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WO2020071540A1 - Matching assistance device, matching assistance method, and storage medium - Google Patents

Matching assistance device, matching assistance method, and storage medium

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Publication number
WO2020071540A1
WO2020071540A1 PCT/JP2019/039300 JP2019039300W WO2020071540A1 WO 2020071540 A1 WO2020071540 A1 WO 2020071540A1 JP 2019039300 W JP2019039300 W JP 2019039300W WO 2020071540 A1 WO2020071540 A1 WO 2020071540A1
Authority
WO
WIPO (PCT)
Prior art keywords
receiving
patient
facility
degree
recovery
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/JP2019/039300
Other languages
French (fr)
Japanese (ja)
Inventor
昌洋 林谷
英二 湯本
正武 高居
久保　雅洋
利憲 細井
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.)
NEC Corp
Original Assignee
NEC Corp
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 NEC Corp filed Critical NEC Corp
Priority to JP2020551114A priority Critical patent/JP7124879B2/en
Publication of WO2020071540A1 publication Critical patent/WO2020071540A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT 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

Definitions

  • the present invention relates to a matching support device, a matching support method, and a storage medium.
  • the person in charge of the hospital or other facility, the patient admitted to the facility, or the patient's family depends on the degree of recovery of the condition of the patient admitted or admitted to the facility such as the hospital, or the necessity of nursing, etc.
  • the hospital may look for a destination facility after discharge.
  • a receiving facility for receiving a patient after the patient leaves the acute hospital a convalescent hospital, a nursing home, a nursing home, and the like exist.
  • the person in charge of the facility such as a hospital, the patient who is hospitalized or in the facility, and the patient's family search for the receiving facility that meets the receiving conditions of the facility from the receiving facilities. .
  • a related technique is disclosed in Patent Document 1.
  • Patent Literature 1 a candidate for an empty bed is searched based on the contents of hospitalization of a patient, a bed is allocated in a first hospitalization period of a patient, and a bed in a next hospitalization period is set as the last day of the first hospitalization period as a first day. And a technique for performing the assignment.
  • the search for the receiving facility may take time. Delays in deciding the host facility may not lead to early discharge of the patient. In other words, there is a need for a technology capable of supporting the determination of a receiving facility for a patient or the like from an earlier stage.
  • An example of the object of the present invention is to provide a matching support device, a matching support method, and a storage medium that solve the above-described problems.
  • the matching support device includes a recovery degree prediction unit that predicts a recovery degree of the patient, and the plurality of the plurality of reception facilities based on the recovery degree and the reception conditions of each of the plurality of receiving facilities.
  • a candidate specifying unit that specifies candidates for a receiving facility that can receive the patient at a predetermined time from the receiving facility.
  • the matching support method predicts the degree of recovery of the patient, based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, Identifying candidate receiving facilities that can accept the patient at a predetermined time.
  • a storage medium predicts a degree of recovery of a patient by a computer and, based on the degree of recovery and receiving conditions of each of the plurality of receiving facilities, stores the plurality of receiving facilities. From the above, a program for executing a process of specifying a candidate of a receiving facility that can receive the patient at a predetermined time is stored.
  • FIG. 1 is a hardware configuration diagram of a matching support device according to an embodiment of the present invention. It is a functional block diagram of a matching support device by one embodiment of the present invention. It is a figure showing the processing flow of the matching support device by one embodiment of the present invention. It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention. It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention.
  • FIG. 4 is a diagram illustrating an acceptance condition according to an embodiment of the present invention.
  • FIG. 11 is a diagram illustrating a configuration of a matching support device according to another embodiment of the present invention.
  • FIG. 1 is a diagram showing an outline of a matching support system 100 having a matching support device according to the present embodiment.
  • the matching support system 100 according to the present embodiment is used when a patient admitted (or admitted) to a facility such as an acute care hospital is discharged (or discharged) and admitted to another facility (or admitted).
  • This is a system for supporting the determination of potential facilities.
  • the term "matching" indicates that when a patient who is hospitalized (or admitted) to a facility is discharged (or discharged) and is hospitalized (or admitted) to another facility, a facility that can be a receiving destination is determined. .
  • the matching support device 1 is communicatively connected to a server, a terminal, or the like provided at each facility that can be a reception destination for receiving a patient (hereinafter, referred to as a reception destination facility).
  • the receiving facilities are an acute care hospital A, a convalescent care hospital B, a nursing care facility C, a small-scale multifunctional facility D, a nursing home E, and the like. Even if it is a facility different from these facilities, it can be a receiving facility if it is a facility that receives a patient who has been discharged (leaved) from each of these facilities.
  • the convalescent hospital when a patient admitted to an acute care hospital is discharged and the convalescent hospital accepts the patient, the convalescent hospital is the receiving facility.
  • a patient may be discharged from an acute care hospital and another acute care hospital may accept the patient.
  • the elderly patient moves from the first nursing home to the second nursing home, the second nursing home becomes the receiving facility.
  • FIG. 2 is a diagram showing a configuration of the matching support system.
  • the matching support device 1 includes a terminal 2 and a server 3 installed in facilities such as an acute care hospital A, a convalescent care hospital B, a nursing home C, a small multifunctional facility D, and a nursing home E. Is connected for communication.
  • FIG. 2 shows that the matching support device 1 is communicatively connected to both the terminal 2 and the server 3 of each facility, but in any one of the facilities, one of the terminal 2 and the server 3 is provided. May be connected for communication.
  • the matching support system may be realized as a cloud computing system.
  • FIG. 3 is a hardware configuration diagram of the matching support apparatus.
  • the matching support device 1 is a computer including hardware such as a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a database 104, a communication module 105, and the like. It is.
  • the terminal 2 and the server 3 may be computers having the same configuration.
  • FIG. 4 is a functional block diagram of the matching support device.
  • the matching support apparatus 1 executes a matching support program stored in advance.
  • the matching support apparatus 1 is provided with the functions of a control unit 11, an acquisition unit 12, a recovery degree prediction unit 14, a candidate identification unit 15, a facility determination unit 16, an acceptance condition output unit 17, and an acceptance destination identification unit 18. .
  • the control unit 11 controls each function of the matching support device 1.
  • the acquisition unit 12 acquires various types of information necessary for processing.
  • the various types of information necessary for the processing include information necessary for predicting the degree of recovery of the patient and information regarding the receiving facility. Further, the various information necessary for the processing may include other information necessary for each element of the matching support device 1.
  • the acquisition unit 12 acquires, as a more specific example, chart information of a patient and list information of facilities according to the degree of recovery of the patient's discharge date (scheduled discharge date).
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient based on past nursing histories of a patient group including a plurality of other patients having attributes corresponding to the attribute of the patient.
  • the patient's degree of recovery indicates the degree of recovery of the patient's condition.
  • the degree of recovery of the patient may be indicated as a range of the degree of recovery.
  • the candidate specifying unit 15 specifies a candidate for a receiving facility that can accept a patient after discharge at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility.
  • the predetermined time is a time when the patient is discharged from the hospital or facility where the patient is currently hospitalized and is expected to be transferred to the receiving place (that is, a patient who is hospitalized or admitted to the facility is discharged or discharged and accepted). It is time to be hospitalized or admitted to the destination facility).
  • discharge expected time The expected discharge time may be indicated on a specific day, or may be indicated for a period in an appropriately determined range.
  • the expected discharge time may be determined based on, for example, the average number of hospital days in the hospital and other conditions. The average hospital stay in a hospital may be determined for each diagnosis of a patient.
  • the facility determination unit 16 determines whether the candidate for the receiving facility is a receiving facility whose receiving conditions can be changed.
  • the accepting condition output unit 17 determines whether the accepting facility candidate is an accepting facility whose accepting condition can be changed. When determining that the candidate for the receiving facility is a receiving facility that can change the receiving condition, the receiving condition output unit 17 responds to the receiving determination index of the receiving facility on the patient's discharge date (scheduled discharge date). Outputs the acceptance condition for which acceptance has been changed.
  • the receiving destination specifying unit 18 specifies the receiving destination of the patient from the receiving facility candidates based on the attribute information indicating the receiving facility candidates. The receiving destination specifying unit 18 may further specify the receiving destination of the patient from the receiving destination candidates based on the desired information indicating the condition of the attribute information indicated by the receiving facility candidate specified by the patient.
  • the matching support apparatus 1 provides a technology that enables each of the above-described components to support the determination of a receiving facility for a patient or the like at an earlier stage by executing the following processing.
  • the matching support device 1 performs the following processing by each of the above-described components, thereby responding to fluctuations in the reception conditions at the reception destination facility, the degree of recovery on the patient's discharge date (scheduled discharge date), and the range thereof. Assist in finding the right hosting facility.
  • FIG. 5 is a diagram illustrating a processing flow of the matching support apparatus.
  • a person in charge such as a nurse at the facility where the patient is hospitalized, instructs the terminal 2 and the server 3 to output a matching request.
  • the output instruction of the matching request is performed, for example, on the day after the patient is admitted, assuming that the patient will be discharged after a certain period of time and will be admitted or admitted to the receiving facility. However, the output instruction of the matching request may be performed at a time after the day after the hospitalization.
  • the terminal 2 or the server 3 transmits a matching request to the matching support device 1 based on the operation of the person in charge.
  • the matching support apparatus 1 receives a matching request from the terminal 2 or the server 3 of any facility (Step S101).
  • the matching request includes the patient's medical record information indicating the ID of the facility that made the request, the ID of the patient, and physical attributes such as the patient's age, weight, and gender.
  • the medical record information further includes a history of treatment and care for the patient.
  • the treatment / care history includes a disease type that identifies the patient's disease, a nursing type that identifies the type of treatment and care required for the patient based on the patient's condition including the disease, etc., for each day of the hospital stay,
  • the state of the doctor's operation based on the disease, the type of the disease that occurred concurrently with the hospitalization period and its concurrent date, the body temperature of each day during the hospitalization period of the patient, the state information such as the number of urination and defecation, etc. are included. For example, information other than these may be included.
  • the control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the recovery degree prediction unit 14 and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14.
  • the recovery degree prediction unit 14 reads the recovery degree prediction model corresponding to the facility ID, the disease type of the patient, and the physical attributes of the patient from the database 104 (step S102).
  • the recovery degree prediction model outputs the recovery degree of the patient at the expected discharge time based on the patient's chart information and the input of the expected discharge time.
  • the recovery degree prediction model is based on the medical record information obtained from the facility server 3 of the facility with the facility ID included in the matching request, and uses a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes in each of the facilities.
  • the recovery degree is output as a numerical value such as a categorical variable or a FIM (Functional Independence Measure) score in which the degree of recovery is divided into several stages.
  • a mixture distribution model or a support vector machine is used, but not limited thereto.
  • the recovery degree prediction model may be generated by the matching support device 1. Alternatively, the recovery degree prediction model may be generated by another machine learning device and stored in advance in, for example, the database 104 of the matching support device 1.
  • the recovery degree prediction unit 14 inputs the patient's medical record information included in the matching request and the designation of the expected discharge time to the recovery degree prediction model, and predicts the recovery degree of the patient on the designated day using the recovery degree prediction model. (Step S103).
  • the degree of recovery may not be constant depending on the condition of the patient and other factors. Therefore, the degree of recovery may indicate the range (blur) of the degree of recovery at the expected discharge time. If the estimated discharge time is indicated by a period, the range of the degree of recovery may change within the period. As an example of this case, the recovery degree prediction unit 14 sets the largest value of the recovery degree indicated by the range of the recovery degree at the expected discharge time as the recovery degree at the expected discharge time.
  • the recovery degree predicting unit 14 may predict the recovery degree of the patient at the specified expected discharge time, or may predict the change in the recovery degree of the patient from the prediction time to the predicted discharge time in time series. Is also good. After predicting the recovery degree of the patient, the recovery degree prediction unit 14 outputs to the control unit 11 the completion of calculation of the recovery degree and the range of the recovery degree. In response, the control unit 11 outputs to the candidate specifying unit 15 the specified date or period, the degree of recovery or the range of the degree of recovery, and an instruction to start the candidate specifying process.
  • the ⁇ recovery degree indicates, for example, a degree of daily activity (ADL: Activities of Daily Living) of the patient.
  • Reception facilities vary depending on the degree of recovery. For example, if the degree of recovery is low, it is necessary to search for a facility for receiving patients with a lower degree of recovery, such as a nursing home. When the degree of recovery is high, it is necessary to search for a facility for receiving a patient with a higher degree of recovery, such as a recovery facility.
  • FIGS. 6A and 6B are diagrams conceptually showing the degree of recovery over time. 6A and 6B, the horizontal axis represents the passage of time, and the vertical axis represents the degree of patient recovery.
  • the degree of recovery of the patient is represented by the ADL described above as an example. 6A and 6B, the solid line indicates the state of change of the recovery degree predicted by the recovery degree prediction unit 14, and the dotted line indicates the upper or lower limit of the range of the recovery degree predicted by the recovery degree prediction unit 14. The state of change is shown. Further, FIGS. 6A and 6B show that, based on the degree of recovery, the facility category that is a candidate for the receiving facility classified according to the degree of recovery is specified.
  • the facility category is a recuperation facility (described as “recuperation” in FIGS. 6A and 6B), a normal facility (described as “facility” in FIGS. 6A and 6B), a rehabilitation facility or a rehabilitation hospital (“rehabilitation hospital in FIGS. 6A and 6B”). )), But may be a different category.
  • the category of recuperation facilities includes recuperation hospitals and hospice.
  • the category of the normal facility is a normal facility to be accepted and includes nursing homes and nursing homes.
  • the category of rehabilitation facilities includes convalescent hospitals and small-scale multifunctional nursing care facilities.
  • FIG. 6A shows an example where the range of the degree of recovery is large.
  • a rehabilitation facility, a rehabilitation hospital, or a normal facility may be a candidate for a receiving facility in the candidate specifying unit 15 described later.
  • FIG. 6B shows an example where the range of the degree of recovery on the discharge date (expected discharge date) is small.
  • a rehabilitation facility or a rehabilitation hospital may be a candidate for the receiving facility in the candidate specifying unit 15 described later.
  • the recovery degree prediction unit 14 predicts the degree of recovery of the patient, so that it is possible to select the receiving facility according to the degree of recovery of the patient and its range.
  • the recovery degree prediction unit 14 determines whether the range of the recovery degree on the calculated discharge date (scheduled discharge date) is large or not, and when the recovery degree range is equal to or larger than the predetermined threshold, the receiving facility It may be determined that the processing after the candidate identification processing is stopped.
  • the candidate specifying unit 15 receives an instruction from the control unit 11 to start the candidate specifying process. In response to this, the candidate specifying unit 15 starts a process of specifying a candidate for a facility for receiving the patient indicated by the patient ID. Specifically, the candidate specifying unit 15 records each facility recorded in the database 104 in association with the recovery degree acquired from the recovery degree prediction unit 14 and one or more facility categories specified by the range of the recovery degree. Is specified as a candidate for the receiving destination (step S104). It should be noted that the number of facilities specified as the accepting destination candidates is one if the facility is recorded in the database 104 in association with one or a plurality of facility categories specified by the degree of recovery or the range of the degree of recovery. There may be more than one. That is, the matching support apparatus 1 enables selection of a receiving facility from a plurality of hospitals and facilities according to the degree of recovery of the patient.
  • the candidate specifying unit 15 obtains the reception condition recorded in the database 104 in association with the ID of the facility specified as the reception destination candidate and the current degree of the reception determination index (step S105).
  • the acceptance condition may be information recorded in the database 104 by the matching support apparatus 1 after inquiring the acceptance condition of each day from a person in charge of each facility.
  • the reception conditions are information in which the person in charge of each facility transmits the reception conditions to the matching support apparatus 1 using the terminal 2 and the control unit 11 of the matching support apparatus 1 records the reception conditions in the database 104 for each facility. It may be.
  • the acceptance condition is, more specifically, information indicating whether or not the patient can be accepted at the receiving facility according to the degree of the acceptance judgment index of the patient at the receiving facility on each day.
