JP5992798B2 - Modality introduction support apparatus and method, and program - Google Patents

Description

  The present invention relates to a modality introduction support apparatus and method for supporting introduction of a modality by a medical institution, and a program.

  In medical institutions such as hospitals, various modalities such as CR (Computed Radiography) apparatus, DR (Digital Radiography) apparatus, CT (computed tomography) apparatus, etc. are introduced for use in taking medical images. . When introducing a modality, a medical institution first considers whether or not a modality should be introduced, and selects a modality manufacturer and model to be introduced after the introduction decision.

  The introduction of expensive modalities can have a major impact on the management of medical institutions. Therefore, when examining whether or not to introduce a modality, it is necessary to examine the demand for the modality within the medical care area of the medical institution. In addition, various types of modalities are sold from a plurality of manufacturers, and a characteristic function or the like is given to each model. Therefore, when selecting a modality manufacturer or model, the price, processing capability, function, etc. of each modality must be investigated and understood. As described above, since various studies are necessary for the introduction of modalities, it is difficult for hospitals with no experience of introducing modalities or hospitals with little experience of introduction of modalities to consider the introduction of modalities.

  Conventionally, a technique for supporting the introduction of advanced medical devices such as modalities has been invented for medical institutions (see, for example, Patent Document 1). Patent Document 1 automatically selects the type of modality and the configuration of the modality system based on the conditions such as the introduction budget of the modality, the expected number of patients, the installation area and the weight, and based on the estimated number of patients for each predetermined period. Thus, there is disclosed a loan amount calculation server capable of calculating a consideration for a selected modality for each predetermined period. The predicted number of patients is the number of patients who are expected to take a medical image by the modality when the modality is introduced. According to the loan amount calculation server of Patent Document 1, the introduction of a modality can be independently examined even in a hospital that has no experience of introducing modality or a hospital that has little experience of introduction.

JP 2007-095106 A

  The loan amount calculation server disclosed in Patent Literature 1 can perform modality model selection and consideration calculation, but does not determine whether or not to introduce a modality. Therefore, even if a hospital with no modality introduction experience or a hospital with little introduction experience considers the introduction of a modality using the loan amount calculation server of Patent Document 1, it is not possible to receive support for examination of whether or not to introduce the modality.

  In Patent Document 1, the number of predicted patients is used in order to select a modality model and to calculate the consideration. However, the predicted accuracy of the predicted number of patients depends on the profitability after the introduction of the modality and the medical treatment. It will have a big impact. For example, if the modality is introduced when the predicted number of patients is expected to be greater than the actual number of patients, the actual number of patients will be less than the predicted number of patients. It will be lower than at the time of consideration. Conversely, if the modality is introduced with the expected number of patients expected to be less than the actual number of patients, the actual number of patients will be greater than the expected number of patients, so the modality processing A lack of ability will affect medical care. Thus, in the introduction study of the modality, the prediction accuracy of the number of patients is an important factor, but Patent Document 1 does not describe how to predict the number of patients.

  An object of the present invention is to provide a modality introduction support apparatus and method, and a program capable of accurately predicting the number of patients after the introduction of a modality and assisting in examining whether or not to introduce a modality.

  In order to solve the above-described problems, the modality introduction support apparatus of the present invention includes a disease occurrence information database that stores the number of actual patients suffering from disease for each region, and a statistical information database that stores statistical information for each region related to the disease. And a unit information database in which the number of modalities required for medical treatment of illnesses is stored for each region, and the possibility of receiving medical treatment due to the illness within the medical care area of the medical institution wishing to introduce modalities Number of potential patients based on the number of actual patients and statistical information, and the number of patients allowed by subtracting the number of actual patients from the total number of patients that can be processed by modality within the service area based on the number of patients introduced Compare the surplus processing capacity specifying unit that identifies the surplus processing capacity with the number of potential patients and the allowable number of patients, and if the number of potential patients is greater than the allowable number of patients An introductory determination unit that makes a recommended decision that recommends the introduction of a modality to a medical institution that wants to be introduced, and that makes a non-recommendation decision that does not recommend the introduction of a modality to a medical institution that wants to be introduced if the number of potential patients is smaller than the allowable number I have.

  The statistical information includes morbidity statistics information for each region related to disease and demographic information for each region, and the potential patient number prediction unit is based on the morbidity statistics information and demographic information of the medical area, It is preferable to calculate the number of assumed patients who may suffer from illness in the medical area and calculate the number of patients obtained by subtracting the number of actual patients from the number of assumed patients as the number of potential patients.

  The statistical information includes periodic health check statistical information that stores the total number of people who have undergone regular health check-ups in each region and the number of found patients who have found abnormalities in the total number of check-ups. Is preferably obtained from the ratio of the number of founders to the total number of patients in the medical area.

  The number information database stores the number of modalities introduced, the operating rate and the number of clinical departments in which the modality has been introduced, and the surplus processing capacity identification section Preferably, the total number of patients is identified based on the number.

  The introduction determination unit calculates the number of surplus potential patients by subtracting the number of allowable patients from the number of potential patients, and the number of clinical departments and modalities necessary to process the number of surplus potential patients within the clinical sphere It is preferable to specify the number of units.

  Modality information database in which information related to multiple types of modalities is registered, and modality selection that searches the modality information database and selects modalities that are recommended for introduction to medical institutions that wish to be introduced when the introduction decision unit makes a recommendation decision It is preferable to provide a part.

  The modality selection unit preferably selects a modality that can process the number of surplus potential patients. In addition, the modality selection unit may select a modality that matches the desired introduction condition of the desired medical institution.

  It is preferable to provide an introduction support receiving unit that receives an introduction support request including the address of the introduction desired medical institution and the modality desired to be introduced from the introduction desired medical institution. It is preferable that the introduction determination unit specifies the medical care area based on the address of the medical institution desired to be introduced.

  It is preferable that the disease occurrence information database and the number information database include an introduction support information database that stores electronic medical record information collected from a plurality of medical institutions.

