Patient information provision system and patient information provision method

Abstract

By centralizing patient information, it becomes possible to access patient-specific medical records, medical fees, and other events in a unified manner. [Solution] The patient information provision system 1 is a system that provides information useful for the management of a medical institution 320 to a medical institution 320, and includes a storage 303 that stores a patient behavior history database 100 which records information about events related to the patient on a patient-by-patient basis, created using medical institution information about the medical institution 320, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the date of admission, discharge and / or outpatient visits of the patient, surgery / medical information indicating the content of surgery and / or medical treatment performed on the patient, and detail information indicating the details of surgery and / or medical treatment performed on the patient; and a processor 301 that uses the patient behavior history database 100 to generate information indicating management indicators useful for the management of the medical institution 320 and provides it to the medical institution 320, and / or generates information indicating indicators for the utilization of medical resources of the medical institution 320 and provides it to the medical institution 320.

Description

Technical Field

[0001] The present invention relates to a patient information providing system and a patient information providing method.

Background Art

[0002] In the abstract of Patent Document 1, "The patient information providing server 10 presents predetermined search items stored in the in-hospital information index DB 11 to the user terminal 50, and in response to a search request specifying a plurality of selected search items from the presented predetermined search items and item conditions indicating respective extraction conditions for each search item, obtains information on patients who satisfy the specified item conditions for the specified search items from a plurality of management servers that manage patient information related to the specified search items, and based on the obtained information, identifies all-condition matching patient information (patient information in the search result) indicating information on patients who satisfy all the item conditions for each of the plurality of search items specified in the search request (for example, step S107), and transmits the identified all-condition matching patient information as the patient information in the search result", whereby a patient information providing server that "smoothly provides necessary patient information without collectively managing the patient information that is distributedly managed" is disclosed.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] As stated in paragraph 0005 of Patent Document 1, "However, in conventional systems, when patient information is managed by type for the purpose of improving operational efficiency, various types of patient information are managed in a dispersed manner by each department in charge, making it difficult to extract and provide only the necessary patient information." In other words, patient information is not centrally managed, making it difficult for hospital administrators and others to obtain the necessary information.

[0005] Therefore, the present invention aims to provide a patient information provision system and a patient information provision method that enable centralized management of patient information and allows for centralized referencing of patient medical records, medical fees, and other events on a patient-by-patient basis. [Means for solving the problem]

[0006] A patient information provision system according to one aspect of the present invention is a patient information provision system that provides information useful for the management of medical institutions to medical institutions, and comprises a storage unit that stores a patient behavior history database which records information on events related to a patient on a patient-by-patient basis, created using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the date of admission, discharge and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of surgery and / or medical treatment performed on the patient, and detail information indicating the details of surgery and / or medical treatment performed on the patient; and a processing unit that uses the patient behavior history database to generate information indicating management indicators useful for the management of medical institutions and / or generates information indicating indicators for the utilization of medical resources of medical institutions and / or provides such information to medical institutions.

[0007] Furthermore, a patient information provision method according to one aspect of the present invention is a patient information provision method that provides information useful for the management of medical institutions to medical institutions, comprising: creating a patient behavior history database that stores information on events related to a patient on a patient-by-patient basis using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the date of admission, discharge and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of surgery and / or medical treatment performed on the patient, and detail information indicating the details of surgery and / or medical treatment performed on the patient; and using the patient behavior history database, generating information indicating management indicators useful for the management of medical institutions and providing it to medical institutions, and / or generating information indicating indicators for the utilization of medical resources of medical institutions and providing it to medical institutions. [Effects of the Invention]

[0008] According to the present invention, patient information can be centrally managed, and patient medical records, medical fees, and other events can be centrally referenced on a patient-by-patient basis. This will enable healthcare institutions to visualize the extent to which they are utilizing their medical resources, as well as the revenue that patients and collaborating healthcare institutions bring to their institutions. [Brief explanation of the drawing]

[0009] [Figure 1] Diagram showing an overview of the patient behavior history database. [Figure 2] This diagram shows the basic database and its datasets that make up the patient behavior history database. [Figure 3] Hardware block diagram of a patient management system with a patient behavior history database. [Figure 4] Diagram showing details of the patient behavior history database. [Figure 5] Diagram explaining each column that makes up the patient behavior history database. [Figure 6] This figure shows the results of data analysis performed using a patient behavior history database. [Figure 7A] Image example related to outpatient revenue points output using patient behavior history database [Figure 7B] Image example related to outpatient revenue points (only follow-up visits) output using the patient behavior history DB [Figure 7C] Image example related to outpatient revenue points (only first visits) output using the patient behavior history DB [Figure 7D] Image example related to outpatient revenue points (other than first visit and follow-up visit calculations) output using the patient behavior history DB [Figure 8A] Image example related to the number of outpatient patients output using the patient behavior history DB [Figure 8B] Image example related to the number of outpatient patients (only follow-up visits) output using the patient behavior history DB [Figure 8C] Image example related to the number of outpatient patients (only first visits) output using the patient behavior history DB [Figure 8D] Image example related to the number of outpatient patients (other than first visit and follow-up visit calculations) output using the patient behavior history DB [Figure 9] Image example showing the outpatient situation by department (indicator showing the relationship between the number of patients and revenue) [[ID=2?]] [Figure 10A] Image example showing the outpatient situation by department (indicator showing the composition of outpatient unit price) output using the patient behavior history DB [Figure 10B] Image example showing the outpatient situation by department (indicator showing the composition (ratio) of outpatient unit price) output using the patient behavior history DB [Figure 10C] Image example showing the outpatient situation by department (indicator showing the composition of first visit and follow-up visit) output using the patient behavior history DB<° [Figure 10D] Image example showing the outpatient situation by department (indicator showing the composition (revenue) of outpatient unit price) output using the patient behavior history DB [Figure 10E] Image example showing the outpatient revenue (points), outpatient unit price, and the number of patients in parallel, output using the patient behavior history DB [Figure 11A] Pie chart showing the ratio of medical treatment behavior (only follow-up visits, first visit + follow-up visit, only first visit, only examination) in the most recent year for each patient, output using the patient behavior history DB [Figure 11B] Pie chart showing the ratio of the number of visits in the most recent year for each patient, output using the patient behavior history DB [Figure 11C] Pie chart showing the composition of the number of outpatient visits with 150 or fewer external medical treatment points [Figure 11D] Pie chart showing the proportion of departments at the time of admission [Figure 11E] Pie chart showing the proportion of surgeries performed at a medical institution [Figure 11F] Pie chart showing the proportion of diseases diagnosed at a medical institution [Figure 11G] Pie chart showing the proportion of departments after surgery output using the patient behavior history DB [Figure 11H] Pie chart showing the proportion of prescribing a specific drug after surgery output using the patient behavior history DB [Figure 11I] Pie chart showing the proportion of departments in the outpatient clinic in the most recent year output using the patient behavior history DB [Figure 11J] Pie chart showing the proportion of the number of years after surgery output using the patient behavior history DB [Figure 11K] Bar graph showing, for each doctor, the number of patients with a medical treatment point of a predetermined value or more and the number of patients with a medical treatment point less than the predetermined value, output using the patient behavior history DB [Figure 11L] Table showing the outpatient history of patients output using the patient behavior history DB [Figure 12] Flowchart showing a patient information providing method using the patient behavior history DB