  • the acceptance determination index is, for example, the vacancy rate of each receiving facility.
  • the degree of the acceptance determination index is the magnitude of the vacancy rate.
  • the acceptance condition indicates whether or not the patient can be accepted according to the vacancy rate of the receiving facility.
  • the acceptance conditions are determined according to the vacancy rate, for example, whether the facility has a low vacancy rate, if the vacancy rate is medium, if the vacancy rate is medium, and if the vacancy rate is high, the facility is acceptable. Shown in multiple stages. In this example, the acceptability is described in three stages, but the number of stages may be determined according to the facility.
  • the acceptance condition may be set for each patient nursing type.
  • the acceptance condition may further include an acceptance change enable / disable flag indicating whether the acceptability according to the degree of the acceptance determination index can be changed.
  • the acceptance change availability flag indicates “impossible”
  • the facility is determined to be a facility that does not change the acceptance status of the patient according to the degree of the acceptance determination index.
  • Such a facility is, for example, a facility that does not change the acceptability of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate.
  • the acceptance change availability flag indicates “allowed” (not “impossible”), the facility is determined to be a facility that can change the acceptance status of a patient according to the degree of the acceptance determination index.
  • Such a facility is, for example, a facility that changes the acceptance or non-acceptance of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate. In other words, such facilities do not accept patients belonging to nursing types requiring special treatment or care when the vacancy rate is low, but may accept these patients when the vacancy rate is high.
  • the acceptance determination index of the receiving facility may be information other than the vacancy rate, such as the number of staff members, the available business hours of the staff members, and the ratio of severely ill patients among hospitalized patients. In the following description, it is assumed that the acceptance condition includes an acceptance changeability flag.
  • FIG. 7 is a diagram showing the acceptance conditions.
  • the acceptance condition is information indicating whether or not acceptance is possible according to the vacancy rate (ratio (%)) in a certain facility (facility A in FIG. 7).
  • “ ⁇ ” indicates acceptability.
  • “ ⁇ ” indicates rejection (impossible).
  • FIG. 7 further shows acceptance conditions including acceptance availability according to the vacancy rate for each nursing type.
  • the column described as nasal nutrition indicates the acceptability of patients requiring nasal nutrition according to the vacancy rate.
  • the column labeled tracheostomy indicates the acceptance of patients undergoing tracheostomy according to the vacancy rate.
  • the column described as infectious disease indicates the acceptability of patients suffering from infectious disease according to the vacancy rate.
  • the column described as artificial respiration indicates the acceptability of patients who need to wear artificial respirators according to the vacancy rate.
  • the candidate specifying unit 15 includes a facility ID indicating one or a plurality of reception destination candidates identified based on the degree of recovery of the patient and a range of the degree, and a list of the one or more reception destination candidates.
  • the combination of the information indicating the acceptance condition and the current degree of the acceptance judgment index is output to the facility judgment unit 16 and the acceptance condition output unit 17.
  • the facility determination unit 16 acquires the reception condition of each facility that is one or a plurality of reception destination candidates, and determines whether or not the reception change permission / prohibition flag indicates the impossibility (step S106).
  • the facility determination unit 16 generates a determination result indicating whether or not the acceptance change availability flag indicates “impossible” for each facility ID, and outputs the determination result to the acceptance condition output unit 17.
  • the accepting condition output unit 17 specifies the facility ID for which the accepting change permission / inhibition flag by the facility determining unit 16 has become a determination result indicating impossibility. If the acceptance change availability flag for a certain facility indicates that the facility is unacceptable, the facility is a facility that does not change the acceptance availability according to the degree of the acceptance determination index. Therefore, the receiving condition output unit 17 determines that the information on the receiving condition of the facility is output immediately. In this case, the acceptance condition output unit 17 acquires the facility attribute information (facility name, address, telephone number, etc.) from the database 104 based on the facility ID for which the acceptance change availability flag indicates a disapproval.
  • the acceptance condition output unit 17 outputs the facility ID, the facility attribute information, and the current acceptance decision index of the facility (the size of the vacancy rate) for the facility that does not change the acceptability information according to the acceptance decision index. (Numerical value) is generated (step S107).
  • the accepting condition output unit 17 transmits the patient ID, the generated first accepting candidate list, and information indicating the accepting condition of each accepting candidate to the terminal 2 or the server 3 that has output the matching request (step S108). ).
  • the terminal 2 and the server 3 output the first candidate list of receiving destinations and the receiving conditions of each receiving destination candidate to a predetermined monitor or other output means as appropriate according to the request of the person in charge.
  • the staff such as a nurse, the patient himself, and the patient's family can change the facility ID, facility attribute information (facility name, address, telephone Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (the size of the vacancy rate (numerical value), etc.), and the acceptance conditions of each destination candidate can be viewed.
  • This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index. For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.
  • the facility is a facility that may change the acceptance according to the degree of the acceptance determination index.
  • a facility is, for example, a facility in which the acceptability of a patient belonging to a nursing type requiring special treatment or care may be changed depending on the vacancy rate.
  • the acceptance condition output unit 17 outputs information indicating the acceptance condition in which the acceptance condition of the facility has been changed in accordance with the degree of the current acceptance determination index in the facility of the accepting destination candidate. It is determined to generate and output.
  • the acceptance condition output unit 17 selects one facility from one or a plurality of facilities whose acceptance change availability flag indicates yes, and determines whether the current acceptance determination index of the facility is equal to or greater than the first threshold.
  • the first threshold value is set when the acceptance of the selected facility is under the most relaxed condition (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is maximized). This is a threshold for determining whether or not there is.
  • the acceptance condition output unit 17 determines whether or not the acceptance according to the degree of the acceptance determination index included in the acceptance condition of the facility is a maximum. The limit is changed from unacceptable to acceptable (step S110).
  • the acceptance condition output unit 17 outputs, for example, a vacancy rate of 30%.
  • acceptability information ( ⁇ or ⁇ )
  • all information that is not acceptable is changed to acceptability ( ⁇ ).
  • the acceptance condition output unit 17 determines whether the degree of the current acceptance determination index of the selected facility is equal to or greater than the second threshold value smaller than the first threshold value and less than the first threshold value (step S111).
  • the second threshold value is set when the acceptance of the selected facility is partially relaxed (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is partially disabled) ). If the degree of the current acceptance judgment index of the selected facility is equal to or greater than the second threshold and less than the first threshold, the acceptance condition output unit 17 responds to the degree of the acceptance judgment index included in the acceptance condition of the facility. Of the acceptability, the acceptability of a predetermined nursing type is changed from unacceptable to acceptable (step S112).
  • the acceptance condition output unit 17 Nasal nutrition and tracheostomy are acceptable among the information that is not acceptable among the information ( ⁇ or ⁇ ) of the acceptability of the item of artificial respiration when the vacancy rate is 15%. ).
  • the acceptance condition output unit 17 determines the degree of the current acceptance judgment index of a facility (a facility whose acceptance change enable / disable flag indicates “acceptable”) in which the information of acceptance is changeable according to the degree of the acceptance judgment index, and changes the acceptance condition. It is determined that has been completed. Then, the acceptance condition output unit 17 outputs the facility attribute information (facility name, address) associated with each facility ID from the database 104, based on each facility ID of the facility whose acceptance information can be changed according to the degree of the acceptance determination index. , Phone numbers, etc.).
  • the acceptance condition output unit 17 outputs a facility ID, facility attribute information, and a current acceptance decision index of the facility (the size of the vacancy rate) for a facility in which the information on acceptability according to the degree of the acceptance decision index can be changed. (Numerical value) is generated (step S113).
  • the receiving condition output unit 17 outputs the patient ID, the generated second list of receiving destination candidates, and information indicating the changed or unchanged receiving conditions of each receiving destination candidate to the terminal 2 or the server that has output the matching request. 3 (step S114).
  • the terminal 2 or the server 3 transmits the second reception destination candidate list and the information indicating the changed or unchanged reception conditions of each reception destination candidate to a predetermined monitor or other output as appropriate according to the request of the person in charge. Output to the means.
  • the accepting condition output unit 17 transmits the generated second accepting candidate list and the information indicating the changed or unmodified accepting condition to the terminal 2 or the server 3 that has output the matching request.
  • the terminal 2 or the server 3 outputs the second candidate list of receiving destinations and the changed or unchanged receiving conditions to a predetermined monitor or other output means as needed in response to a request from a person in charge.
  • the person in charge such as a nurse, the patient himself, and the patient's family can change the information on the acceptability according to the degree of the acceptability determination index by using the facility ID, the facility attribute information (facility name, address, telephone number). Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (such as the size of the vacancy rate (numerical value)), and the changed or unchanged acceptance conditions for each destination candidate And can be viewed.
  • This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index.
  • the degree of the acceptance determination index For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.
  • the accepting condition output unit 17 may generate an accepting candidate list obtained by combining the first accepting candidate list and the second accepting candidate list, and transmit the matching candidate list to the terminal 2 or the server 3 that outputs the matching request. Good.
  • the person in charge such as a nurse, the patient himself, and the patient's family, enter the desired acceptance list in the first candidate list, the second candidate list, and the combined candidate list output from the monitor.
  • a candidate can be selected.
  • the terminal 2 or the server 3 outputs a specific request including the facility ID and the patient ID of the selected destination candidate to the matching support apparatus 1.
  • the receiving destination specifying unit 18 of the matching support device 1 acquires the specifying request.
  • the receiving destination specifying unit 18 specifies, as a receiving destination of the patient having the patient ID included in the specifying request, the facility having the facility ID included in the specifying request. Based on the facility ID and the patient ID included in the specification request, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving candidate facility indicated by the facility ID. Generate desired information.
  • the receiving destination specifying unit 18 transmits the desired receiving information to the terminal 2 or the server 3 of the facility indicated by the facility ID. As a result, the desired reception information is transmitted to the facilities desired by the patient or the like among the facilities of the candidate reception destinations.
  • the matching support apparatus 1 may automatically specify one facility from among the facilities of the candidate destinations.
  • the receiving destination specifying unit 18 may arbitrarily select one of the receiving destination candidates and specify one of the candidates as the receiving destination of the patient.
  • the receiving destination specifying unit 18 determines the receiving destination facility based on the attribute information indicating the receiving destination candidate and the desired information indicating the condition of the attribute information indicating the receiving destination candidate specified by the patient. May be specified from among the candidates. More specifically, the matching support device 1 acquires desired information from the terminal 2 or the server 3.
  • the desired information includes, as attributes for specifying candidates for the receiving facility, information such as the area where the desired facility such as a patient is located, the cost of using the facility, and the date of construction of the facility.
  • the receiving destination specifying unit 18 specifies a facility where the information included in the desired information and the attribute information of the candidate receiving facility are the same. Then, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving destination candidate facility indicated by the facility ID, based on the facility ID and the patient ID included in the specifying request. Acceptance desired information may be generated.
  • the matching support device 1 can support the determination of the receiving facility such as the patient at an earlier stage by specifying the candidate of the receiving facility according to the recovery degree of the patient predicted by the recovery degree predicting unit 14.
  • the candidate specifying unit 15 specifies the receiving facility in accordance with the range of the degree of recovery of the patient, it is easy to determine an appropriate receiving facility in accordance with the degree of recovery of the patient. Further, by changing the acceptability condition according to the degree of the acceptability determination index, the accepting facility can be determined according to the situation of the accepting facility.
  • FIG. 8 is a functional block diagram of a matching support device according to a modification of the embodiment.
  • the matching support device 1 according to the modified example is different from the above-described matching support device 1 in that a discharge time prediction unit 13 is further provided.
  • the discharge time prediction unit 13 predicts the discharge time of a patient based on the past nursing history of a patient group corresponding to the attribute of the patient.
  • the discharge time prediction unit 13 may predict a certain day as a patient discharge time (discharge date), or may predict a discharge time of any length.
  • the control unit 11 of the matching support apparatus 1 When the discharge time prediction unit 13 is provided, the control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the discharge time prediction unit 13 and outputs a discharge time prediction instruction to the discharge time prediction unit 13. I do.
  • the discharge time prediction unit 13 reads the facility ID, the disease type of the patient, and the discharge time prediction model from the database 104.
  • the discharge time prediction model is generated in advance by using a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes based on the patient's medical record information including information on the patient's discharge time.
  • the discharge time prediction model outputs a discharge time based on the current date and time based on the input of the patient's chart information.
  • the discharge time may be indicated by a specific one day, or may be indicated by a period in an appropriately determined range.
  • the discharge time prediction model may be generated by the matching support device 1. Alternatively, the discharge time prediction model may be generated by another machine learning device and stored in the database 104 of the matching support device 1 in advance, for example.
  • the discharge time prediction unit 13 inputs the patient's chart information included in the matching request to the discharge time prediction model, and predicts the discharge time using the discharge time prediction model.
  • the discharge time may indicate a specific date or a specific period.
  • the discharge time prediction unit 13 outputs to the control unit 11 the calculation completion of the discharge date (scheduled discharge date).
  • the control unit 11 outputs each information included in the matching request and the discharge date (scheduled discharge date) to the recovery degree prediction unit 14, and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14.
  • each element including the recovery degree prediction unit 14 performs the above-described processing on the assumption that the patient will be transferred to the receiving facility on the discharge date (discharge scheduled date) or period predicted by the discharge time prediction unit 13.
  • FIG. 9 is a diagram showing acceptance conditions for each nursing type of a patient in a rehabilitation hospital one week after the request for matching is made.
  • the acceptance condition is indicated by the presence or absence of an empty floor. That is, the AA hospital, the BB hospital, and the CC hospital have vacant floors, so acceptance is possible ( ⁇ ), and the DD hospital is fully occupied, so acceptance is not acceptable (x).
  • the AA hospital and the BB hospital can accept or not accept patients suffering from infectious diseases, and the CC hospital can accept or not accept patients who suffer from infectious diseases. It is assumed that the acceptance change availability flag is negative.
  • the receiving condition output unit 17 outputs the AA hospital or the BB hospital as the receiving destination candidate.
  • the patient desires a hospital near his / her home as desired information.
  • the AA hospital is located at a distance of 3 km from the patient's home
  • the BB hospital is located at a distance of 10 km from the patient's home.
  • the receiving destination specifying unit 18 specifies to transfer to the AA hospital one week later as the receiving destination of the patient. As described above, by using the matching support device, it is possible to determine the destination facility for receiving a patient or the like earlier than the scheduled discharge date of the patient.
  • FIG. 10 is a diagram illustrating a configuration of the matching support apparatus.
  • the matching support device 1 includes at least a recovery degree prediction unit 14 and a candidate identification unit 15.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient.
  • the recovery degree prediction unit 14 also predicts the range of the recovery degree based on the past nursing history of the patient group corresponding to the attributes of the patient.
  • the candidate specifying unit 15 specifies candidates for a receiving facility that can receive a patient at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility.
  • the recovery degree prediction unit 14 predicts the recovery degree of the patient
  • the candidate specifying unit 15 specifies the candidate of the receiving facility based on the predicted recovery degree, so that it is at an earlier stage. It is possible to support the determination of the receiving facility for patients and the like.
  • the above-mentioned matching support device 1 has a computer system inside.
  • the processes of the above-described processes are stored in a computer-readable recording medium in the form of a program, and the above-described processes are performed by reading and executing the program by the computer.
  • the program may be for realizing a part of the functions described above. Furthermore, what can implement
  • the present invention may be applied to a matching support device, a matching support method, and a storage medium.