  It is preferable to include an information collection unit that collects electronic medical record information from a plurality of medical institutions. The information collecting unit preferably collects statistical information from a national or local public entity. The information collecting unit preferably collects modality information from a modality manufacturer or sales agent.

  The modality introduction support method of the present invention accesses the disease occurrence information database that stores the number of actual patients suffering from disease for each region, and reads out the actual number of patients in the medical care area of the medical institution desired to introduce the modality. There is a possibility of accessing the statistical information database storing the statistical information for each region regarding the disease, reading the number of actual patients, reading the statistical information within the medical area, and receiving medical treatment due to the disease within the medical area. A potential patient number prediction step that predicts the number of potential patients based on the actual patient number and statistical information, and access to the unit information database that stores the number of modalities required for medical treatment of diseases stored in each region. , Read the number of introductions in the treatment area, and read the introduction number in the treatment area based on the number of introductions The surplus processing capacity specifying step that specifies the allowable patient number obtained by subtracting the actual patient number as the surplus processing capacity from the total number of patients that can be processed in If the number is more than the allowable number of patients, the recommended decision is made to recommend the introduction of the modality to the medical institution that wants to be introduced. If the number of potential patients is less than the allowable number of patients, the introduction of the modality is not recommended to the medical institution that wants to be introduced. An introduction determination step for making a recommendation determination.

  The modality introduction support program of the present invention includes a disease occurrence information database that stores the number of actual patients affected by a disease for each region, a statistical information database that stores statistical information for each region related to a disease, and a disease necessary for medical treatment of the disease. The number information database that stores the number of modalities introduced for each region, and the actual number of patients who are likely to receive medical treatment due to the disease in the medical service area of the medical institution wishing to introduce modalities. And a surplus that specifies the number of patients allowed by subtracting the number of actual patients from the total number of patients that can be processed by modality within the service area based on the number of introductions as surplus processing capacity. Compare the processing capacity identification section with the number of potential patients and the number of patients allowed, and if there are more patients than the number of patients allowed, The computer functions as an introduction decision unit that makes a recommended decision that recommends the introduction of modalities, and makes a non-recommended decision that does not recommend the introduction of modalities to a medical institution that wants to be introduced if the number of potential patients is less than the allowable number of patients. It is something to be made.

  According to the present invention, the possibility of receiving medical treatment in the medical area of a medical institution that wishes to introduce a modality is predicted, the number of potential patients is identified, and the allowable number of patients that is the surplus processing capability of the modality of the medical area is specified. Since the number of potential patients and the number of allowable patients are compared, the demand for the modality in the medical care area can be accurately predicted. As a result, the number of patients after introduction of the modality is less than the expected number of patients at the time of introduction study, and the lack of modality ability due to the number of patients after introduction of the modality is larger than the expected number of patients at the time of introduction study. Problems can be suppressed. In addition, since the demand for the modality can be accurately predicted, it can be used as a material for making a subsidy application to the national or local government for the introduction of the modality, for example.

  In addition, based on the comparison result between the number of potential patients and the allowable number of patients, it is determined whether or not the medical institution wishing to introduce the modality should introduce the modality. Even so, it is possible to obtain a reference for determining whether or not to introduce a modality.

  In addition, based on the morbidity rate information and population information in the service area, the expected number of patients who may be affected by the disease within the service area is identified, and the number of potential patients is predicted based on the estimated number of patients and the actual number of patients. The number of potential patients who can receive medical care in the medical service area can be accurately predicted.

  Furthermore, since the modality that the medical institution wishing to introduce is selected based on the number of potential patients and the allowable number of patients, it is a reference for selecting the modality even for medical institutions that have no experience of introducing modality or medical institutions that have little experience of introducing modality. Can be obtained.

It is the schematic which shows the structure of the medical network containing a modality introduction assistance device. It is explanatory drawing which shows the structure of an electronic medical record database. It is explanatory drawing which shows the structure of a disease occurrence information database. It is explanatory drawing which shows the structure of morbidity statistics information. It is explanatory drawing which shows the structure of demographic information. It is explanatory drawing which shows the structure of a modality information database. It is a block diagram which shows the structure of a modality introduction assistance apparatus. It is a block diagram which shows the functional structure of a modality introduction assistance device. It is explanatory drawing which shows the structure of the information of an introduction assistance request. It is the schematic which shows the specific procedure of the medical treatment area of an introduction hope hospital. It is explanatory drawing which shows the prediction method of the number of potential patients. It is explanatory drawing which shows the identification method of the allowable patient number. It is explanatory drawing which shows the case where there are more latent patient numbers than an allowable patient number. It is explanatory drawing which shows the case where the number of latent patients is smaller than the number of allowable patients. It is explanatory drawing which shows the modality introduction determination result display screen at the time of recommendation determination. It is explanatory drawing which shows the modality introduction determination result display screen at the time of a deprecation determination. It is a flowchart which shows the procedure of modality introduction assistance. It is a flowchart which shows the prediction procedure of the number of potential patients. It is a flowchart which shows the specific procedure of an allowable patient number. It is a flowchart which shows the introduction determination procedure of a modality. It is explanatory drawing which shows the structure of the statistical information database of 2nd Embodiment. It is explanatory drawing which shows the structure of the periodical health check information of 2nd Embodiment.

[First Embodiment]
As shown in FIG. 1, the modality introduction support device 10 of the present invention is a device for supporting the introduction of a modality by a medical institution such as a hospital and is installed in a data center 11. The modality introduction support apparatus 10 is connected to hospital networks of a plurality of hospitals including hospitals 13, 14, and 15 via a network 12. The network 12 includes a dedicated line having a higher information security level than a network such as the Internet and a communication network such as a VPN (Virtual Private Network). When the modality introduction support apparatus 10 receives a modality introduction support request from any hospital via the network 12, the modality introduction support device 10 starts modality introduction support for the hospital.

  The in-hospital network 13a of the hospital 13 includes a modality 18 for taking medical images, an image server 19 for managing medical images taken by the modality 18, an electronic medical record server 20 for managing electronic medical records, and input of electronic medical record information. A plurality of client terminals 21 used for browsing an electronic medical record and medical images are provided. These devices 18 to 21 are communicably connected via a local area network (LAN) 22. The LAN 22 is connected to the network 12.