Modes for Carrying Out the Invention

[0010] Hereinafter, various embodiments will be described with reference to the accompanying drawings. In the drawings, the same reference numerals are assigned to common constituent elements. Also, note that constituent elements shown in one drawing may be omitted in another drawing for convenience of explanation. Furthermore, note that the attached drawings are not necessarily drawn to an exact scale.

[0011] Hereafter, "database" will be abbreviated as "DB" and "interface" as "I / F". "DPC" is an abbreviation for Diagnosis Procedure Combination, and the contents of DPC_Form1, DPC_D, DPC_IntegratedEF(Inpatient), and DPC_IntegratedEF(Outpatient) include the contents of the "Explanatory Materials for the Implementation of the Survey on Evaluation and Verification of DPC in FY2024 (Discharged Patient Survey)" (https: / / www.mhlw.go.jp / content / 12404000 / 001259576.pdf). "Medical procedures" refer to initial consultations, follow-up consultations, and examinations. "Number of patients" may refer to the total number of patients or the actual number of patients. "Revenue" may refer to sales or profit after deducting expenses from sales. "Events" include admissions and discharges, surgeries, referrals, outpatient visits, and appointments.

[0012] The following describes in detail the patient information provision system 1 and the method of providing patient information to medical institutions. The patient information provision system 1 is a system that provides patient information to medical institutions, and is equipped with a patient behavior history DB 100, and provides patient information to medical institutions using the patient behavior history DB 100.

[0013] 1. Overview of the Patient Behavior History Database 100 In one embodiment, the patient behavior history DB 100 is a database in which various types of information are integrated on a patient axis, and is configured to allow for the understanding of a patient's behavior event by event. As shown in Figure 1, the patient behavior history DB 100 is a database created by integrating the referral DB 110, the reverse referral DB 120, the inpatient care DB 130, the outpatient care DB 140, and the arbitrary DB 150, and records information on events related to a patient on a patient-by-patient basis.

[0014] 1-1. Introduction DB110 Referral DB110 is a database that stores information on patients referred from other medical institutions. As shown in Figure 2, Referral DB110 includes Referral Information 201 and Medical Institution Information 203 as source datasets. Details of Referral Information 201 and Medical Institution Information 203 will be described later. Referral DB110 includes information on the medical institution that referred the patient, information on the referred patient, information on the referral date of the referred patient, information on the patient's illness (for example, information on illnesses suspected by doctors at other medical institutions), information on the department that accepts the referred patient, and information on the patient's visit date.

[0015] 1-2. Reverse Introduction DB120 The reverse referral DB120 is a database that stores information on patients referred to other medical institutions. As shown in Figure 2, the reverse referral DB120 includes reverse referral information 202, medical institution information 203, and DPC_integrated EF (inpatient / outpatient) 205 as its source dataset. Details of reverse referral information 202, medical institution information 203, and DPC_integrated EF (inpatient / outpatient) 205 will be described later. The reverse referral DB120 includes information on the medical institution to which the patient is referred, information on the patient being referred, information on the referral date of the patient being referred, information on the disease the patient has (for example, information on the disease confirmed by a physician at the medical institution itself), and information on the department that accepted the patient being referred.

[0016] 1-3. Hospital treatment DB130 The Inpatient Care Database 130 is a database containing information on patients who are admitted to and discharged from the hospital. As shown in Figure 2, the Inpatient Care Database 130 includes DPC_Form 1(204), DPC_D206, and DPC_Integrated EF(Inpatient)205-1 as its source datasets. Details of DPC_Form 1(204), DPC_D206, and DPC_Integrated EF(Inpatient)205-1 will be described later. The Inpatient Care Database 130 includes information on patients who are admitted, admission information for admitted patients, discharge information for discharged patients, information on diseases the patients have, information on surgeries performed on patients, information on the medical departments that accept admitted patients, and information on the doctors in charge of admitted patients.

[0017] 1-4. Outpatient treatment DB140 Outpatient Care DB140 is a database containing information on outpatients. As shown in Figure 2, Outpatient Care DB140 includes DPC_IntegratedEF(Outpatient)205-2 as its source dataset. Details of DPC_IntegratedEF(Outpatient)205-2 will be described later. Outpatient Care DB140 includes information on outpatients, the date of their outpatient visit, information related to the diagnosis of the outpatient, information related to the treatment performed on the outpatient, information on the medical department that diagnosed the outpatient, and information on the physician in charge of the outpatient.

[0018] 1-5.Optional DB150 Arbitrary DB150 is a database containing arbitrary datasets 207. Arbitrary DB150 is a database containing the healthcare institution's own datasets.

[0019] 2. Dataset Next, we will explain in detail the reference information 201, reverse referral information 202, medical institution information 203, various DPC data (204-206), and arbitrary dataset 207, which were used as examples of the source datasets mentioned above.

[0020] 2-1. Introduction Information 201 Referral information 201 is information about a patient referred from another medical institution, including information about the referring medical institution and information about the referred patient. Information about the referring medical institution includes, for example, the name of the referring medical institution (and / or the identification number of the referring medical institution), the name of the physician at the referring medical institution (and / or the identification number of the physician), the name of the physician at the receiving medical institution (and / or the identification number of the physician), the contents of the referral letter, the reason for referring the patient, and the date of the referral. Information about the referred patient includes, for example, the patient's name, age, gender, and address.