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Abstract

A matching assistance device according to the present invention comprises: a recovery level prediction unit that predicts the level of recovery of a patient; and a candidate identification unit that, on the basis of the level of recovery and the admittance conditions of each of a plurality of admitting facilities, identifies from among the plurality of admitting facilities an admitting facility candidate which is able to admit the patient at a prescribed time.

Description

マッチング支援装置、マッチング支援方法、記憶媒体Matching support device, matching support method, storage medium

　本発明は、マッチング支援装置、マッチング支援方法、記憶媒体に関する。 The present invention relates to a matching support device, a matching support method, and a storage medium.

　病院等の施設の担当者や、施設に入院する患者自身、患者の家族は、病院等の施設に入院又は入所している患者の病状の回復の程度や、または看護の必要性等に応じて、退院後の受け入れ先施設を探す場合がある。例えば患者が急性期病院を退院した後に、その患者を受け入れる受け入れ先施設として、回復期病院、介護施設、老人ホームなどが存在する。病院等の施設の担当者や、当該施設に入院又は入所している患者自身、患者の家族は、それらの受け入れ先施設の中から、施設側の受け入れ条件等にあった受け入れ先施設を検索する。関連する技術が特許文献１に開示されている。 The person in charge of the hospital or other facility, the patient admitted to the facility, or the patient's family depends on the degree of recovery of the condition of the patient admitted or admitted to the facility such as the hospital, or the necessity of nursing, etc. In some cases, the hospital may look for a destination facility after discharge. For example, as a receiving facility for receiving a patient after the patient leaves the acute hospital, a convalescent hospital, a nursing home, a nursing home, and the like exist. The person in charge of the facility such as a hospital, the patient who is hospitalized or in the facility, and the patient's family search for the receiving facility that meets the receiving conditions of the facility from the receiving facilities. . A related technique is disclosed in Patent Document 1.

　特許文献１には、患者の入院内容に基づいて空きベッドの候補を検索し、患者の最初の入院期間におけるベッドの割り当てと、最初の入院期間の最終日を初日とする次の入院期間におけるベッドの割り当てとを行う技術が開示されている。 In Patent Literature 1, a candidate for an empty bed is searched based on the contents of hospitalization of a patient, a bed is allocated in a first hospitalization period of a patient, and a bed in a next hospitalization period is set as the last day of the first hospitalization period as a first day. And a technique for performing the assignment.

日本国特開２０１３－１２５４３０号公報JP 2013-125430 A

　ところで、患者の病状の回復の程度や看護の必要性、退院後に患者を受け入れる受け入れ先施設での患者の受け入れ可否の状況に応じて、受け入れ先施設の検索は時間がかかる場合がある。受け入れ先の施設の決定が遅れることにより、患者の早期退院に繋がらない場合がある。すなわち、より早い段階から患者等の受け入れ先施設の決定を支援することができる技術が求められている。 検 索 By the way, depending on the degree of recovery of the patient's medical condition, necessity of nursing, and the acceptability of the patient at the receiving facility for receiving the patient after discharge, the search for the receiving facility may take time. Delays in deciding the host facility may not lead to early discharge of the patient. In other words, there is a need for a technology capable of supporting the determination of a receiving facility for a patient or the like from an earlier stage.

　この発明の目的の一例は、上述の課題を解決するマッチング支援装置、マッチング支援方法、記憶媒体を提供することである。 An example of the object of the present invention is to provide a matching support device, a matching support method, and a storage medium that solve the above-described problems.

　本発明の第１の態様によれば、マッチング支援装置は、患者の回復度合を予測する回復度合予測部と、前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定する候補特定部と、を備える。 According to the first aspect of the present invention, the matching support device includes a recovery degree prediction unit that predicts a recovery degree of the patient, and the plurality of the plurality of reception facilities based on the recovery degree and the reception conditions of each of the plurality of receiving facilities. A candidate specifying unit that specifies candidates for a receiving facility that can receive the patient at a predetermined time from the receiving facility.

　本発明の第２の態様によれば、マッチング支援方法は、患者の回復度合を予測し、前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定することを含む。 According to the second aspect of the present invention, the matching support method predicts the degree of recovery of the patient, based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, Identifying candidate receiving facilities that can accept the patient at a predetermined time.

　本発明の第３の態様によれば、記憶媒体は、コンピュータに、患者の回復度合を予測し、前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定する、ことを実行させるためのプログラムを記憶する。 According to a third aspect of the present invention, a storage medium predicts a degree of recovery of a patient by a computer and, based on the degree of recovery and receiving conditions of each of the plurality of receiving facilities, stores the plurality of receiving facilities. From the above, a program for executing a process of specifying a candidate of a receiving facility that can receive the patient at a predetermined time is stored.

　本発明の実施形態によれば、より早い段階で患者等の受け入れ先施設の決定を支援することを可能とする技術を提供することができる。 According to the embodiment of the present invention, it is possible to provide a technology capable of supporting the determination of a facility for receiving a patient or the like at an earlier stage.

本発明の一実施形態によるマッチング支援システムの概要を示す図である。It is a figure showing the outline of the matching support system by one embodiment of the present invention. 本発明の一実施形態によるマッチング支援システムの構成を示す図である。It is a figure showing composition of a matching support system by one embodiment of the present invention. 本発明の一実施形態によるマッチング支援装置のハードウェア構成図である。FIG. 1 is a hardware configuration diagram of a matching support device according to an embodiment of the present invention. 本発明の一実施形態によるマッチング支援装置の機能ブロック図である。It is a functional block diagram of a matching support device by one embodiment of the present invention. 本発明の一実施形態によるマッチング支援装置の処理フローを示す図である。It is a figure showing the processing flow of the matching support device by one embodiment of the present invention. 本発明の一実施形態による退院日までの時間経過に応じた回復度合を示す図である。It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention. 本発明の一実施形態による退院日までの時間経過に応じた回復度合を示す図である。It is a figure which shows the recovery degree according to time progress until discharge day by one Embodiment of this invention. 本発明の一実施形態による受け入れ条件を示す図である。FIG. 4 is a diagram illustrating an acceptance condition according to an embodiment of the present invention. 本発明の実施形態の変形例によるマッチング支援装置の機能ブロック図である。It is a functional block diagram of a matching support device by a modification of an embodiment of the present invention. 本発明の一実施形態による患者の看護種別ごとの受け入れ条件を示す図である。It is a figure showing the acceptance condition for every nursing type of the patient by one embodiment of the present invention. 本発明の別の実施形態によるマッチング支援装置の構成を示す図である。FIG. 11 is a diagram illustrating a configuration of a matching support device according to another embodiment of the present invention.

　以下、本発明の一実施形態によるマッチング支援装置を、図面を参照して説明する。
　図１は本実施形態によるマッチング支援装置を有するマッチング支援システム１００の概要を示す図である。本実施形態によるマッチング支援システム１００は、急性期病院などの施設に入院（または入所）している患者が退院（または退所）し、他の施設に入院（または入所）する場合に、受け入れ先となり得る施設の決定を支援するためのシステムである。以下、マッチングとは、施設に入院（または入所）している患者が退院（または退所）し、他の施設に入院（または入所）する場合に、受け入れ先となり得る施設を決定することを示す。
　マッチング支援装置１は患者を受け入れる受け入れ先となり得る各施設（以下受け入れ先施設と呼ぶ）に設けられたサーバや端末などと通信接続されている。図１に示す例において、受け入れ先施設は、急性期病院Ａ、回復期病院Ｂ、介護施設Ｃ、小規模多機能施設Ｄ、老人ホームＥ等である。これらの施設とは異なる施設であっても、これらの各施設を退院（退所）した患者を受け入れる施設であれば受け入れ先施設に成り得る。例えば急性期病院に入院する患者が退院し回復期病院がその患者を受け入れる場合には、回復期病院が受け入れ先施設となる。患者が急性期病院を退院して他の急性期病院がその患者を受け入れる場合もある。また老人（患者）が第一の老人ホームから第二の老人ホームに移転する場合には、第二の老人ホームが受け入れ先施設となる。 Hereinafter, a matching support device according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an outline of a matching support system 100 having a matching support device according to the present embodiment. The matching support system 100 according to the present embodiment is used when a patient admitted (or admitted) to a facility such as an acute care hospital is discharged (or discharged) and admitted to another facility (or admitted). This is a system for supporting the determination of potential facilities. Hereinafter, the term "matching" indicates that when a patient who is hospitalized (or admitted) to a facility is discharged (or discharged) and is hospitalized (or admitted) to another facility, a facility that can be a receiving destination is determined. .
The matching support device 1 is communicatively connected to a server, a terminal, or the like provided at each facility that can be a reception destination for receiving a patient (hereinafter, referred to as a reception destination facility). In the example illustrated in FIG. 1, the receiving facilities are an acute care hospital A, a convalescent care hospital B, a nursing care facility C, a small-scale multifunctional facility D, a nursing home E, and the like. Even if it is a facility different from these facilities, it can be a receiving facility if it is a facility that receives a patient who has been discharged (leaved) from each of these facilities. For example, when a patient admitted to an acute care hospital is discharged and the convalescent hospital accepts the patient, the convalescent hospital is the receiving facility. A patient may be discharged from an acute care hospital and another acute care hospital may accept the patient. When the elderly (patient) moves from the first nursing home to the second nursing home, the second nursing home becomes the receiving facility.