  The modality 18 is, for example, a CR device, a DR device, a CT device, an endoscope, an ultrasonic diagnostic device, or the like. The CR device captures an X-ray image using an imaging plate coated with a photostimulable phosphor, scans the imaging plate after the imaging, and reads the X-ray image recorded on the imaging plate as electronic data It is. The DR apparatus is an apparatus that captures an X-ray image using a flat panel detector (FPD) in which pixels that accumulate signal charges according to the amount of incident X-rays are arranged in a matrix. An X-ray image is detected as electronic data by converting the signal charge accumulated every time into a voltage signal by a signal processing circuit. The CT apparatus is an apparatus for constructing on a computer a cross-sectional image of a body that is cut in a horizontal direction by detecting X-rays emitted while rotating around a patient's body with a detector on the opposite side.

  The image server 19 includes a computer in which an image server program is incorporated, and an image database (hereinafter referred to as an image DB) connected to the computer. A medical image taken by the modality 18 is transmitted to the image server 19 via the LAN 22. The image server 19 stores and manages the medical image received from the modality 18 in the image DB. In the medical image, information such as a patient ID is written as metadata by the modality 18. When there is a browsing request from the client terminal 21, the image server 19 searches the image DB based on the patient ID included in the browsing request, extracts a medical image, and transmits the extracted medical image to the client terminal 21. To do.

  The electronic medical record server 20 includes a computer in which an electronic medical record server program is incorporated, and an electronic medical record database (hereinafter referred to as an electronic medical record DB) connected to the computer. The electronic medical record information input at the client terminal 21 is transmitted to the electronic medical record server 20 via the LAN 22. The electronic medical record server 16 receives the electronic medical record information input at the client terminal 21, stores it in the electronic medical record DB, and manages it.

  As shown in FIG. 2, the electronic medical record DB 25 stores electronic medical record information 26 for each patient. The electronic medical record information 26 includes, for example, patient information related to a patient, medical information performed on a patient and medical information related to a hospital that performed the medical care, and examination information related to a medical image taken at the time of medical care.

  The patient information includes items such as patient name, patient ID, address, date of birth, age, sex, and past medical condition. The medical information includes, for example, items such as medical date and time, medical department, name of wound, diagnosis result, treatment period, prescription content, doctor in charge, hospital name, and hospital address. The name of a medical department such as internal medicine or surgery is stored in the item of the medical department. For example, when there are a plurality of medical departments of the same type, such as a first internal medicine and a second internal medicine, in the hospital, the first internal medicine or the second internal medicine is stored in the item of the medical care department. The examination information includes, for example, items such as examination date and time, examination equipment, examination method, examination site, and medical image. In the item of the inspection device, for example, the model name of the modality used for taking a medical image is stored. Further, the medical image item stores image information of the medical image.

  When receiving the browsing request from the client terminal 21, the electronic medical record server 20 searches the electronic medical record DB 25 based on the patient ID included in the browsing request, extracts the corresponding electronic medical record information 26, and extracts the extracted electronic medical chart information. 26 is transmitted to the client terminal 21.

  The client terminal 21 is a computer in which a program for creating electronic medical record information and browsing electronic medical records and medical images is installed. The client terminal 21 includes an input device for inputting electronic medical chart information, a display for browsing the electronic medical chart and medical images, and a CPU for operating a program for creating and browsing electronic medical chart information. . The input device is, for example, a keyboard or a mouse.

  The client terminal 21 transmits the electronic medical record information input by operating the input device to the electronic medical record server 20. When browsing the electronic medical chart or medical image on the client terminal 21, the browsing request including the patient ID is transmitted from the client terminal 21 to the electronic medical record server 20 or the image server 19. In response to this browsing request, when the electronic medical record information 20 is transmitted from the electronic medical record server 20 or the medical image is transmitted from the image server 19 to the client terminal 21, the client terminal 21 is electronically displayed on the display by the browsing program. Display medical records or medical images so that they can be viewed.

  As with the hospital 13, the hospital 14 and the hospital 15 each have a hospital network including a modality 18, an image server 19, an electronic medical record server 20, a client terminal 21, and a LAN 22. The in-hospital networks of the hospital 14 and the hospital 15 are connected to the modality introduction support apparatus 10 via the network 12 by the LAN 22.

  In the present embodiment, the hospitals 13 to 15 are illustrated, but actually, more hospital networks are connected to the modality introduction support apparatus 10. Many hospitals connected to the modality introduction support apparatus 10 have an in-hospital network consisting of at least an electronic medical record server 20, a client terminal 21, and a LAN 22, as in the hospitals 13 to 15. The types and number of modalities that are available vary from hospital to hospital, including hospitals that do not have modalities.

  The electronic medical record servers 20 of a plurality of hospitals including the hospitals 13 to 15 transmit the input electronic medical record information to the modality introduction support apparatus 10 via the network 12 when the electronic medical record information is input from the client terminal 21. To do.

  The modality introduction support apparatus 10 includes an introduction support information database (hereinafter referred to as introduction support information DB) 29, a statistical information database (hereinafter referred to as statistical information DB) 30, and a modality information database (hereinafter referred to as modality information DB) 31. Yes.

  As shown in FIG. 3, the introduction support information DB 29 constitutes a disease occurrence information database and a number information database of the present invention. The introduction support information DB 29 specifies the occurrence position information for identifying the occurrence position of the disease and the occurrence date and time of the disease from the electronic medical record information 26 received from the respective electronic medical record servers 20 of a plurality of hospitals including the hospitals 13 to 15. Stored in association with the occurrence date and time information. The occurrence position information is registered, for example, by extracting the patient's current address or the hospital address from the electronic medical record information 26. The occurrence date and time information is registered by extracting the examination date and time or the examination date and time from the electronic medical record information 26.

