server that manages data on medical care of each patient in a medical institution.
  • the operation of the EHR server A1 will be described.
  • the patient XXX is a patient who has been transported by emergency and has not been reserved for medical treatment by the target doctor.
  • the medical treatment start date and time of patient XXX is 10:00 on June 11, 2018.
  • the patient YYY is a patient for whom medical treatment is scheduled by a doctor who is treating the patient XXX.
  • the reservation date and time of patient YYY is 12:00 on June 11, 2018.
  • the EHR server 1 executes an operation at 11:00 on June 11, 2018.
  • the EHR server 1 acquires medical data including data on the symptoms of the patient XXX.
  • the EHR server 1 estimates 10:00 to 13:00 on June 11, 2018 as a scheduled treatment time zone of the patient XXX based on the data on the symptom of the patient XXX.
  • the scheduled medical treatment time period is a time period for medical treatment of the patient XXX by the target doctor.
  • the EHR server 1 estimates 13:00 to 15:00 on June 11, 2018 as a medical treatment allowable time zone based on the scheduled medical treatment time zone of the patient XXX.
  • the medical treatment allowable time period is a time period after the scheduled medical treatment time period of the patient XXX in which the medical treatment of the patient YYY by the target doctor is permitted.
  • the EHR server 1 may estimate the medical care start time of the patient YYY based on the scheduled medical care time zone of the patient XXX.
  • the medical treatment start time is a time after the scheduled medical treatment time zone of the patient XXX that allows the medical treatment of the patient YYY by the target doctor.
  • the EHR server 1 outputs to the mobile terminal A2 of the patient YYY information indicating the medical treatment allowable time zone or the medical treatment start time. Instead or together with this, the EHR server 1 outputs information supporting the change of the reservation date and time to the mobile terminal A2 of the patient YYY.
  • the EHR server 1 can improve the accuracy of estimating the medical treatment allowable time zone or the medical treatment start time. If a patient with a medical appointment goes to a medical institution during the medical treatment allowable time zone, the desired doctor can be treated without waiting time, so that the convenience of the patient scheduled to receive the medical treatment of the desired doctor is improved.
  • FIG. 2 is a diagram illustrating an overall configuration of the medical care management system 100.
  • the medical care management system 100 includes an EHR server 1 and a mobile terminal 2.
  • the EHR server 1 and the mobile terminal 2 can communicate with each other via a network.
  • the network is the Internet.
  • the EHR server 1 is a server that manages data on medical care of each patient in a medical institution.
  • the medical institution is a hospital or a dental clinic, but is not limited thereto.
  • the data on medical treatment is also referred to as medical treatment data.
  • the EHR server 1 collects medical data of each patient based on data of an electronic medical record created by a medical person at a medical institution using a PC (Personal Computer).
  • medical personnel include, but are not limited to, a physician, dentist, or nurse.
  • the EHR server 1 is an example of an information processing device.
  • the mobile terminal 2 is a terminal owned by the patient.
  • the mobile terminal 2 displays information from the EHR server 1.
  • the mobile terminal 2 is a smartphone or a tablet, but is not limited thereto.
  • FIG. 2 shows one mobile terminal 2, the mobile terminal 2 is owned by each patient.
  • FIG. 3 is a block diagram illustrating a hardware configuration of the EHR server 1.
  • the EHR server 1 includes a processor 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage device 14, and a communication interface 15. Each element is electrically connected to each other.
  • the communication interface is described as “communication I / F”.
  • the processor 11 controls each element of the EHR server 1.
  • the processor 11 is a CPU (Central Processing Unit), but is not limited thereto.
  • the processor 11 develops a program for executing the EHR server 1 stored in the storage device 14 on the RAM 13.
  • the processor 11 can execute various operations by interpreting and executing the program expanded on the RAM 13.
  • the storage device 14 is a so-called auxiliary storage device.
  • the storage device 14 is an HDD (Hard ⁇ Disk ⁇ Drive), but is not limited to this.
  • the storage device 14 stores a program executed by the processor 11. Note that the program may be stored in the storage device 14 in advance.
  • the program may be downloaded to the EHR server 1 via a network.
  • the program may be stored on a non-transitory computer-readable medium and distributed.
  • the storage device 14 stores a medical care database.
  • the medical care database is a database for managing medical care data of each patient. A configuration example of the medical care database will be described later.
  • the storage device 14 stores a medical hours database.
  • the medical treatment time database is a database that manages each of a plurality of symptoms in association with the medical treatment time.
  • the medical treatment time is the time required for medical treatment by a doctor.
  • the medical hours database may be associated with medical hours for each type of infectious disease.
  • the medical hours database may be associated with medical hours for each first infection degree.
  • the first degree of infection indicates the degree of infection of the patient with the infection.
  • the first degree of infection is, but not limited to, one infection level selected from a plurality of infection levels.
  • the first degree of infection may be determined by a doctor's diagnosis.
  • the medical hours database may associate the medical hours for each second degree of infection.
  • the second degree of infection indicates the ease of transmission of the infection from one patient having the infection to another.
  • the second degree of infection is one level selected from a plurality of levels according to the ease of infection, but is not limited to this.
  • the second degree of infection may be determined by a doctor's diagnosis.
  • the medical hours database may be associated with the medical hours for each attribute of the patient, even if the symptoms are the same.
  • the medical hours managed by the medical hours database may be different for each doctor.
  • the medical hours managed by the medical hours database may be derived by the processor 11 based on past actual medical hours.
  • the medical treatment time managed in the medical treatment time database may be appropriately modified by the processor 11 according to the accumulation of the medical treatment time.
  • the storage device 14 stores a non-medical time database.
  • the non-medical time database is a database that manages each infectious disease of a plurality of infectious diseases and non-medical time in association with each other.
  • the non-treatment time is a time during which a patient suffering from an infectious disease cannot be treated after the treatment of another patient.
  • the non-medical time is the time required for operations such as disinfection.
  • the reason why the medical institution sets the non-treatment time is that the medical institution requires an operation such as disinfection after medical treatment of a patient suffering from an infectious disease.
  • the non-treatment time database may associate non-treatment time with each type of infectious disease.
  • the medical treatment time database may associate a non-medical treatment time for each first infection degree.
  • the medical treatment time database may associate a non-medical treatment time for each second degree of infection.
  • the medical hours managed in the medical hours database may be modified as appropriate.
  • the communication interface 15 is an interface for communicatively connecting the EHR server 1 to another device.
  • the communication interface 15 may include an interface for wired communication or may include an interface for wireless communication.
  • the EHR server 1 may include a plurality of processors.
  • FIG. 4 is a diagram illustrating a medical care database stored in the storage device 14 of the EHR server 1.
  • the medical care database manages medical care data of each patient.
  • the medical treatment data includes data relating to patient names, data relating to patient IDs, data relating to attributes, data relating to medical records, and data relating to medical appointments.
  • Data on patient name is data on the name of each patient.
  • the data relating to the patient ID is data relating to identification information uniquely assigned to each patient.
  • the data on attributes is data on characteristics of each patient.
  • the data related to attributes includes data related to gender and data related to age.
  • the data relating to the medical record is data relating to the past medical record of each patient or the current medical record.
  • the data on the medical record includes data on the medical treatment start date and time and data on the symptoms.
  • the data on the medical treatment start date and time is data on the date and time when the medical treatment of the patient was started by the medical institution.
  • the data on symptoms is data on symptoms of a patient diagnosed by a medical institution.
  • the data on symptoms includes data on specific symptom names.
  • the data on symptoms may include at least one of data on types of symptoms and data on degrees of symptoms.
  • data on symptoms may include data on infectious diseases (specific infectious disease names).
  • the data relating to the symptoms may include at least one of data relating to the type of infectious disease, data relating to the first degree of infection, and data relating to the second degree of infection.
  • Data on medical appointment is data on an appointment for a patient to receive medical treatment at a medical institution next time.
  • the data on medical appointment includes data on the presence or absence of an appointment and data on the appointment date and time.
  • the data on the presence / absence of the reservation is data on the presence / absence of a reservation for the patient to receive medical treatment at the next medical institution.
  • the data on the appointment date and time is data on the appointment date and time for the patient to receive medical treatment at a medical institution next time.
  • the medical treatment data may include data other than data relating to patient names, data relating to patient IDs, data relating to attributes, data relating to medical records, and data relating to medical appointments.
  • the data on the attribute may include other data in addition to the data on gender and the data on age.
  • the processor 11 manages medical data as exemplified below.
  • the processor 11 receives, via the communication interface 15, an electronic medical chart created by a medical professional using a PC.
  • the processor 11 acquires data corresponding to each item of the medical care data from the electronic medical record.
  • the processor 11 creates the medical care data of the patient and manages the medical care data in the medical care database. If the patient of the electronic medical record is already managed in the medical care database, the processor 11 updates the medical care data of the patient.
  • the electronic medical record is created not only when the medical staff finishes the medical treatment, but also during the medical staff's medical treatment. Therefore, the processor 11 creates or updates not only the medical data of the patient whose medical staff has completed the medical treatment, but also the medical data of the patient whose medical staff is currently undergoing medical care.
  • Electronic medical records are created not only for patients with medical treatment reservations at medical institutions, but also for patients without medical treatment reservations at medical institutions. Therefore, the processor 11 creates or updates not only the medical treatment data of the patient with the reservation of the medical treatment at the medical institution but also the treatment data of the patient without the reservation of the medical treatment at the medical institution.
  • FIG. 4 is a block diagram illustrating a software configuration of the EHR server 1.
  • the processor 11 implements an acquisition unit 111, a first estimation unit 112, a second estimation unit 113, and an output unit 114.
  • the acquisition unit 111 will be described.
  • the acquisition unit 111 acquires medical data including data relating to symptoms of the first patient, as exemplified below.
  • the acquisition unit 111 acquires medical data of the first patient from the storage device 14 at an arbitrary timing.
  • the acquiring unit 111 sends the medical care data of the first patient to the first estimating unit 112.
  • the medical data of the first patient includes data relating to the patient name, data relating to the patient ID, data relating to the attribute, data relating to the medical record, and data relating to the medical appointment.
  • the data relating to the medical record of the first patient includes data relating to the medical treatment start date and time of the first patient and data relating to the symptoms of the first patient. If the first patient has been diagnosed with an infection, the data regarding the symptoms of the first patient include data regarding the infection of the first patient. Further, the data on the symptoms of the first patient includes the data on the type of infection of the first patient, the data on the first degree of infection indicating the degree of infection of the first patient, and the data from the first patient to another patient. At least one of data on the second degree of infection, which indicates the likelihood of infection of the infectious disease.
  • the data on the medical appointment of the first patient includes data on the presence or absence of the appointment of the first patient and data on the date and time of the appointment of the first patient.
  • the first patient is a patient who is currently undergoing medical treatment by the subject physician or is scheduled to be treated in the future. If the first patient is a patient currently under medical care by the subject physician, the first patient may be a patient without a reservation for medical care by the subject physician. Alternatively, when the first patient is a patient currently undergoing medical treatment by the target doctor, the first patient may be a patient with a reservation for medical treatment by the target doctor. If the first patient is a patient currently undergoing medical treatment by the target physician, the data relating to the medical record of the first patient is data relating to the current medical treatment.
  • the first patient is a patient scheduled to be treated in the future by the target doctor
  • the first patient is a patient who has a reservation for medical treatment by the target doctor.
  • the data on the medical record of the first patient is data related to past medical treatment.
  • the first estimating unit 112 estimates the scheduled medical treatment time zone based on data on the symptoms of the first patient, as exemplified below.
  • the scheduled medical treatment time period is a time period for medical treatment of the first patient by the target doctor.
  • the scheduled medical treatment time zone is also referred to as a first time zone.
  • the first estimating unit 112 receives medical data of the first patient from the acquiring unit 111. Next, the first estimating unit 112 acquires data on the symptoms of the first patient from the medical care data of the first patient. Next, the first estimating unit 112 estimates the medical treatment time required for medical treatment of the first patient by the target doctor based on the data on the symptoms of the first patient. For example, the first estimating unit 112 estimates the medical treatment time of the first patient with reference to the medical treatment time database stored in the storage device 14. The first estimating unit 112 may use data relating to the attribute of the first patient included in the medical data of the first patient for estimating the medical treatment time for the first patient.
  • the first estimating unit 112 estimates the scheduled medical treatment time zone based on the medical treatment time of the first patient. For example, the first estimating unit 112 estimates a time period from the medical treatment start date or time to the time after the medical treatment time has elapsed as the medical treatment scheduled time period. When the first patient is a patient who is currently undergoing medical treatment by the target doctor, the first estimating unit 112 estimates the time period from the medical treatment start date to the time after the lapse of the medical treatment time as the scheduled medical treatment time period. . When the first patient is a patient scheduled to be treated in the future by the target doctor, the first estimating unit 112 estimates the time period from the reservation date and time to the time after the lapse of the medical treatment time as the scheduled treatment time period.
  • the first estimating unit 112 estimates the scheduled medical treatment time zone based on the data on infectious diseases. It is assumed that the data on the symptoms of the first patient includes at least one of data on the type of infectious disease, data on the first degree of infection, and data on the second degree of infection. In this case, the first estimating unit 112 estimates the scheduled medical treatment time zone based on at least one of data on the type of infectious disease, data on the first degree of infection, and data on the second degree of infection. I do.
  • the first estimating unit 112 estimates a scheduled medical treatment time slot for medical treatment of the first patient without a reservation by the target doctor. .
  • the first estimating unit 112 estimates the time zone from the medical treatment start date and time to the time after the elapse of the medical care time as the scheduled medical care time zone.
  • the first estimating unit 112 estimates a scheduled medical treatment time slot for medical treatment of the first patient with a reservation by the target doctor. .
  • the first estimating unit 112 sets the time period from the medical treatment start date and time to the time after the medical treatment time has elapsed, as the scheduled treatment time. Estimate as a band.
  • the first estimating unit 112 estimates the time period from the reservation date and time to the time after the lapse of the medical treatment time as the scheduled treatment time period.
  • the first estimating unit 112 sends the first estimation result to the second estimating unit 113.
  • the first estimation result includes the medical treatment data of the first patient and the scheduled medical treatment time zone of the first patient.
  • the second estimating unit 113 estimates a medical treatment allowable time zone based on the scheduled medical care time zone of the first patient, as exemplified below.
  • the medical treatment allowable time period is a time period after the scheduled medical treatment time period of the first patient in which the target physician allows the medical treatment of the second patient.
  • the medical treatment allowable time zone may be a time zone that is continuous with the first patient's scheduled medical treatment time zone or a time zone that is separated from the first patient's scheduled medical treatment time zone.
  • the medical treatment allowable time zone is also referred to as a second time zone.
  • the second estimating unit 113 may estimate the medical care start time of the second patient based on the scheduled medical care time of the first patient.
  • the medical treatment start time is a time after the scheduled medical treatment time slot of the first patient that permits the medical treatment of the second patient by the target doctor.