　図２はマッチング支援システムの構成を示す図である。
　図２に示すように、マッチング支援装置１は、急性期病院Ａ、回復期病院Ｂ、介護施設Ｃ、小規模多機能施設Ｄ、老人ホームＥなどの各施設に設置された端末２やサーバ３と通信接続されている。なお図２において、マッチング支援装置１は、各施設の端末２およびサーバ３の双方と通信接続されている様子を示しているが、何れかの各施設においては端末２とサーバ３の何れか一方と通信接続されるようにしてもよい。マッチング支援システムは、クラウドコンピューティングシステムとして実現されてもよい。 FIG. 2 is a diagram showing a configuration of the matching support system.
As shown in FIG. 2, the matching support device 1 includes a terminal 2 and a server 3 installed in facilities such as an acute care hospital A, a convalescent care hospital B, a nursing home C, a small multifunctional facility D, and a nursing home E. Is connected for communication. Note that FIG. 2 shows that the matching support device 1 is communicatively connected to both the terminal 2 and the server 3 of each facility, but in any one of the facilities, one of the terminal 2 and the server 3 is provided. May be connected for communication. The matching support system may be realized as a cloud computing system.

　図３はマッチング支援装置のハードウェア構成図である。
　図３が示すようにマッチング支援装置１はＣＰＵ（Central Processing Unit）１０１、ＲＯＭ（Read Only Memory）１０２、ＲＡＭ（Random Access Memory）１０３、データベース１０４、通信モジュール１０５等の各ハードウェアを備えたコンピュータである。
　なお端末２やサーバ３も同様の構成を備えたコンピュータであってよい。 FIG. 3 is a hardware configuration diagram of the matching support apparatus.
As shown in FIG. 3, the matching support device 1 is a computer including hardware such as a CPU (Central Processing Unit) 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a database 104, a communication module 105, and the like. It is.
The terminal 2 and the server 3 may be computers having the same configuration.

　図４はマッチング支援装置の機能ブロック図である。
　マッチング支援装置１は、起動すると予め記憶するマッチング支援プログラムを実行する。これによりマッチング支援装置１には、制御部１１、取得部１２、回復度合予測部１４、候補特定部１５、施設判定部１６、受け入れ条件出力部１７、受け入れ先特定部１８の各機能が備えられる。 FIG. 4 is a functional block diagram of the matching support device.
When activated, the matching support apparatus 1 executes a matching support program stored in advance. As a result, the matching support apparatus 1 is provided with the functions of a control unit 11, an acquisition unit 12, a recovery degree prediction unit 14, a candidate identification unit 15, a facility determination unit 16, an acceptance condition output unit 17, and an acceptance destination identification unit 18. .

　制御部１１はマッチング支援装置１の各機能を制御する。
　取得部１２は処理に必要な各種情報を取得する。処理に必要な各種情報には、患者の回復度合の予測に必要な情報や、受け入れ先施設に関する情報が含まれる。また、処理に必要な各種情報には、マッチング支援装置１の各要素において必要となる他の情報が含まれてもよい。取得部１２は、より具体的な例として、患者のカルテ情報や、患者の退院日（退院予定日）の回復度合に応じた施設の一覧情報を取得する。 The control unit 11 controls each function of the matching support device 1.
The acquisition unit 12 acquires various types of information necessary for processing. The various types of information necessary for the processing include information necessary for predicting the degree of recovery of the patient and information regarding the receiving facility. Further, the various information necessary for the processing may include other information necessary for each element of the matching support device 1. The acquisition unit 12 acquires, as a more specific example, chart information of a patient and list information of facilities according to the degree of recovery of the patient's discharge date (scheduled discharge date).

　回復度合予測部１４は、患者の回復度合を予測する。一例として、回復度合予測部１４は、患者の属性に対応する属性の他の複数の患者を含む患者群の過去の看護履歴に基づいて、患者の回復度合を予測する。患者の回復度合は、患者の病状の回復の程度を示す。患者の回復度合は、回復度合の範囲として示されてもよい。
　候補特定部１５は、回復度合や回復度合の範囲と受け入れ先施設それぞれの受け入れ条件とに基づいて、所定の時期に患者を退院後に受け入れることのできる受け入れ先施設の候補を特定する。なお、所定の時期は、患者が現在入院している病院や施設を退院し、受け入れ先へ転院等すると見込まれる時期（すなわち、施設に入院または入所している患者が退院または退所して受け入れ先施設に入院または入所すると見込まれる時期）である。
以下の説明では、上述した所定の時期を「退院見込み時期」と称する。退院見込み時期は、特定の日で示されてもよいし、適宜定めた範囲の期間で示されてもよい。退院見込み時期は、例えば病院の平均在院日数や、その他の条件から定められればよい。病院の平均在院日数は、患者の診断名ごとに定められてもよい。
　施設判定部１６は、受け入れ先施設の候補が受け入れ条件を変更できる受け入れ先施設であるかを判定する。 The recovery degree prediction unit 14 predicts the recovery degree of the patient. As an example, the recovery degree prediction unit 14 predicts the recovery degree of the patient based on past nursing histories of a patient group including a plurality of other patients having attributes corresponding to the attribute of the patient. The patient's degree of recovery indicates the degree of recovery of the patient's condition. The degree of recovery of the patient may be indicated as a range of the degree of recovery.
The candidate specifying unit 15 specifies a candidate for a receiving facility that can accept a patient after discharge at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility. The predetermined time is a time when the patient is discharged from the hospital or facility where the patient is currently hospitalized and is expected to be transferred to the receiving place (that is, a patient who is hospitalized or admitted to the facility is discharged or discharged and accepted). It is time to be hospitalized or admitted to the destination facility).
In the following description, the above-mentioned predetermined time is referred to as “discharge expected time”. The expected discharge time may be indicated on a specific day, or may be indicated for a period in an appropriately determined range. The expected discharge time may be determined based on, for example, the average number of hospital days in the hospital and other conditions. The average hospital stay in a hospital may be determined for each diagnosis of a patient.
The facility determination unit 16 determines whether the candidate for the receiving facility is a receiving facility whose receiving conditions can be changed.

　受け入れ条件出力部１７は、受け入れ先施設の候補が受け入れ条件を変更できる受け入れ先施設であるかを判定する。受け入れ条件出力部１７は、受け入れ先施設の候補が受け入れ条件を変更できる受け入れ先施設であると判定した場合に、患者の退院日（退院予定日）における当該受け入れ先施設の受け入れ判定指標に応じた受け入れ可否を変更した受け入れ条件を出力する。
　受け入れ先特定部１８は、受け入れ先施設の候補の示す属性情報に基づいて受け入れ先施設の候補の中から患者の受け入れ先を特定する。受け入れ先特定部１８は、さらに患者によって特定された受け入れ先施設の候補の示す属性情報の条件を示す希望情報に基づいて、受け入れ先候補の中から患者の受け入れ先を特定してもよい。 The accepting condition output unit 17 determines whether the accepting facility candidate is an accepting facility whose accepting condition can be changed. When determining that the candidate for the receiving facility is a receiving facility that can change the receiving condition, the receiving condition output unit 17 responds to the receiving determination index of the receiving facility on the patient's discharge date (scheduled discharge date). Outputs the acceptance condition for which acceptance has been changed.
The receiving destination specifying unit 18 specifies the receiving destination of the patient from the receiving facility candidates based on the attribute information indicating the receiving facility candidates. The receiving destination specifying unit 18 may further specify the receiving destination of the patient from the receiving destination candidates based on the desired information indicating the condition of the attribute information indicated by the receiving facility candidate specified by the patient.

　そしてマッチング支援装置１は、上述した各構成要素が以下の処理を実行することにより、より早い段階での患者等の受け入れ先施設の決定を支援することを可能とする技術を提供する。またマッチング支援装置１は、上述した各構成要素が以下の処理を実行することにより、受け入れ先施設における受け入れ条件の変動や、患者の退院日（退院予定日）における回復度合やその範囲に応じた適切な受け入れ先施設の検索を支援する。 The matching support apparatus 1 provides a technology that enables each of the above-described components to support the determination of a receiving facility for a patient or the like at an earlier stage by executing the following processing. In addition, the matching support device 1 performs the following processing by each of the above-described components, thereby responding to fluctuations in the reception conditions at the reception destination facility, the degree of recovery on the patient's discharge date (scheduled discharge date), and the range thereof. Assist in finding the right hosting facility.

　図５はマッチング支援装置の処理フローを示す図である。
　患者が入院する施設の看護師等の担当者は、端末２やサーバ３を操作してマッチング要求を出力するよう指示する。マッチング要求の出力指示は、一定期間の後に患者が退院して受け入れ先施設に入院または入所することを想定して、例えば患者の入院翌日に行われる。ただし、マッチング要求の出力指示は、入院翌日以降の時期に行われてもよい。端末２やサーバ３は担当者の操作に基づいてマッチング要求をマッチング支援装置１へ送信する。マッチング支援装置１は何れかの施設の端末２またはサーバ３からのマッチング要求を受信する（ステップＳ１０１）。 FIG. 5 is a diagram illustrating a processing flow of the matching support apparatus.
A person in charge, such as a nurse at the facility where the patient is hospitalized, instructs the terminal 2 and the server 3 to output a matching request. The output instruction of the matching request is performed, for example, on the day after the patient is admitted, assuming that the patient will be discharged after a certain period of time and will be admitted or admitted to the receiving facility. However, the output instruction of the matching request may be performed at a time after the day after the hospitalization. The terminal 2 or the server 3 transmits a matching request to the matching support device 1 based on the operation of the person in charge. The matching support apparatus 1 receives a matching request from the terminal 2 or the server 3 of any facility (Step S101).

　マッチング要求には、当該要求を行った施設のＩＤ、患者のＩＤ、患者の年齢、体重、性別などの身体属性などを示す患者のカルテ情報が含まれているものとする。カルテ情報には、さらに患者に対する治療・ケア履歴が含まれる。治療・ケア履歴には、患者の疾患を識別する疾患種別、当該疾患などを含む患者の状態に基づき患者に対して必要な治療やケアの種類を入院期間の各日ごとに識別する看護種別、当該疾患に基づく医師手術の態様、入院期間に併発した疾患種別とその併発日、患者の入院期間における各日の体温、排尿排便回数などの状態情報などが含まれるが、マッチング要求に必要であればこれら以外の情報が含まれてもよい。マッチング支援装置１の制御部１１はマッチング要求に含まれる各情報を回復度合予測部１４に出力すると共に、当該回復度合予測部１４に回復度合予測指示を出力する。 It is assumed that the matching request includes the patient's medical record information indicating the ID of the facility that made the request, the ID of the patient, and physical attributes such as the patient's age, weight, and gender. The medical record information further includes a history of treatment and care for the patient. The treatment / care history includes a disease type that identifies the patient's disease, a nursing type that identifies the type of treatment and care required for the patient based on the patient's condition including the disease, etc., for each day of the hospital stay, The state of the doctor's operation based on the disease, the type of the disease that occurred concurrently with the hospitalization period and its concurrent date, the body temperature of each day during the hospitalization period of the patient, the state information such as the number of urination and defecation, etc. are included. For example, information other than these may be included. The control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the recovery degree prediction unit 14 and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14.

　回復度合予測部１４は施設ＩＤ、患者の疾患種別、患者の身体属性に対応する回復度合予測モデルを、データベース１０４から読み取る（ステップＳ１０２）。回復度合予測モデルは、患者のカルテ情報や、退院見込み時期の入力に基づいて、退院見込み時期における患者の回復度合を出力する。回復度合予測モデルは、マッチング要求に含まれる施設ＩＤの施設のサーバ３から得たカルテ情報に基づいて、施設の各々における患者の疾患種別や患者の身体属性に基づくクラスタごとに、機械学習の手法を用いて予め生成される。回復度合は、一例として、回復の程度をいくつかの段階に区分したカテゴリ変数やＦＩＭ（Functional Independence Measure）のスコアなどの数値で出力される。機械学習としては、混合分布モデルやサポートベクターマシンが用いられるが、これらには限られない。
回復度合予測モデルは、マッチング支援装置１が生成してもよい。または、回復度合予測モデルは、他の機械学習装置が生成して、例えばマッチング支援装置１のデータベース１０４に予め格納されてもよい。 The recovery degree prediction unit 14 reads the recovery degree prediction model corresponding to the facility ID, the disease type of the patient, and the physical attributes of the patient from the database 104 (step S102). The recovery degree prediction model outputs the recovery degree of the patient at the expected discharge time based on the patient's chart information and the input of the expected discharge time. The recovery degree prediction model is based on the medical record information obtained from the facility server 3 of the facility with the facility ID included in the matching request, and uses a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes in each of the facilities. Is generated in advance using As an example, the recovery degree is output as a numerical value such as a categorical variable or a FIM (Functional Independence Measure) score in which the degree of recovery is divided into several stages. As the machine learning, a mixture distribution model or a support vector machine is used, but not limited thereto.
The recovery degree prediction model may be generated by the matching support device 1. Alternatively, the recovery degree prediction model may be generated by another machine learning device and stored in advance in, for example, the database 104 of the matching support device 1.