  As shown in FIG. 1, morbidity statistical information 34 and demographic information 35 are stored in the statistical information DB 30. As shown in FIG. 4, the disease rate statistical information 34 includes a plurality of disease-specific statistical information 36 a to 36 c classified for each disease name. The disease-specific statistical information 36a to 36c is classified by year such as 2012 and 2011. For example, the disease-specific statistical information 36a on lung cancer stores statistical information on the morbidity rate of men and women by age in each region in Japan such as prefectures and major cities. The other disease-specific statistical information 36b, 36c has the same configuration as the disease-specific statistical information 36a, and thus detailed description thereof is omitted. Further, although only three types of lung cancer, stomach cancer, and laryngeal cancer are shown as disease-specific statistical information, actually, disease-specific statistical information for many diseases is stored in the statistical information DB 30.

  The morbidity can be roughly divided into prevalence and morbidity. The prevalence represents the ratio of the number of patients at a specific time point and is proportional to the prevalence period. Since the prevalence is a static value, it is suitable for grasping the morbidity of chronic diseases, and the morbidity can be grasped macroscopically. In addition, the morbidity rate represents the rate of occurrence over a certain period, and is inversely proportional to the prevalence period. Since the morbidity is a dynamic value, it is suitable for grasping acute diseases, and the morbidity can be grasped microscopically. Prevalence is determined by morbidity times prevalence. In this embodiment, the prevalence rate is used because it is used for studying introduction of a medical device that is continuously used as a modality. Instead of prevalence, morbidity may be used.

  As shown in FIG. 5, the demographic information 35 stores gender demographic information by age in each region in Japan, such as prefectures and major cities. Demographic information is classified by year, such as 2012 and 2011.

  Each piece of statistical information stored in the statistical information DB 30 is published on the homepage of a national or local public organization, such as the Ministry of Health, Labor and Welfare, the National Institute of Infectious Diseases, the local health center or the sanitation laboratory. The modality introduction support apparatus 10 accesses the homepages of these countries or local public bodies and automatically collects various statistical information such as morbidity statistical information 34 and demographic information 35.

  As shown in FIG. 6, the modality information DB 31 includes a plurality of types of modality information 38 a to 38 c classified according to the type of modality, such as a DR device or a CR device. For example, in the type-specific modality information 38a related to the DR device, currently sold DR devices are classified by manufacturer, and various types of information such as model name, price, processing capability, function, installation area, and weight of each DR device are stored. Has been. The processing capability of the DR device is the number of medical images that can be taken per unit time. The function of the DR apparatus is a function provided in addition to simple X-ray imaging, such as moving image shooting, long-length shooting, and tomosynthesis imaging. The other CR device and CT device type-specific modality information 38b, 38c has the same configuration as the DR device type-by-type modality information 38a, and a detailed description thereof will be omitted. Further, only three types of modality information by type, ie, a DR device, a CR device, and a CT device are illustrated, but in reality, information on a number of modality devices such as an endoscope and an ultrasonic diagnostic device is stored in the modality information DB 31. Stored.

  The type-specific modality information 38a to 38c stored in the modality information DB 31 is, for example, published on the homepage of a modality manufacturer or sales agent. The modality introduction support apparatus 10 accesses the homepages of these manufacturers and sales agents, and automatically collects each type of modality information 38a to 38c.

  As shown in FIG. 7, the modality introduction support apparatus 10 is based on a computer such as a personal computer or a workstation, and a control program such as an operating system or an application program (AP for causing the computer to function as the modality introduction support apparatus 10. ) 41 is installed and configured. The modality introduction support device 10 includes a console 42 including a display, a keyboard, a mouse, and an input device such as a touch panel integrated with the display, and a computer main body.

  The computer main body of the modality introduction support apparatus 10 is provided with a CPU 44, a memory 46, a storage device 47, and a communication I / F 48, which are connected via a data bus 49.

  The storage device 47 is a device that stores various types of data, and includes, for example, a hard disk drive. The storage device 47 stores an application program (AP) 41 such as a control program or a medical care management reservation program.

  The memory 46 is a work memory for the CPU 45 to execute processing. The CPU 45 centrally controls each part of the computer by loading the control program stored in the storage device 47 into the memory 46 and executing processing according to the program. The communication I / F 48 is a communication interface for connecting to the network 12 and communicating with the hospital networks of the hospitals 13 to 15. Further, the communication I / F 48 also functions as a communication interface that is communicably connected to the data server 51 in which the introduction support information DB 29, the statistical information DB 30, and the modality information DB 31 are constructed via a LAN or the like. The data server 51 is an external storage device. Of course, the introduction support information DB 29, the statistical information DB 30, and the modality information DB 31 may be built in the storage device 47.

  As shown in FIG. 8, when the modality introduction support program is activated, the CPU 45 of the modality introduction support apparatus 10 cooperates with the memory 46 to collect the information collection unit 54, DB access unit 55, introduction determination unit 56, modality selection unit. 57 functions.

  The information collection unit 54 receives a plurality of electronic medical record information 26 from each electronic medical record server 20 of a plurality of hospitals including the hospitals 13 to 15. The information collecting unit 54 accesses homepages of national or local public organizations such as the Ministry of Health, Labor and Welfare, the National Institute of Infectious Diseases, local health centers and sanitation laboratories, etc., and the morbidity statistics information 34, demographic information 35, etc. Automatic collection of various statistical information. The information collection unit 54 accesses a homepage of a modality manufacturer, a sales agent, or the like, and automatically collects each type of modality information 38a to 38c.

  The DB access unit 55 accesses the introduction support information DB 29, the statistical information DB 30, and the modality information DB 31, and updates and reads the electronic medical record information, various statistical information, and the modality information. When the information collection unit 54 instructs the DB access unit 55 to store the electronic medical record information 26, the DB access unit 55 associates the electronic medical record information 26 with the occurrence position information and the generation time information extracted from the electronic medical record information 26, thereby supporting introduction. Store in the information DB 29. Further, when the information collection unit 54 instructs the DB access unit 55 to store the disease rate statistical information 34 or the demographic information 35, the DB access unit 55 stores the disease rate statistical information 34 or the demographic information 35 in the statistical information DB 30. Further, when the information collection unit 54 instructs the DB access unit 55 to store the type-specific modality information, the DB access unit 55 stores the type-specific modality information in the modality information DB 31.