[0021] The source of information provided in reference information 201 is information managed on the medical institution's servers, linked systems, electronic medical records, Excel spreadsheets, etc.

[0022] 2-2. Reverse Referral Information 202 Reverse referral information 202 is information about a patient being referred to another medical institution, including information about the medical institution to which the patient is being referred, and information about the patient being referred. Information about the medical institution to which the patient is being referred includes, for example, the name of the medical institution to which the patient is being referred (and / or the identification number of the medical institution to which the patient is being referred), the name of the doctor at the medical institution to which the patient is being referred (and / or the identification number of the doctor to which the patient is being referred), the contents of the referral letter, the reason for referring the patient, and the date of the referral. Information about the patient being referred includes, for example, the patient's name, age, gender, and address.

[0023] The source of reverse referral information 202 is information managed on the medical institution's servers, linked systems, electronic medical records, Excel spreadsheets, etc.

[0024] 2-3. Medical Institution Information 203 Medical institution information 203 is information about a medical institution, including the name of the medical institution, address, telephone number, founder, administrator, number of beds, listed medical departments, and other related information.

[0025] The source of the medical institution information 203 may be data submitted to regional health bureaus nationwide, or it may be data expanded based on said submitted data. Data expanded based on submitted data may be managed, for example, in the applicant's SaaS (Software as a Service) service called foro CRM (registered trademark), which supports medical collaboration among medical institutions.

[0026] 2-4. DPC Form 1 (204) DPC Form 1(204) contains information such as the patient's condition upon admission, the type of surgery performed for the illness or injury, the length of stay, and the patient's condition upon discharge. DPC Form 1(204) includes, for example, patient attribute information, admission information, and discharge information. Patient attribute information is information indicating the patient's attributes, such as the patient's date of birth, gender, and postal code of the patient's address. Admission information includes, for example, the date of admission and the route of admission. Discharge information includes, for example, the date of discharge and the destination of discharge.

[0027] 2-5-1. DPC_Integrated EF (Inpatient / Outpatient) 205 DPC_IntegratedEF(Inpatient / Outpatient)205 is data that integrates the Inpatient EF Integrated File (fee-for-service claim information) and the Outpatient EF Integrated File (fee-for-service claim information). The Inpatient EF Integrated File contains information on fee-for-service payments based on the medical fee schedule for inpatients, as well as information indicating what medical procedures were performed, when, how much, and by whom. The Outpatient EF Integrated File contains information on fee-for-service payments based on the medical fee schedule for outpatients, as well as information indicating what medical procedures were performed, when, how much, and by whom. DPC_IntegratedEF(Inpatient / Outpatient)205 includes, for example, patient attributes, admission and discharge dates, outpatient visit dates, medical treatment details (including drug and material usage fees) (E file), and procedure details (F file). Patient attributes include, for example, the inpatient's date of birth, gender, and postal code of the inpatient's address area. Admission and discharge dates are the admission and discharge dates, and outpatient visit dates are the dates the outpatient visits were made. Medical treatment details (E-file) are information that shows the details of medical treatment, including the name of the medical procedure, the points for the medical procedure, and the points for medications within the medical procedure. Procedure details (E-file) are information that shows the details of a procedure, including procedure classification information and the points for the procedure.

[0028] 2-5-2. DPC_Integrated EF (Inpatient) 205-1 DPC_IntegratedEF(Inpatient)205-1 includes the inpatient EF integrated file (fee-for-service claim information) mentioned above.

[0029] 2-5-3. DPC_Integrated EF (Outpatient) 205-2 DPC_Integrated EF (Outpatient) 205-2 includes the outpatient EF integrated file (fee-for-service claim information) mentioned above.

[0030] 2-6.DPC_D206 DPC_D206 is comprehensive claim information, and it records what medical procedures were performed for hospitalizations and illnesses that were covered by comprehensive payment among the claim information.

[0031] The DPC data (204-206) mentioned above is standardized information intended for submission to designated organizations such as the government, whereas referral information 201 and reverse referral information 202 are in a proprietary, non-standardized format. Therefore, the patient behavior history DB 100 is created using normalized data (DPC data (204-206), referral information 201, and reverse referral information 202). Furthermore, if the medical institution 320 has information that is standardized for submission to an organization other than the designated organization mentioned above, or information in a proprietary format, normalization with other information is also necessary.

[0032] 2-7. Any dataset 207 Any dataset 207 can contain any data. For example, any dataset 207 may include a dataset of patient data (ID, name, age, address, etc.), a dataset of physician data (ID, name, medical department, etc.), and information on appointment dates.

[0033] 3. Patient Information Provision System 1 The patient information provision system 1 is a system equipped with a patient behavior history DB 100, and is, for example, a cloud server. Alternatively, the patient information provision system 1 may be an on-premise server of a medical institution. The patient information provision system 1 comprises a processor 301 (processing unit), memory 302, storage 303 (storage unit), and a communication I / F 304. The patient information provision system 1 is connected to each medical institution (for example, a DPC participating medical institution) via a network 310. The processor 301 is a CPU (Central Processing Unit), GPU (Graphics Processing Unit), DSP (Digital Signal Processor), ASIC, etc. The memory 302 is a DRAM (Dynamic Random Access Memory), etc., and is used as a workspace for the processor 301. The storage 303 is an HDD (Hard Disk Drive), SSD (Solid State Drive), or a combination thereof, and stores various programs and data. In this embodiment, the storage 303 (storage unit) stores the patient behavior history DB 100. The communication I / F 304 is an interface for sending and receiving data with each medical institution 320 via the network 310. The processor 301 (processing unit) described above uses the patient behavior history DB 100 to generate information indicating management indicators that contribute to the management of the medical institution 320 (for example, information related to the images in Figures 7 to 10 described later) and provides it to the medical institution 320, and also generates information indicating the utilization indicators of the medical resources of the medical institution 320 (for example, information related to the images in Figure 11 described later) and provides it to the medical institution 320. The processor 301 (processing unit) may use the patient behavior history DB 100 to provide only the information indicating management indicators that contribute to the management of the medical institution 320 (for example, information related to the images in Figures 7 to 10 described later) to the medical institution 320, or it may provide only the information indicating the utilization indicators of the medical resources of the medical institution 320 (for example, information related to the images in Figure 11 described later) to the medical institution 320.