　回復度合予測部１４は回復度合予測モデルにマッチング要求に含まれる患者のカルテ情報と退院見込み時期の指定とを入力し、回復度合予測モデルを用いて指定された日の患者の回復度合を予測する（ステップＳ１０３）。回復度合は、患者の状態やその他の要因によって一定の度合とならない場合がある。そのため、回復度合は退院見込み時期における回復度合の範囲（ぶれ）を示すものであってよい。退院見込み時期が期間で示される場合、回復度合の範囲は当該期間内で変化することがあり得る。この場合の一例として、回復度合予測部１４は、退院見込み時期における回復度合の範囲が示す最も大きな回復度合の値を、当該退院見込み時期における回復度合とする。回復度合予測部１４は、指定された退院見込み時期における患者の回復度合を予測してもよいし、予測を行う時点から退院見込み時期までの患者の回復度合の変化を時系列的に予測してもよい。回復度合予測部１４は、患者の回復度合を予測すると、制御部１１に対して、回復度合や回復度合の範囲の算出完了を出力する。これに応じて、制御部１１は、指定された日または期間、回復度合又は回復度合の範囲と、候補特定処理の開始の指示とを候補特定部１５へ出力する。 The recovery degree prediction unit 14 inputs the patient's medical record information included in the matching request and the designation of the expected discharge time to the recovery degree prediction model, and predicts the recovery degree of the patient on the designated day using the recovery degree prediction model. (Step S103). The degree of recovery may not be constant depending on the condition of the patient and other factors. Therefore, the degree of recovery may indicate the range (blur) of the degree of recovery at the expected discharge time. If the estimated discharge time is indicated by a period, the range of the degree of recovery may change within the period. As an example of this case, the recovery degree prediction unit 14 sets the largest value of the recovery degree indicated by the range of the recovery degree at the expected discharge time as the recovery degree at the expected discharge time. The recovery degree predicting unit 14 may predict the recovery degree of the patient at the specified expected discharge time, or may predict the change in the recovery degree of the patient from the prediction time to the predicted discharge time in time series. Is also good. After predicting the recovery degree of the patient, the recovery degree prediction unit 14 outputs to the control unit 11 the completion of calculation of the recovery degree and the range of the recovery degree. In response, the control unit 11 outputs to the candidate specifying unit 15 the specified date or period, the degree of recovery or the range of the degree of recovery, and an instruction to start the candidate specifying process.

　回復度合は一例としては、患者の日常生活動作（ＡＤＬ：Activities of Daily Living）の度合を示す。受け入れ先施設は回復度合に応じて異なる。例えば回復度合が低い場合、療養病院などのより回復度合の低い患者の受け入れ先施設が探索される必要がある。また回復度合が高い場合、回復期施設などのより回復度合の高い患者の受け入れ先施設が探索される必要がある。 The 例 recovery degree indicates, for example, a degree of daily activity (ADL: Activities of Daily Living) of the patient. Reception facilities vary depending on the degree of recovery. For example, if the degree of recovery is low, it is necessary to search for a facility for receiving patients with a lower degree of recovery, such as a nursing home. When the degree of recovery is high, it is necessary to search for a facility for receiving a patient with a higher degree of recovery, such as a recovery facility.

　図６Ａおよび図６Ｂは時間経過に応じた回復度合を概念的に示す図である。図６Ａおよび図６Ｂのそれぞれにおいて、横軸は時間の経過を表し、縦軸は患者の回復度合を表す。患者の回復度合は、一例として上述したＡＤＬで表される。図６Ａおよび図６Ｂのそれぞれにおける実線は、回復度合予測部１４により予測された回復度合の変化の様子を示し、点線は、回復度合予測部１４により予測された回復度合の範囲の上限または下限の変化の様子を示す。さらに図６Ａおよび図６Ｂは回復度合に基づいて、その回復度合の程度に応じて区分された受け入れ先施設の候補となる施設カテゴリが特定されることを示す。施設カテゴリは療養施設（図６Ａおよび図６Ｂでは「療養」と記載）、通常施設（図６Ａおよび図６Ｂでは「施設」と記載）、リハビリ施設やリハビリ病院（図６Ａおよび図６Ｂでは「リハビリ病院」と記載）に区分されているが、これとは異なる区分でもよい。施設カテゴリのうち、療養施設のカテゴリには療養病院やホスピスなどが含まれる。施設カテゴリのうち、通常施設のカテゴリは受け入れ先となる通常施設であり介護施設や老人ホームが含まれる。施設カテゴリのうちリハビリ施設のカテゴリには回復期病院や看護小規模多機能型介護施設などが含まれる。 FIGS. 6A and 6B are diagrams conceptually showing the degree of recovery over time. 6A and 6B, the horizontal axis represents the passage of time, and the vertical axis represents the degree of patient recovery. The degree of recovery of the patient is represented by the ADL described above as an example. 6A and 6B, the solid line indicates the state of change of the recovery degree predicted by the recovery degree prediction unit 14, and the dotted line indicates the upper or lower limit of the range of the recovery degree predicted by the recovery degree prediction unit 14. The state of change is shown. Further, FIGS. 6A and 6B show that, based on the degree of recovery, the facility category that is a candidate for the receiving facility classified according to the degree of recovery is specified. The facility category is a recuperation facility (described as “recuperation” in FIGS. 6A and 6B), a normal facility (described as “facility” in FIGS. 6A and 6B), a rehabilitation facility or a rehabilitation hospital (“rehabilitation hospital in FIGS. 6A and 6B”). )), But may be a different category. Among the facility categories, the category of recuperation facilities includes recuperation hospitals and hospice. Among the facility categories, the category of the normal facility is a normal facility to be accepted and includes nursing homes and nursing homes. Among the facility categories, the category of rehabilitation facilities includes convalescent hospitals and small-scale multifunctional nursing care facilities.

　図６Ａは回復度合の範囲が大きい場合の例を示す。このような場合には、後述する候補特定部１５において、リハビリ施設やリハビリ病院または通常施設が受け入れ先施設の候補となり得る。図６Ｂは退院日（退院予定日）における回復度合の範囲が小さい場合の例を示す。このような場合には、後述する候補特定部１５において、リハビリ施設やリハビリ病院が受け入れ先施設の候補となり得る。すなわち、回復度合予測部１４が患者の回復度合を予測することにより、患者の回復度合やその範囲に応じた受け入れ先施設の選択が可能となる。
　なお、回復度合予測部１４は、算出した退院日（退院予定日）における回復度合の範囲が大きいか否かを判定し、回復度合の範囲が所定の閾値以上である場合には、受け入れ先施設の候補の特定処理以降を中止すると判定してもよい。 FIG. 6A shows an example where the range of the degree of recovery is large. In such a case, a rehabilitation facility, a rehabilitation hospital, or a normal facility may be a candidate for a receiving facility in the candidate specifying unit 15 described later. FIG. 6B shows an example where the range of the degree of recovery on the discharge date (expected discharge date) is small. In such a case, a rehabilitation facility or a rehabilitation hospital may be a candidate for the receiving facility in the candidate specifying unit 15 described later. In other words, the recovery degree prediction unit 14 predicts the degree of recovery of the patient, so that it is possible to select the receiving facility according to the degree of recovery of the patient and its range.
The recovery degree prediction unit 14 determines whether the range of the recovery degree on the calculated discharge date (scheduled discharge date) is large or not, and when the recovery degree range is equal to or larger than the predetermined threshold, the receiving facility It may be determined that the processing after the candidate identification processing is stopped.

　候補特定部１５は制御部１１から候補特定処理の開始の指示を受け付ける。これに応じて、候補特定部１５は、患者ＩＤが示す患者の受け入れ先施設の候補を特定する処理を開始する。具体的には、候補特定部１５は回復度合予測部１４から取得した回復度合や、回復度合の範囲により指定される一つまたは複数の施設カテゴリに紐づいてデータベース１０４に記録されている各施設を受け入れ先候補として特定する（ステップＳ１０４）。なお受け入れ先候補として特定する施設の数は、回復度合や、回復度合の範囲により指定される一つまたは複数の施設カテゴリに紐づいてデータベース１０４に記録されている施設であれば、一つであっても複数であってもよい。すなわち、マッチング支援装置１は、患者の回復度合に応じて複数の病院や施設からの受け入れ先施設の選択を可能にする。 The candidate specifying unit 15 receives an instruction from the control unit 11 to start the candidate specifying process. In response to this, the candidate specifying unit 15 starts a process of specifying a candidate for a facility for receiving the patient indicated by the patient ID. Specifically, the candidate specifying unit 15 records each facility recorded in the database 104 in association with the recovery degree acquired from the recovery degree prediction unit 14 and one or more facility categories specified by the range of the recovery degree. Is specified as a candidate for the receiving destination (step S104). It should be noted that the number of facilities specified as the accepting destination candidates is one if the facility is recorded in the database 104 in association with one or a plurality of facility categories specified by the degree of recovery or the range of the degree of recovery. There may be more than one. That is, the matching support apparatus 1 enables selection of a receiving facility from a plurality of hospitals and facilities according to the degree of recovery of the patient.

　候補特定部１５は、受け入れ先候補として特定した施設のＩＤに紐づいてデータベース１０４に記録されている受け入れ条件と、現在の受け入れ判定指標の度合とを取得する（ステップＳ１０５）。受け入れ条件は、一例として各施設の担当者から各日の受け入れ条件を問い合わせてマッチング支援装置１がデータベース１０４に記録した情報であってよい。または、受け入れ条件は、各施設の担当者が端末２を用いて受け入れ条件をマッチング支援装置１へ送信し、マッチング支援装置１の制御部１１がその受け入れ条件を施設ごとにデータベース１０４に記録した情報であってもよい。 (4) The candidate specifying unit 15 obtains the reception condition recorded in the database 104 in association with the ID of the facility specified as the reception destination candidate and the current degree of the reception determination index (step S105). As an example, the acceptance condition may be information recorded in the database 104 by the matching support apparatus 1 after inquiring the acceptance condition of each day from a person in charge of each facility. Alternatively, the reception conditions are information in which the person in charge of each facility transmits the reception conditions to the matching support apparatus 1 using the terminal 2 and the control unit 11 of the matching support apparatus 1 records the reception conditions in the database 104 for each facility. It may be.

　受け入れ条件は、より具体的には、各日における受け入れ先施設の患者の受け入れ判定指標の度合に応じた受け入れ先施設での患者の受け入れ可否を示す情報である。受け入れ判定指標は、一例としては各々の受け入れ先施設の空床率である。受け入れ判定指標の度合は空床率の大きさである。つまり、受け入れ条件は、受け入れ先施設の空床率に応じた患者の受け入れ可否を示す。受け入れ条件は、例えば、施設における空床率が小の場合の受け入れ可否、空床率が中の場合の受け入れ可否、空床率が大の場合の受け入れ可否のように、空床率に応じた複数の段階で示される。なお、この例では受け入れ可否を三段階に区分して説明したが、段階の数は施設に応じて決められればよい。受け入れ条件は、患者の看護種別ごとに設定されてもよい。 The acceptance condition is, more specifically, information indicating whether or not the patient can be accepted at the receiving facility according to the degree of the acceptance judgment index of the patient at the receiving facility on each day. The acceptance determination index is, for example, the vacancy rate of each receiving facility. The degree of the acceptance determination index is the magnitude of the vacancy rate. In other words, the acceptance condition indicates whether or not the patient can be accepted according to the vacancy rate of the receiving facility. The acceptance conditions are determined according to the vacancy rate, for example, whether the facility has a low vacancy rate, if the vacancy rate is medium, if the vacancy rate is medium, and if the vacancy rate is high, the facility is acceptable. Shown in multiple stages. In this example, the acceptability is described in three stages, but the number of stages may be determined according to the facility. The acceptance condition may be set for each patient nursing type.

　受け入れ条件には、さらに、受け入れ判定指標の度合に応じた受け入れ可否が変更可能であるかを示す受け入れ変更可否フラグが含まれていてもよい。受け入れ変更可否フラグが不可を示す場合、その施設は、受け入れ判定指標の度合に応じた患者の受け入れ可否を変更しない施設であると判定される。このような施設は、例えば、特別な治療やケアが必要な看護種別に属する患者の受け入れ可否を空床率によって変更しない施設である。受け入れ変更可否フラグが可を示す（不可を示さない）場合、その施設は、受け入れ判定指標の度合に応じた患者の受け入れ可否を変更しうる施設であると判定される。このような施設は、例えば、特別な治療やケアが必要な看護種別に属する患者の受け入れ可否を空床率によって変更する施設である。つまり、このような施設は、空床率が小さい場合には特別な治療やケアが必要な看護種別に属する患者を受け入れないが、空床率が大きい場合には、これらの患者を受け入れる可能性がある施設である。受け入れ先施設の受け入れ判定指標は、スタッフの人数、スタッフの対応可能業務時間、入院患者のうちの重症患者の割合などの空床率以外の情報であってもよい。以下の説明では、受け入れ条件に受け入れ変更可否フラグが含まれていることを想定する。 The acceptance condition may further include an acceptance change enable / disable flag indicating whether the acceptability according to the degree of the acceptance determination index can be changed. When the acceptance change availability flag indicates “impossible”, the facility is determined to be a facility that does not change the acceptance status of the patient according to the degree of the acceptance determination index. Such a facility is, for example, a facility that does not change the acceptability of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate. When the acceptance change availability flag indicates “allowed” (not “impossible”), the facility is determined to be a facility that can change the acceptance status of a patient according to the degree of the acceptance determination index. Such a facility is, for example, a facility that changes the acceptance or non-acceptance of a patient belonging to a nursing type requiring special treatment or care according to the vacancy rate. In other words, such facilities do not accept patients belonging to nursing types requiring special treatment or care when the vacancy rate is low, but may accept these patients when the vacancy rate is high. There is a facility. The acceptance determination index of the receiving facility may be information other than the vacancy rate, such as the number of staff members, the available business hours of the staff members, and the ratio of severely ill patients among hospitalized patients. In the following description, it is assumed that the acceptance condition includes an acceptance changeability flag.