  • the second patient is a patient who has reserved medical treatment by the target doctor. If the first patient is currently undergoing medical treatment, the second patient makes a medical appointment at the same day as the medical treatment start date and time of the first patient and later than the medical treatment start date and time of the first patient. Patient. If the first patient is a patient scheduled to undergo medical treatment in the future, the second patient makes a medical treatment appointment at the same date as the appointment date and time of the first patient and later than the appointment date and time of the first patient. Patient.
  • the second estimating unit 113 receives the first estimation result from the first estimating unit 112. Next, the second estimating unit 113 acquires the scheduled medical treatment time slot of the first patient from the first estimation result. Next, the second estimation unit 113 estimates a medical treatment allowable time zone or a medical treatment start time based on the scheduled medical treatment time zone of the first patient. In one example, the second estimating unit 113 estimates an arbitrary time period after the scheduled medical treatment time period of the first patient as the medical treatment allowable time period. Similarly, the second estimating unit 113 estimates any time after the scheduled treatment time of the first patient as the medical treatment start time.
  • the second estimating unit 113 refers to the schedule of the target doctor and sets the time during which the target doctor can treat the second patient in the time period after the scheduled treatment time of the first patient.
  • the obi is estimated as the medical treatment allowable time zone.
  • the second estimation unit 113 estimates a time at which the target doctor can treat the second patient among the times after the scheduled treatment time of the first patient as the treatment start time.
  • the second estimating unit 113 may estimate the medical treatment allowable time zone or the medical treatment start time based on the scheduled treatment time zone of the first patient and data on the infectious disease.
  • the second estimating unit 113 acquires data on the infectious disease of the first patient from the medical treatment data of the first patient.
  • the first estimating unit 112 refers to a non-medical time database stored in the storage device 14.
  • the second estimating unit 113 estimates, based on the data on the infectious disease of the first patient, the non-medical hours by the target doctor after the scheduled time of examination of the first patient.
  • the second estimating unit 113 estimates an arbitrary time zone after the time after the lapse of the non-treatment time from the scheduled examination time zone of the first patient as the medical treatment allowable time zone.
  • the second estimating unit 113 estimates an arbitrary time after the time after the lapse of the non-medical treatment time from the scheduled examination time slot of the first patient as the medical treatment start time.
  • the second estimating unit 113 stores at least one of the data on the scheduled treatment time of the first patient and the type of infectious disease, the data on the first degree of infection, and the data on the second degree of infection. Based on this, the medical treatment allowable time zone or the medical treatment start time may be estimated. In this example, the second estimating unit 113 selects, from the medical data of the first patient, data on the type of infectious disease of the first patient, data on the first degree of infection, and data on the second degree of infection. Acquire at least one of them. The second estimating unit 113 refers to the medical treatment unavailable time database stored in the storage device 14.
  • the second estimating unit 113 is configured to determine whether the first patient is a first patient based on at least one of data on the type of infectious disease of the first patient, data on the first degree of infection, and data on the second degree of infection. Of medical treatment unavailable by the target doctor after the scheduled medical examination time zone is estimated.
  • the second estimating unit 113 estimates an arbitrary time zone after the time after the lapse of the non-treatment time from the scheduled examination time zone of the first patient as the medical treatment allowable time zone.
  • the second estimating unit 113 estimates an arbitrary time after the time after the lapse of the non-medical treatment time from the scheduled examination time slot of the first patient as the medical treatment start time.
  • the second estimation unit 113 sends the second estimation result to the output unit 114.
  • the second estimation result includes the medical treatment data of the first patient and the medical treatment allowable time zone or the medical treatment start time.
  • the output unit 114 will be described.
  • the output unit 114 outputs various information to the portable terminal 2 of the second patient via the communication interface 15.
  • the output unit 114 outputs information for presenting the medical treatment allowable time zone or the medical treatment start time to the second patient as exemplified below.
  • the output unit 114 receives the second estimation result from the second estimation unit 113.
  • the output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result.
  • the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition. Note that the reservation date and time of the second patient may or may not be included in the allowable medical treatment time zone.
  • the output unit 114 outputs, to the portable terminal 2 of the second patient, information indicating the medical treatment allowable time zone or the medical treatment start time via the communication interface 15.
  • the mobile terminal 2 displays a medical treatment allowable time zone or a medical treatment start time based on information from the EHR server 1.
  • the output unit 114 outputs information that assists the second patient in changing the appointment date and time as exemplified below.
  • the output unit 114 receives the second estimation result from the second estimation unit 113.
  • the output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result.
  • the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition.
  • the output unit 114 acquires the medical care data of the second patient from the medical care database stored in the storage device 14.
  • the output unit 114 acquires data on the reservation date and time of the second patient from the medical treatment data of the second patient.
  • the output unit 114 determines whether or not the appointment date and time of the second patient is included in the medical treatment allowable time zone. For example, when the scheduled medical treatment time slot of the first patient estimated by the first estimating unit 112 includes the reservation date and time of the second patient, the reservation date and time of the second patient is not included in the medical treatment allowable time slot.
  • the output unit 114 transmits, via the communication interface 15, information supporting the change of the scheduled date and time of the second patient to the second patient. Output to terminal 2.
  • the mobile terminal 2 displays a screen for changing the reservation date and time based on the information from the EHR server 1. Thereby, the second patient can change the reservation to a date and time included in the medical treatment allowable time zone.
  • the information supporting the change of the reservation date and time may include information regarding the infectious disease of the first patient.
  • the information on the infection of the first patient may include information indicating that the first patient with the infection is being treated at a medical institution.
  • the information on the infection of the first patient may include information on a specific infection name.
  • the information on the infection of the first patient may include information on the first degree of infection indicating the degree of infection of the first patient.
  • the information regarding the infection of the first patient may include information regarding the second degree of infection indicating the ease of transmission of the infection from the first patient to another patient. Displays information on the infectious disease of the first patient based on the information from the EHR server 1. Accordingly, the second patient can cope with not having the infectious disease by obtaining information on the infectious disease of the first patient who is receiving medical treatment before the second patient. For example, the second patient can change the appointment on another day, or change the appointment at a later date and time in the medical treatment allowable time zone.
  • the output unit 114 does not output information for supporting the change of the appointment date and time of the second patient to the portable terminal 2 of the second patient. You may. The reason is that the second patient does not need to change the reservation date and time.
  • the output unit 114 outputs information that gives attention to a second patient to visit based on data related to an infection of the first patient.
  • the output unit 114 receives the second estimation result from the second estimation unit 113.
  • the output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result.
  • the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition. Note that the reservation date and time of the second patient may or may not be included in the allowable medical treatment time zone.
  • the output unit 114 acquires medical care data of the first patient from the second estimation result.
  • the output unit 114 determines whether or not the medical data of the first patient includes data on an infectious disease.
  • the output unit 114 outputs, via the communication interface 15, information that gives attention to a visit to the portable terminal 2 of the second patient.
  • the mobile terminal 2 displays information for giving attention to a hospital visit based on information from the EHR server 1.
  • the information giving a visit notice includes information indicating that a patient suffering from an infectious disease is being treated at a medical institution.
  • the output unit 114 omits the output of the information for giving the second patient the attention of the visit.
  • FIG. 6 is a flowchart illustrating an operation of estimating a medical treatment allowable time zone in the EHR server 1. Note that the processing procedure described below is merely an example, and each processing may be changed as much as possible. In the processing procedure described below, steps can be omitted, replaced, and added as appropriate.
  • the acquisition unit 111 acquires medical data including data relating to the symptoms of the first patient (Step S101).
  • the acquisition unit 111 sends the medical data of the first patient to the first estimation unit 112.
  • the first estimating unit 112 estimates the scheduled treatment time of the first patient based on the data on the symptoms of the first patient (step S102).
  • First estimating section 112 sends the first estimation result to second estimating section 113.
  • the second estimating unit 113 estimates the medical treatment allowable time zone or the medical treatment start time based on the scheduled medical treatment time zone of the first patient (Step S103). Second estimating section 113 sends the second estimation result to output section 114.
  • the output unit 114 outputs various information to the portable terminal 2 of the second patient based on the second estimation result, as illustrated (step S104).
  • FIG. 7 is a diagram illustrating an example of estimating a medical treatment allowable time zone by the EHR server 1.
  • the first patient is the patient XXX shown in FIG.
  • the patient XXX is a patient who has been transported by emergency and has no reservation.
  • the medical treatment start date and time of patient XXX is 10:00 on June 11, 2018.
  • the second patient is a patient YYY shown in FIG.
  • the patient YYY is a patient who has a medical appointment by a doctor who is treating the patient XXX.
  • the reservation date and time of patient YYY is 12:00 on June 11, 2018.
  • the EHR server 1 executes a medical treatment allowable time zone estimation operation at 11:00 on June 11, 2018.
  • the obtaining unit 111 obtains medical data including data on symptoms of the patient XXX.
  • the acquisition unit 111 sends the medical care data of the patient XXX to the first estimation unit 112.
  • the first estimating unit 112 estimates 10:00 to 13:00 on June 11, 2018 as a scheduled treatment time zone of the patient XXX based on data on the symptoms of the patient XXX.
  • First estimating section 112 sends the first estimation result to second estimating section 113.
  • the second estimating unit 113 estimates 13:00 to 15:00 on June 11, 2018 after the scheduled medical treatment time of the patient XXX as the allowable medical treatment time based on the scheduled medical treatment time of the patient XXX.
  • the second estimating unit 113 may estimate the medical care start time of the patient YYY based on the scheduled medical care time of the patient XXX.
  • Second estimating section 113 sends the second estimation result to output section 114.
  • the output unit 114 outputs, to the mobile terminal 2 of the patient YYY, information indicating the medical treatment allowable time zone or the medical treatment start time based on the second estimation result. Instead or together with this, the output unit 114 outputs information for supporting the change of the reservation date and time to the mobile terminal 2 of the patient YYY.
  • the EHR server 1 estimates the scheduled treatment time of the first patient based on the data on the symptoms of the first patient, and The medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on the scheduled medical treatment time zone. Since the medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on the medical treatment scheduled time period of the first patient currently undergoing medical treatment by the target doctor or scheduled to be treated in the future, the medical allowance by the EHR server 1 is permitted. The accuracy of time zone estimation is improved. If the second patient goes to the medical institution during the medical treatment allowable time zone or the medical treatment start time, the desired doctor can be treated without waiting time, so that the convenience of the patient scheduled to receive the medical treatment of the desired doctor is improved.
  • the EHR server 1 estimates the scheduled treatment time of the first patient based on the data on the infectious disease, and based on the scheduled treatment time and the data on the infectious disease, based on the data on the infectious disease. Estimate the medical treatment allowable time zone or the medical treatment start time. Even if the first patient is infected, the EHR server 1 can appropriately estimate the scheduled medical treatment time zone. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. In this case, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed.
  • the EHR server 1 can appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the second patient in consideration of the working time such as disinfection after the medical treatment of the first patient. Accordingly, the second patient can receive medical treatment without waiting even if medical treatment of an infectious disease patient is performed before the medical treatment of the second patient.
  • the EHR server 1 stores the data on the type of infectious disease, the first degree of infection indicating the degree of infection of the first patient with respect to the infectious disease, and the number of infectious diseases from the first patient to another patient.
  • the estimated medical treatment time zone is estimated based on at least one of the data on the second degree of infection indicating the ease of infection, and the data on the expected medical treatment time zone and the type of infectious disease and the first degree of infection are obtained.
  • the medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on at least one of the data and the data on the second infection degree.
  • the scheduled time for medical treatment varies depending on at least one of the type of infectious disease, the first degree of infection, and the second degree of infection, but the EHR server 1 appropriately sets the scheduled time for medical treatment. Can be estimated. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. The working time varies depending on the type of infection that the first patient has, the first degree of infection, and the second degree of infection. For this reason, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed.
  • the EHR server 1 considers the work time such as disinfection after the medical treatment of the first patient based on the type of infectious disease, the first degree of infection, and the second degree of infection, and It is possible to appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the patient. Thereby, when the second patient is treated for an infectious disease patient before his / her own medical treatment, the second patient can come to the hospital after the work without receiving a medical treatment during the disinfection work and receive medical treatment. .
  • the EHR server 1 estimates a scheduled medical treatment time zone of the first patient without a reservation by a doctor.
  • the EHR server 1 can appropriately estimate the scheduled medical treatment time slot for medical treatment by a doctor even if the first patient is, for example, a patient who has not been reserved for medical treatment and has been transported by emergency.
  • the EHR server 1 can appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the second patient based on the scheduled medical treatment time zone of the first patient.
  • the EHR server 1 outputs information for presenting the medical treatment allowable time zone or the medical treatment start time to the second patient.
  • the second patient can recognize the medical treatment allowable time period or medical treatment start time in which medical treatment by a desired doctor is permitted. Thereby, the second patient can act so as to shorten the waiting time until the start of the examination at the medical institution. If the appointment date and time of the second patient is included in the medical treatment allowable time zone, the second patient can go to a medical institution at the appointment date and time and receive a medical treatment of a desired doctor without waiting at the medical institution. it can. If the appointment date and time of the second patient are not included in the medical treatment allowable time zone, the second patient can shorten the waiting time until the start of medical examination at the medical institution by going to the medical institution during the medical allowable time zone.
  • the EHR server 1 outputs information that assists the second patient in changing the reservation date and time.
  • the second patient wants to change the appointment date and time if his / her appointment date and time are included in the scheduled medical treatment time slot of the first patient, but can easily change the appointment date and time with support.
  • the EHR server 1 outputs information for giving attention to the second patient to visit.
  • the second patient can recognize that the medical treatment of the first patient suffering from the infectious disease has been performed, for example, at the medical institution making the reservation.
  • the second patient can take preventive measures against infectious diseases, such as canceling the reservation.
  • the present invention is not limited to the present embodiment as it is, and can be embodied by modifying its components in an implementation stage without departing from the scope of the invention.
  • Various inventions can be formed by appropriately combining a plurality of components disclosed in the present embodiment. For example, some components may be deleted from all the components shown in the present embodiment. Further, components of different embodiments may be appropriately combined.
  • Estimating unit (113) An information processing device (1) including:
  • EHR server 2.
  • Mobile terminal 11 Processor 12: ROM 13 ... RAM DESCRIPTION OF SYMBOLS 14 ... Storage device 15 ... Communication interface 100 ... Medical treatment management system 111 ... Acquisition part 112 ; First estimation part 113 ... Second estimation part 114 ... Output part