[0034] 4. Patient behavior history DB100 While patient medical records are typically stored in electronic medical records, other data relevant to hospital management, such as accounting and logs of non-medical events (referrals, reverse referrals, seminar participation, etc.), are managed separately from the aforementioned electronic medical records and are not centrally managed. Therefore, it was difficult for hospital administrators to determine whether a patient should be treated at their hospital. Patients who should be treated at their hospital include, for example, those requiring treatment utilizing the hospital's medical resources, such as medical equipment, and those generating profits for the hospital.

[0035] Furthermore, determining whether a patient should be treated at their hospital requires the collection and processing of a vast amount of data, including dispersed patient medical records and other data useful for management, such as logs of accounting and non-medical events (referrals, reverse referrals, seminar participation, etc.). This is an extremely time-consuming task for hospital administrators.

[0036] One embodiment of the Patient Behavior History DB 100 is a database that centrally manages data related to patients' medical records and other data useful for management, such as logs of accounting and non-medical events (referrals, reverse referrals, seminar participation, etc.). The Patient Behavior History DB 100 can aggregate hospital and patient event logs on a patient-by-patient basis from DPC data and other data (regional collaboration data, reservation data, medical institution data, etc.) submitted by DPC-eligible hospitals to the government. This allows non-physicians to centrally access patients' simplified medical records, medical fees, and logs of other events for purposes other than medical treatment. Of course, physicians can also centrally access the above information. As a result, it becomes possible to identify patient groups, diseases, and medical institutions that generate profits (not only economic profits, but also social profits from the appropriate use of medical resources) for one's own hospital.

[0037] The patient behavior history database 100 is a database that aggregates events related to patient medical treatment. By applying statistical processing to this data, it becomes possible to understand the information from various perspectives.

[0038] 5. Structure of the Patient Behavior History DB100 As shown in Figures 4 and 5, the patient activity history database 100 has the following columns: hospital identifier 401, patient identifier 402, event date 403, event type 404, event department 405, event physician 406, and event details 407. The patient activity history database 100 may also have columns other than those listed above. An "event" refers to admission / discharge, surgery, referral, outpatient visit, appointment, etc.

[0039] 4-1. Hospital Identifier 401 Hospital identifier 401 is an identifier used to identify the medical institution of a user (hospital administrator, doctor, etc.) from the patient behavior history DB100 data.

[0040] 4-2. Patient Identifier 402 Patient identifier 402 is an identifier used to identify a patient from the data in the patient behavior history DB 100.

[0041] 4-3. Event Date 403 Event date 403 is the date on which an event occurred, such as admission / discharge date, surgery date, referral date, outpatient visit date, or appointment date.

[0042] 4-4. Event Type 404 Event type 404 refers to events such as hospital admission / discharge, surgery, referral, outpatient visit, and appointment scheduling.

[0043] 4-5. Event Medical Department 405 Event Medical Department 405 is the medical department that handles admissions and discharges, surgeries, referrals, outpatient visits, appointments, etc.

[0044] 4-6. Event Doctor 406 Event physician 406 is a medical department that handles admissions and discharges, surgeries, referrals, outpatient visits, appointments, etc.

[0045] 4-7. Event Details 407 Event details 407 are the details of the event. For example, in the case of inpatient treatment, event details 407 may include the name of the disease, the name of the surgery, and other medical procedures performed, and in the case of outpatient treatment, it may include details of the medical procedures performed, such as tests and medical fees.

[0046] 5. Case Studies (Visualization of the revenue that patients and medical institutions bring to the hospital) Using the patient behavior history DB100, it is possible to understand where a particular patient or medical institution came from, what kind of patients they referred, what diseases they had, how many patients they had visited (or sent), and how much benefit they had generated.

[0047] (Visualizing how much of the hospital's medical resources are being utilized) This makes it possible to summarize the medical procedures performed on each patient over any given period, and to identify patients who have already recovered from acute symptoms.

[0048] 6. Innovations in Data Integration (Normalization of medical institution information 203) By ensuring that referral information 201 and reverse referral information 202 to 320 medical institutions are correctly linked, it becomes possible to understand whether the hospital's medical resources are being properly utilized within the community.

[0049] (Normalization of patient information) There may be discrepancies in patient identifiers between proprietary referral and reverse referral data (201, 202) and standardized data for submission. By processing these discrepancies to enable tracking, the accuracy of the hospital's electronic medical record and accounting data can be directly reproduced.

[0050] 7. Output using patient behavior history DB100 (Visualization of external revenue) Traditionally, while medical claim data and DPC data recorded individual patient medical information, this information was not recorded as continuous data. Therefore, conventional analytical methods could not accurately evaluate outpatient capacity from a macro perspective.

[0051] By using the patient behavior history DB100 according to this embodiment, it is possible to analyze the medical resources invested in the medical procedures performed on patients as a series of events. As a result, it becomes possible to accurately evaluate the outpatient capacity of one's own hospital compared to conventional analysis methods.

[0052] For example, Figure 6 shows the flow of an outpatient visit. In a certain medical institution, in order to reduce congestion, a medical flow is implemented in which tests are performed on day X and a diagnosis (initial consultation) is made on day Y. In the conventional analysis method, as shown in Figure 6, "test 1000 points" and "outpatient visit 280 points" are separated, and the three separate procedures of "test 1000 points," "outpatient visit 280 points," and "follow-up visit 75 points" are evaluated, with three outpatient visits and an average unit price of 451 points.

[0053] However, in reality, the examination and initial consultation are separated only to reduce congestion, and in effect, the examination is performed at the initial consultation. Therefore, in the analysis method using the patient behavior history DB100 according to this embodiment, in accordance with the actual situation, as shown in Figure 6, "Examination 1000 points" and "Outpatient visit 280 points" are linked by a special process, and evaluated as two procedures: "Examination 1000 points" + "Outpatient visit 280 points" and "Follow-up visit 75 points", with two outpatient visits and an average unit price of 677 points.

[0054] As shown in Figure 6, it can be understood that the average outpatient cost at the medical institution in question was underestimated using conventional analytical methods.

[0055] The special processing described above is, for example, the process of linking only tests performed within a specified period to an outpatient visit, where the specified period is, for example, 14 days. This special processing may also be the process of linking only tests performed within a specified period to an outpatient visit (initial visit) for an initial visit, or the process of linking only tests performed within a specified period to an outpatient visit (follow-up visit) for a follow-up visit. Furthermore, when linking only tests to one of multiple outpatient visits, the test may be linked to the outpatient visit with the shortest time interval, or it may be linked to an initial visit or follow-up visit regardless of the time interval.