　図７は受け入れ条件を示す図である。
　受け入れ条件は、図７で示すように、ある施設（図７においては施設Ａ）における空床率（割合（％））に応じた受け入れ可否を示す情報である。図７において、“〇”は、受け入れ可を示す。“×”は、受け入れ否（不可）を示す。
　図７においてはさらに、看護種別ごとに空床率に応じた受け入れ可否を含む受け入れ条件を示している。経鼻栄養と記載されるカラムは経鼻からの栄養摂取が必要な患者の受け入れ可否を空床率に応じて示す。気管切開と記載されるカラムは気管切開をしている患者の受け入れ可否を空床率に応じて示す。感染症と記載されるカラムは感染症に罹患している患者の受け入れ可否を空床率に応じて示す。人工呼吸と記載されるカラムは人工呼吸器具の装着が必要な患者の受け入れ可否を空床率に応じて示す。 FIG. 7 is a diagram showing the acceptance conditions.
As shown in FIG. 7, the acceptance condition is information indicating whether or not acceptance is possible according to the vacancy rate (ratio (%)) in a certain facility (facility A in FIG. 7). In FIG. 7, “〇” indicates acceptability. “×” indicates rejection (impossible).
FIG. 7 further shows acceptance conditions including acceptance availability according to the vacancy rate for each nursing type. The column described as nasal nutrition indicates the acceptability of patients requiring nasal nutrition according to the vacancy rate. The column labeled tracheostomy indicates the acceptance of patients undergoing tracheostomy according to the vacancy rate. The column described as infectious disease indicates the acceptability of patients suffering from infectious disease according to the vacancy rate. The column described as artificial respiration indicates the acceptability of patients who need to wear artificial respirators according to the vacancy rate.

　候補特定部１５は、患者の回復度合やその度合の範囲に基づいて特定した一つまたは複数の受け入れ先候補となる施設を示す施設ＩＤと、当該一つまたは複数の受け入れ先候補となる施設の受け入れ条件を示す情報と、現在の受け入れ判定指標の度合との組み合わせを施設判定部１６と受け入れ条件出力部１７とへ出力する。施設判定部１６は、一つまたは複数の受け入れ先候補となる各施設の受け入れ条件を取得し、それら受け入れ変更可否フラグが不可を示すか否かを判定する（ステップＳ１０６）。施設判定部１６は受け入れ変更可否フラグが不可を示すか否かを示す判定結果を施設ＩＤごとに生成し、受け入れ条件出力部１７へ出力する。 The candidate specifying unit 15 includes a facility ID indicating one or a plurality of reception destination candidates identified based on the degree of recovery of the patient and a range of the degree, and a list of the one or more reception destination candidates. The combination of the information indicating the acceptance condition and the current degree of the acceptance judgment index is output to the facility judgment unit 16 and the acceptance condition output unit 17. The facility determination unit 16 acquires the reception condition of each facility that is one or a plurality of reception destination candidates, and determines whether or not the reception change permission / prohibition flag indicates the impossibility (step S106). The facility determination unit 16 generates a determination result indicating whether or not the acceptance change availability flag indicates “impossible” for each facility ID, and outputs the determination result to the acceptance condition output unit 17.

　受け入れ条件出力部１７は、施設判定部１６による受け入れ変更可否フラグが不可を示す判定結果となった施設ＩＤを特定する。ある施設についての受け入れ変更可否フラグが不可を示す場合、その施設は受け入れ判定指標の度合に応じた受け入れ可否を変更しない施設である。そこで、受け入れ条件出力部１７は、その施設の受け入れ条件の情報を直ちに出力すると判定する。この場合、受け入れ条件出力部１７は、受け入れ変更可否フラグが不可を示す判定結果となった施設ＩＤに基づいて、データベース１０４から施設属性情報（施設名称、住所、電話番号など）を取得する。受け入れ条件出力部１７は、受け入れ判定指標の度合に応じた受け入れ可否の情報を変更しない施設についての、施設ＩＤ、施設属性情報、その施設の現在の受け入れ判定指標の度合（空床率の大きさ（数値）など）を含む第一受け入れ先候補一覧を生成する（ステップＳ１０７）。受け入れ条件出力部１７は、患者ＩＤと、生成した第一受け入れ先候補一覧と、各受け入れ先候補の受け入れ条件を示す情報とを、マッチング要求を出力した端末２やサーバ３へ送信する（ステップＳ１０８）。端末２やサーバ３は、第一受け入れ先候補一覧と、各受け入れ先候補の受け入れ条件とを、担当者の要求などに応じて適宜所定のモニタやその他の出力手段に出力する。 (4) The accepting condition output unit 17 specifies the facility ID for which the accepting change permission / inhibition flag by the facility determining unit 16 has become a determination result indicating impossibility. If the acceptance change availability flag for a certain facility indicates that the facility is unacceptable, the facility is a facility that does not change the acceptance availability according to the degree of the acceptance determination index. Therefore, the receiving condition output unit 17 determines that the information on the receiving condition of the facility is output immediately. In this case, the acceptance condition output unit 17 acquires the facility attribute information (facility name, address, telephone number, etc.) from the database 104 based on the facility ID for which the acceptance change availability flag indicates a disapproval. The acceptance condition output unit 17 outputs the facility ID, the facility attribute information, and the current acceptance decision index of the facility (the size of the vacancy rate) for the facility that does not change the acceptability information according to the acceptance decision index. (Numerical value) is generated (step S107). The accepting condition output unit 17 transmits the patient ID, the generated first accepting candidate list, and information indicating the accepting condition of each accepting candidate to the terminal 2 or the server 3 that has output the matching request (step S108). ). The terminal 2 and the server 3 output the first candidate list of receiving destinations and the receiving conditions of each receiving destination candidate to a predetermined monitor or other output means as appropriate according to the request of the person in charge.

　これにより、看護師などの担当者、患者自身、患者の家族は、受け入れ判定指標の度合に応じた受け入れ可否の情報を変更しない施設についての、施設ＩＤ、施設属性情報（施設名称、住所、電話番号など）、その施設の現在の受け入れ判定指標の度合（空床率の大きさ（数値）など）を含む第一受け入れ先候補一覧と、各受け入れ先候補の受け入れ条件とを閲覧することができる。この一覧には現在の受け入れ判定指標の度合に応じた受け入れ可能か否かを示す情報が含まれてもよい。例えば受け入れ判定指標の度合と閾値との比較に基づいて、受け入れ判定指標の度合が閾値以上の場合には受入れ可、受け入れ判定指標の度合が閾値未満の場合には受入れ不可と設定される。 Accordingly, the staff such as a nurse, the patient himself, and the patient's family can change the facility ID, facility attribute information (facility name, address, telephone Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (the size of the vacancy rate (numerical value), etc.), and the acceptance conditions of each destination candidate can be viewed. . This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index. For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.

　受け入れ変更可否フラグが可を示す場合、その施設は受け入れ判定指標の度合に応じた受け入れ可否を変更する可能性のある施設である。このような施設は、例えば、特別な治療やケアが必要な看護種別に属する患者の受け入れ可否が空床率によって変更される可能性がある施設である。このため、受け入れ条件出力部１７は、受け入れ変更可否フラグが可を示す場合、受け入れ先候補の施設における現在の受け入れ判定指標の度合に応じて当該施設の受け入れ条件を変更した受け入れ条件を示す情報を生成して出力すると判定する。例えば受け入れ条件出力部１７は、受け入れ変更可否フラグが可を示す１つまたは複数の施設のうちから１つの施設を選択し、その施設の現在の受け入れ判定指標の度合が第一閾値以上かを判定する（ステップＳ１０９）。ここで、第一閾値は、選択された施設の受け入れ可否が最も緩和された条件にある場合（例えば、特別な治療やケアが必要な看護種別に属する患者の受け入れが最大限可能な場合）であるか否かを判別する閾値である。受け入れ条件出力部１７は、選択した施設の現在の受け入れ判定指標の度合が第一閾値以上である場合には、その施設の受け入れ条件に含まれる受け入れ判定指標の度合に応じた受け入れ可否を、最大限、受け入れ不可から受け入れ可に変更する（ステップＳ１１０）。例えば受け入れ条件出力部１７は、選択した施設Ａの現在の空床率（現在の受け入れ判定指標の度合）が２０％（第一閾値）以上である場合には、例えば、空床率３０％の場合の受け入れ可否の情報（〇又は×）のうち受け入れ不可となっている情報を、全て受け入れ可（〇）に変更する。 場合 When the acceptance change availability flag indicates “acceptable,” the facility is a facility that may change the acceptance according to the degree of the acceptance determination index. Such a facility is, for example, a facility in which the acceptability of a patient belonging to a nursing type requiring special treatment or care may be changed depending on the vacancy rate. For this reason, when the acceptance change availability flag indicates “acceptable”, the acceptance condition output unit 17 outputs information indicating the acceptance condition in which the acceptance condition of the facility has been changed in accordance with the degree of the current acceptance determination index in the facility of the accepting destination candidate. It is determined to generate and output. For example, the acceptance condition output unit 17 selects one facility from one or a plurality of facilities whose acceptance change availability flag indicates yes, and determines whether the current acceptance determination index of the facility is equal to or greater than the first threshold. (Step S109). Here, the first threshold value is set when the acceptance of the selected facility is under the most relaxed condition (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is maximized). This is a threshold for determining whether or not there is. When the degree of the current acceptance determination index of the selected facility is equal to or more than the first threshold, the acceptance condition output unit 17 determines whether or not the acceptance according to the degree of the acceptance determination index included in the acceptance condition of the facility is a maximum. The limit is changed from unacceptable to acceptable (step S110). For example, when the current vacancy rate (the degree of the current acceptance determination index) of the selected facility A is equal to or greater than 20% (first threshold), the acceptance condition output unit 17 outputs, for example, a vacancy rate of 30%. In the case of acceptability information (〇 or ×), all information that is not acceptable is changed to acceptability (〇).

　受け入れ条件出力部１７は、選択した施設の現在の受け入れ判定指標の度合が第一閾値よりも値の小さい第二閾値以上、第一閾値未満であるかを判定する（ステップＳ１１１）。ここで、第二閾値は、選択された施設の受け入れ可否が一部緩和された条件にある場合（例えば、特別な治療やケアが必要な看護種別に属する患者の受け入れが一部不可となる場合）であるか否かを判別する閾値である。受け入れ条件出力部１７は、選択した施設の現在の受け入れ判定指標の度合が第二閾値以上、第一閾値未満である場合には、その施設の受け入れ条件に含まれる受け入れ判定指標の度合に応じた受け入れ可否のうち、所定の看護種別についての受け入れ可否を、受け入れ不可から受け入れ可に変更する（ステップＳ１１２）。例えば受け入れ条件出力部１７は、選択した施設Ａの現在の空床率（現在の受け入れ判定指標の度合）が１０％（第二閾値）以上、２０％（第一閾値）未満である場合には、空床率１５％の場合で看護種別が人工呼吸の項目についての受け入れ可否の情報（〇又は×）のうち受け入れ不可となっている情報のうち、経鼻栄養、気管切開を受け入れ可（〇）に変更する。 The acceptance condition output unit 17 determines whether the degree of the current acceptance determination index of the selected facility is equal to or greater than the second threshold value smaller than the first threshold value and less than the first threshold value (step S111). Here, the second threshold value is set when the acceptance of the selected facility is partially relaxed (for example, when the acceptance of patients belonging to the nursing type requiring special treatment or care is partially disabled) ). If the degree of the current acceptance judgment index of the selected facility is equal to or greater than the second threshold and less than the first threshold, the acceptance condition output unit 17 responds to the degree of the acceptance judgment index included in the acceptance condition of the facility. Of the acceptability, the acceptability of a predetermined nursing type is changed from unacceptable to acceptable (step S112). For example, if the current vacancy rate (the degree of the current acceptance determination index) of the selected facility A is 10% (second threshold) or more and less than 20% (first threshold), the acceptance condition output unit 17 , Nasal nutrition and tracheostomy are acceptable among the information that is not acceptable among the information (〇 or ×) of the acceptability of the item of artificial respiration when the vacancy rate is 15%. ).