  The DB access unit 55, when instructed to read out the electronic medical record information and statistical information of the predetermined area from the introduction determining unit 56, from the introduction support information DB 29 and the statistical information DB 30, the electronic medical record information of the predetermined area, the disease rate The statistical information 34 and the demographic information 35 are read out. Further, when reading of the type-specific modality information is instructed from the modality selection unit 57, the DB access unit 55 reads the instructed type-specific modality information from the modality information DB 31.

  The introduction determination unit 56 includes an introduction support reception unit 60, a potential patient number prediction unit 61, and a surplus processing capability identification unit 62. The introduction support reception unit 60 receives an introduction support request ISR from a client terminal 21 from a hospital where introduction of a modality is desired among the plurality of hospitals including the hospitals 13 to 15, for example, the hospital 14. As shown in FIG. 9, the introduction support request ISR includes an address 64a of the hospital desired to be introduced and an introduction condition 64b that the hospital wishing to introduce wishes to introduce a modality. The introduction condition 64b is, for example, a type of modality desired to be introduced, such as a CR device or a DR device, and a price, processing capability, function, weight, installation area, and the like. In addition, for the introduction condition 64b, when selecting the modality recommended for introduction to the hospital where introduction is desired, the modality is selected based on the number of potential patients existing in the medical area of the hospital where introduction is desired, or registered in the introduction condition 64b. A modality selection condition that specifies whether to select a modality based on the specified condition is also included.

  The introduction determination unit 56 identifies the medical care area CS of the hospital where the introduction is desired based on the address 64a of the introduction support request ISR. The medical care area is a geographical area where a patient visits a hospital for introduction. As illustrated in FIG. 10, the introduction determination unit 56 sets, for example, a range from a radius of several kilometers to several tens of kilometers as the medical area CS with the address of the hospital 14 that is a hospital desired to be introduced as the center. The actual medical service area CS of a hospital changes depending on various factors such as the presence of public transportation to the hospital, road conditions, the number of hospitals, etc. as well as the linear distance to the hospital. The medical care area CS may be specified in consideration.

  As shown in FIG. 11, the potential patient number predicting unit 61 predicts the number of potential patients LP that need medical treatment based on the desired modality type from the total population in the clinical service area CS of the hospital that wants to be introduced. The number of potential patients LP is the number of potential patients who are not currently receiving medical care by a modality but who may receive medical care in the future. The potential patient number predicting unit 61 uses the morbidity statistics information 34 and the population clock information 35 in the statistical information DB 30 to determine the morbidity SR by gender for each age of the illness that requires medical treatment according to the desired modality type in the clinical sphere CS. The population information PI by gender for each age within the medical treatment area is read out. The potential patient number predicting unit 61 calculates the estimated number of patients AP based on the disease rate SR and the population information PI read from the statistical information DB 30. The assumed number of patients AP is the number of patients who are likely to suffer from illness in the medical service area.

  The potential patient number predicting unit 61 searches the electronic medical record information 26 of the introduction support information DB 29 which is a disease occurrence information database, and has already received medical care in the medical care area CS by the same kind of modality as the introduction desired modality type. The number of patients SP is extracted. The potential patient number predicting unit 61 subtracts the actual patient number SP from the assumed patient number AP to calculate the potential patient number LP in the medical area CS.

  As shown in FIG. 12, the surplus processing capability specifying unit 62 of the introduction determining unit 56 specifies the allowable number of patients MP that can be processed by the surplus processing capability of the introduced modality in the medical care area CS. The surplus processing capability specifying unit 62 specifies the total number of patients PP that can be processed with the introduced modality in the medical care area CS based on the electronic medical record information 26 of the introduction support information DB 29. The total number of patients PP is specified based on, for example, the number of clinical departments CD having modalities already introduced in the medical care area CS, the number of introduced modalities MN, and the operating rate RO. The number of medical departments CD, the number of introduced modalities MN, and the operation rate RO are specified from the electronic medical record information 26 of the introduction support information DB 29 that is a number information database. The surplus processing capability specifying unit 62 subtracts the above-described actual patient number SP from the total patient number PP to calculate the allowable patient number MP.

  The introduction determination unit 56 compares the number of potential patients LP predicted by the number of potential patients prediction unit 61 with the allowable number of patients MP calculated by the surplus processing capability specifying unit 62, so that the hospital where the introduction is desired should introduce the modality. It is determined whether or not. As illustrated in FIG. 13, when the number of potential patients LP is larger than the allowable number of patients MP, the introduction determination unit 56 makes a recommendation determination that recommends introduction of a modality to a hospital where introduction is desired because there is a demand for modality. . In addition, as shown in FIG. 14, the introduction determination unit 56 does not recommend the introduction of the modality to the hospital where the introduction is desired because there is no demand for the modality when the number of potential patients LP is smaller than the allowable number of patients MP. Make a decision.

  When the recommended determination is made, the introduction determination unit 56 subtracts the allowable number of patients MP from the number of potential patients LP as shown in FIG. 13, and the number of surplus potential patients that cannot be processed with the current introduced modality. SLP is calculated (S33). Next, the introduction determination unit 56, based on the surplus potential patient number SLP, the number of clinical departments CD1 necessary for processing the surplus potential patient number SLP in the hospital area of the introduction desired hospital, the number MN1 of the introduction desired modality types, Is identified. The number of clinical departments CD1 and the number of desired modality types MN1 are obtained on the assumption that, for example, a desired modality type having an average processing capability is operated at a standard operating rate within a predetermined period. It is done.

  When the recommendation determination is made by the introduction determination unit 56, the modality selection unit 57 searches the modality information DB 31 and selects a modality that recommends introduction to the hospital where introduction is desired. The modality selection unit 57 selects a modality based on the modality selection condition of the introduction condition 64b of the introduction support request ISR. When the modality selection condition specifies that selection is based on the number of potential patients, the modality selection unit 57 selects a modality capable of processing the surplus potential patient number SLP. In the modality selection condition, when it is specified to select based on the introduction condition 64b, the modality selection unit 57 selects a modality that matches each condition of the introduction condition 64b.

