Medical data analysis system, medical data analysis method, and medical data analysis program

Abstract

To provide a medical data analysis system, a medical data analysis method and a medical data analysis program capable of grasping the functional level of medical institutions located in an evaluation area.SOLUTION: A control unit 21 specifies an evaluation area for comparison of medical institutions; acquires functional index values of a plurality of medical institutions that include a plurality of comparison target medical institutions whose address information is included in the evaluation area; converts each function index value into a relative index value of each comparison target medical institution; and superimposes, in a map layer containing the address information of each comparison target medical institution, a medical institution layer in which the address information of each comparison target medical institution is associated with the relative index value of the comparison target medical institution, to display it on a display unit 24.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a medical data analysis system, a medical data analysis method, and a medical data analysis program for analyzing medical data. [Background technology]

[0002] Conventionally, systems that display the results of medical data analysis have been proposed. For example, the medical data analysis system described in Patent Document 1 acquires medical data of medical institutions located within an arbitrarily selected evaluation area, classifies the medical data of the medical institution of interest by major diagnosis group, and displays the share of the medical institution of interest within the evaluation area for each major diagnosis group. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-004420 A Summary of the Invention [Problem to be solved by the invention]

[0004] The display of the share of a medical institution in an evaluation area indicates the occupancy rate of the medical institution in the evaluation area, but does not indicate the level of functions that the medical institution assumes within the evaluation area. Estimations regarding the surplus or shortage of medical institutions in the evaluation area and the need for expansion at the medical institution in the evaluation area can vary greatly depending on the level of functions required at the medical institution in the evaluation area. Therefore, the display of the share of a medical institution in an evaluation area of ​​a medical institution in the evaluation area lacks the accuracy of estimation regarding the surplus or shortage of medical institutions and the need for expansion at the medical institution in the evaluation area. [Means for solving the problem]

[0005] A medical data analysis system for solving the above problems is a medical data analysis system equipped with a control unit connected to a memory unit that stores medical data including address information and functional index values ​​of each medical institution and analyzes the medical data, wherein the control unit identifies an evaluation area in which the medical institutions are compared, acquires functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area, converts each functional index value into a relative index value of the comparison target medical institution with which the comparison target medical institution is compared, and displays the medical institution layer in which the address information of the comparison target medical institution corresponds to the relative index value of the comparison target medical institution on a map layer including the address information of the comparison target medical institution, on a display unit.

[0006] According to the above configuration, the level of functions performed by the medical institutions to be compared is displayed on the map as a relative index value as viewed from multiple medical institutions. The relative index value as viewed from multiple medical institutions allows the level of functions of the medical institutions given to the evaluation area to be understood. This improves the accuracy of estimation regarding the surplus or deficiency of medical institutions in the evaluation area and the need for expansion at the medical institution of interest. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 is a diagram showing the system configuration of a medical data analysis system. [Diagram 2] FIG. 1 is a diagram showing the configuration of a map layer created by the medical data analysis system. [Diagram 3] FIG. 13 is a diagram showing the configuration of a medical institution icon created by the medical data analysis system. [Figure 4] FIG. 13 is a diagram showing the configuration of an analysis map created by the medical data analysis system. [Diagram 5] 1 is a flowchart showing a processing procedure of the medical data analysis system. [Figure 6] FIG. 13 is a diagram showing a configuration of an analysis map in a modified example. [Figure 7] FIG. 13 is a diagram showing functions of a medical institution icon in a modified example. [Figure 8] FIG. 13 is a diagram showing functions of a medical institution icon in a modified example. [Figure 9] FIG. 13 is a diagram showing functions of a medical institution icon in a modified example. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] An embodiment of a medical data analysis system, a medical data analysis method, and a medical data analysis program will be described with reference to FIGS. 1 to 5. The medical data analysis system 20 is a computer system that analyzes medical data 222. The medical data analysis system 20 is connected to one or more external servers 10. The external servers 10 are computer systems that provide data related to medical institutions to the medical data analysis system.

[0009] [Hardware configuration] The medical data analysis system 20 includes a control unit 21, a storage unit 22, an input unit 23, and a display unit 24. The control unit 21 includes a data acquisition unit 211, a data analysis unit 212, and a map creation unit 213.