　受け入れ条件出力部１７は、受け入れ判定指標の度合に応じた受け入れ可否の情報が変更できる施設（受け入れ変更可否フラグが可を示す施設）の現在の受け入れ判定指標の度合の判定と、受け入れ条件の変更を終了したことを判定する。すると、受け入れ条件出力部１７は、受け入れ判定指標の度合に応じた受け入れ可否の情報が変更できる施設の各施設ＩＤに基づいて、データベース１０４から各施設ＩＤに紐づく施設属性情報（施設名称、住所、電話番号など）を取得する。受け入れ条件出力部１７は、受け入れ判定指標の度合に応じた受け入れ可否の情報が変更できる施設についての、施設ＩＤ、施設属性情報、その施設の現在の受け入れ判定指標の度合（空床率の大きさ（数値）など）を含む第二受け入れ先候補一覧を生成する（ステップＳ１１３）。受け入れ条件出力部１７は、患者ＩＤと、生成した第二受け入れ先候補一覧と、各受け入れ先候補の変更後のまたは未変更の受け入れ条件を示す情報とを、マッチング要求を出力した端末２やサーバ３へ送信する（ステップＳ１１４）。端末２やサーバ３は第二受け入れ先候補一覧と、各受け入れ先候補の変更後のまたは未変更の受け入れ条件を示す情報とを、担当者の要求などに応じて適宜所定のモニタやその他の出力手段に出力する。受け入れ条件出力部１７は、生成した第二受け入れ先候補一覧と変更後のまたは未変更の受け入れ条件を示す情報とを、マッチング要求を出力した端末２やサーバ３へ送信する。端末２やサーバ３は第二受け入れ先候補一覧と変更後のまたは未変更の受け入れ条件とを、担当者の要求などに応じて適宜所定のモニタやその他の出力手段に出力する。 The acceptance condition output unit 17 determines the degree of the current acceptance judgment index of a facility (a facility whose acceptance change enable / disable flag indicates “acceptable”) in which the information of acceptance is changeable according to the degree of the acceptance judgment index, and changes the acceptance condition. It is determined that has been completed. Then, the acceptance condition output unit 17 outputs the facility attribute information (facility name, address) associated with each facility ID from the database 104, based on each facility ID of the facility whose acceptance information can be changed according to the degree of the acceptance determination index. , Phone numbers, etc.). The acceptance condition output unit 17 outputs a facility ID, facility attribute information, and a current acceptance decision index of the facility (the size of the vacancy rate) for a facility in which the information on acceptability according to the degree of the acceptance decision index can be changed. (Numerical value) is generated (step S113). The receiving condition output unit 17 outputs the patient ID, the generated second list of receiving destination candidates, and information indicating the changed or unchanged receiving conditions of each receiving destination candidate to the terminal 2 or the server that has output the matching request. 3 (step S114). The terminal 2 or the server 3 transmits the second reception destination candidate list and the information indicating the changed or unchanged reception conditions of each reception destination candidate to a predetermined monitor or other output as appropriate according to the request of the person in charge. Output to the means. The accepting condition output unit 17 transmits the generated second accepting candidate list and the information indicating the changed or unmodified accepting condition to the terminal 2 or the server 3 that has output the matching request. The terminal 2 or the server 3 outputs the second candidate list of receiving destinations and the changed or unchanged receiving conditions to a predetermined monitor or other output means as needed in response to a request from a person in charge.

　これにより、看護師などの担当者、患者自身、患者の家族は、受け入れ判定指標の度合に応じた受け入れ可否の情報が変更できる施設についての、施設ＩＤ、施設属性情報（施設名称、住所、電話番号など）、その施設の現在の受け入れ判定指標の度合（空床率の大きさ（数値）など）を含む第一受け入れ先候補一覧と、各受け入れ先候補の変更後のまたは未変更の受け入れ条件とを閲覧することができる。この一覧には現在の受け入れ判定指標の度合に応じた受け入れ可能か否かを示す情報が含まれてもよい。例えば受け入れ判定指標の度合と閾値との比較に基づいて、受け入れ判定指標の度合が閾値以上の場合には受入れ可、受け入れ判定指標の度合が閾値未満の場合には受入れ不可と設定される。 Thereby, the person in charge such as a nurse, the patient himself, and the patient's family can change the information on the acceptability according to the degree of the acceptability determination index by using the facility ID, the facility attribute information (facility name, address, telephone number). Number, etc.), a list of first destination candidates including the degree of the current acceptance judgment index of the facility (such as the size of the vacancy rate (numerical value)), and the changed or unchanged acceptance conditions for each destination candidate And can be viewed. This list may include information indicating whether or not acceptance is possible according to the degree of the current acceptance determination index. For example, based on a comparison between the degree of the acceptance determination index and the threshold, it is set to be acceptable if the degree of the acceptance determination index is equal to or greater than the threshold, and to be unacceptable if the degree of the acceptance determination index is less than the threshold.

　受け入れ条件出力部１７は第一受け入れ先候補一覧と、第二受け入れ先候補一覧とを結合した受け入れ先候補一覧を生成して、マッチング要求を出力した端末２やサーバ３へ送信するようにしてもよい。 The accepting condition output unit 17 may generate an accepting candidate list obtained by combining the first accepting candidate list and the second accepting candidate list, and transmit the matching candidate list to the terminal 2 or the server 3 that outputs the matching request. Good.

　看護師などの担当者、患者自身、患者の家族は、モニタに出力された第一受け入れ先候補一覧や、第二受け入れ先候補一覧、それらの一覧を結合した受け入れ先候補一覧において、希望する受け入れ先候補を選択することができる。受け入れ先候補の選択に応じて、端末２やサーバ３は選択された受け入れ先候補の施設ＩＤと患者ＩＤとを含む特定要求をマッチング支援装置１へ出力する。 The person in charge, such as a nurse, the patient himself, and the patient's family, enter the desired acceptance list in the first candidate list, the second candidate list, and the combined candidate list output from the monitor. A candidate can be selected. In response to the selection of the destination candidate, the terminal 2 or the server 3 outputs a specific request including the facility ID and the patient ID of the selected destination candidate to the matching support apparatus 1.

　マッチング支援装置１の受け入れ先特定部１８は特定要求を取得する。受け入れ先特定部１８は特定要求に含まれる患者ＩＤの患者の受け入れ先として、その特定要求に含まれる施設ＩＤの施設を特定する。受け入れ先特定部１８は特定要求に含まれる施設ＩＤと患者ＩＤとに基づいて、患者ＩＤで示される患者が施設ＩＤで示される受け入れ先候補の施設での受け入れを希望していることを示す受け入れ希望情報を生成する。受け入れ先特定部１８は、この受け入れ希望情報を施設ＩＤが示す施設の端末２やサーバ３へ送信する。
これにより受け入れ希望情報が、受け入れ先候補の施設のうち患者等が希望する施設に送信される。 The receiving destination specifying unit 18 of the matching support device 1 acquires the specifying request. The receiving destination specifying unit 18 specifies, as a receiving destination of the patient having the patient ID included in the specifying request, the facility having the facility ID included in the specifying request. Based on the facility ID and the patient ID included in the specification request, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving candidate facility indicated by the facility ID. Generate desired information. The receiving destination specifying unit 18 transmits the desired receiving information to the terminal 2 or the server 3 of the facility indicated by the facility ID.
As a result, the desired reception information is transmitted to the facilities desired by the patient or the like among the facilities of the candidate reception destinations.

　上述の処理においては、看護師などの担当者、患者自身、患者の家族が端末２やサーバ３を利用して受け入れを希望する施設を選択する場合の例について説明した。しかしながら、マッチング支援装置１が自動で受け入れ先候補の施設の中から１つの施設を特定してもよい。例えば、受け入れ先特定部１８は、受け入れ先候補のうちのいずれか一つを任意に選択していずれかの一つを患者の受け入れ先として特定してもよい。別の例として、受け入れ先特定部１８は、受け入れ先施設の候補の示す属性情報と、患者によって特定された受け入れ先施設の候補の示す属性情報の条件を示す希望情報とに基づいて受け入れ先施設の候補の中から患者の受け入れ先を特定してもよい。より具体的にはマッチング支援装置１は端末２やサーバ３から希望情報を取得する。希望情報には、受け入れ先施設の候補を特定する属性として、患者等の希望する施設のある地域、当該施設を利用する費用、施設の建築年月日などの情報が含まれる。受け入れ先特定部１８は、これら希望情報に含まれる情報と、受け入れ先施設の候補の施設の属性情報とが一致する施設を特定する。そして受け入れ先特定部１８は特定要求に含まれる施設ＩＤと患者ＩＤとに基づいて、患者ＩＤで示される患者が施設ＩＤで示される受け入れ先候補の施設での受け入れを希望していることを示す受け入れ希望情報を生成するようにしてよい。
　マッチング支援装置１は、回復度合予測部１４が予測した患者の回復度合に応じて受け入れ先施設の候補を特定することにより、より早い段階での患者等の受け入れ先施設の決定を支援することが可能となる。また、患者の回復度合の範囲に応じて候補特定部１５が受け入れ先施設を特定することで、患者の回復度合の程度に応じた適切な受け入れ先施設の決定が容易になる。さらに、受け入れ判定指標の度合に応じて受け入れ可否条件を変化させることで、受け入れ先施設の状況に応じた受け入れ先施設の決定が可能となる。 In the above-described processing, an example has been described in which the staff such as a nurse, the patient himself, and the family of the patient use the terminal 2 or the server 3 to select a facility that he or she wants to accept. However, the matching support apparatus 1 may automatically specify one facility from among the facilities of the candidate destinations. For example, the receiving destination specifying unit 18 may arbitrarily select one of the receiving destination candidates and specify one of the candidates as the receiving destination of the patient. As another example, the receiving destination specifying unit 18 determines the receiving destination facility based on the attribute information indicating the receiving destination candidate and the desired information indicating the condition of the attribute information indicating the receiving destination candidate specified by the patient. May be specified from among the candidates. More specifically, the matching support device 1 acquires desired information from the terminal 2 or the server 3. The desired information includes, as attributes for specifying candidates for the receiving facility, information such as the area where the desired facility such as a patient is located, the cost of using the facility, and the date of construction of the facility. The receiving destination specifying unit 18 specifies a facility where the information included in the desired information and the attribute information of the candidate receiving facility are the same. Then, the receiving destination specifying unit 18 indicates that the patient indicated by the patient ID wants to be accepted at the receiving destination candidate facility indicated by the facility ID, based on the facility ID and the patient ID included in the specifying request. Acceptance desired information may be generated.
The matching support device 1 can support the determination of the receiving facility such as the patient at an earlier stage by specifying the candidate of the receiving facility according to the recovery degree of the patient predicted by the recovery degree predicting unit 14. It becomes possible. In addition, since the candidate specifying unit 15 specifies the receiving facility in accordance with the range of the degree of recovery of the patient, it is easy to determine an appropriate receiving facility in accordance with the degree of recovery of the patient. Further, by changing the acceptability condition according to the degree of the acceptability determination index, the accepting facility can be determined according to the situation of the accepting facility.

　（変形例）
　上述したマッチング支援装置１には変形例が想定される。
　図８は実施形態の変形例によるマッチング支援装置の機能ブロック図である。
　変形例によるマッチング支援装置１は、上述したマッチング支援装置１と比較して、退院時期予測部１３が更に備えられる点が異なる。
　退院時期予測部１３は、患者の属性に対応する患者群の過去の看護履歴に基づいて患者の退院時期を予測する。退院時期予測部１３は、ある１日を患者の退院時期（退院日）として予測してもよいし、任意の長さの退院時期を予測してもよい。退院時期予測部１３が備えられる場合、マッチング支援装置１の制御部１１はマッチング要求に含まれる各情報を退院時期予測部１３に出力すると共に、当該退院時期予測部１３に退院時期予測指示を出力する。退院時期予測部１３は、施設ＩＤ、患者の疾患種別、退院時期予測モデルを、データベース１０４から読み取る。退院時期予測モデルは、患者の退院時期に関する情報を含む患者のカルテ情報に基づいて、患者の疾患種別や患者の身体属性に基づくクラスタごとに、機械学習の手法を用いて予め生成される。退院時期予測モデルは、患者のカルテ情報の入力に基づいて、現在の日時を基準とする退院時期を出力する。退院時期は、ある特定の１日で示されてもよいし、適宜定めた範囲の期間で示されてもよい。退院時期予測モデルは、マッチング支援装置１が生成してもよい。または、退院時期予測モデルは、他の機械学習装置が生成して、例えばマッチング支援装置１のデータベース１０４に予め格納されてもよい。 (Modification)
A modified example is assumed for the above-described matching support device 1.
FIG. 8 is a functional block diagram of a matching support device according to a modification of the embodiment.
The matching support device 1 according to the modified example is different from the above-described matching support device 1 in that a discharge time prediction unit 13 is further provided.
The discharge time prediction unit 13 predicts the discharge time of a patient based on the past nursing history of a patient group corresponding to the attribute of the patient. The discharge time prediction unit 13 may predict a certain day as a patient discharge time (discharge date), or may predict a discharge time of any length. When the discharge time prediction unit 13 is provided, the control unit 11 of the matching support apparatus 1 outputs each information included in the matching request to the discharge time prediction unit 13 and outputs a discharge time prediction instruction to the discharge time prediction unit 13. I do. The discharge time prediction unit 13 reads the facility ID, the disease type of the patient, and the discharge time prediction model from the database 104. The discharge time prediction model is generated in advance by using a machine learning method for each cluster based on the patient's disease type and the patient's physical attributes based on the patient's medical record information including information on the patient's discharge time. The discharge time prediction model outputs a discharge time based on the current date and time based on the input of the patient's chart information. The discharge time may be indicated by a specific one day, or may be indicated by a period in an appropriately determined range. The discharge time prediction model may be generated by the matching support device 1. Alternatively, the discharge time prediction model may be generated by another machine learning device and stored in the database 104 of the matching support device 1 in advance, for example.