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • General Business, Economics & Management (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • Biomedical Technology (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

The present invention improves convenience for patients that are scheduled to receive treatment from a desired doctor. An information processing device that comprises: an acquisition part that acquires data about the symptoms of a first patient; a first estimation part that, on the basis of the data about the symptoms, estimates a first time slot for treatment of the first patient by a doctor; and a second estimation part that, on the basis of the first time slot, estimates a second time slot or a treatment start time that is after the first time slot and allows for treatment of a second patient that has an appointment for treatment by the doctor.

Description

情報処理装置、情報処理方法及び情報処理のためのプログラムInformation processing apparatus, information processing method, and program for information processing

 この発明は、例えば、医師による患者の診療に関連する情報を処理する情報処理装置、情報処理方法及び情報処理のためのプログラムに関する。 The present invention relates to, for example, an information processing apparatus, an information processing method, and a program for information processing for processing information related to medical treatment of a patient by a doctor.

 近年、健康意識の高まりにより、医療機関へ行く患者の利便性を向上させる技術の開発が進められている。 In recent years, with the increase in health consciousness, the development of technologies to improve the convenience of patients going to medical institutions has been promoted.

 例えば、特許文献1は、医療機関の端末が予約状況と予約外の来院患者数から待ち時間を推測する技術を開示している。 For example, Patent Literature 1 discloses a technique in which a terminal of a medical institution estimates a waiting time from the reservation status and the number of non-reserved visiting patients.

日本国特開2009-277050号公報Japanese Patent Application Publication No. 2009-277050

 しかしながら、予約外の来院患者の診療時間は、患者の症状に応じて異なる。そのため、特許文献1の技術では、待ち時間の推定精度を向上させることは難しい。 診 However, consultation hours for out-of-reservation visits vary according to the patient's symptoms. For this reason, it is difficult to improve the accuracy of estimating the waiting time with the technique of Patent Document 1.

 本発明の目的は、上記事情に着目してなされたもので、所望の医師の診療を受ける予定の患者の利便性を向上させる技術を提供することである。 The object of the present invention is to pay attention to the above circumstances, and to provide a technique for improving the convenience of a patient scheduled to receive a medical treatment of a desired doctor.

 本開示の第1の態様は、第1の患者の症状に関するデータを取得する取得部と、前記症状に関するデータに基づいて、医師による前記第1の患者の診療のための第1の時間帯を推定する第1の推定部と、前記第1の時間帯に基づいて、前記医師による診療を予約している第2の患者の診療を許容する前記第1の時間帯以後の第2の時間帯または診療開始時刻を推定する第2の推定部とを備える情報処理装置である。 
 第1の態様によれば、第2の患者の第2の時間帯または診療開始時刻は、対象の医師による現在診療中または将来診療予定の第1の患者の診療のための第1の時間帯に基づいて推定されるので、情報処理装置による第2の患者の第2の時間帯または診療開始時刻の推定精度は向上する。第2の患者は第2の時間帯または診療開始時刻に医療機関へ行けば所望の医師に待ち時間無く診療してもらえるので、所望の医師の診療を受ける予定の患者の利便性は向上する。
According to a first aspect of the present disclosure, an acquisition unit configured to acquire data on a symptom of a first patient, and a first time period for medical treatment of the first patient by a doctor based on the data on the symptom. A first estimating unit for estimating, and a second time period after the first time period that allows medical treatment of a second patient who has reserved medical treatment by the doctor based on the first time period. Alternatively, the information processing apparatus includes a second estimating unit that estimates a medical treatment start time.
According to the first aspect, the second time period or medical treatment start time of the second patient is the first time period for medical treatment of the first patient who is currently undergoing medical treatment by the target physician or scheduled to perform medical treatment in the future. Therefore, the accuracy of the information processing apparatus for estimating the second time zone or the medical treatment start time of the second patient is improved. If the second patient goes to the medical institution during the second time period or the medical treatment start time, the desired doctor can be treated without waiting time, so that the convenience of the patient who will receive the medical treatment of the desired doctor is improved.

 本開示の第2の態様は、上記第1の態様において、前記症状に関するデータが、前記第1の患者の感染症に関するデータを含み、前記第1の推定部が、前記感染症に関するデータに基づいて、前記第1の時間帯を推定し、前記第2の推定部が、前記第1の時間帯及び前記感染症に関するデータに基づいて、前記第2の時間帯または前記診療開始時刻を推定するようにしたものである。
 第2の態様によれば、第1の患者が感染症に罹っていたとしても、情報処理装置は第1の時間帯を適切に推定することができる。さらに、医療機関は、感染症に罹った第1の患者の診療後に消毒などの作業を行うことが多い。この場合、医療機関は、感染症に罹った第1の患者の診療終了後であってもすぐに他の患者の診療を開始することができないことがある。これに対して、情報処理装置は、第1の患者の診療終了後の消毒などの作業時間を考慮し、第2の時間帯または診療開始時刻を適切に推定することができる。これにより、第2の患者は、自身の診療前に感染症患者の診療が行われた場合であっても、待ち時間無く診療を受けることが可能となる。
According to a second aspect of the present disclosure, in the first aspect, the data relating to the condition includes data relating to an infectious disease of the first patient, and the first estimating unit performs processing based on the data relating to the infectious disease. And estimating the first time zone, and the second estimating unit estimates the second time zone or the medical treatment start time based on the data on the first time zone and the infectious disease. It is like that.
According to the second aspect, even when the first patient has an infection, the information processing apparatus can appropriately estimate the first time zone. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. In this case, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed. On the other hand, the information processing apparatus can appropriately estimate the second time zone or the medical treatment start time in consideration of the operation time of the first patient after the medical treatment such as disinfection. Accordingly, the second patient can receive medical treatment without waiting even if medical treatment of an infectious disease patient is performed before the medical treatment of the second patient.

 本開示の第3の態様は、上記第1の態様において、前記症状に関するデータは、前記第1の患者の感染症の種類に関するデータ、前記感染症に対する前記第1の患者の感染具合を示す第1の感染度に関するデータ及び前記第1の患者から別の患者への前記感染症の感染のし易さを示す第2の感染度に関するデータのうちの少なくとも何れか一方を含み、前記第1の推定部は、前記感染症の種類に関するデータ、前記第1の感染度に関するデータ及び前記第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、前記第1の時間帯を推定し、前記第2の推定部は、前記第1の時間帯並びに前記感染症の種類に関するデータ、前記第1の感染度に関するデータ及び前記第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、前記第2の時間帯または前記診療開始時刻を推定するようにしたものである。
 第3の態様によれば、第1の時間帯は感染症の種類、感染具合を示す第1の感染度及び別の患者への感染症の感染のし易さを示す第2の感染度のうちの少なくとも何れか一方に応じて診療に要する時間は変わるが、情報処理装置は第1の時間帯を適切に推定することができる。さらに、医療機関は、感染症に罹った第1の患者の診療後に、消毒などの作業を行うことが多い。その作業時間は、第1の患者が罹った感染症の種類、第1の感染度及び第2の感染度に応じて異なる。このため、医療機関は、感染症に罹った第1の患者の診療終了後であってもすぐに他の患者の診療を開始することができないことがある。これに対して、情報処理装置は、感染症の種類、第1の感染度及び第2の感染度に基づいて第1の患者の診療終了後の消毒などの作業時間を考慮し、第2の時間帯または診療開始時刻を適切に推定することができる。これにより、第2の患者は、自身の診療前に感染症患者の診療が行われた場合に、その消毒作業中に来院してしまうことなく作業終了後に来院し診療を受けることが可能となる。
According to a third aspect of the present disclosure, in the first aspect, the data on the symptom is data on a type of an infectious disease of the first patient, and a data indicating a degree of infection of the first patient with the infectious disease. And at least one of data relating to a first degree of infection and data relating to a second degree of infection indicating the ease of transmission of the infectious disease from the first patient to another patient, The estimating unit estimates the first time period based on at least one of the data on the type of infectious disease, the data on the first degree of infection, and the data on the second degree of infection, The second estimating unit is configured to store at least one of the first time period and the data related to the type of infectious disease, the data related to the first degree of infection, and the data related to the second degree of infection. Zui it, in which so as to estimate the second time zone or the medical start time.
According to the third aspect, the first time period includes the type of infectious disease, the first degree of infection indicating the degree of infection, and the second degree of infection indicating the ease of transmission of the infection to another patient. The time required for medical treatment varies depending on at least one of them, but the information processing apparatus can appropriately estimate the first time zone. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of a first patient with an infectious disease. The working time varies depending on the type of infection that the first patient has, the first degree of infection, and the second degree of infection. For this reason, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed. On the other hand, the information processing apparatus considers the work time such as disinfection after the medical treatment of the first patient based on the type of infectious disease, the first degree of infection, and the second degree of infection, and The time period or the medical treatment start time can be appropriately estimated. Thereby, when the second patient is treated for an infectious disease patient before his / her own medical treatment, the second patient can come to the hospital after the work without receiving a medical treatment during the disinfection work and receive medical treatment. .

 本開示の第4の態様は、上記第1の態様において、前記第1の患者が、前記医師による診療の予約なしの患者であり、第1の推定部が、前記医師による前記予約なしの患者の診療のための前記第1の時間帯を推定するようにしたものである。 
 第4の態様によれば、情報処理装置は、第1の患者が例えば救急搬送された診療の予約なしの患者であっても、医師による診療のための第1の時間帯を適切に推定することができる。その結果、情報処理装置は、第2の時間帯または診療開始時刻も第1の患者の第1の時間帯に基づいて適切に推定することができる。
According to a fourth aspect of the present disclosure, in the first aspect, the first patient is a patient without a reservation for medical treatment by the doctor, and a first estimating unit is a patient without the reservation by the doctor. The first time zone for the medical treatment is estimated.
According to the fourth aspect, the information processing apparatus appropriately estimates the first time slot for medical treatment by a doctor even if the first patient is, for example, a patient without emergency medical care reservation. be able to. As a result, the information processing apparatus can appropriately estimate the second time slot or the medical treatment start time based on the first time slot of the first patient.

 本開示の第5の態様は、上記第1の態様において、前記第2の患者へ前記第2の時間帯または前記診療開始時刻を提示する情報を出力する出力部をさらに備えるようにしたものである。 
 第5の態様によれば、第2の患者は、所望の医師による診療を許容する第2の時間帯または診療開始時刻を認識することができる。これにより、第2の患者は、医療機関での診察開始までの待ち時間を短くするように行動することができる。第2の患者の予約日時が第2の時間帯に含まれていれば、第2の患者は、予約日時に医療機関へ行くことで医療機関での待ち時間なく所望の医師の診療を受けることができる。自身の予約日時が第2の時間帯に含まれていなければ、第2の患者は、第2の時間帯に医療機関へ行くことで医療機関での診察開始までの待ち時間を短くすることができる。
According to a fifth aspect of the present disclosure, in the first aspect, an output unit that outputs information for presenting the second time zone or the medical treatment start time to the second patient is further provided. is there.
According to the fifth aspect, the second patient can recognize the second time slot or the medical treatment start time in which medical treatment by a desired doctor is permitted. Thereby, the second patient can act so as to shorten the waiting time until the start of the examination at the medical institution. If the appointment date and time of the second patient is included in the second time zone, the second patient can go to a medical institution at the appointment date and time and receive a medical treatment of a desired doctor without waiting at the medical institution. Can be. If the appointment date and time of the patient is not included in the second time slot, the second patient can go to the medical institution in the second time slot and shorten the waiting time before starting the consultation at the medical institution. it can.

 本開示の第6の態様は、上記第1の態様において、前記第2の患者の予約日時の変更を支援する情報を出力する出力部をさらに備えるようにしたものである。 
 第6の態様によれば、第2の患者は、例えば自身の予約日時が第1の時間帯に含まれていれば予約日時を変更したいと考えるが、支援により容易に予約日時を変更することができる。
According to a sixth aspect of the present disclosure, in the first aspect, an output unit that outputs information that supports the change of the reservation date and time of the second patient is further provided.
According to the sixth aspect, the second patient wants to change the reservation date and time if his / her reservation date and time are included in the first time zone, for example. Can be.

 本開示の第7の態様は、上記第2または3の態様において、前記症状に関するデータに基づいて、前記第2の患者へ来院の注意を与える情報を出力する出力部をさらに備えるようにしたものである。 
 第7の態様によれば、第2の患者は、例えば予約をしている医療機関で感染症に罹った第1の患者の診療が行われたことを認識することができる。第2の患者は、予約をキャンセルするなどして感染症の予防を講じることができる。
According to a seventh aspect of the present disclosure, in the second or third aspect, an output unit that outputs information for giving attention to a visit to the second patient based on data on the symptom is further provided. It is.
According to the seventh aspect, the second patient can recognize, for example, that the medical treatment of the first patient suffering from the infectious disease has been performed at the medical institution making the reservation. The second patient can take preventive measures against infectious diseases, such as canceling the reservation.

 本開示の第8の態様は、情報処理装置が実行する情報処理方法であって、第1の患者の症状に関するデータを取得する取得過程と、前記症状に関するデータに基づいて、医師による前記第1の患者の診療のための第1の時間帯を推定する第1の推定過程と、前記第1の時間帯に基づいて、前記医師による診療を予約している第2の患者の診療を許容する前記第1の時間帯以後の第2の時間帯または診療開始時刻を推定する第2の推定過程とを備える情報処理方法である。 
 第8の態様によれば、情報処理方法は、上述の第1の態様と同様の効果を得ることができる。
An eighth aspect of the present disclosure is an information processing method executed by an information processing apparatus, wherein an acquisition step of acquiring data relating to a symptom of a first patient, and a first step performed by a doctor based on the data relating to the symptom. A first estimating step of estimating a first time zone for medical care of a patient, and allowing medical care of a second patient who has reserved medical care by the doctor based on the first time zone. A second estimating step of estimating a second time zone after the first time zone or a medical treatment start time.
According to the eighth aspect, the information processing method can obtain the same effect as the above-described first aspect.

 本開示の第9の態様は、第1の態様から第7の態様のうちの何れかの情報処理装置が備える各部の処理をコンピュータに実行させる情報処理のためのプログラムである。 A ninth aspect of the present disclosure is a program for information processing for causing a computer to execute a process of each unit included in an information processing device according to any one of the first to seventh aspects.

 第9の態様によれば、情報処理のためのプログラムは、上述の第1の態様と同様の効果を得ることができる。 According to the ninth aspect, the program for information processing can achieve the same effects as those of the first aspect.

 本発明によれば、所望の医師の診療を受ける予定の患者の利便性を向上させる技術を提供することができる。 According to the present invention, it is possible to provide a technique for improving the convenience of a patient scheduled to receive a medical treatment of a desired doctor.

図1は、本実施形態に係るEHRサーバの適用例を模式的に示す図である。FIG. 1 is a diagram schematically illustrating an application example of the EHR server according to the present embodiment. 図2は、本実施形態に係る診療管理システムを例示する図である。FIG. 2 is a diagram illustrating a medical care management system according to the embodiment. 図3は、本実施形態に係るEHRサーバのハードウェア構成を例示するブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration of the EHR server according to the embodiment. 図4は、本実施形態に係るEHRサーバに格納されている診療データベースを例示する図である。FIG. 4 is a diagram exemplifying a medical care database stored in the EHR server according to the present embodiment. 図5は、本実施形態に係るEHRサーバのソフトウェア構成を例示するブロック図である。FIG. 5 is a block diagram illustrating a software configuration of the EHR server according to the present embodiment. 図6は、本実施形態に係るEHRサーバにおける診療許容時間帯推定動作を例示するフローチャートである。FIG. 6 is a flowchart illustrating an operation of estimating a medical treatment allowable time zone in the EHR server according to the present embodiment. 図7は、本実施形態に係るEHRサーバによる診療許容時間帯の推定例を示す図である。FIG. 7 is a diagram illustrating an example of estimating a medical treatment allowable time zone by the EHR server according to the present embodiment.