[0056] Furthermore, whether or not to link examinations alone and outpatient visits and treat them as a series of medical procedures depends on the policy of each medical department. Therefore, each medical department may set its own policy on whether or not to link examinations alone and outpatient visits as a series of medical procedures, or it may set the aforementioned prescribed period for each medical department.

[0057] Figures 7A to 7D are example images showing outpatient revenue (outpatient revenue points). In response to a request from a medical institution 320 (for example, a web browser running on a computer used by the manager of medical institution 320), the patient information provision system 1 generates each image (for example, HTML data) using the patient behavior history DB 100 and provides it to the medical institution 320 (for example, the web browser).

[0058] Figure 7A is a graph showing the outpatient revenue of a designated medical institution over time. The vertical axis of Figure 7A represents the number of medical service points, and the horizontal axis represents time (months). Figure 7A includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0059] Figure 7A allows for a comparison of the trends in medical service fees at a designated medical institution year by year. While Figure 7A shows the trends in medical service fees at a designated medical institution, it is also possible to display a graph image showing the trends in medical service fees for a specific medical department by specifying the department within that medical institution.

[0060] Figure 7B is a graph showing the time-series outpatient revenue from follow-up visits only at designated medical institutions. In Figure 7A, the vertical axis represents medical service points, and the horizontal axis represents time (months). Figure 7B includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0061] Figure 7B allows for a year-to-year comparison of the trend in medical service points for follow-up visits only at the designated medical institution. While Figure 7B shows the trend in medical service points at the designated medical institution, it is also possible to display a graph image showing the trend in medical service points for a specific medical department by specifying the department within that medical institution.

[0062] Figure 7C is a graph showing the time-series outpatient revenue for initial consultations only at designated medical institutions. The vertical axis of Figure 7C represents the number of medical service points, and the horizontal axis represents time (months). Figure 7C includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0063] Figure 7C allows for a comparison of the trend in medical service points for initial consultations only at designated medical institutions year by year. Figure 7B shows the trend in medical service points at designated medical institutions; however, by specifying the medical department at the medical institution, it is also possible to display a graph image showing the trend in medical service points for that specific department.

[0064] Figure 7D is a graph showing the time-series outpatient revenue (excluding initial and follow-up visits) for the designated medical institutions. The vertical axis of Figure 7D represents medical service points, and the horizontal axis represents time (months). Figure 7D includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0065] Figure 7D allows for a year-to-year comparison of the trends in medical service points for services other than initial and follow-up visits at the designated medical institution. While Figure 7D shows the trends in medical service points at the designated medical institution, it is also possible to display a graph image showing the trends in medical service points for a specific medical department by specifying the department within that medical institution.

[0066] Figures 8A to 8D are example images showing the number of outpatients. In response to a request from a medical institution (for example, a web browser running on a computer used by the administrator of the medical institution), the patient information provision system 1 generates each image (for example, HTML data) using the patient behavior history DB 100 and provides it to the medical institution (for example, the web browser).

[0067] Figure 8A is a graph showing the number of outpatients at a designated medical institution over time. The vertical axis of Figure 8A represents the total number of patients (the total number of patients who used the medical institution during a specific period), and the horizontal axis represents time (months). Figure 8A includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0068] Figure 8A allows for a comparison of the trend in the total number of patients at a designated medical institution year by year. While Figure 8A shows the trend in the total number of patients at a designated medical institution, it is also possible to display a graph image showing the trend in the total number of patients at a specified medical department by specifying the department within that medical institution. Figure 8A also includes the total number of patients for the specified period, the year-on-year change in the total number of patients, the number of new patients, and the year-on-year change in the number of new patients. Similarly, Figures 8B to 8D also include the total number of patients for the specified period, the year-on-year change in the total number of patients, the number of new patients, and the year-on-year change in the number of new patients.

[0069] Figure 8B is a graph showing the number of outpatients who only received follow-up visits at designated medical institutions over time. In Figure 8A, the vertical axis represents the total number of patients, and the horizontal axis represents time (months). Figure 8B includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0070] Figure 8B allows for a comparison of the trend in the number of outpatients (return visits only) at a designated medical institution year by year. While Figure 8B shows the trend in the total number of patients at a designated medical institution, it is also possible to display a graph image showing the trend in the total number of patients for a specific medical department by specifying the department within that medical institution.

[0071] Figure 8C is a graph showing the number of outpatients (first-time patients only) at designated medical institutions over time. The vertical axis of Figure 8C represents the total number of patients, and the horizontal axis represents time (months). Figure 8C includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0072] Figure 8C allows for a comparison of the total number of patients (first-time patients only) at a designated medical institution over the years. Figure 8B shows the trend in the total number of patients at a designated medical institution; however, by specifying a medical department within that institution, it is also possible to display a graph showing the trend in the total number of patients for that specific medical department.

[0073] Figure 8D is a graph showing the number of outpatients (excluding initial and follow-up visits) at the designated medical institutions over time. The vertical axis of Figure 8D represents the total number of patients, and the horizontal axis represents time (months). Figure 8D includes line graphs for 2022 (April-December only), 2023, and 2024 (January-March only).

[0074] Figure 8D allows for a year-to-year comparison of the total number of patients, excluding initial and follow-up visits, at the designated medical institution. While Figure 8D shows the trend in the total number of patients at the designated medical institution, it is also possible to display a graph image showing the trend in the total number of patients for a specified medical department by specifying the medical department at that institution.

[0075] Figure 9 is an example image showing outpatient status by medical department (an indicator showing the relationship between the total number of patients and revenue). The images in Figure 9 are generated by the patient information provision system 1 using the patient behavior history DB 100 in response to a request from a medical institution (for example, a web browser running on a computer used by the medical institution's administrator), and provided to the medical institution (for example, the web browser). When displaying these images, the medical institution's administrator can set a minimum score and a period. In the example in Figure 9, a minimum score of 150 points is set, and the period is set from April 1, 2023 to March 31, 2024. Based on these settings, an image is generated and displayed for each medical department showing the relationship between revenue from outpatient consultations with a medical fee of 150 points or more and the total number of patients from outpatient consultations with a medical fee of 150 points or more.