　退院時期予測部１３は退院時期予測モデルにマッチング要求に含まれる患者のカルテ情報を入力し、退院時期予測モデルを用いて退院時期を予測する。退院時期は特定日を示すものでも、または特定期間を示すものであってもよい。退院時期予測部１３は制御部１１へ退院日（退院予定日）の算出完了を出力する。すると制御部１１は、マッチング要求に含まれる各情報と退院日（退院予定日）とを回復度合予測部１４に出力すると共に、当該回復度合予測部１４に回復度合予測指示を出力する。以降、回復度合予測部１４を含む各要素は、退院時期予測部１３が予測した退院日（退院予定日）又は期間に患者が受け入れ先施設へ転院等するとして、上述した各処理を行う。 The discharge time prediction unit 13 inputs the patient's chart information included in the matching request to the discharge time prediction model, and predicts the discharge time using the discharge time prediction model. The discharge time may indicate a specific date or a specific period. The discharge time prediction unit 13 outputs to the control unit 11 the calculation completion of the discharge date (scheduled discharge date). Then, the control unit 11 outputs each information included in the matching request and the discharge date (scheduled discharge date) to the recovery degree prediction unit 14, and outputs a recovery degree prediction instruction to the recovery degree prediction unit 14. After that, each element including the recovery degree prediction unit 14 performs the above-described processing on the assumption that the patient will be transferred to the receiving facility on the discharge date (discharge scheduled date) or period predicted by the discharge time prediction unit 13.

　（動作例）
　上述したマッチング支援装置によって受け入れ先施設を特定する場合の動作例を説明する。
　まず、感染症がある患者に対して、１週間後を退院見込み時期とした場合に、回復度合予測部１４は受け入れ先施設がリハビリ病院になると予測した場合を想定する。
　図９はマッチング要求を行った時点から１週間後のリハビリ病院における患者の看護種別ごとの受け入れ条件を示す図である。図９の例では、受け入れ条件は、空床の有無で示される。つまり、ＡＡ病院、ＢＢ病院、ＣＣ病院は空床があることから受け入れ可否が可（○）となり、ＤＤ病院は満床であるため受け入れ可否が否（×）となる。また、ＡＡ病院及びＢＢ病院は、感染症に罹患している患者の受け入れ可否が可であり、ＣＣ病院は、感染症に罹患している患者の受け入れ可否が否である。なお、受け入れ変化可否フラグは否であるとする。この場合に、受け入れ条件出力部１７は、ＡＡ病院又はＢＢ病院を受け入れ先候補として出力する。
　更に、希望情報として、患者が自宅から近い病院を希望していることを想定する。そして、ＡＡ病院は患者の自宅から３ｋｍの距離にあり、ＢＢ病院は患者の自宅から１０ｋｍの距離にあるとする。この場合に、受け入れ先特定部１８は、当該患者の受け入れ先として、一週間後にＡＡ病院へ転院すると特定する。このように、マッチング支援装置を用いることで、患者の退院予定日よりも早い段階で患者等の受け入れ先施設の決定を決定することが可能となる。 (Operation example)
An operation example in the case where the receiving facility is specified by the above-described matching support device will be described.
First, it is assumed that the recovery degree prediction unit 14 predicts that the receiving facility will be a rehabilitation hospital when one week later is the estimated discharge time for a patient with an infectious disease.
FIG. 9 is a diagram showing acceptance conditions for each nursing type of a patient in a rehabilitation hospital one week after the request for matching is made. In the example of FIG. 9, the acceptance condition is indicated by the presence or absence of an empty floor. That is, the AA hospital, the BB hospital, and the CC hospital have vacant floors, so acceptance is possible (可), and the DD hospital is fully occupied, so acceptance is not acceptable (x). In addition, the AA hospital and the BB hospital can accept or not accept patients suffering from infectious diseases, and the CC hospital can accept or not accept patients who suffer from infectious diseases. It is assumed that the acceptance change availability flag is negative. In this case, the receiving condition output unit 17 outputs the AA hospital or the BB hospital as the receiving destination candidate.
Further, it is assumed that the patient desires a hospital near his / her home as desired information. The AA hospital is located at a distance of 3 km from the patient's home, and the BB hospital is located at a distance of 10 km from the patient's home. In this case, the receiving destination specifying unit 18 specifies to transfer to the AA hospital one week later as the receiving destination of the patient. As described above, by using the matching support device, it is possible to determine the destination facility for receiving a patient or the like earlier than the scheduled discharge date of the patient.

　（別の実施形態）
　図１０はマッチング支援装置の構成を示す図である。
　図１０が示すように、マッチング支援装置１は、少なくとも、回復度合予測部１４と、候補特定部１５とを備える。
　回復度合予測部１４は、患者の回復度合を予測する。回復度合予測部１４は、患者の属性に対応する患者群の過去の看護履歴に基づいて回復度合の範囲も予測する。
　候補特定部１５は、回復度合や回復度合の範囲と受け入れ先施設それぞれの受け入れ条件とに基づいて、所定の時期に患者を受け入れることのできる受け入れ先施設の候補を特定する。
　マッチング支援装置１は、回復度合予測部１４が患者の回復度合を予測し、候補特定部１５が予測された回復度合にも基づいて受け入れ先施設の候補を特定することにより、より早い段階での患者等の受け入れ先施設の決定を支援することが可能となる。 (Another embodiment)
FIG. 10 is a diagram illustrating a configuration of the matching support apparatus.
As shown in FIG. 10, the matching support device 1 includes at least a recovery degree prediction unit 14 and a candidate identification unit 15.
The recovery degree prediction unit 14 predicts the recovery degree of the patient. The recovery degree prediction unit 14 also predicts the range of the recovery degree based on the past nursing history of the patient group corresponding to the attributes of the patient.
The candidate specifying unit 15 specifies candidates for a receiving facility that can receive a patient at a predetermined time based on the degree of recovery, the range of the degree of recovery, and the receiving conditions of each receiving facility.
In the matching support apparatus 1, the recovery degree prediction unit 14 predicts the recovery degree of the patient, and the candidate specifying unit 15 specifies the candidate of the receiving facility based on the predicted recovery degree, so that it is at an earlier stage. It is possible to support the determination of the receiving facility for patients and the like.

　上述のマッチング支援装置１は、内部にコンピュータシステムを有している。そして、上述した各処理の過程は、プログラムの形式でコンピュータ読み取り可能な記録媒体に記憶されており、このプログラムをコンピュータが読み出して実行することによって、上記処理が行われる。 マ ッ チ ン グ The above-mentioned matching support device 1 has a computer system inside. The processes of the above-described processes are stored in a computer-readable recording medium in the form of a program, and the above-described processes are performed by reading and executing the program by the computer.

　上記プログラムは、前述した機能の一部を実現するためのものであってもよい。さらに、前述した機能をコンピュータシステムにすでに記録されているプログラムとの組み合わせで実現できるもの、いわゆる差分ファイル（差分プログラム）であってもよい。 The program may be for realizing a part of the functions described above. Furthermore, what can implement | achieve the function mentioned above in combination with the program already recorded on the computer system, what is called a difference file (difference program) may be sufficient.

　この出願は、２０１８年１０月５日に出願された日本国特願２０１８－１８９８２６を基礎とする優先権を主張し、その開示の全てをここに取り込む。 This application claims priority based on Japanese Patent Application No. 2018-189826 filed on October 5, 2018, and incorporates all of the disclosures herein.

　本発明は、マッチング支援装置、マッチング支援方法、記憶媒体に適用してもよい。 The present invention may be applied to a matching support device, a matching support method, and a storage medium.

１・・・マッチング支援装置
２・・・端末
３・・・サーバ
１１・・・制御部
１２・・・取得部
１３・・・退院時期予測部
１４・・・回復度合予測部
１５・・・候補特定部
１６・・・施設判定部
１７・・・受け入れ条件出力部
１８・・・受け入れ先特定部
１００・・マッチング支援システム DESCRIPTION OF SYMBOLS 1 ... Matching support apparatus 2 ... Terminal 3 ... Server 11 ... Control part 12 ... Acquisition part 13 ... Discharge time prediction part 14 ... Recovery degree prediction part 15 ... Candidate Identifying unit 16 Facility determining unit 17 Accepting condition output unit 18 Accepting destination identifying unit 100 Matching support system

Claims (10)

　患者の回復度合を予測する回復度合予測部と、
　前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定する候補特定部と、
　を備えるマッチング支援装置。 A recovery degree prediction unit for predicting the recovery degree of the patient;
Based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, a candidate specifying unit that specifies candidates for receiving facilities that can receive the patient at a predetermined time,
A matching support device comprising: 　前記受け入れ先施設の候補が前記受け入れ条件を変更できる受け入れ先施設であるかを判定する施設判定部と、
　前記受け入れ先施設の候補が前記受け入れ条件を変更できる受け入れ先施設であると判定した場合に、前記患者の退院予定日における前記候補である前記受け入れ先施設の受け入れ判定指標の度合に応じた受け入れ可否を緩和した前記受け入れ条件を出力する受け入れ条件出力部と、
　をさらに備える請求項１に記載のマッチング支援装置。 A facility determination unit that determines whether the candidate for the receiving facility is a receiving facility that can change the receiving condition,
If the candidate of the receiving facility is determined to be a receiving facility that can change the receiving condition, whether or not the receiving facility according to the degree of the receiving determination index of the receiving facility that is the candidate on the scheduled discharge date of the patient is determined. An acceptance condition output unit that outputs the acceptance condition in which
The matching support device according to claim 1, further comprising: 　前記患者の属性に対応する患者群の過去の看護履歴に基づいて前記患者の退院時期を予測する退院時期予測部と、
　をさらに備える請求項１または請求項２に記載のマッチング支援装置。 Discharge time prediction unit for predicting the discharge time of the patient based on the past nursing history of the patient group corresponding to the attributes of the patient,
The matching support device according to claim 1 or 2, further comprising: 　前記回復度合予測部は、前記患者の属性に対応する患者群の過去の看護履歴に基づいて退院予定日における前記回復度合の範囲を予測する
　請求項１から請求項３の何れか一項に記載のマッチング支援装置。 The said recovery degree prediction part predicts the range of the said recovery degree on the scheduled discharge date based on the past nursing history of the patient group corresponding to the attribute of the said patient. Matching support device. 　前記回復度合に応じた前記受け入れ先施設の一覧情報を取得する取得部と、をさらに備え、
　前記候補特定部は、前記患者の前記回復度合に応じた前記受け入れ先施設の中から、退院予定日における前記受け入れ条件に基づいて、前記患者を退院後に受け入れることのできる前記受け入れ先施設の候補を特定する
　請求項１から請求項４の何れか一項に記載のマッチング支援装置。 An acquisition unit that acquires list information of the receiving facility according to the degree of recovery,
The candidate identification unit, from among the receiving facilities according to the degree of recovery of the patient, based on the receiving conditions on the scheduled discharge date, the candidate of the receiving facility that can accept the patient after discharge The matching support device according to any one of claims 1 to 4. 　前記回復度合の範囲に応じた前記受け入れ先施設の一覧情報を取得する取得部と、を備え、
　前記候補特定部は、前記患者の前記回復度合の範囲に応じた前記受け入れ先施設の中から、退院予定日における前記受け入れ条件に基づいて、前記患者を退院後に受け入れることのできる前記受け入れ先施設の候補を特定する
　請求項１から請求項４の何れか一項に記載のマッチング支援装置。 An acquisition unit that acquires list information of the receiving facility according to the range of the recovery degree,
The candidate identification unit, from among the receiving facilities according to the range of the degree of recovery of the patient, based on the receiving conditions on the scheduled discharge date, of the receiving facility that can accept the patient after discharge The matching support device according to claim 1, wherein the candidate is specified. 　前記受け入れ先施設の候補の示す属性情報に基づいて前記受け入れ先施設の候補の中から前記患者の受け入れ先を特定する受け入れ先特定部と、
　をさらに備える請求項１から請求項６の何れか一項に記載のマッチング支援装置。 A receiving destination specifying unit that specifies a receiving destination of the patient from among the candidates for the receiving facility based on the attribute information indicating the candidates for the receiving facility,
The matching support apparatus according to any one of claims 1 to 6, further comprising: 　前記受け入れ先特定部は、さらに前記患者によって特定された前記受け入れ先施設の候補の示す属性情報の条件を示す希望情報に基づいて前記受け入れ先施設の候補の中から前記患者の受け入れ先を特定する、
　請求項７に記載のマッチング支援装置。 The receiving destination specifying unit further specifies a receiving destination of the patient from the candidates for the receiving facility based on desired information indicating a condition of attribute information indicating the candidate for the receiving facility specified by the patient. ,
A matching support device according to claim 7. 　患者の回復度合を予測し、
　前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定する、
　ことを含むマッチング支援方法。 Predict the degree of patient recovery,
Based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, specify a candidate receiving facility that can accept the patient at a predetermined time,
A matching support method that includes: 　コンピュータに、
　患者の回復度合を予測し、
　前記回復度合と複数の受け入れ先施設それぞれの受け入れ条件とに基づいて、前記複数の受け入れ先施設から、前記患者を所定の時期に受け入れることのできる受け入れ先施設の候補を特定する、
　ことを実行させるためのプログラムを記憶した記録媒体。 On the computer,
Predict the degree of patient recovery,
Based on the degree of recovery and the receiving conditions of each of the plurality of receiving facilities, from the plurality of receiving facilities, specify a candidate receiving facility that can accept the patient at a predetermined time,
A recording medium storing a program for executing the above.
PCT/JP2019/039300 2018-10-05 2019-10-04 Matching assistance device, matching assistance method, and storage medium Ceased WO2020071540A1 (en)

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