 以下、本開示に係る実施の形態(以下、「本実施形態」とも表記する)を、図面に基づいて説明する。ただし、以下で説明する本実施形態は、あらゆる点において例示に過ぎない。なお、以降、説明済みの要素と同一または類似の要素には同一または類似の符号を付し、重複する説明については基本的に省略する。 Hereinafter, an embodiment according to the present disclosure (hereinafter, also referred to as “the present embodiment”) will be described with reference to the drawings. However, the present embodiment described below is merely an example in every respect. In the following, the same or similar elements as those already described are denoted by the same or similar reference numerals, and redundant description is basically omitted.

 §1 適用例 
 本実施形態は、所望の医師が診療可能な時間帯を推定する技術である。 
 図1は、EHR(Electronic Health Records)サーバA1の適用例を模式的に示す図である。 
 EHRサーバA1は、医療機関における各患者の診療に関するデータを管理するサーバである。EHRサーバA1による動作について説明する。ここでは、患者XXXは、救急搬送された患者であって、対象の医師による診療の予約なしの患者であるものとする。患者XXXの診療開始日時は、2018年6月11日10時である。患者YYYは、患者XXXを診療している対象の医師による診療の予約ありの患者であるものとする。患者YYYの予約日時は、2018年6月11日12時である。EHRサーバ1は、2018年6月11日11時に動作を実行するものとする。
§1 Application example
The present embodiment is a technique for estimating a time zone in which a desired doctor can perform medical treatment.
FIG. 1 is a diagram schematically showing an application example of an EHR (Electronic Health Records) server A1.
The EHR server A1 is a server that manages data on medical care of each patient in a medical institution. The operation of the EHR server A1 will be described. Here, it is assumed that the patient XXX is a patient who has been transported by emergency and has not been reserved for medical treatment by the target doctor. The medical treatment start date and time of patient XXX is 10:00 on June 11, 2018. It is assumed that the patient YYY is a patient for whom medical treatment is scheduled by a doctor who is treating the patient XXX. The reservation date and time of patient YYY is 12:00 on June 11, 2018. The EHR server 1 executes an operation at 11:00 on June 11, 2018.

 EHRサーバ1は、患者XXXの症状に関するデータを含む診療データを取得する。EHRサーバ1は、患者XXXの症状に関するデータに基づいて、2018年6月11日10時~13時を患者XXXの診療予定時間帯として推定する。診療予定時間帯は、対象の医師による患者XXXの診療のための時間帯である。EHRサーバ1は、患者XXXの診療予定時間帯に基づいて、2018年6月11日13時~15時を診療許容時間帯として推定する。診療許容時間帯は、対象の医師による患者YYYの診療を許容する患者XXXの診療予定時間帯以後の時間帯である。EHRサーバ1は、患者XXXの診療予定時間帯に基づいて、患者YYYの診療開始時刻を推定してもよい。診療開始時刻は、対象の医師による患者YYYの診療を許容する患者XXXの診療予定時間帯以後の時刻である。EHRサーバ1は、診療許容時間帯または診療開始時刻を提示する情報を患者YYYの携帯端末A2へ出力する。これに代えてまたはこれとともに、EHRサーバ1は、予約日時の変更を支援する情報を患者YYYの携帯端末A2へ出力する。 The EHR server 1 acquires medical data including data on the symptoms of the patient XXX. The EHR server 1 estimates 10:00 to 13:00 on June 11, 2018 as a scheduled treatment time zone of the patient XXX based on the data on the symptom of the patient XXX. The scheduled medical treatment time period is a time period for medical treatment of the patient XXX by the target doctor. The EHR server 1 estimates 13:00 to 15:00 on June 11, 2018 as a medical treatment allowable time zone based on the scheduled medical treatment time zone of the patient XXX. The medical treatment allowable time period is a time period after the scheduled medical treatment time period of the patient XXX in which the medical treatment of the patient YYY by the target doctor is permitted. The EHR server 1 may estimate the medical care start time of the patient YYY based on the scheduled medical care time zone of the patient XXX. The medical treatment start time is a time after the scheduled medical treatment time zone of the patient XXX that allows the medical treatment of the patient YYY by the target doctor. The EHR server 1 outputs to the mobile terminal A2 of the patient YYY information indicating the medical treatment allowable time zone or the medical treatment start time. Instead or together with this, the EHR server 1 outputs information supporting the change of the reservation date and time to the mobile terminal A2 of the patient YYY.

 このように、EHRサーバ1は、診療許容時間帯または診療開始時刻の推定精度を向上させることができる。診療の予約ありの患者は、診療許容時間帯に医療機関へ行けば所望の医師に待ち時間無く診療してもらえるので、所望の医師の診療を受ける予定の患者の利便性は向上する。 As described above, the EHR server 1 can improve the accuracy of estimating the medical treatment allowable time zone or the medical treatment start time. If a patient with a medical appointment goes to a medical institution during the medical treatment allowable time zone, the desired doctor can be treated without waiting time, so that the convenience of the patient scheduled to receive the medical treatment of the desired doctor is improved.

 §2 構成例 
 <診療管理システム> 
 図2は、診療管理システム100の全体構成を例示する図である。 
 診療管理システム100は、EHRサーバ1及び携帯端末2を備える。EHRサーバ1及び携帯端末2は、互いにネットワークを介して通信可能である。例えば、ネットワークは、インターネットである。
§2 Configuration example
<Medical care management system>
FIG. 2 is a diagram illustrating an overall configuration of the medical care management system 100.
The medical care management system 100 includes an EHR server 1 and a mobile terminal 2. The EHR server 1 and the mobile terminal 2 can communicate with each other via a network. For example, the network is the Internet.

 EHRサーバ1は、医療機関における各患者の診療に関するデータを管理するサーバである。例えば、医療機関は、病院または歯科医院などであるが、これらに限定されない。診療に関するデータは、診療データともいう。例えば、EHRサーバ1は、医療機関における医療関係者がPC(Personal Computer)を用いて作成した電子カルテのデータに基づいて各患者の診療データを収集する。例えば、医療関係者は、医師、歯医者または看護師などであるが、これらに限定されない。EHRサーバ1は、情報処理装置の一例である。 The EHR server 1 is a server that manages data on medical care of each patient in a medical institution. For example, the medical institution is a hospital or a dental clinic, but is not limited thereto. The data on medical treatment is also referred to as medical treatment data. For example, the EHR server 1 collects medical data of each patient based on data of an electronic medical record created by a medical person at a medical institution using a PC (Personal Computer). For example, medical personnel include, but are not limited to, a physician, dentist, or nurse. The EHR server 1 is an example of an information processing device.

 携帯端末2は、患者の所有する端末である。携帯端末2は、EHRサーバ1からの情報を表示する。例えば、携帯端末2は、スマートフォンまたはタブレットなどであるが、これらに限定されない。なお、図2は1つの携帯端末2を示しているが、携帯端末2は、患者毎に所有されている。 The mobile terminal 2 is a terminal owned by the patient. The mobile terminal 2 displays information from the EHR server 1. For example, the mobile terminal 2 is a smartphone or a tablet, but is not limited thereto. Although FIG. 2 shows one mobile terminal 2, the mobile terminal 2 is owned by each patient.

 <EHRサーバ> 
 [ハードウェア構成] 
 図3は、EHRサーバ1のハードウェア構成を例示するブロック図である。
 EHRサーバ1は、プロセッサ11、ROM(Read Only Memory)12、RAM(Random Access Memory)13、記憶装置14及び通信インタフェース15を備える。各要素は、互いに電気的に接続されている。なお、図3では、通信インタフェースを、「通信I/F」と記載している。
<EHR server>
[Hardware configuration]
FIG. 3 is a block diagram illustrating a hardware configuration of the EHR server 1.
The EHR server 1 includes a processor 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a storage device 14, and a communication interface 15. Each element is electrically connected to each other. In FIG. 3, the communication interface is described as “communication I / F”.

 プロセッサ11は、EHRサーバ1の各要素を制御する。例えば、プロセッサ11は、CPU(Central Processing Unit)であるが、これに限定されない。プロセッサ11は、記憶装置14に格納されたEHRサーバ1を実行させるためのプログラムをRAM13に展開する。そして、プロセッサ11がRAM13に展開されたプログラムを解釈及び実行することで、プロセッサ11は、各種動作を実行可能である。 The processor 11 controls each element of the EHR server 1. For example, the processor 11 is a CPU (Central Processing Unit), but is not limited thereto. The processor 11 develops a program for executing the EHR server 1 stored in the storage device 14 on the RAM 13. The processor 11 can execute various operations by interpreting and executing the program expanded on the RAM 13.

 記憶装置14は、いわゆる補助記憶装置である。例えば、記憶装置14は、HDD(Hard Disk Drive)であるが、これに限定されない。記憶装置14は、プロセッサ11で実行されるプログラムを記憶する。なお、プログラムは、予め記憶装置14に記憶されていてもよい。プログラムは、ネットワークを介してEHRサーバ1にダウンロードされてもよい。プログラムは、非一時的なコンピュータ可読媒体に記憶され、流通していてもよい。 The storage device 14 is a so-called auxiliary storage device. For example, the storage device 14 is an HDD (Hard \ Disk \ Drive), but is not limited to this. The storage device 14 stores a program executed by the processor 11. Note that the program may be stored in the storage device 14 in advance. The program may be downloaded to the EHR server 1 via a network. The program may be stored on a non-transitory computer-readable medium and distributed.

 記憶装置14は、診療データベースを格納する。診療データベースは、各患者の診療データを管理するデータベースである。診療データベースの構成例については後述する。 (4) The storage device 14 stores a medical care database. The medical care database is a database for managing medical care data of each patient. A configuration example of the medical care database will be described later.

 記憶装置14は、診療時間データベースを格納する。診療時間データベースは、複数の症状の各症状と診療時間とを対応付けて管理するデータベースである。診療時間は、医師による診療に要する時間である。診療時間データベースは、感染症の種類毎に診療時間を対応付けていてもよい。診療時間データベースは、第1の感染度毎に診療時間を対応付けていてもよい。第1の感染度は、感染症に対する患者の感染具合を示す。例えば、第1の感染度は、複数の感染レベルから選択された1つの感染レベルであるが、これに限定されない。第1の感染度は、医師の診断によって決定されてもよい。診療時間データベースは、第2の感染度毎に診療時間を対応付けていてもよい。第2の感染度は、感染症に罹っている患者から別の患者への感染症の感染のし易さを示す。例えば、第2の感染度は、感染のし易さに応じた複数のレベルから選択された1つのレベルであるが、これに限定されない。第2の感染度は、医師の診断によって決定されてもよい。診療時間データベースは、同じ症状であっても、患者の属性毎に診療時間を対応付けていてもよい。診療時間データベースで管理されている診療時間は、医師毎に異なっていてもよい。診療時間データベースで管理されている診療時間は、プロセッサ11によって過去の実際の診療時間に基づいて導かれてもよい。診療時間データベースで管理されている診療時間は、プロセッサ11によって診療時間の蓄積に応じて適宜修正されてもよい。 The storage device 14 stores a medical hours database. The medical treatment time database is a database that manages each of a plurality of symptoms in association with the medical treatment time. The medical treatment time is the time required for medical treatment by a doctor. The medical hours database may be associated with medical hours for each type of infectious disease. The medical hours database may be associated with medical hours for each first infection degree. The first degree of infection indicates the degree of infection of the patient with the infection. For example, the first degree of infection is, but not limited to, one infection level selected from a plurality of infection levels. The first degree of infection may be determined by a doctor's diagnosis. The medical hours database may associate the medical hours for each second degree of infection. The second degree of infection indicates the ease of transmission of the infection from one patient having the infection to another. For example, the second degree of infection is one level selected from a plurality of levels according to the ease of infection, but is not limited to this. The second degree of infection may be determined by a doctor's diagnosis. The medical hours database may be associated with the medical hours for each attribute of the patient, even if the symptoms are the same. The medical hours managed by the medical hours database may be different for each doctor. The medical hours managed by the medical hours database may be derived by the processor 11 based on past actual medical hours. The medical treatment time managed in the medical treatment time database may be appropriately modified by the processor 11 according to the accumulation of the medical treatment time.

 記憶装置14は、診療不可時間データベースを格納する。診療不可時間データベースは、複数の感染症の各感染症と診療不可時間とを対応付けて管理するデータベースである。診療不可時間は、感染症に罹った患者の診療後に別の患者の診療が不可能な時間である。例えば、診療不可時間は、消毒などの作業に要する時間である。医療機関が診療不可時間を設ける理由は、医療機関が感染症に罹った患者の診療後に消毒などの作業を必要とするからである。診療不可時間データベースは、感染症の種類毎に診療不可時間を対応付けていてもよい。診療時間データベースは、第1の感染度毎に診療不可時間を対応付けていてもよい。診療時間データベースは、第2の感染度毎に診療不可時間を対応付けていてもよい。診療時間データベースで管理されている診療時間は、適宜修正されてもよい。 The storage device 14 stores a non-medical time database. The non-medical time database is a database that manages each infectious disease of a plurality of infectious diseases and non-medical time in association with each other. The non-treatment time is a time during which a patient suffering from an infectious disease cannot be treated after the treatment of another patient. For example, the non-medical time is the time required for operations such as disinfection. The reason why the medical institution sets the non-treatment time is that the medical institution requires an operation such as disinfection after medical treatment of a patient suffering from an infectious disease. The non-treatment time database may associate non-treatment time with each type of infectious disease. The medical treatment time database may associate a non-medical treatment time for each first infection degree. The medical treatment time database may associate a non-medical treatment time for each second degree of infection. The medical hours managed in the medical hours database may be modified as appropriate.

 通信インタフェース15は、EHRサーバ1を他の装置と通信可能に接続するためのインタフェースである。通信インタフェース15は、有線通信のためのインタフェースを含んでいても、無線通信のためのインタフェースを含んでいてもよい。 The communication interface 15 is an interface for communicatively connecting the EHR server 1 to another device. The communication interface 15 may include an interface for wired communication or may include an interface for wireless communication.

 なお、EHRサーバ1の具体的なハードウェア構成に関して、実施形態に応じて、適宜、構成要素の省略、置換及び追加が可能である。例えば、EHRサーバ1は、複数のプロセッサを含んでもよい。 Regarding the specific hardware configuration of the EHR server 1, it is possible to appropriately omit, replace, and add components according to the embodiment. For example, the EHR server 1 may include a plurality of processors.