[0010] The control unit 21 includes a circuit unit. The circuit unit includes a processor such as a CPU or MPU, and a memory such as a RAM or ROM. The memory stores program code or instructions that cause the processor to execute processing. The memory is a computer-readable medium, and includes media that can be accessed by a general-purpose or dedicated computer. The processor reads out a program stored in the storage unit 22, decodes the program using the code or instructions stored in the memory, and executes the decoded processing.

[0011] The processor is not limited to a circuit that executes all of its processes by software, but may also include a dedicated hardware circuit such as an ASIC that executes some of its processes by hardware. The processor is configured as a circuit that includes one or more processors that operate according to a computer program, one or more dedicated hardware circuits that execute at least some of the various processes, or a combination of these.

[0012] The data acquisition unit 211 is a communication interface. The data acquisition unit 211 executes transmission and reception of data between the external server 10 and the medical data analysis system 20. The data acquisition unit 211 is, for example, a network interface or a wireless interface. The data acquisition unit 211 acquires a data source for generating map data 221 from the external server 10. The data acquisition unit 211 acquires a data source for generating medical data 222 from the external server 10.

[0013] The storage unit 22 is a storage device such as a ROM, a RAM, or a hard disk. The storage unit 22 stores data and programs for performing analysis of medical data 222. The storage unit 22 stores data and programs for providing the analysis results as an analysis map. The storage unit 22 stores map data 221 and medical data 222.

[0014] The input unit 23 is a user interface such as a mouse, a keyboard, a touch panel, etc. The input unit 23 receives data for generating the medical data 222 and data for analyzing the medical data 222.

[0015] The display unit 24 displays the analysis map generated by the medical data analysis system 20. The display unit 24 is a display provided in various terminals such as a computer terminal, a tablet terminal, and a smartphone.

[0016] [Data Structure] The map data 221 includes format information related to the format of the map and geographic information related to the population size. The format information associates position information such as reference points, coastlines, and administrative divisions on the map with a coordinate system in the map space. The geographic information associates position information of geographic elements that assist in estimating the population size with a coordinate system in the map space. The coordinate system in the map space is, for example, a global coordinate system including latitude and longitude. The size of the area that assists in estimating the population size is a size that is considered to be the range of use of medical institutions, and is, for example, a medical area divided into regional units, or a group of multiple medical areas. The medical area is, for example, a primary medical area such as a city, town, or village unit, or a secondary medical area that is a unit that provides medical care related to hospitalization.

[0017] Geographic information includes topographical maps, transportation facilities, educational facilities, cultural facilities, sports facilities, industrial facilities, administrative facilities, city / town / village names, population, future estimated population, population trends, number of households, future estimated number of households, and trends in number of households. Population may be nighttime population, daytime population, floating population, or indicators showing these. Population may be an indicator showing population levels such as overcrowded areas with high population density and depopulated areas with low population density. Number of households may be the total number of ordinary households, the number of households by family type, or indicators of these.

[0018] Topographical maps include flat land, basins, plateaus, mountains, rivers, lakes, and swamps. A topographical map showing flat land or plateaus allows one to infer that the population is greater than in the surrounding areas, and that the population flow is greater in the center of the flat land or the center of the plateau. A topographical map showing basins, mountains, rivers, lakes, etc. allows one to infer that there are restrictions on the routes through which the population flows. Transportation facilities related to population size include railways, stations, roads, footbridges, bridges, etc. A topographical map showing railways, stations, etc. allows one to infer the size of the floating population, daytime population, and nighttime population, as well as the access load to medical institutions. The population in an area that includes the address information of medical institutions, and the load required for travel between that area and surrounding areas, etc., assist in inferring the normal functional level required of medical institutions.

[0019] Cultural facilities related to population size include schools such as elementary schools, junior high schools, high schools, and universities, as well as kindergartens. Cultural facilities such as schools and kindergartens allow predictions of the stability of population growth and decline, and future population growth and decline. The stability of population growth and decline, and future population growth and decline, help predict the future functional level required of medical institutions.

[0020] Cultural facilities related to population scale include exhibition centers, libraries, art museums, assembly halls, and concert halls. Sports facilities related to population scale include parks, gymnasiums, and stadiums. Industrial facilities related to population scale include office buildings, financial institutions, and other administrative facilities, hotels, resorts, and other accommodation facilities, shopping centers, and amusement facilities. Cultural facilities such as exhibition centers and industrial facilities such as amusement facilities suggest that large population flows occur periodically. Periodic population flows help to estimate the functional levels required of medical institutions at peak and deceleration times.