  The introduction determination unit 56 transmits the introduction determination result to the client terminal 21 of the hospital where introduction is desired. When the introduction determination result is a recommended determination, together with the introduction determination result, the number of assumed patients AP, the number of actual patients SP, the number of potential patients LP, the number of allowable patients MP, and the number of surplus potential patients SLP The number of clinical departments CD1 and the number of modalities MN1 necessary for processing the number SLP, and the manufacturer name and model name of the modality selected by the modality selection unit 57 are transmitted to the client terminal 21 of the hospital where introduction is desired. When the introduction determination result is a non-recommended determination, the assumed patient number AP, the actual patient number SP, the potential patient number LP, and the allowable patient number MP are transmitted to the client terminal 21 of the hospital where the introduction is desired, together with the introduction determination result. Is done.

  As shown in FIGS. 15 and 16, an introduction determination result display screen is displayed on the display of the client terminal 21 of the hospital where the introduction is desired that has received the introduction determination result from the modality introduction support apparatus 10. The introduction determination result display screen 67 at the time of recommendation determination displays a determination result 69, a determination reason 70, recommended modality information 71 regarding a modality recommended for introduction, and determination result details 72 such as an assumed number of patients AP. In addition, a determination result 75, a determination reason 76, and a determination result detail 77 are displayed on the introduction determination result display screen 74 at the time of deprecation determination. The introduction determination result display screen 74 at the time of non-recommendation determination is different from the introduction determination result display screen 67 at the time of recommendation determination. The recommended modality information, the number of surplus potential patients SLP, the number of clinical departments CD1, and the modality The number MN1 etc. is not displayed.

  Hereinafter, the operation of the modality introduction support apparatus 10 will be described with reference to the flowcharts shown in FIGS. The modality introduction support apparatus 10 receives introduction support requests from a plurality of hospitals including the hospitals 13 to 15 by the introduction support reception unit 60 shown in FIG. 8 (S10). For example, the modality introduction support apparatus 10 that has received the introduction support request from the hospital 14 specifies the medical care area CS of the hospital 14 based on the hospital address of the introduction support request ISR shown in FIG. ). As shown in FIG. 10, the medical service area CS of the hospital 14 is set with a radius of several kilometers to several tens of kilometers around the address of the hospital 14.

  The potential patient number predicting unit 61 of the introduction determining unit 56 predicts the number of potential patients LP that require medical treatment by the type of modality desired to be introduced within a predetermined period in the medical area CS of the hospital where the introduction is desired (S12). As shown in FIG. 18, the potential patient number predicting unit 61 instructs the DB access unit 55 to search the morbidity statistics information 34 in the statistical information DB 30, and introduces the desired modality in the medical service area CS of the desired hospital. The disease rate SR for each gender of each age of the disease requiring medical treatment by species is specified (S20). Next, the potential patient number predicting unit 61 instructs the DB access unit 55 to search the demographic information 35 in the statistical information DB 30 and to obtain the demographic information PI by gender for each age in the medical area CS of the hospital to which introduction is desired. Extract (S21).

  The potential patient number predicting unit 61 multiplies the disease rate SR in the clinical area CS extracted from the statistical information DB 30 by the population information PI, and assumes the number of expected patients expected to use the desired modality species in the clinical area CS. AP is calculated (S22). The potential patient number prediction unit 61 instructs the DB access unit 55 to search the electronic medical record information 26 of the introduction support information DB 29 and has the same type of modality as the type of modality desired to be introduced in the hospital area CS of the hospital where the introduction is desired. The actual number of patients SP who are receiving medical care according to the introduced modality is extracted (S23). Next, the potential patient number prediction unit 61 subtracts the actual patient number SP from the assumed patient number AP to calculate the number of potential patients LP that may be affected by the disease in the medical area CS (S24).

  As shown in FIG. 17, the surplus processing capability specifying unit 62 of the introduction determining unit 56 can process the surplus processing capability of the introduced modality of the same type as the desired modality type that has been introduced in the medical area CS of the hospital where the introduction is desired. An allowable patient number MP is identified (S13). As shown in FIG. 19, the surplus processing capability specifying unit 62 instructs the DB access unit 55 to search the electronic medical record information 26 of the introduction support information DB 29, and the introduced modality in the medical area CS of the hospital where introduction is desired. The number of clinical departments CD, the number of introduced modalities MN, and the operating rate RO are specified (S30). The surplus processing capability specifying unit 62 specifies the total number of patients PP that can be processed with the introduced modality in the clinical area based on the number of clinical departments CD in the medical area, the number MN of the introduced modalities, and the operating rate RO thereof. (S31). The surplus processing capacity specifying unit 62 subtracts the above-mentioned actual patient number SP from the total patient number PP, and calculates the allowable patient number MP that can be processed by the surplus processing capacity of the introduced modality (S32).

  As shown in FIG. 17, the introduction determination unit 56 requests introduction based on the potential patient number LP predicted by the potential patient number prediction unit 61 and the allowable patient number MP calculated by the surplus processing capability specifying unit 62. Modality introduction determination is performed (S14). As shown in FIG. 20, the introduction determination unit 56 compares the number of potential patients LP with the number of allowable patients MP (S40). When the number of potential patients LP is larger than the allowable number of patients MP (YES in S40), the introduction determination unit 56 performs a recommendation determination that recommends introduction of the desired modality type (S41). In addition, when the number of potential patients LP is smaller than the allowable number of patients MP (NO in S40), the introduction determination unit 56 performs a non-recommendation determination that does not recommend introduction of the desired modality type (S42).

  When making the recommendation determination, the introduction determination unit 56 subtracts the allowable patient number MP from the potential patient number LP to calculate the surplus potential patient number SLP that cannot be processed with the current introduced modality (S43). . Next, the introduction determination unit 56, based on the surplus potential patient number SLP, the number of clinical departments CD1 necessary for processing the surplus potential patient number SLP in the hospital area of the introduction desired hospital, the number MN1 of the introduction desired modality types, Is specified (S44). The number of clinical departments CD1 and the number of desired modality types MN1 are obtained on the assumption that, for example, a desired modality type having an average processing capability is operated at a standard operating rate within a predetermined period. It is done.