[0076] In Figure 9, the vertical axis represents revenue from outpatient consultations with a medical fee of 150 points or more, and the horizontal axis represents the total number of outpatient consultations with a medical fee of 150 points or more. The size of the bubbles in Figure 9 indicates the average unit price for each medical department. For example, in the example in Figure 9, it can be seen that the YZ department has a total number of patients of approximately 9,400, which is higher than other departments, but its revenue is approximately 70 million yen, which is the same as or less than other departments. Similarly, in the GHI department, the total number of patients is approximately 4,100, which is the same as or less than other departments, but its revenue is approximately 320 million yen, which is higher than other departments.

[0077] Figures 10A to 10D are example images showing outpatient status by medical department (indicators showing the composition of outpatient costs). In response to a request from a medical institution (for example, a web browser running on a computer used by the administrator of the medical institution), the system generates each image (for example, HTML data) using the patient behavior history DB100 and provides it to the medical institution (for example, the web browser).

[0078] Figure 10A is an image showing bar graphs for each medical department, categorized by the range of outpatient service points. In Figure 10A, the vertical axis represents the total number of patients, and the horizontal axis represents the medical department. In Figure 10A, outpatients are divided into four ranges based on outpatient service points: 150 points or less, 151 points to 1000 points, 1001 points to 2000 points, and 2001 points or more.

[0079] Figure 10A makes it possible to understand the number of outpatients for each range of outpatient service points at a designated medical institution. For example, in the YZ and MNO departments, it can be seen that the number of patients with points between 151 and 1000 is higher than in other departments or in other ranges within the same department. Similarly, in the STU department, it can be seen that the number of outpatients with points of 2001 or higher is higher than in other departments or in other ranges within the same department. Furthermore, in the PRQ department, it can be seen that the number of outpatients with points of 150 or lower is higher than in other departments or in other ranges within the same department. As a result, it becomes easy to identify which departments would benefit most from optimizing outpatient services and what their appropriate values ​​would be.

[0080] Figure 10B is an image showing bar graphs for each medical department, distinguishing the proportion of outpatient visits by range of outpatient medical service points. The vertical axis of Figure 10B represents the proportion of total patients (indicated as "Proportion of Total Patients" in the figure), and the horizontal axis represents the medical department. In Figure 10B, outpatients are divided into four ranges of outpatient medical service points: 150 points or less, 151 points to 1000 points, 1001 points to 2000 points, and 2001 points or more.

[0081] Figure 10B makes it possible to understand the proportion of outpatients for each range of outpatient medical fee points at a designated medical institution. For example, in the YZ and MNO departments, it can be seen that the proportion of patients with a fee of 151 to 1000 points is higher than in other departments or in other ranges within their own department. Similarly, in the STU department, it can be seen that the proportion of outpatients with a fee of 2001 points or higher is higher than in other departments or in other ranges within their own department. Furthermore, in the PRQ department, it can be seen that the proportion of outpatients with a fee of 150 points or less is higher than in other departments, and is equivalent to the proportion of patients with a fee of 151 to 1000 points within their own department, while also being higher than the proportion of patients with a fee of 1001 points or higher.

[0082] Figure 10C is an image showing bar graphs for each medical department, distinguishing the proportion of outpatient visits by type of outpatient visit (follow-up, initial visit, examination, no billing). In Figure 10C, the vertical axis represents the proportion of total patients, and the horizontal axis represents the medical department.

[0083] Figure 10C makes it possible to understand the number of outpatients for each type of outpatient care at a designated medical institution. For example, it can be seen that the proportion of first-time patients is higher in the VWX department compared to other departments.

[0084] Figure 10D is an image showing bar graphs for each medical department, distinguishing the composition of revenue related to outpatients by range of outpatient medical service points. In Figure 10A, revenue is divided into ranges of 150 points or less, 151 points to 1000 points, 1001 points to 2000 points, and 2001 points or more.

[0085] Figure 10D makes it possible to understand the composition of revenue related to outpatients for each range of outpatient medical service fees. For example, it can be seen that in the STU and PQR departments, the revenue from outpatient medical service fees of 2001 points or more is greater than the revenue from outpatient medical service fees of 2001 points or more in other departments.

[0086] Figure 10E is an image that shows outpatient revenue (points), outpatient cost per visit, and total number of patients together. Outpatient revenue (points) includes the total revenue (points) for the medical institution, revenue (points) for initial consultations, and revenue (points) for follow-up consultations. Outpatient cost per visit includes the cost per patient at the medical institution, the cost per patient for initial consultations, and the cost per patient for follow-up consultations. Total number of patients includes the total number of patients at the medical institution, the total number of patients for initial consultations, and the total number of patients for follow-up consultations. This makes it possible to evaluate the medical institution and each medical department within the institution using three axes: outpatient revenue, outpatient cost per visit, and total number of patients.

[0087] (Visualization of the utilization status of medical resources) Acute care hospitals are, in principle, facilities for providing advanced medical care such as surgery and hospitalization. However, they often conduct outpatient clinics before and after surgery (for example, priority outpatient clinics. Priority outpatient clinics are those that have one of the following functions: (1) outpatient clinics before and after hospitalization that make concentrated use of medical resources, (2) outpatient clinics that require expensive medical equipment and facilities, or (3) outpatient clinics that have a function specialized in a particular area (such as outpatient clinics for referred patients)). Furthermore, the required outpatient period varies depending on the disease and treatment plan. For this reason, traditionally, in order to distinguish between patients that should be treated by an acute care hospital and those that do not, it was necessary to look at medical records such as charts, and this was left to the physician who directly interacted with the patient.

[0088] By using the patient behavior history DB100 according to this embodiment, medical procedures performed on patients can be processed to a state that is easy to handle statistically. This makes it possible to classify patients according to the medical resources used over a certain period, allowing hospital administrators, administrative staff, and others other than doctors to understand the situation at their hospital.

[0089] Figure 11A is a pie chart showing the proportion of medical services provided to each patient over the past year (follow-up visits only, initial visits + follow-up visits, initial visits only, and consultations only). Hospital administrators and others can refer to this pie chart to understand the proportion of medical services provided.

[0090] Figure 11B is a pie chart showing the proportion of visits by patient in the past year. Hospital administrators and others can refer to this pie chart to understand the proportion of visits by patient. In Figure 11B, the past year is specified as an example, but the period specified may be other than one year.