[0021] The map data 221 may associate the predicted damage range in the event of a disaster (area where damage such as tsunami, flood, inundation, landslide, shaking susceptibility, liquefaction, and tide prevention is expected) and evacuation sites in the event of a disaster with a coordinate system. The map data 221 may associate city planning maps including urbanized areas, urbanization control areas, and use zones with a coordinate system. The predicted damage range and evacuation sites assist in estimating the level of functionality required of medical institutions in the event of a disaster. Areas that may be urbanized and areas with restricted uses assist in estimating the future level of functionality required of medical institutions, and also assist in estimating whether the functions performed by medical institutions can be expanded.

[0022] The medical data 222 includes medical institution master data. The medical institution master data associates address information of a medical institution, a function index value indicating the level of functions performed by the medical institution, and other information related to the medical institution.

[0023] The other information related to the medical institution may include the name of the medical institution, the primary medical area of ​​the medical institution, and the secondary medical area of ​​the medical institution as information used to identify the evaluation area. The other information related to the medical institution may include various performance values ​​of the medical institution as information used to calculate the functional index value. The other information related to the medical institution may be information related to other medical institutions that cooperate with the medical institution. For example, the information related to other medical institutions that cooperate with the medical institution is information that corresponds the name and address information of the medical institution to the name and address information of the medical institution's affiliated medical institutions.

[0024] The address information of the medical institution is a number indicating the location of the medical institution as a prefecture code number and a city / town / village code number. The address information of the medical institution may be a location value of the medical institution or a global coordinate indicating the location of the medical institution. The address information of the medical institution is configured to correspond to the position of the medical institution in the coordinate system of the map.

[0025] A medical institution is a facility that provides medical care. Medical institutions include hospitals that have inpatient facilities with 20 or more beds, clinics with beds that have inpatient facilities with 19 or fewer beds, and clinics without beds. Note that medical institutions handled by the medical data analysis system 20 include nursing care insurance facilities that provide nursing care services (nursing care welfare facilities for the elderly, nursing care health facilities for the elderly, nursing care medical facilities, and nursing care hospitals) in addition to facilities that provide medical care.

[0026] Hospitals are classified by function as designated function hospitals, community medical support hospitals, general hospitals, and psychiatric hospitals, and by stage of illness as chronic care hospitals, convalescent care hospitals, and acute care hospitals. Designated function hospitals provide advanced medical care and develop advanced medical technology. Community medical support hospitals provide support to family doctors who provide community medical care and emergency medical care. Psychiatric hospitals only have psychiatric beds and provide intensive treatment for mentally disabled people. Chronic care hospitals provide medical care during the chronic stage. Convalescent care hospitals provide medical care during the convalescent stage. Acute care hospitals provide medical care during the highly acute and acute stages. Acute care hospitals include DPC-eligible hospitals. DPC-eligible hospitals are hospitals that have participated in the DPC / PDPS and have been recognized for their medical performance. DPC / PDPS is a comprehensive per diem payment system based on diagnosis group classification for acute inpatient medical care. DPC-eligible hospitals include university hospitals, DPC-designated hospitals that provide advanced medical care equivalent to that of university hospitals, and DPC standard hospitals.

[0027] The functions assumed by medical institutions are the function of providing advanced and cutting-edge medical care, the function of providing comprehensive medical care, the function of responding to seriously ill patients, the function of meeting wide-ranging and continuous needs in the region, the function necessary to ensure medical care in the region, etc. In addition, the functions assumed by medical institutions are the function of pathological diagnosis, the function of radiation therapy, the function of intensive care, the function of emergency medical care, the function of rehabilitation, the function of diagnostic imaging, etc.

[0028] The functional index value, which indicates the level of the functions assumed by a medical institution, is an absolute value for each medical institution. The absolute value indicating the level of the functions assumed by a medical institution is calculated according to the degree to which the level meets the standard by comparing the level of the functions assumed by the medical institution with the predetermined standard for the functions assumed by the medical institution.

[0029] The medical institution master data is generated through a matching process by the control unit 21. The matching process is a comparison of one piece of public data to be compared with other data different from the public data. The medical institution master data may be generated through a merging process by the control unit 21. Note that the process of generating the medical institution master data may be executed by the control unit 21, or may be executed by another device connected to the medical data analysis system 20, and the other device may provide the medical master data to the medical data analysis system 20.