  [診療データベース構成] 
 図4は、EHRサーバ1の記憶装置14に格納されている診療データベースを例示する図である。診療データベースは、各患者の診療データを管理する。診療データは、患者名に関するデータ、患者IDに関するデータ、属性に関するデータ、診療記録に関するデータ及び診療予約に関するデータを含む。
[Medical database configuration]
FIG. 4 is a diagram illustrating a medical care database stored in the storage device 14 of the EHR server 1. The medical care database manages medical care data of each patient. The medical treatment data includes data relating to patient names, data relating to patient IDs, data relating to attributes, data relating to medical records, and data relating to medical appointments.

 患者名に関するデータは、各患者の名前に関するデータである。患者IDに関するデータは、各患者に一意に割り当てられた識別情報に関するデータである。属性に関するデータは、各患者に備わる特徴に関するデータである。属性に関するデータは、性別に関するデータ及び年齢に関するデータを含む。 デ ー タ Data on patient name is data on the name of each patient. The data relating to the patient ID is data relating to identification information uniquely assigned to each patient. The data on attributes is data on characteristics of each patient. The data related to attributes includes data related to gender and data related to age.

 診療記録に関するデータは、各患者の過去の診療済の記録または現在診療中の記録に関するデータである。診療記録に関するデータは、診療開始日時に関するデータ及び症状に関するデータを含む。診療開始日時に関するデータは、医療機関により患者の診療が開始された日時に関するデータである。症状に関するデータは、医療機関によって診断された患者の症状に関するデータである。症状に関するデータは、具体的な症状名に関するデータを含む。症状に関するデータは、症状の種類に関するデータ及び症状の度合に関するデータのうちの少なくとも何れか一方を含んでいてもよい。例えば、症状に関するデータは、感染症(具体的な感染症名)に関するデータを含んでいてもよい。この例では、症状に関するデータは、感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方を含んでいてもよい。 (4) The data relating to the medical record is data relating to the past medical record of each patient or the current medical record. The data on the medical record includes data on the medical treatment start date and time and data on the symptoms. The data on the medical treatment start date and time is data on the date and time when the medical treatment of the patient was started by the medical institution. The data on symptoms is data on symptoms of a patient diagnosed by a medical institution. The data on symptoms includes data on specific symptom names. The data on symptoms may include at least one of data on types of symptoms and data on degrees of symptoms. For example, data on symptoms may include data on infectious diseases (specific infectious disease names). In this example, the data relating to the symptoms may include at least one of data relating to the type of infectious disease, data relating to the first degree of infection, and data relating to the second degree of infection.

 診療予約に関するデータは、患者が次回医療機関で診療を受けるための予約に関するデータである。診療予約に関するデータは、予約の有無に関するデータ及び予約日時に関するデータを含む。予約の有無に関するデータは、患者が次回医療機関で診療を受けるための予約の有無に関するデータである。予約日時に関するデータは、患者が次回医療機関で診療を受けるための予約日時に関するデータである。 Data on medical appointment is data on an appointment for a patient to receive medical treatment at a medical institution next time. The data on medical appointment includes data on the presence or absence of an appointment and data on the appointment date and time. The data on the presence / absence of the reservation is data on the presence / absence of a reservation for the patient to receive medical treatment at the next medical institution. The data on the appointment date and time is data on the appointment date and time for the patient to receive medical treatment at a medical institution next time.

 なお、診療データは、患者名に関するデータ、患者IDに関するデータ、属性に関するデータ、診療記録に関するデータ及び診療予約に関するデータ以外のデータを含んでいてもよい。属性に関するデータは、性別に関するデータ及び年齢に関するデータに加えて、他のデータを含んでいてもよい。 The medical treatment data may include data other than data relating to patient names, data relating to patient IDs, data relating to attributes, data relating to medical records, and data relating to medical appointments. The data on the attribute may include other data in addition to the data on gender and the data on age.

 プロセッサ11は、以下に例示するように、診療データを管理する。プロセッサ11は、通信インタフェース15を介して、医療関係者がPCを用いて作成した電子カルテを受ける。プロセッサ11は、電子カルテから診療データの各項目に対応するデータを取得する。電子カルテの患者が診療データベースで管理されていない場合、プロセッサ11は、この患者の診療データを作成し、診療データを診療データベースで管理する。電子カルテの患者が既に診療データベースで管理されている場合、プロセッサ11は、この患者の診療データを更新する。 The processor 11 manages medical data as exemplified below. The processor 11 receives, via the communication interface 15, an electronic medical chart created by a medical professional using a PC. The processor 11 acquires data corresponding to each item of the medical care data from the electronic medical record. When the patient of the electronic medical record is not managed in the medical care database, the processor 11 creates the medical care data of the patient and manages the medical care data in the medical care database. If the patient of the electronic medical record is already managed in the medical care database, the processor 11 updates the medical care data of the patient.

 なお、電子カルテは、医療関係者が診療を終えた時点で作成されるだけでなく、医療関係者が診療中にも作成される。そのため、プロセッサ11は、医療関係者が診療を終えた患者の診療データだけでなく、医療関係者が現在診療中の患者の診療データを作成または更新する。 電子 In addition, the electronic medical record is created not only when the medical staff finishes the medical treatment, but also during the medical staff's medical treatment. Therefore, the processor 11 creates or updates not only the medical data of the patient whose medical staff has completed the medical treatment, but also the medical data of the patient whose medical staff is currently undergoing medical care.

 なお、電子カルテは、医療機関での診療の予約ありの患者だけでなく、医療機関での診療の予約なしの患者にも作成される。そのため、プロセッサ11は、医療機関での診療の予約ありの患者の診療データだけでなく、医療機関での診療の予約なしの患者の診療データを作成または更新する。 Electronic medical records are created not only for patients with medical treatment reservations at medical institutions, but also for patients without medical treatment reservations at medical institutions. Therefore, the processor 11 creates or updates not only the medical treatment data of the patient with the reservation of the medical treatment at the medical institution but also the treatment data of the patient without the reservation of the medical treatment at the medical institution.

 [ソフトウェア構成] 
 図4は、EHRサーバ1のソフトウェア構成を例示するブロック図である。
 プロセッサ11は、取得部111、第1の推定部112、第2の推定部113及び出力部114を実装する。
[Software Configuration]
FIG. 4 is a block diagram illustrating a software configuration of the EHR server 1.
The processor 11 implements an acquisition unit 111, a first estimation unit 112, a second estimation unit 113, and an output unit 114.

 取得部111について説明する。取得部111は、以下に例示するように、第1の患者の症状に関するデータを含む診療データを取得する。まず、取得部111は、任意のタイミングで記憶装置14から第1の患者の診療データを取得する。次に、取得部111は、第1の患者の診療データを第1の推定部112へ送る。 The acquisition unit 111 will be described. The acquisition unit 111 acquires medical data including data relating to symptoms of the first patient, as exemplified below. First, the acquisition unit 111 acquires medical data of the first patient from the storage device 14 at an arbitrary timing. Next, the acquiring unit 111 sends the medical care data of the first patient to the first estimating unit 112.

 第1の患者の診療データは、患者名に関するデータ、患者IDに関するデータ、属性に関するデータ、診療記録に関するデータ及び診療予約に関するデータを含む。第1の患者の診療記録に関するデータは、第1の患者の診療開始日時に関するデータ及び第1の患者の症状に関するデータを含む。第1の患者が感染症と診断された場合、第1の患者の症状に関するデータは、第1の患者の感染症に関するデータを含む。さらに、第1の患者の症状に関するデータは、第1の患者の感染症の種類に関するデータ、第1の患者の感染具合を示す第1の感染度に関するデータ及び第1の患者から別の患者への感染症の感染のし易さを示す第2の感染度に関するデータのうちの少なくとも何れか一方を含んでいてもよい。第1の患者の診療予約に関するデータは、第1の患者の予約の有無に関するデータ及び第1の患者の予約日時に関するデータを含む。 The medical data of the first patient includes data relating to the patient name, data relating to the patient ID, data relating to the attribute, data relating to the medical record, and data relating to the medical appointment. The data relating to the medical record of the first patient includes data relating to the medical treatment start date and time of the first patient and data relating to the symptoms of the first patient. If the first patient has been diagnosed with an infection, the data regarding the symptoms of the first patient include data regarding the infection of the first patient. Further, the data on the symptoms of the first patient includes the data on the type of infection of the first patient, the data on the first degree of infection indicating the degree of infection of the first patient, and the data from the first patient to another patient. At least one of data on the second degree of infection, which indicates the likelihood of infection of the infectious disease. The data on the medical appointment of the first patient includes data on the presence or absence of the appointment of the first patient and data on the date and time of the appointment of the first patient.

 第1の患者は、対象の医師による現在診療中または将来診療予定の患者である。 
 第1の患者が対象の医師による現在診療中の患者である場合、第1の患者は、対象の医師による診療の予約なしの患者であってもよい。これに代えて、第1の患者が対象の医師による現在診療中の患者である場合、第1の患者は、対象の医師による診療の予約ありの患者であってもよい。第1の患者が対象の医師による現在診療中の患者である場合、第1の患者の診療記録に関するデータは、現在の診療に関連するデータである。
The first patient is a patient who is currently undergoing medical treatment by the subject physician or is scheduled to be treated in the future.
If the first patient is a patient currently under medical care by the subject physician, the first patient may be a patient without a reservation for medical care by the subject physician. Alternatively, when the first patient is a patient currently undergoing medical treatment by the target doctor, the first patient may be a patient with a reservation for medical treatment by the target doctor. If the first patient is a patient currently undergoing medical treatment by the target physician, the data relating to the medical record of the first patient is data relating to the current medical treatment.

 第1の患者が対象の医師による将来診療予定の患者である場合、第1の患者は、対象の医師による診療の予約ありの患者である。第1の患者が対象の医師による将来診療予定の患者である場合、第1の患者の診療記録に関するデータは、過去の診療に関連するデータである。 If the first patient is a patient scheduled to be treated in the future by the target doctor, the first patient is a patient who has a reservation for medical treatment by the target doctor. When the first patient is a patient scheduled to be treated in the future by the target doctor, the data on the medical record of the first patient is data related to past medical treatment.

 第1の推定部112について説明する。第1の推定部112は、以下に例示するように、第1の患者の症状に関するデータに基づいて、診療予定時間帯を推定する。診療予定時間帯は、対象の医師による第1の患者の診療のための時間帯である。診療予定時間帯は、第1の時間帯ともいう。 The first estimating unit 112 will be described. The first estimating unit 112 estimates the scheduled medical treatment time zone based on data on the symptoms of the first patient, as exemplified below. The scheduled medical treatment time period is a time period for medical treatment of the first patient by the target doctor. The scheduled medical treatment time zone is also referred to as a first time zone.

 まず、第1の推定部112は、取得部111から第1の患者の診療データを受ける。次に、第1の推定部112は、第1の患者の診療データから第1の患者の症状に関するデータを取得する。次に、第1の推定部112は、第1の患者の症状に関するデータに基づいて、対象の医師による第1の患者の診療に要する診療時間を推定する。例えば、第1の推定部112は、記憶装置14に格納されている診療時間データベースを参照して、第1の患者の診療時間を推定する。第1の推定部112は、第1の患者についての診療時間の推定に、第1の患者の診療データに含まれる第1の患者の属性に関するデータを用いてもよい。 First, the first estimating unit 112 receives medical data of the first patient from the acquiring unit 111. Next, the first estimating unit 112 acquires data on the symptoms of the first patient from the medical care data of the first patient. Next, the first estimating unit 112 estimates the medical treatment time required for medical treatment of the first patient by the target doctor based on the data on the symptoms of the first patient. For example, the first estimating unit 112 estimates the medical treatment time of the first patient with reference to the medical treatment time database stored in the storage device 14. The first estimating unit 112 may use data relating to the attribute of the first patient included in the medical data of the first patient for estimating the medical treatment time for the first patient.

 次に、第1の推定部112は、第1の患者の診療時間に基づいて、診療予定時間帯を推定する。例えば、第1の推定部112は、診療開始日時または予約日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。第1の患者が対象の医師による現在診療中の患者である場合、第1の推定部112は、診療開始日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。第1の患者が対象の医師による将来診療予定の患者である場合、第1の推定部112は、予約日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。 Next, the first estimating unit 112 estimates the scheduled medical treatment time zone based on the medical treatment time of the first patient. For example, the first estimating unit 112 estimates a time period from the medical treatment start date or time to the time after the medical treatment time has elapsed as the medical treatment scheduled time period. When the first patient is a patient who is currently undergoing medical treatment by the target doctor, the first estimating unit 112 estimates the time period from the medical treatment start date to the time after the lapse of the medical treatment time as the scheduled medical treatment time period. . When the first patient is a patient scheduled to be treated in the future by the target doctor, the first estimating unit 112 estimates the time period from the reservation date and time to the time after the lapse of the medical treatment time as the scheduled treatment time period.

 なお、第1の患者の症状に関するデータが感染症に関するデータを含む場合、第1の推定部112は、感染症に関するデータに基づいて、診療予定時間帯を推定する。第1の患者の症状に関するデータが感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方を含むものとする。この場合、第1の推定部112は、感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、診療予定時間帯を推定する。 If the data on the symptoms of the first patient includes data on infectious diseases, the first estimating unit 112 estimates the scheduled medical treatment time zone based on the data on infectious diseases. It is assumed that the data on the symptoms of the first patient includes at least one of data on the type of infectious disease, data on the first degree of infection, and data on the second degree of infection. In this case, the first estimating unit 112 estimates the scheduled medical treatment time zone based on at least one of data on the type of infectious disease, data on the first degree of infection, and data on the second degree of infection. I do.

 なお、第1の患者が対象の医師による予約なしの患者である場合、第1の推定部112は、対象の医師による予約なしの第1の患者の診療のための診療予定時間帯を推定する。この例では、第1の推定部112は、診療開始日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。他方、第1の患者が対象の医師による予約ありの患者である場合、第1の推定部112は、対象の医師による予約ありの第1の患者の診療のための診療予定時間帯を推定する。この例では、第1の患者が対象の医師による現在診療中の患者である場合、第1の推定部112は、診療開始日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。第1の患者が対象の医師による将来診療予定の患者である場合、第1の推定部112は、予約日時から診療時間経過後の時刻までの間の時間帯を診療予定時間帯として推定する。 When the first patient is a patient without a reservation by the target doctor, the first estimating unit 112 estimates a scheduled medical treatment time slot for medical treatment of the first patient without a reservation by the target doctor. . In this example, the first estimating unit 112 estimates the time zone from the medical treatment start date and time to the time after the elapse of the medical care time as the scheduled medical care time zone. On the other hand, when the first patient is a patient with a reservation by the target doctor, the first estimating unit 112 estimates a scheduled medical treatment time slot for medical treatment of the first patient with a reservation by the target doctor. . In this example, if the first patient is a patient currently undergoing medical treatment by the target doctor, the first estimating unit 112 sets the time period from the medical treatment start date and time to the time after the medical treatment time has elapsed, as the scheduled treatment time. Estimate as a band. When the first patient is a patient scheduled to be treated in the future by the target doctor, the first estimating unit 112 estimates the time period from the reservation date and time to the time after the lapse of the medical treatment time as the scheduled treatment time period.