[0091] Figure 11C is a pie chart showing the breakdown of outpatient visits with an outpatient medical fee of 150 points or less. Hospital administrators and others can refer to this pie chart to understand trends such as a high number of outpatient visits with low medical fees. Note that while Figure 11C shows the breakdown of outpatient visits with a specified fee or less, it may also show the breakdown of outpatient visits with a specified fee or more.

[0092] Figure 11D is a pie chart showing the proportion of medical departments at the time of admission. Hospital administrators and others can refer to this pie chart to understand trends such as a bias towards certain medical departments at the time of admission.

[0093] Figure 11E is a pie chart showing the percentage of surgeries performed at medical institutions. Hospital administrators and others can refer to this pie chart to understand the percentage of surgeries performed at medical institutions, and thus determine whether surgeries that should be performed at their hospital are being performed at an appropriate frequency, taking into account the surgical facilities of their own hospital.

[0094] Figure 11F is a pie chart showing the proportion of diseases diagnosed at medical institutions. Hospital administrators and others can refer to this pie chart to understand the proportion of diseases diagnosed at medical institutions, and thus determine whether they are treating diseases in their area of ​​expertise with appropriate frequency.

[0095] Figure 11G is a pie chart showing the proportion of postoperative medical departments. Hospital administrators and others can refer to this pie chart to understand the proportion of postoperative medical departments, and thus identify any imbalances in postoperative medical care.

[0096] Figure 11H is a pie chart showing the percentage of patients prescribed specific medications after surgery. Hospital administrators and others can refer to this pie chart to understand the percentage of patients prescribed specific medications after surgery.

[0097] Figure 11I is a pie chart showing the proportion of outpatient visits to each medical department over the past year. Hospital administrators and others can refer to this pie chart to understand the proportion of outpatient visits to each medical department over the past year. Furthermore, by linking a specific physician to each medical department, the proportion of outpatient visits to that specific physician can also be understood.

[0098] Figure 11J is a pie chart showing the proportion of patients by the number of years since surgery. Hospital administrators can refer to this pie chart to understand the proportion of patients by the number of years since surgery. For example, if the proportion of patients with a long postoperative period increases, they can consider transferring patients with a long postoperative period to another hospital.

[0099] Figure 11K is a bar graph showing, for each physician, the number of patients whose medical service points are above a predetermined value (e.g., 150 points) and the number of patients whose medical service points are below that value. By referring to the bar graph in Figure 11K, it is possible to optimize the number of patients each physician should see and to optimize physician allocation considering the characteristics of outpatient care and the physicians' areas of expertise.

[0100] Figure 11L is a table showing a patient's outpatient history. This table includes the outpatient date, medical department, medical fee, and detailed information. For example, by referring to this table, if the patient's recent outpatient fee has consistently fallen below a predetermined value (e.g., 150 points), it becomes possible to refer the patient back to a local hospital, thereby effectively utilizing the resources of the medical institution.

[0101] 8. Flowchart showing how to provide patient information Next, we will explain in detail the method of providing patient information, referring to Figure 12. First, the patient behavior history DB100 described above is created and stored in the memory unit of the patient information provision system 1 (S100).

[0102] Upon receiving an operation from hospital administrators or other personnel, the medical institution (for example, a web browser on a computer within the medical institution) sends requests for various types of information to the patient information provision system 1 (S101).

[0103] The patient information provision system 1 receives a request from a medical institution and, in response to the request, creates screen information (for example, HTML data) as exemplified in Figures 7A to 11J above (S102).

[0104] The patient information provision system 1 then provides (transmits) the created screen information to the medical institution (S103).

[0105] A medical institution (for example, a web browser on a computer within the medical institution) receives screen information and displays various information on the display unit based on the received screen information (S104).

[0106] 9. Effects of this embodiment By using the patient information provision system 1 according to the above embodiment, patient information can be centrally managed, and patient medical records, medical fees, and other events can be centrally accessed on a patient-by-patient basis. This will enable healthcare institutions to visualize the extent to which they are utilizing their medical resources, as well as the revenue that patients and collaborating healthcare institutions bring to their institutions.

[0107] 10-1. Summary of the patient information provision system with patient behavior history DB100 A patient information provision system 1 according to one embodiment is a patient information provision system that provides patient information relating to patients of a medical institution to the said medical institution, A storage unit that stores a patient behavior history database, which records information about events related to the patient on a patient-by-patient basis, created using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the dates of admission, discharge, and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of the surgery and / or medical treatment performed on the patient, and detail information indicating the details of the surgery and / or medical treatment performed on the patient. The system includes a processing unit that uses the patient behavior history database to generate information indicating management indicators useful for the management of the medical institution and provides it to the medical institution, and / or generates information indicating indicators for the utilization of the medical resources of the medical institution and provides it to the medical institution.

[0108] The patient behavior history database described above is created using, in addition to the medical institution information, patient attribute information, admission / discharge / outpatient information, surgery / treatment information, and detailed information, referral information for patients referred from other medical institutions to the medical institution and / or reverse referral information for patients referred from the medical institution to other medical institutions.

[0109] The patient attribute information described above is standardized information for submission to a designated organization, while the referral information and / or the reverse referral information is the non-standardized information. The patient behavior history database is created using the normalized patient attribute information and the referral information and / or the reverse referral information.

[0110] The processing unit described above generates outpatient revenue information for each medical procedure, showing the trend of outpatient revenue points and / or the number of outpatients at the medical institution, using the patient behavior history database as information indicating the management indicators, and provides it to the medical institution.

[0111] The processing unit described above generates revenue information for each clinical department of the medical institution, showing the relationship between the number of patients and revenue, using the patient behavior history database as information indicating the management indicators, and provides this information to the medical institution.

[0112] The processing unit described above generates information that shows the composition of outpatient fees for each clinical department of the medical institution, using the patient behavior history database, as information that contributes to the management of the medical institution, and provides it to the medical institution.

[0113] The processing unit described above generates at least one of the following pieces of information using the patient behavior history database as information indicating the utilization indicator of the medical resources of the medical institution, and provides it to the medical institution. Information indicating medical treatment performed during a specified period. Information indicating the number of visits during a specified period. Information indicating the number of outpatient visits where the outpatient medical fee is below a specified fee. Information indicating the medical department at the time of hospitalization. Information indicating the surgery performed. Information indicating the diagnosed disease Information indicating the medical departments visited by postoperative patients. Information indicating whether or not specific medications were prescribed after surgery. Information indicating the outpatient departments during a specified period. Information indicating the number of years since surgery.