[0030] The public data for generating the medical institution master data is provided by each public institution related to the medical institution via an external server 10. The public data includes keys required for matching or merging processing. The key for generating the medical institution master data is the name of the medical institution. The key for generating the medical institution master data may be a medical institution number that is an identifier for the medical institution, or address information of the medical institution. At least one of the public data corresponds the name of the medical institution to the address information of the medical institution. The public data includes a facility overview table of DPC-targeted hospitals, performance data, bed function reports, and a list of medical institutions by code content.

[0031] The Facility Overview Table for DPC-eligible Hospitals is data published by the Ministry of Health, Labor and Welfare. The Facility Overview Table is data that associates each medical institution with a code number indicating the location of the medical institution, the name of the medical institution, the number of acute care beds, the number of convalescent care beds, and other information.

[0032] The performance data is published by the Ministry of Health, Labor and Welfare. The performance data shows the performance of hospitals approved to participate in the DPC / PDPS system. The performance data is used to calculate medical fees at DPC hospitals. The performance data matches the name of the DPC eligible hospital, the basic coefficient, functional assessment coefficient I, functional assessment coefficient II, and sudden change mitigation coefficient, which are the evaluation values ​​of the DPC hospital, with medical institutions. The performance data includes a breakdown of the functional assessment coefficient II.

[0033] The basic coefficient is a value set for a group of DPC-eligible hospitals organized according to the level of medical care they provide. Functional evaluation coefficient I shows structural factors at each medical institution, such as the medical institution's staffing and the functions possessed by the medical institution as a whole, as coefficients. Functional evaluation coefficient II is an absolute value calculated as the sum of the insured medical treatment coefficient, efficiency coefficient, complexity coefficient, coverage rate coefficient, emergency medical care coefficient, and community medical care coefficient. Each coefficient that makes up the Functional Evaluation Coefficient II is an absolute value that requires the functions performed by the medical institution, as determined by the coefficient. Functional evaluation coefficient II, or each coefficient that makes up the Functional Evaluation Coefficient II, is an example of a functional indicator value that shows the level of functions performed by a medical institution.

[0034] The Bed Function Report is data published by the Ministry of Health, Labor and Welfare. The Bed Function Report is data for hospitals and clinics with beds. The Bed Function Report is data that associates the name of the medical institution, the location of the medical institution, the medical function of each ward, the construction date of each ward, the building structure of each ward, the number of staff by job type, and the number of general beds and convalescent beds with each medical institution.

[0035] The list of medical institutions by code content is data published by the Regional Bureau of Health and Welfare. The list of medical institutions by code content is data that corresponds the name of the medical institution, the location of the medical institution, the number of hospital beds, the medical specialty of the medical institution, etc.

[0036] The medical data 222 may include inference assistance data such as topic data in addition to the medical institution master data. The inference assistance data is data other than the medical institution master data, and is data that assists in estimating the level of functions performed by the medical institution. The topic data associates the number of times information sent from the medical institution has been published in a specialist journal or the like, past construction information at the medical institution, and the like with the medical institution. The topic data is input from the input unit 23 through an operation by the administrator of the medical data analysis system 20.

[0037] [System Configuration] The control unit 21 is configured to obtain a data source for generating the map data 221 and a data source for generating the medical data 222 from the external server 10.

[0038] For example, the data acquisition unit 211 acquires format information for generating the map data 221 and geographic information for generating the map data 221 from the external server 10. The control unit 21 uses the format information and geographic information acquired by the data acquisition unit 211 to generate the map data 221 that integrates the format information and the geographic information.

[0039] For example, the data acquisition unit 211 acquires public data such as a facility overview table of DPC target hospitals, performance data, bed function reports, and a list of medical institutions by code content from the external server 10 to create the medical data 222. The input unit 23 accepts topic data to generate the medical data 222. The control unit 21 uses the various information acquired by the data acquisition unit 211 and the various information accepted by the input unit 23 to generate the medical data 222 through matching processing and merging processing.

[0040] The control unit 21 is configured to specify an evaluation area using the target of interest received by the input unit 23. The evaluation area is the area surrounding the medical institution in which the level of the functions performed by the medical institution is displayed as a relative value. The control unit 21 is configured to extract, from the medical data 222, medical institutions whose address information is included in the specified evaluation area, and specify the extracted medical institutions as comparative medical institutions.