 次に、第1の推定部112は、第1の推定結果を第2の推定部113へ送る。第1の推定結果は、第1の患者の診療データ及び第1の患者の診療予定時間帯を含む。 Next, the first estimating unit 112 sends the first estimation result to the second estimating unit 113. The first estimation result includes the medical treatment data of the first patient and the scheduled medical treatment time zone of the first patient.

 第2の推定部113について説明する。第2の推定部113は、以下に例示するように、第1の患者の診療予定時間帯に基づいて、診療許容時間帯を推定する。診療許容時間帯は、対象の医師による第2の患者の診療を許容する第1の患者の診療予定時間帯以後の時間帯である。診療許容時間帯は、第1の患者の診療予定時間帯に連続する時間帯でもいいし、第1の患者の診療予定時間帯から間をあけた時間帯であってもよい。診療許容時間帯は、第2の時間帯ともいう。第2の推定部113は、第1の患者の診療予定時間帯に基づいて、第2の患者の診療開始時刻を推定してもよい。診療開始時刻は、対象の医師による第2の患者の診療を許容する第1の患者の診療予定時間帯以後の時刻である。 に つ い て The second estimating unit 113 will be described. The second estimating unit 113 estimates a medical treatment allowable time zone based on the scheduled medical care time zone of the first patient, as exemplified below. The medical treatment allowable time period is a time period after the scheduled medical treatment time period of the first patient in which the target physician allows the medical treatment of the second patient. The medical treatment allowable time zone may be a time zone that is continuous with the first patient's scheduled medical treatment time zone or a time zone that is separated from the first patient's scheduled medical treatment time zone. The medical treatment allowable time zone is also referred to as a second time zone. The second estimating unit 113 may estimate the medical care start time of the second patient based on the scheduled medical care time of the first patient. The medical treatment start time is a time after the scheduled medical treatment time slot of the first patient that permits the medical treatment of the second patient by the target doctor.

 第2の患者は、対象の医師による診療を予約している患者である。第2の患者は、第1の患者が現在診療中の患者である場合、第1の患者の診療開始日時と同日であって、第1の患者の診療開始日時より後の時刻に診療予約をしている患者である。第2の患者は、第1の患者が将来診療予定の患者である場合、第1の患者の予約日時と同日であって、第1の患者の予約日時より後の時刻に診療予約をしている患者である。 The second patient is a patient who has reserved medical treatment by the target doctor. If the first patient is currently undergoing medical treatment, the second patient makes a medical appointment at the same day as the medical treatment start date and time of the first patient and later than the medical treatment start date and time of the first patient. Patient. If the first patient is a patient scheduled to undergo medical treatment in the future, the second patient makes a medical treatment appointment at the same date as the appointment date and time of the first patient and later than the appointment date and time of the first patient. Patient.

 まず、第2の推定部113は、第1の推定部112から第1の推定結果を受ける。次に、第2の推定部113は、第1の推定結果から第1の患者の診療予定時間帯を取得する。次に、第2の推定部113は、第1の患者の診療予定時間帯に基づいて、診療許容時間帯または診療開始時刻を推定する。一例では、第2の推定部113は、第1の患者の診療予定時間帯以後の任意の時間帯を診療許容時間帯として推定する。同様に、第2の推定部113は、第1の患者の診療予定時間帯以後の任意の時刻を診療開始時刻として推定する。別の例では、第2の推定部113は、対象の医師のスケジュールを参照し、第1の患者の診療予定時間帯以後の時間帯のうち対象の医師が第2の患者を診療可能な時間帯を診療許容時間帯として推定する。同様に、第2の推定部113は、第1の患者の診療予定時間帯以後の時刻のうち対象の医師が第2の患者を診療可能な時刻を診療開始時刻として推定する。 {First, the second estimating unit 113 receives the first estimation result from the first estimating unit 112. Next, the second estimating unit 113 acquires the scheduled medical treatment time slot of the first patient from the first estimation result. Next, the second estimation unit 113 estimates a medical treatment allowable time zone or a medical treatment start time based on the scheduled medical treatment time zone of the first patient. In one example, the second estimating unit 113 estimates an arbitrary time period after the scheduled medical treatment time period of the first patient as the medical treatment allowable time period. Similarly, the second estimating unit 113 estimates any time after the scheduled treatment time of the first patient as the medical treatment start time. In another example, the second estimating unit 113 refers to the schedule of the target doctor and sets the time during which the target doctor can treat the second patient in the time period after the scheduled treatment time of the first patient. The obi is estimated as the medical treatment allowable time zone. Similarly, the second estimation unit 113 estimates a time at which the target doctor can treat the second patient among the times after the scheduled treatment time of the first patient as the treatment start time.

 なお、第2の推定部113は、第1の患者の診療予定時間帯及び感染症に関するデータに基づいて、診療許容時間帯または診療開始時刻を推定してもよい。この例では、第2の推定部113は、第1の患者の診療データから第1の患者の感染症に関するデータを取得する。第1の推定部112は、記憶装置14に格納されている診療不可時間データベースを参照する。第2の推定部113は、第1の患者の感染症に関するデータに基づいて、第1の患者の診察予定時間帯以後の対象の医師による診療不可時間を推定する。第2の推定部113は、第1の患者の診察予定時間帯から診療不可時間経過後の時刻以後の任意の時間帯を診療許容時間帯として推定する。同様に、第2の推定部113は、第1の患者の診察予定時間帯から診療不可時間経過後の時刻以後の任意の時刻を診療開始時刻として推定する。 Note that the second estimating unit 113 may estimate the medical treatment allowable time zone or the medical treatment start time based on the scheduled treatment time zone of the first patient and data on the infectious disease. In this example, the second estimating unit 113 acquires data on the infectious disease of the first patient from the medical treatment data of the first patient. The first estimating unit 112 refers to a non-medical time database stored in the storage device 14. The second estimating unit 113 estimates, based on the data on the infectious disease of the first patient, the non-medical hours by the target doctor after the scheduled time of examination of the first patient. The second estimating unit 113 estimates an arbitrary time zone after the time after the lapse of the non-treatment time from the scheduled examination time zone of the first patient as the medical treatment allowable time zone. Similarly, the second estimating unit 113 estimates an arbitrary time after the time after the lapse of the non-medical treatment time from the scheduled examination time slot of the first patient as the medical treatment start time.

 なお、第2の推定部113は、第1の患者の診療予定時間帯並びに感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、診療許容時間帯または診療開始時刻を推定してもよい。この例では、第2の推定部113は、第1の患者の診療データから第1の患者の感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方を取得する。第2の推定部113は、記憶装置14に格納されている診療不可時間データベースを参照する。第2の推定部113は、第1の患者の感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、第1の患者の診察予定時間帯以後の対象の医師による診療不可時間を推定する。第2の推定部113は、第1の患者の診察予定時間帯から診療不可時間経過後の時刻以後の任意の時間帯を診療許容時間帯として推定する。同様に、第2の推定部113は、第1の患者の診察予定時間帯から診療不可時間経過後の時刻以後の任意の時刻を診療開始時刻として推定する。 In addition, the second estimating unit 113 stores at least one of the data on the scheduled treatment time of the first patient and the type of infectious disease, the data on the first degree of infection, and the data on the second degree of infection. Based on this, the medical treatment allowable time zone or the medical treatment start time may be estimated. In this example, the second estimating unit 113 selects, from the medical data of the first patient, data on the type of infectious disease of the first patient, data on the first degree of infection, and data on the second degree of infection. Acquire at least one of them. The second estimating unit 113 refers to the medical treatment unavailable time database stored in the storage device 14. The second estimating unit 113 is configured to determine whether the first patient is a first patient based on at least one of data on the type of infectious disease of the first patient, data on the first degree of infection, and data on the second degree of infection. Of medical treatment unavailable by the target doctor after the scheduled medical examination time zone is estimated. The second estimating unit 113 estimates an arbitrary time zone after the time after the lapse of the non-treatment time from the scheduled examination time zone of the first patient as the medical treatment allowable time zone. Similarly, the second estimating unit 113 estimates an arbitrary time after the time after the lapse of the non-medical treatment time from the scheduled examination time slot of the first patient as the medical treatment start time.

 次に、第2の推定部113は、第2の推定結果を出力部114へ送る。第2の推定結果は、第1の患者の診療データ及び診療許容時間帯または診療開始時刻を含む。 Next, the second estimation unit 113 sends the second estimation result to the output unit 114. The second estimation result includes the medical treatment data of the first patient and the medical treatment allowable time zone or the medical treatment start time.

 出力部114について説明する。出力部114は、通信インタフェース15を介して、種々の情報を第2の患者の携帯端末2へ出力する。 The output unit 114 will be described. The output unit 114 outputs various information to the portable terminal 2 of the second patient via the communication interface 15.

 一例では、出力部114は、以下に例示するように、第2の患者へ診療許容時間帯または診療開始時刻を提示する情報を出力する。この例では、まず、出力部114は、第2の推定部113から第2の推定結果を受ける。出力部114は、第2の推定結果から診療許容時間帯または診療開始時刻を取得する。次に、出力部114は、記憶装置14に格納されている診療データベースを参照し、上述の第2の患者の条件に該当する患者を特定する。なお、第2の患者の予約日時は、診療許容時間帯に含まれていてもいいし、診療許容時間帯に含まれていなくてもよい。次に、出力部114は、通信インタフェース15を介して、診療許容時間帯または診療開始時刻を提示する情報を第2の患者の携帯端末2へ出力する。携帯端末2は、EHRサーバ1からの情報に基づいて、診療許容時間帯または診療開始時刻を表示する。 In one example, the output unit 114 outputs information for presenting the medical treatment allowable time zone or the medical treatment start time to the second patient as exemplified below. In this example, first, the output unit 114 receives the second estimation result from the second estimation unit 113. The output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result. Next, the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition. Note that the reservation date and time of the second patient may or may not be included in the allowable medical treatment time zone. Next, the output unit 114 outputs, to the portable terminal 2 of the second patient, information indicating the medical treatment allowable time zone or the medical treatment start time via the communication interface 15. The mobile terminal 2 displays a medical treatment allowable time zone or a medical treatment start time based on information from the EHR server 1.

 別の例では、出力部114は、以下に例示するように、第2の患者の予約日時の変更を支援する情報を出力する。この例では、まず、出力部114は、第2の推定部113から第2の推定結果を受ける。出力部114は、第2の推定結果から診療許容時間帯または診療開始時刻を取得する。次に、出力部114は、記憶装置14に格納されている診療データベースを参照し、上述の第2の患者の条件に該当する患者を特定する。次に、出力部114は、記憶装置14に格納されている診療データベースから第2の患者の診療データを取得する。次に、出力部114は、第2の患者の診療データから第2の患者の予約日時に関するデータを取得する。次に、出力部114は、第2の患者の予約日時が診療許容時間帯に含まれているか否かを判断する。例えば、第1の推定部112によって推定される第1の患者の診療予定時間帯が第2の患者の予約日時を含む場合、第2の患者の予約日時は診療許容時間帯に含まれない。 In another example, the output unit 114 outputs information that assists the second patient in changing the appointment date and time as exemplified below. In this example, first, the output unit 114 receives the second estimation result from the second estimation unit 113. The output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result. Next, the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition. Next, the output unit 114 acquires the medical care data of the second patient from the medical care database stored in the storage device 14. Next, the output unit 114 acquires data on the reservation date and time of the second patient from the medical treatment data of the second patient. Next, the output unit 114 determines whether or not the appointment date and time of the second patient is included in the medical treatment allowable time zone. For example, when the scheduled medical treatment time slot of the first patient estimated by the first estimating unit 112 includes the reservation date and time of the second patient, the reservation date and time of the second patient is not included in the medical treatment allowable time slot.

 第2の患者の予約日時が診療許容時間帯に含まれない場合、出力部114は、通信インタフェース15を介して、第2の患者の予約日時の変更を支援する情報を第2の患者の携帯端末2へ出力する。携帯端末2は、EHRサーバ1からの情報に基づいて、予約日時を変更するための画面を表示する。これにより、第2の患者は、診療許容時間帯に含まれる日時に予約を変更することができる。なお、予約日時の変更を支援する情報は、第1の患者の感染症に関する情報を含んでいてもよい。第1の患者の感染症に関する情報は、医療機関で感染症に罹った第1の患者が診療されている旨の情報を含んでいてもよい。第1の患者の感染症に関する情報は、具体的な感染症名の情報を含んでいてもよい。第1の患者の感染症に関する情報は、第1の患者の感染具合を示す第1の感染度に関する情報を含んでいてもよい。第1の患者の感染症に関する情報は、第1の患者から別の患者への感染症の感染のし易さを示す第2の感染度に関する情報を含んでいてもよいこの場合、携帯端末2は、EHRサーバ1からの情報に基づいて、第1の患者の感染症に関する情報を表示する。これにより、第2の患者は、自身よりも前に診療を受けている第1の患者の感染症に関する情報を得ることで、自身が感染症に罹らないように対応することができる。例えば、第2の患者は、別の日に予約を変更したり、診療許容時間帯のうちの遅い日時に予約を変更したりすることができる。 
 他方、第2の患者の予約日時が診療許容時間帯に含まれる場合、出力部114は、第2の患者の予約日時の変更を支援する情報を第2の患者の携帯端末2へ出力しなくてもよい。その理由は、第2の患者が予約日時を変更する必要がないからである。
If the scheduled date and time of the second patient is not included in the medical treatment permissible time zone, the output unit 114 transmits, via the communication interface 15, information supporting the change of the scheduled date and time of the second patient to the second patient. Output to terminal 2. The mobile terminal 2 displays a screen for changing the reservation date and time based on the information from the EHR server 1. Thereby, the second patient can change the reservation to a date and time included in the medical treatment allowable time zone. Note that the information supporting the change of the reservation date and time may include information regarding the infectious disease of the first patient. The information on the infection of the first patient may include information indicating that the first patient with the infection is being treated at a medical institution. The information on the infection of the first patient may include information on a specific infection name. The information on the infection of the first patient may include information on the first degree of infection indicating the degree of infection of the first patient. The information regarding the infection of the first patient may include information regarding the second degree of infection indicating the ease of transmission of the infection from the first patient to another patient. Displays information on the infectious disease of the first patient based on the information from the EHR server 1. Accordingly, the second patient can cope with not having the infectious disease by obtaining information on the infectious disease of the first patient who is receiving medical treatment before the second patient. For example, the second patient can change the appointment on another day, or change the appointment at a later date and time in the medical treatment allowable time zone.
On the other hand, when the appointment date and time of the second patient is included in the medical treatment permissible time zone, the output unit 114 does not output information for supporting the change of the appointment date and time of the second patient to the portable terminal 2 of the second patient. You may. The reason is that the second patient does not need to change the reservation date and time.