[0114] 10-2. Summary of methods for providing patient information using the patient behavior history DB100 A patient information provision method according to one embodiment is a patient information provision method that provides patient information relating to a patient of a medical institution to the said medical institution, To create a patient behavior history database that stores information about events related to the patient on a patient-by-patient basis, using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the dates of admission, discharge, and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of the surgery and / or medical treatment performed on the patient, and detail information indicating the details of the surgery and / or medical treatment performed on the patient, and The system includes generating information indicating management indicators useful for the management of the medical institution using the patient behavior history database and providing it to the medical institution, and / or generating information indicating indicators for the utilization of the medical resources of the medical institution and providing it to the medical institution.

[0115] (Other examples) Furthermore, the present invention can also be realized by performing the following process: supplying software (programs) that realize the functions of the embodiments described above to a system or device via a network or various storage media, and having the computer (or CPU, MPU, etc.) of that system or device read and execute the program. The present invention may also be applied to a system consisting of multiple devices or to a device consisting of a single device. The present invention is not limited to the embodiments described above, and various modifications (including organic combinations of each embodiment) are possible based on the spirit of the present invention, and these are not excluded from the scope of the present invention. That is, configurations that combine each of the embodiments described above and their modified forms are all included in the present invention.

[0116] For example, in Figures 10A to 10D, the number of outpatients for each range of outpatient fee points (Figure 10A), the percentage (Figure 10B), the percentage of outpatients for each type of outpatient care (Figure 10C), and the revenue for each range of outpatient fee points (Figure 10D) are shown for each medical department. However, the number of outpatients for each range of outpatient fee points, the percentage, the percentage of outpatients for each type of outpatient care, and the revenue for each range of outpatient fee points may also be shown for each physician.

[0117] Furthermore, using the referral information 201 and reverse referral information 202 from the patient behavior history DB100, information such as the actual and predicted re-referral results for reverse-referred patients, the average outpatient cost for reverse-referred patients, and the proportion of hospitalizations from the total outpatients, including referred patients, may be output. [Explanation of Symbols]

[0118] 1: Patient Management System 100: Patient behavior history database 201: Introduction Information 202: Reverse Referral Information 203: Medical Institution Information 204: DPC_Form 1 205: DPC_Integrated EF (Inpatient / Outpatient) 205-1: DPC_Integrated (Inpatient) 205-2: DPC_Integrated (Outpatient) 206:DPC_D 207: Any dataset 301: Processor (processing unit) 302: Memory 303: Storage (memory unit) 304: Communication I / F 310: Network 320: Medical Institutions 401: Hospital Identifier 402: Patient Identifier 403: Event Date 404: Event Type 405: Event Medical Department 406: Event Doctor 407: Event Details

Claims

1. A patient information provision system that provides patient information relating to patients of a medical institution to the said medical institution, A storage unit that stores a patient behavior history database, which records information about events related to the patient on a patient-by-patient basis, created using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the dates of admission, discharge, and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of the surgery and / or medical treatment performed on the patient, and detail information indicating the details of the surgery and / or medical treatment performed on the patient. The system includes a processing unit that uses the patient behavior history database to generate information indicating management indicators useful for the management of the medical institution and provides it to the medical institution, and / or generates information indicating indicators for the utilization of the medical resources of the medical institution and provides it to the medical institution. Patient information provision system.

2. The patient behavior history database is created using, in addition to the medical institution information, patient attribute information, admission / discharge / outpatient information, surgery / treatment information, and detailed information, referral information for patients referred from other medical institutions to the medical institution and / or reverse referral information for patients referred from the medical institution to other medical institutions. The patient information provision system according to claim 1.

3. The aforementioned patient attribute information is standardized information for submission to a designated organization, and the aforementioned referral information and / or the aforementioned reverse referral information is the aforementioned non-standardized information. The patient behavior history database is created using the normalized patient attribute information and the referral information and / or the reverse referral information. The patient information provision system according to claim 2.

4. The processing unit generates outpatient revenue information for each medical procedure, showing the trend of outpatient revenue points and / or the number of outpatients at the medical institution, using the patient behavior history database as information indicating the management indicators, and provides this information to the medical institution. The patient information provision system according to claim 1.

5. The processing unit generates revenue information for each clinical department of the medical institution, showing the relationship between the number of patients and revenue in each clinical department, using the patient behavior history database, as information indicating the management indicators, and provides it to the medical institution. The patient information provision system according to claim 1.

6. The processing unit generates information that shows the composition of outpatient fees for each clinical department of the medical institution, using the patient behavior history database, as information that contributes to the management of the medical institution, and provides it to the medical institution. The patient information provision system according to claim 1.

7. The processing unit generates at least one of the following pieces of information, using the patient behavior history database, as information indicating the utilization indicator of the medical resources of the medical institution, and provides it to the medical institution. The patient information provision system according to claim 1. Information indicating medical treatment performed during a specified period. Information indicating the number of visits during a specified period. Information indicating the number of outpatient visits where the outpatient medical fee is below a specified fee. Information indicating the medical department at the time of hospitalization. Information indicating the surgery performed. Information indicating the diagnosed disease Information indicating the medical departments visited by postoperative patients. Information indicating whether or not specific medications were prescribed after surgery. Information indicating the outpatient departments during a specified period. Information indicating the number of years since surgery.

8. A method for providing patient information to a medical institution, wherein patient information relating to a patient of a medical institution is provided to the medical institution. To create a patient behavior history database that stores information about events related to the patient on a patient-by-patient basis, using medical institution information relating to the medical institution, patient attribute information indicating the attributes of the patient, admission / discharge / outpatient information indicating the dates of admission, discharge, and / or outpatient visits of the patient, surgery / medical treatment information indicating the content of the surgery and / or medical treatment performed on the patient, and detail information indicating the details of the surgery and / or medical treatment performed on the patient, and The service includes generating information indicating management indicators that contribute to the management of the medical institution using the patient behavior history database and providing it to the medical institution, and / or generating information indicating indicators for the utilization of the medical resources of the medical institution and providing it to the medical institution. How to provide patient information.

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