  In addition, when the recommendation determination is made by the introduction determination unit 56, the modality selection unit 57 selects a modality that recommends introduction to the hospital that wants to introduce based on the modality selection condition of the introduction condition 64b of the introduction support request ISR (S45). ). As illustrated in FIG. 17, the introduction determination unit 56 transmits the introduction determination result to the client terminal 21 of the hospital where introduction is desired (S15).

  An introduction determination result display screen is displayed on the display of the client terminal 21 of the hospital where introduction is desired. As shown in FIG. 15, the introduction determination result display screen 67 at the time of recommendation determination includes a determination result 69, a determination reason 70, recommended modality information 71 regarding a modality recommended for introduction, and a determination result detail 72 such as an assumed number of patients AP. Is displayed. Also, as shown in FIG. 16, a determination result 75, a determination reason 76, and a determination result detail 77 are displayed on the introduction determination result display screen 74 at the time of deprecation determination. The person in charge of introducing the modality of the hospital that wishes to introduce can refer to the information displayed on the introduction determination result display screens 67 and 74 and examine whether or not to introduce the modality and select the modality.

  As described above, the modality introduction support apparatus 10 according to the present embodiment may receive medical care in the hospital area CS of the hospital where the modality is desired when receiving an introduction support request from the hospital where the modality is desired to be introduced. The potential patient number LP is predicted, the allowable patient number MP that is the surplus processing capability of the modality introduced in the clinical zone CS is identified, and the potential patient number LP is compared with the allowable patient number MP. Can be accurately predicted. As a result, the number of patients after introduction of the modality is less than the expected number of patients at the time of introduction study, and the lack of modality ability due to the number of patients after introduction of the modality is larger than the expected number of patients at the time of introduction study. Problems can be suppressed. In addition, since the demand for the modality can be accurately predicted, it can be used as a material for making a subsidy application to the national or local government for the introduction of the modality, for example.

  In addition, since it is possible to determine whether or not the hospital in which introduction is desired should introduce a modality based on the comparison result between the number of potential patients LP and the allowable number of patients MP, there is no introduction experience or little introduction experience of the modality. Even hospitals that wish to introduce can obtain a reference for judging whether or not to introduce a modality.

  Further, based on the morbidity rate SR and population information PI of the medical area CS, the assumed number of patients AP that may be affected in the medical area CS is identified, and based on the assumed number of patients AP and the actual number of patients SP. Since the number of potential patients LP is predicted, the number of potential patients LP can be predicted with high accuracy with the possibility of receiving medical care in the service area CS.

  Furthermore, since the modality to be introduced by the hospital wishing to be introduced is selected based on the number of potential patients LP and the allowable number of patients MP, even if the hospital has no experience in introducing modality or has little experience in introducing modality, Reference for selection can be obtained.

[Second Embodiment]
In the first embodiment, in order to predict the number of potential patients within the service area, the disease rate SR within the service area is specified based on the disease rate statistical information 34 collected from the national or local public body. The form is different from the first embodiment in that the disease rate SR is specified based on the regular health check information instead of the disease rate statistical information 34. In addition, description is abbreviate | omitted about a common part with 1st Embodiment, and it demonstrates centering around difference.

  As shown in FIG. 21, the modality introduction support apparatus 10 of the present embodiment stores regular health check information 80 in the statistical information DB 30. As shown in FIG. 22, the regular health check information 80 is information related to the regular health check performed in each region of the prefecture, and is classified by year and region. The regular medical checkup information 80 stores the total number of persons who have undergone a periodic medical checkup in the predetermined area and the number of persons who have found abnormalities in the medical checkup among the total number of persons who have undergone a medical checkup. Since the regular health checkup information 80 is published on the homepage of the Ministry of Health, Labor and Welfare or the public organizations related to insurance hygiene in each region, it can be automatically collected by the information collection unit 54.

  The potential patient number prediction unit 61 of the modality introduction support device 10 shown in FIG. 8 determines the morbidity SR in order to predict the number of potential patients LP in a predetermined clinical area CS, and includes the total amount of the periodic health check information 80. The disease rate SR is calculated based on the ratio of the number of founders to the number of examinees. For example, in the Hokkaido table 81 of the periodic health check information 80 shown in FIG. 22, the total number of examinees in Sapporo City is “354686” and the number of founders is “63981”. , “About 18%”. This morbidity SR is used for predicting the number of potential patients LP in the potential patient number predicting unit 61 as in the first embodiment.

  According to this embodiment, since the morbidity rate SR is specified based on the number of people who are found to be abnormal, it is possible to improve the prediction accuracy of the number of potential patients LP predicted based on the morbidity rate SR. it can. Further, since the procedure for specifying the disease rate SR is simplified as compared with the first embodiment, processing can be performed at high speed.

  In each of the above embodiments, the number of modalities introduced is specified from the electronic medical record information, but a number information database storing the manufacturer, model name, number, etc. of the modalities introduced in each medical institution in each region is created. In addition, modality introduction determination may be performed based on the number information database.