 さらに別の例では、出力部114は、第1の患者の感染症に関するデータに基づいて、第2の患者へ来院の注意を与える情報を出力する。まず、出力部114は、第2の推定部113から第2の推定結果を受ける。出力部114は、第2の推定結果から診療許容時間帯または診療開始時刻を取得する。次に、出力部114は、記憶装置14に格納されている診療データベースを参照し、上述の第2の患者の条件に該当する患者を特定する。なお、第2の患者の予約日時は、診療許容時間帯に含まれていてもいいし、診療許容時間帯に含まれていなくてもよい。次に、出力部114は、第2の推定結果から第1の患者の診療データを取得する。出力部114は、第1の患者の診療データに感染症に関するデータが含まれているか否かを判断する。第1の患者の診療データに感染症に関するデータが含まれている場合、出力部114は、通信インタフェース15を介して、来院の注意を与える情報を第2の患者の携帯端末2へ出力する。携帯端末2は、EHRサーバ1からの情報に基づいて、来院の注意を与える情報を表示する。例えば、来院の注意を与える情報は、医療機関で感染症に罹った患者が診療されている旨の情報を含む。他方、第1の患者の診療データに感染症に関するデータが含まれていない場合、出力部114は、第2の患者へ来院の注意を与える情報の出力を省略する。 In yet another example, the output unit 114 outputs information that gives attention to a second patient to visit based on data related to an infection of the first patient. First, the output unit 114 receives the second estimation result from the second estimation unit 113. The output unit 114 acquires a medical treatment allowable time zone or a medical treatment start time from the second estimation result. Next, the output unit 114 refers to the medical care database stored in the storage device 14 and specifies a patient that meets the above-described second patient condition. Note that the reservation date and time of the second patient may or may not be included in the allowable medical treatment time zone. Next, the output unit 114 acquires medical care data of the first patient from the second estimation result. The output unit 114 determines whether or not the medical data of the first patient includes data on an infectious disease. When the medical data of the first patient includes data related to an infectious disease, the output unit 114 outputs, via the communication interface 15, information that gives attention to a visit to the portable terminal 2 of the second patient. The mobile terminal 2 displays information for giving attention to a hospital visit based on information from the EHR server 1. For example, the information giving a visit notice includes information indicating that a patient suffering from an infectious disease is being treated at a medical institution. On the other hand, when the medical data of the first patient does not include the data on the infectious disease, the output unit 114 omits the output of the information for giving the second patient the attention of the visit.

 §3 動作例 
 <EHRサーバ> 
 [診療許容時間帯推定動作]  
 図6は、EHRサーバ1における診療許容時間帯推定動作を例示するフローチャートである。 
 なお、以下で説明する処理手順は一例に過ぎず、各処理は可能な限り変更されてよい。また、以下で説明する処理手順については、適宜、ステップの省略、置換及び追加が可能である。
§3 Operation example
<EHR server>
[Medical treatment time zone estimation operation]
FIG. 6 is a flowchart illustrating an operation of estimating a medical treatment allowable time zone in the EHR server 1.
Note that the processing procedure described below is merely an example, and each processing may be changed as much as possible. In the processing procedure described below, steps can be omitted, replaced, and added as appropriate.

 取得部111は、例示したように、第1の患者の症状に関するデータを含む診療データを取得する(ステップS101)。取得部111は、第1の患者の診療データを第1の推定部112へ送る。 As described above, the acquisition unit 111 acquires medical data including data relating to the symptoms of the first patient (Step S101). The acquisition unit 111 sends the medical data of the first patient to the first estimation unit 112.

 第1の推定部112は、例示したように、第1の患者の症状に関するデータに基づいて、第1の患者の診療予定時間帯を推定する(ステップS102)。第1の推定部112は、第1の推定結果を第2の推定部113へ送る。 As shown in the example, the first estimating unit 112 estimates the scheduled treatment time of the first patient based on the data on the symptoms of the first patient (step S102). First estimating section 112 sends the first estimation result to second estimating section 113.

 第2の推定部113は、例示したように、第1の患者の診療予定時間帯に基づいて、診療許容時間帯または診療開始時刻を推定する(ステップS103)。第2の推定部113は、第2の推定結果を出力部114へ送る。 As illustrated, the second estimating unit 113 estimates the medical treatment allowable time zone or the medical treatment start time based on the scheduled medical treatment time zone of the first patient (Step S103). Second estimating section 113 sends the second estimation result to output section 114.

 出力部114は、例示したように、第2の推定結果に基づいて、種々の情報を第2の患者の携帯端末2へ出力する(ステップS104)。 The output unit 114 outputs various information to the portable terminal 2 of the second patient based on the second estimation result, as illustrated (step S104).

 [診療許容時間帯の推定例] 
 診療許容時間帯の推定例について説明する。 
 図7は、EHRサーバ1による診療許容時間帯の推定例を示す図である。
[Example of estimating allowable medical hours]
An example of estimating the medical treatment allowable time zone will be described.
FIG. 7 is a diagram illustrating an example of estimating a medical treatment allowable time zone by the EHR server 1.

 第1の患者は、図4に示す患者XXXとする。患者XXXは、救急搬送された予約なしの患者である。患者XXXの診療開始日時は、2018年6月11日10時である。第2の患者は、図4に示す患者YYYとする。患者YYYは、患者XXXを診療している医師による診療の予約ありの患者である。患者YYYの予約日時は、2018年6月11日12時である。 1 The first patient is the patient XXX shown in FIG. The patient XXX is a patient who has been transported by emergency and has no reservation. The medical treatment start date and time of patient XXX is 10:00 on June 11, 2018. The second patient is a patient YYY shown in FIG. The patient YYY is a patient who has a medical appointment by a doctor who is treating the patient XXX. The reservation date and time of patient YYY is 12:00 on June 11, 2018.

 EHRサーバ1は、2018年6月11日11時に診療許容時間帯推定動作を実行するものとする。取得部111は、患者XXXの症状に関するデータを含む診療データを取得する。取得部111は、患者XXXの診療データを第1の推定部112へ送る。第1の推定部112は、患者XXXの症状に関するデータに基づいて、2018年6月11日10時~13時を患者XXXの診療予定時間帯として推定する。第1の推定部112は、第1の推定結果を第2の推定部113へ送る。第2の推定部113は、患者XXXの診療予定時間帯に基づいて、患者XXXの診療予定時間帯以後の2018年6月11日13時~15時を診療許容時間帯として推定する。第2の推定部113は、患者XXXの診療予定時間帯に基づいて、患者YYYの診療開始時刻を推定してもよい。第2の推定部113は、第2の推定結果を出力部114へ送る。 It is assumed that the EHR server 1 executes a medical treatment allowable time zone estimation operation at 11:00 on June 11, 2018. The obtaining unit 111 obtains medical data including data on symptoms of the patient XXX. The acquisition unit 111 sends the medical care data of the patient XXX to the first estimation unit 112. The first estimating unit 112 estimates 10:00 to 13:00 on June 11, 2018 as a scheduled treatment time zone of the patient XXX based on data on the symptoms of the patient XXX. First estimating section 112 sends the first estimation result to second estimating section 113. The second estimating unit 113 estimates 13:00 to 15:00 on June 11, 2018 after the scheduled medical treatment time of the patient XXX as the allowable medical treatment time based on the scheduled medical treatment time of the patient XXX. The second estimating unit 113 may estimate the medical care start time of the patient YYY based on the scheduled medical care time of the patient XXX. Second estimating section 113 sends the second estimation result to output section 114.

 出力部114は、第2の推定結果に基づいて、診療許容時間帯または診療開始時刻を提示する情報を患者YYYの携帯端末2へ出力する。これに代えてまたはこれとともに、出力部114は、予約日時の変更を支援する情報を患者YYYの携帯端末2へ出力する。 The output unit 114 outputs, to the mobile terminal 2 of the patient YYY, information indicating the medical treatment allowable time zone or the medical treatment start time based on the second estimation result. Instead or together with this, the output unit 114 outputs information for supporting the change of the reservation date and time to the mobile terminal 2 of the patient YYY.

 §4 作用・効果
 以上説明したように、本実施形態では、EHRサーバ1は、第1の患者の症状に関するデータに基づいて第1の患者の診療予定時間帯を推定し、第1の患者の診療予定時間帯に基づいて、第2の患者の診療許容時間帯または診療開始時刻を推定する。 
 第2の患者の診療許容時間帯または診療開始時刻は、対象の医師による現在診療中または将来診療予定の第1の患者の診療予定時間帯に基づいて推定されるので、EHRサーバ1による診療許容時間帯の推定精度は向上する。第2の患者は診療許容時間帯または診療開始時刻に医療機関へ行けば所望の医師に待ち時間無く診療してもらえるので、所望の医師の診療を受ける予定の患者の利便性は向上する。
§4 Action / Effect As described above, in the present embodiment, the EHR server 1 estimates the scheduled treatment time of the first patient based on the data on the symptoms of the first patient, and The medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on the scheduled medical treatment time zone.
Since the medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on the medical treatment scheduled time period of the first patient currently undergoing medical treatment by the target doctor or scheduled to be treated in the future, the medical allowance by the EHR server 1 is permitted. The accuracy of time zone estimation is improved. If the second patient goes to the medical institution during the medical treatment allowable time zone or the medical treatment start time, the desired doctor can be treated without waiting time, so that the convenience of the patient scheduled to receive the medical treatment of the desired doctor is improved.

 さらに、本実施形態では、EHRサーバ1は、感染症に関するデータに基づいて第1の患者の診療予定時間帯を推定し、診療予定時間帯及び感染症に関するデータに基づいて、第2の患者の診療許容時間帯または診療開始時刻を推定する。 
 第1の患者が感染症に罹っていたとしても、EHRサーバ1は診療予定時間帯を適切に推定することができる。さらに、医療機関は、感染症に罹った第1の患者の診療後に消毒などの作業を行うことが多い。この場合、医療機関は、感染症に罹った第1の患者の診療終了後であってもすぐに他の患者の診療を開始することができないことがある。これに対して、EHRサーバ1は、第1の患者の診療終了後の消毒などの作業時間を考慮し、第2の患者の診療許容時間帯または診療開始時刻を適切に推定することができる。これにより、第2の患者は、自身の診療前に感染症患者の診療が行われた場合であっても、待ち時間無く診療を受けることが可能となる。
Furthermore, in the present embodiment, the EHR server 1 estimates the scheduled treatment time of the first patient based on the data on the infectious disease, and based on the scheduled treatment time and the data on the infectious disease, based on the data on the infectious disease. Estimate the medical treatment allowable time zone or the medical treatment start time.
Even if the first patient is infected, the EHR server 1 can appropriately estimate the scheduled medical treatment time zone. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. In this case, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed. On the other hand, the EHR server 1 can appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the second patient in consideration of the working time such as disinfection after the medical treatment of the first patient. Accordingly, the second patient can receive medical treatment without waiting even if medical treatment of an infectious disease patient is performed before the medical treatment of the second patient.

 さらに、本実施形態では、EHRサーバ1は、感染症の種類に関するデータ、感染症に対する第1の患者の感染具合を示す第1の感染度及び第1の患者から別の患者への感染症の感染のし易さを示す第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて診療予定時間帯を推定し、診療予定時間帯並びに感染症の種類に関するデータ、第1の感染度に関するデータ及び第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、第2の患者の診療許容時間帯または診療開始時刻を推定する。 
 診療予定時間帯は感染症の種類、第1の感染度及び第2の感染度のうちの少なくとも何れか一方に応じて診療に要する時間は変わるが、EHRサーバ1は診療予定時間帯を適切に推定することができる。さらに、医療機関は、感染症に罹った第1の患者の診療後に消毒などの作業を行うことが多い。その作業時間は、第1の患者が罹った感染症の種類、第1の感染度及び第2の感染度に応じて異なる。このため、医療機関は、感染症に罹った第1の患者の診療終了後であってもすぐに他の患者の診療を開始することができないことがある。これに対して、EHRサーバ1は、感染症の種類、第1の感染度及び第2の感染度に基づいて第1の患者の診療終了後の消毒などの作業時間を考慮し、第2の患者の診療許容時間帯または診療開始時刻を適切に推定することができる。これにより、第2の患者は、自身の診療前に感染症患者の診療が行われた場合に、その消毒作業中に来院してしまうことなく作業終了後に来院し診療を受けることが可能となる。
Further, in the present embodiment, the EHR server 1 stores the data on the type of infectious disease, the first degree of infection indicating the degree of infection of the first patient with respect to the infectious disease, and the number of infectious diseases from the first patient to another patient. The estimated medical treatment time zone is estimated based on at least one of the data on the second degree of infection indicating the ease of infection, and the data on the expected medical treatment time zone and the type of infectious disease and the first degree of infection are obtained. The medical treatment allowable time zone or the medical treatment start time of the second patient is estimated based on at least one of the data and the data on the second infection degree.
The scheduled time for medical treatment varies depending on at least one of the type of infectious disease, the first degree of infection, and the second degree of infection, but the EHR server 1 appropriately sets the scheduled time for medical treatment. Can be estimated. Furthermore, medical institutions often perform operations such as disinfection after medical treatment of the first patient with an infectious disease. The working time varies depending on the type of infection that the first patient has, the first degree of infection, and the second degree of infection. For this reason, the medical institution may not be able to immediately start the medical treatment of another patient even after the medical treatment of the first patient suffering from the infectious disease is completed. On the other hand, the EHR server 1 considers the work time such as disinfection after the medical treatment of the first patient based on the type of infectious disease, the first degree of infection, and the second degree of infection, and It is possible to appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the patient. Thereby, when the second patient is treated for an infectious disease patient before his / her own medical treatment, the second patient can come to the hospital after the work without receiving a medical treatment during the disinfection work and receive medical treatment. .

 さらに、本実施形態では、EHRサーバ1は、医師による予約なしの第1の患者の診療予定時間帯を推定する。 
 EHRサーバ1は、第1の患者が例えば救急搬送された診療の予約なしの患者であっても、医師による診療のための診療予定時間帯を適切に推定することができる。その結果、EHRサーバ1は、第2の患者の診療許容時間帯または診療開始時刻も第1の患者の診療予定時間帯に基づいて適切に推定することができる。
Further, in the present embodiment, the EHR server 1 estimates a scheduled medical treatment time zone of the first patient without a reservation by a doctor.
The EHR server 1 can appropriately estimate the scheduled medical treatment time slot for medical treatment by a doctor even if the first patient is, for example, a patient who has not been reserved for medical treatment and has been transported by emergency. As a result, the EHR server 1 can appropriately estimate the medical treatment allowable time zone or the medical treatment start time of the second patient based on the scheduled medical treatment time zone of the first patient.

 さらに、本実施形態では、EHRサーバ1は、第2の患者へ診療許容時間帯または診療開始時刻を提示する情報を出力する。 
 第2の患者は、所望の医師による診療を許容する診療許容時間帯または診療開始時刻を認識することができる。これにより、第2の患者は、医療機関での診察開始までの待ち時間を短くするように行動することができる。第2の患者の予約日時が診療許容時間帯に含まれていれば、第2の患者は、予約日時に医療機関へ行くことで医療機関での待ち時間なく所望の医師の診療を受けることができる。自身の予約日時が診療許容時間帯に含まれていなければ、第2の患者は、診療許容時間帯に医療機関へ行くことで医療機関での診察開始までの待ち時間を短くすることができる。
Further, in the present embodiment, the EHR server 1 outputs information for presenting the medical treatment allowable time zone or the medical treatment start time to the second patient.
The second patient can recognize the medical treatment allowable time period or medical treatment start time in which medical treatment by a desired doctor is permitted. Thereby, the second patient can act so as to shorten the waiting time until the start of the examination at the medical institution. If the appointment date and time of the second patient is included in the medical treatment allowable time zone, the second patient can go to a medical institution at the appointment date and time and receive a medical treatment of a desired doctor without waiting at the medical institution. it can. If the appointment date and time of the second patient are not included in the medical treatment allowable time zone, the second patient can shorten the waiting time until the start of medical examination at the medical institution by going to the medical institution during the medical allowable time zone.

 さらに、本実施形態では、EHRサーバ1は、第2の患者の予約日時の変更を支援する情報を出力する。 
 第2の患者は、例えば自身の予約日時が第1の患者の診療予定時間帯に含まれていれば予約日時を変更したいと考えるが、支援により容易に予約日時を変更することができる。
Further, in the present embodiment, the EHR server 1 outputs information that assists the second patient in changing the reservation date and time.
The second patient wants to change the appointment date and time if his / her appointment date and time are included in the scheduled medical treatment time slot of the first patient, but can easily change the appointment date and time with support.

 さらに、本実施形態では、EHRサーバ1は、第2の患者へ来院の注意を与える情報を出力する。 
 第2の患者は、例えば予約をしている医療機関で感染症に罹った第1の患者の診療が行われたことを認識することができる。第2の患者は、予約をキャンセルするなどして感染症の予防を講じることができる。
Further, in the present embodiment, the EHR server 1 outputs information for giving attention to the second patient to visit.
The second patient can recognize that the medical treatment of the first patient suffering from the infectious disease has been performed, for example, at the medical institution making the reservation. The second patient can take preventive measures against infectious diseases, such as canceling the reservation.

 §5 変形例 
 要するにこの発明は、本実施形態そのままに限定されるものではなく、実施段階ではその要旨を逸脱しない範囲で構成要素を変形して具体化できる。また、本実施形態に開示されている複数の構成要素の適宜な組み合せにより種々の発明を形成できる。例えば、本実施形態に示される全構成要素からいくつかの構成要素を削除してもよい。さらに、異なる実施形態に亘る構成要素を適宜組み合わせてもよい。
§5 Modification
In short, the present invention is not limited to the present embodiment as it is, and can be embodied by modifying its components in an implementation stage without departing from the scope of the invention. Various inventions can be formed by appropriately combining a plurality of components disclosed in the present embodiment. For example, some components may be deleted from all the components shown in the present embodiment. Further, components of different embodiments may be appropriately combined.

 §6 付記 
 本実施形態の一部または全部は、特許請求の範囲のほか以下の付記に示すように記載することも可能であるが、これに限定されない。 
 (付記) 
 第1の患者の症状に関するデータを取得する取得部(111)と、
 前記症状に関するデータに基づいて、医師による前記第1の患者の診療のための第1の時間帯を推定する第1の推定部(112)と、
 前記第1の時間帯に基づいて、前記医師による診療を予約している第2の患者の診療を許容する前記第1の時間帯以後の第2の時間帯または診療開始時刻を推定する第2の推定部(113)と、
 を備える情報処理装置(1)。
§6 Additional notes
Part or all of the present embodiment can be described as shown in the following supplementary notes in addition to the scope of the claims, but is not limited thereto.
(Note)
An acquisition unit (111) for acquiring data on symptoms of the first patient;
A first estimating unit (112) for estimating a first time period for medical treatment of the first patient by a doctor based on the data on the symptoms;
A second time period or a medical treatment start time for estimating a second time period or a medical treatment start time after the first time period in which medical treatment of a second patient who has reserved medical treatment by the doctor is allowed based on the first time period. Estimating unit (113),
An information processing device (1) including:

 1…EHRサーバ
 2…携帯端末 
 11…プロセッサ
 12…ROM
 13…RAM
 14…記憶装置
 15…通信インタフェース
 100…診療管理システム
 111…取得部
 112…第1の推定部
 113…第2の推定部
 114…出力部
1. EHR server 2. Mobile terminal
11: Processor 12: ROM
13 ... RAM
DESCRIPTION OF SYMBOLS 14 ... Storage device 15 ... Communication interface 100 ... Medical treatment management system 111 ... Acquisition part 112 ... First estimation part 113 ... Second estimation part 114 ... Output part

Claims (9)

 第1の患者の症状に関するデータを取得する取得部と、
 前記症状に関するデータに基づいて、医師による前記第1の患者の診療のための第1の時間帯を推定する第1の推定部と、
 前記第1の時間帯に基づいて、前記医師による診療を予約している第2の患者の診療を許容する前記第1の時間帯以後の第2の時間帯または診療開始時刻を推定する第2の推定部と、
 を備える情報処理装置。
An acquisition unit configured to acquire data relating to a symptom of the first patient;
A first estimating unit that estimates a first time slot for medical treatment of the first patient by a doctor based on the data on the symptoms;
A second time period or a medical treatment start time for estimating a second time period or a medical treatment start time after the first time period in which medical treatment of a second patient who has reserved medical treatment by the doctor is allowed based on the first time period. The estimator of
An information processing apparatus comprising:
 前記症状に関するデータは、前記第1の患者の感染症に関するデータを含み、
 前記第1の推定部は、前記感染症に関するデータに基づいて、前記第1の時間帯を推定し、
 前記第2の推定部は、前記第1の時間帯及び前記感染症に関するデータに基づいて、前記第2の時間帯または前記診療開始時刻を推定する、
 請求項1に記載の情報処理装置。
The data regarding the condition includes data regarding an infection of the first patient,
The first estimating unit estimates the first time zone based on data on the infectious disease,
The second estimating unit estimates the second time zone or the medical treatment start time based on the data on the first time zone and the infectious disease,
The information processing device according to claim 1.
 前記症状に関するデータは、前記第1の患者の感染症の種類に関するデータ、前記感染症に対する前記第1の患者の感染具合を示す第1の感染度に関するデータ及び前記第1の患者から別の患者への前記感染症の感染のし易さを示す第2の感染度に関するデータのうちの少なくとも何れか一方を含み、
 前記第1の推定部は、前記感染症の種類に関するデータ、前記第1の感染度に関するデータ及び前記第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、前記第1の時間帯を推定し、
 前記第2の推定部は、前記第1の時間帯並びに前記感染症の種類に関するデータ、前記第1の感染度に関するデータ及び前記第2の感染度に関するデータのうちの少なくとも何れか一方に基づいて、前記第2の時間帯または前記診療開始時刻を推定する、
 請求項1に記載の情報処理装置。
The symptom data includes data on the type of infection of the first patient, data on a first degree of infection indicating the degree of infection of the first patient with respect to the infection, and another patient from the first patient. Including at least one of data on a second degree of infection indicating the susceptibility of the infection to the infection,
The first estimating unit is configured to execute the first time period based on at least one of data on the type of the infectious disease, data on the first degree of infection, and data on the second degree of infection. And estimate
The second estimating unit is configured to perform a process based on at least one of the first time period and data related to the type of infectious disease, data related to the first degree of infection, and data related to the second degree of infection. Estimating the second time slot or the medical treatment start time,
The information processing device according to claim 1.
 前記第1の患者は、前記医師による診療の予約なしの患者であり、
 第1の推定部は、前記医師による前記予約なしの患者の診療のための前記第1の時間帯を推定する、
 請求項1に記載の情報処理装置。
The first patient is a patient without a medical appointment by the doctor;
A first estimating unit that estimates the first time period for medical treatment of the patient without the appointment by the doctor;
The information processing device according to claim 1.
 前記第2の患者へ前記第2の時間帯または前記診療開始時刻を提示する情報を出力する出力部をさらに備える請求項1に記載の情報処理装置。 The information processing apparatus according to claim 1, further comprising: an output unit configured to output information for presenting the second time slot or the medical treatment start time to the second patient.  前記第2の患者の予約日時の変更を支援する情報を出力する出力部をさらに備える請求項1に記載の情報処理装置。 The information processing apparatus according to claim 1, further comprising: an output unit configured to output information for supporting a change of a reservation date and time of the second patient.  前記症状に関するデータに基づいて、前記第2の患者へ来院の注意を与える情報を出力する出力部をさらに備える、請求項2または3に記載の情報処理装置。 4. The information processing apparatus according to claim 2, further comprising: an output unit configured to output information for giving attention to the second patient to visit based on the data regarding the symptom. 5.  情報処理装置が実行する情報処理方法であって、
 第1の患者の症状に関するデータを取得する取得過程と、
 前記症状に関するデータに基づいて、医師による前記第1の患者の診療のための第1の時間帯を推定する第1の推定過程と、
 前記第1の時間帯に基づいて、前記医師による診療を予約している第2の患者の診療を許容する前記第1の時間帯以後の第2の時間帯または診療開始時刻を推定する第2の推定過程と、
 を備える情報処理方法。
An information processing method executed by an information processing apparatus,
An acquisition process of acquiring data on a condition of the first patient;
A first estimating step of estimating a first time period for medical treatment of the first patient by a doctor based on the data on the symptoms;
A second time zone for estimating a second time zone or a medical treatment start time after the first time zone in which medical treatment of a second patient who has reserved medical treatment by the doctor is allowed based on the first time period; Estimation process, and
An information processing method comprising:
 請求項1から7のうちの何れか1項に記載の情報処理装置が備える各部の処理をコンピュータに実行させる情報処理のためのプログラム。 A non-transitory computer-readable storage medium storing a program for causing a computer to execute a process of each unit included in the information processing apparatus according to any one of claims 1 to 7.
PCT/JP2019/029857 2018-09-25 2019-07-30 Information processing device, information processing method, and program for information processing Ceased WO2020066277A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2018-179026 2018-09-25
JP2018179026A JP2020052534A (en) 2018-09-25 2018-09-25 Information processing apparatus, information processing method, and program for information processing

Publications (1)

Publication Number Publication Date
WO2020066277A1 true WO2020066277A1 (en) 2020-04-02

Family

ID=69950577

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2019/029857 Ceased WO2020066277A1 (en) 2018-09-25 2019-07-30 Information processing device, information processing method, and program for information processing

Country Status (2)

Country Link
JP (1) JP2020052534A (en)
WO (1) WO2020066277A1 (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002351979A (en) * 2001-05-30 2002-12-06 Toshiba Corp Reservation system
JP2003085277A (en) * 2001-09-13 2003-03-20 Olympus Optical Co Ltd Examination reservation system
JP2003331058A (en) * 2002-05-15 2003-11-21 Sanyo Electric Co Ltd Device and system for managing reservation
JP2004030298A (en) * 2002-06-26 2004-01-29 Fujitsu Ltd Medical treatment reservation processing device and medical treatment reservation processing program
JP2005258994A (en) * 2004-03-15 2005-09-22 Ytb:Kk Patient in-hospital calling system and medical examination sequence determination method by computer
JP2009245223A (en) * 2008-03-31 2009-10-22 Fujitsu Ltd Appointment management device, appointment management method and computer program
US8271295B1 (en) * 2008-07-23 2012-09-18 Sprint Communications Company L.P. Health clinic broker

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002351979A (en) * 2001-05-30 2002-12-06 Toshiba Corp Reservation system
JP2003085277A (en) * 2001-09-13 2003-03-20 Olympus Optical Co Ltd Examination reservation system
JP2003331058A (en) * 2002-05-15 2003-11-21 Sanyo Electric Co Ltd Device and system for managing reservation
JP2004030298A (en) * 2002-06-26 2004-01-29 Fujitsu Ltd Medical treatment reservation processing device and medical treatment reservation processing program
JP2005258994A (en) * 2004-03-15 2005-09-22 Ytb:Kk Patient in-hospital calling system and medical examination sequence determination method by computer
JP2009245223A (en) * 2008-03-31 2009-10-22 Fujitsu Ltd Appointment management device, appointment management method and computer program
US8271295B1 (en) * 2008-07-23 2012-09-18 Sprint Communications Company L.P. Health clinic broker

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
OSONO, EIICHI: "Characteristics and prevention of infectious disease, and treatment management", JOURNAL OF CLINICAL AND EXPERIMENTAL MEDICINE, vol. 227, no. 6, 8 November 2008 (2008-11-08), pages 451 - 455, ISSN: 0039-2359 *

Also Published As

Publication number Publication date
JP2020052534A (en) 2020-04-02

Similar Documents

Publication Publication Date Title
US8380542B2 (en) System and method for facilitating outcome-based health care
Bucheli et al. Reduced length of stay in medical emergency department patients: a prospective controlled study on emergency physician staffing
US20190006033A1 (en) Generating a Patient Care Plan
JP2008293294A (en) Medical information processing system, information processing method, and computer program
JP2009086767A (en) Medical network system and medical care request management apparatus and method
JP2009086766A (en) Medical network system and medical care request management apparatus and method
US20140297320A1 (en) Systems and methods for operating a personal healthcare management portal
JP5435882B2 (en) Business cooperation support apparatus and method, department system, and medical network system
WO2019150608A1 (en) Assistance system, assistance method, assistance progragm, and recording medium on which assistance program is recorded
Verhoef et al. Non-specialist palliative care-question prompt list preparation: patient, family and clinician experiences
JP2022034831A (en) Information processing device, information processing system and program
JP6491884B2 (en) Waiting time reduction system, waiting time reduction method, and waiting time reduction program
CN115936263A (en) Intelligent appointment registration and diagnosis optimization method, electronic equipment and storage medium
WO2020066277A1 (en) Information processing device, information processing method, and program for information processing
JP2009087098A (en) Reservation management apparatus, reservation management method and program
JP2014186669A (en) Information processor, reservation system, reservation method, and program
JP5477433B2 (en) Information processing apparatus and program
JP7586574B2 (en) Facility presentation device, facility presentation method, and recording medium
WO2020066278A1 (en) Information processing device, information processing method, and program for processing information
CN115512805A (en) VTE prevention scheme determination method, device, equipment and storage medium
JP7754208B2 (en) Information processing device, information processing method, and program
CN114121242A (en) Consultation service method, system and computer storage medium
WO2012054925A2 (en) System and method for facilitating outcome-based health care
KR101634781B1 (en) Automatical Reservation Method of Medical Services within Hospital through clinical pathway analysis
JP2008250451A (en) Medical appointment management system, medical appointment management method, and medical appointment management program

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19867218

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19867218

Country of ref document: EP

Kind code of ref document: A1