10 Modality introduction support device 11 Data center 12 Network 13-15 Hospital 26 Electronic medical record information 29 Introduction support information DB
30 Statistical information DB
31 Modality information DB
34 Disease rate statistical information 35 Demographic information 54 Information collection unit 56 Introduction determination unit 57 Modality selection unit 60 Introduction support reception unit 61 Potential patient number prediction unit 62 Surplus processing capacity identification unit 64a Hospital address 64b Introduction conditions 80 Regular health checkup information ISR Request for introduction CS Service area AP Expected number of patients SP Actual number of patients LP Potential number of patients PP Total number of patients MP Allowable number of patients SLP Number of surplus potential patients

Claims (16)

A disease occurrence information database that stores the number of actual patients affected by the disease for each region;
A statistical information database storing statistical information for each region related to the disease;
A unit information database in which the number of modalities required for medical treatment of the disease is stored for each region;
Potential patient number potential patient is a human number, the care and the actual number of patients of the medical Situated could receive medical treatment by the disease in clinic distance of introducing desired medical institution wishing to introduce the modalities a patient potential number prediction unit that predicts, based on the statistics within,
The surplus processing capacity is determined by subtracting the number of actual patients in the medical area from the total number of patients that can be processed by the modality in the medical area, which is calculated based on the number of introductions in the medical area. A surplus processing capacity identifying unit;
Comparing the number of potential patients with the number of allowable patients, if the number of potential patients is larger than the number of allowable patients, a recommendation determination is made to recommend introduction of the modality to the medical institution that wants to be introduced, and the potential A modality introduction support apparatus, comprising: an introduction determination unit that performs a non-recommendation determination that does not recommend introduction of the modality to the introduction-desired medical institution when the number of patients is smaller than the allowable number of patients. The statistical information includes morbidity statistical information for each region related to the disease, and demographic information for each region,
The potential patient number prediction unit calculates the number of assumed patients who may have the disease in the medical area based on the disease rate statistical information and the demographic information of the medical area, and the number of assumed patients The modality introduction support apparatus according to claim 1, wherein the number of patients obtained by subtracting the number of actual patients from the number is calculated as the number of potential patients.   The statistical information includes periodic health check statistical information that stores the total number of patients who have undergone a periodic health check for each region, and the number of people who have found abnormalities among the total number of check-ups, 3. The modality introduction support apparatus according to claim 2, wherein the morbidity statistical information is obtained from a ratio of the number of founders with respect to the total number of patients in the medical area. The number information database, with the introduction quantity of the modality, and stores the operating rate of the modality, the department number where the modality is introduced,
The said surplus processing capacity specific | specification part specifies the said total patient number based on the introduction number and operation rate of the said modality, and the said number of departments, The Claim 1 characterized by the above-mentioned. Modality introduction support device.   When the recommended determination is performed, the introduction determination unit calculates a surplus potential patient number obtained by subtracting the allowable patient number from the potential patient number, and is necessary for processing the surplus potential patient number within the medical care area. The modality introduction support apparatus according to any one of claims 1 to 4, wherein the number of medical departments and the number of the modalities are specified. A modality information database in which information on multiple types of modalities is registered;
A modality selection unit that searches the modality information database and selects a modality that is recommended for introduction to the introduction-desired medical institution when the recommendation determination is performed by the introduction determination unit; The modality introduction support apparatus according to claim 5.   The modality introduction support apparatus according to claim 6, wherein the modality selection unit selects a modality capable of processing the number of surplus potential patients.   The modality introduction support apparatus according to claim 6 or 7, wherein the modality selection unit selects a modality that matches an introduction desired condition of the introduction desired medical institution.   9. The apparatus according to claim 1, further comprising an introduction support reception unit that receives an introduction support request including an address of the introduction request medical institution and a modality desired to be introduced from the introduction request medical institution. The described modality introduction support device.   The modality introduction support apparatus according to claim 9, wherein the introduction determination unit identifies the medical care area based on an address of the introduction desired medical institution.   The modality introduction according to any one of claims 1 to 10, wherein the disease occurrence information database and the number information database include an introduction support information database that stores electronic medical record information collected from a plurality of medical institutions. Support device.   The modality introduction support apparatus according to claim 11, further comprising an information collection unit that collects the electronic medical record information from a plurality of the medical institutions.   13. The modality introduction support apparatus according to claim 12, wherein the information collection unit collects the statistical information from a national or local public organization.   The modality introduction support apparatus according to claim 12 or 13, wherein the information collection unit collects information on the modality from a manufacturer or a sales agent of the modality. The actual patient number reading step of accessing the disease occurrence information database storing the number of actual patients suffering from the disease for each region, and reading the actual patient number within the medical treatment area of the medical institution desired to introduce the modality,
A statistical information reading step of accessing a statistical information database storing statistical information for each region related to the disease and reading the statistical information in the medical area;
Wherein the number of potential patients potential is a human number of patients that may receive medical treatment by the disease in clinic within, predicted based on the statistical information of the medical Situated between the actual number of patients of the medical within potential Predicting the number of patients;
The introduction number reading step of accessing the number information database in which the number of modalities necessary for medical treatment of the disease is stored for each region and reading the number of introductions in the medical area;
The surplus processing capacity is determined by subtracting the number of actual patients in the medical area from the total number of patients that can be processed by the modality in the medical area, which is calculated based on the number of introductions in the medical area. Surplus processing capacity identification step;
Comparing the number of potential patients with the number of allowable patients, if the number of potential patients is larger than the number of allowable patients, a recommendation determination is made to recommend introduction of the modality to the medical institution that wants to be introduced, and the potential A modality introduction support method, comprising: an introduction determination step of performing a non-recommendation determination that does not recommend the introduction of the modality to the introduction-desired medical institution when the number of patients is smaller than the allowable number of patients. A disease occurrence information database that stores the number of actual patients affected by the disease for each region;
A statistical information database storing statistical information for each region related to the disease;
A unit information database in which the number of modalities required for medical treatment of the disease is stored for each region;
Potential patient number potential patient is a human number, the care and the actual number of patients of the medical Situated could receive medical treatment by the disease in clinic distance of introducing desired medical institution wishing to introduce the modalities a patient potential number prediction unit that predicts, based on the statistics within,
The surplus processing capacity is determined by subtracting the number of actual patients in the medical area from the total number of patients that can be processed by the modality in the medical area, which is calculated based on the number of introductions in the medical area. A surplus processing capacity identifying unit;
Comparing the number of potential patients with the number of allowable patients, if the number of potential patients is larger than the number of allowable patients, a recommendation determination is made to recommend introduction of the modality to the medical institution that wants to be introduced, and the potential Modality introduction support, wherein the computer functions as an introduction determination unit that performs a non-recommendation determination that does not recommend the introduction of the modality to the medical institution desired to be introduced when the number of patients is smaller than the allowable number of patients. program.

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