[0041] The target of interest is, for example, an area that a user of the medical data analysis system 20 focuses on. The control unit 21 refers to the map data 221 and specifies the area input as the target of interest as an evaluation area. The control unit 21 refers to the medical data 222 and specifies all medical institutions whose address information is included in the evaluation area as medical institutions to be compared.

[0042] The target of interest is, for example, the name of a medical institution that a user of the medical data analysis system 20 focuses on. The control unit 21 refers to the medical data 222 and specifies the medical area associated with the address information of the target medical institution as an evaluation area. The control unit 21 specifies other medical institutions associated with the specified medical area and the target medical institution as medical institutions to be compared.

[0043] The target of interest is, for example, a location that a user of the medical data analysis system 20 focuses on. The control unit 21 refers to the medical data 222 and identifies a medical area including the target location as an evaluation area. The control unit 21 identifies all medical institutions associated with the identified medical area as medical institutions to be compared.

[0044] The target of interest is not limited to one region, but may be two regions connected to each other, or two regions separated from each other. The target of interest is not limited to one medical institution, but may be two or more medical institutions. When the target of interest is two or more regions, the control unit 21 identifies medical institutions whose address information is included in all of the target of interest regions as comparison target medical institutions. When the target of interest is two or more medical institutions, the control unit 21 identifies medical areas associated with all of the target of interest medical institutions as evaluation areas.

[0045] The control unit 21 acquires functional index values ​​of a plurality of medical institutions including all of the medical institutions to be compared. The control unit 21 is configured to compare each functional index value in a population of medical institutions including all of the medical institutions to be compared, and convert the functional index values ​​of the medical institutions to relative index values.

[0046] The data analysis unit 212 refers to the medical data 222 and acquires the functional index value of each medical institution from, for example, a population of medical institutions including a comparison target medical institution. The population of medical institutions is a set that serves as a data source for converting the functional index value into a relative index value.

[0047] The data analysis unit 212 uses all the acquired functional index values ​​to convert the functional index values ​​of each medical institution into relative index values. The relative index values ​​are relative values ​​of each functional index value as viewed from all the functional evaluation values ​​acquired by the data analysis unit 212. The relative index values ​​are values ​​that relatively indicate the level of function performed by each medical institution within a population of medical institutions.

[0048] An example of the relative index value is the deviation value of each functional index value. Another example of the relative index value is the ranking of each functional index value in the population of medical institutions acquired by the data acquisition unit 211. The relative index value may be a difference value between each functional index value and the average value of all the functional index values ​​acquired by the data acquisition unit 211. The relative index value may be both the deviation value of the functional index value and the ranking of the functional index value.

[0049] The data analysis unit 212 may add the topic data received by the input unit 23 to the calculation of the relative index value. For example, the data analysis unit 212 may calculate the functional index value of each medical institution such that the functional index value increases as the number of articles published in professional journals and the like increases.

[0050] The population of medical institutions is, for example, all medical institutions whose address information is included in the medical data 222. When all medical institutions whose address information is included in the medical data 222 are the population, the data analysis unit 212 may be configured to convert the functional index value of each medical institution into a relative index value of the medical institution prior to identifying a comparison target medical institution, and add the relative index value to the medical data 222. The conversion by the data analysis unit 212 may be performed each time the medical data 222 is updated.

[0051] The population of medical institutions may be divided, for example, into a hospital group consisting of DPC-applicable hospitals and a hospital group consisting of non-DPC-applicable hospitals. When the comparison target medical institution is a DPC-applicable hospital, the medical data analysis system 20 is configured to treat all DPC-applicable hospitals as a population of medical institutions and measure the level of functions performed by each DPC-applicable hospital from the perspective of all DPC-applicable hospitals. When the comparison target medical institution is a hospital other than a DPC-applicable hospital, the medical data analysis system 20 is configured to treat all hospitals other than DPC-applicable hospitals as a population of medical institutions and measure the level of functions performed by each hospital other than a DPC-applicable hospital from the perspective of all hospitals other than a DPC-applicable hospitals.

[0052] The population of medical institutions may be divided into hospital groups, for example, university hospital main hospital group (former group I (hereinafter also referred to as I)) associated with DPC eligible hospitals, DPC designated hospital group (former group II (hereinafter also referred to as II)), and DPC standard hospital group (former group III (hereinafter also referred to as III)). When the medical institution to be compared belongs to group I, the medical data analysis system 20 is configured to treat the entire university hospital main hospital group as the population and measure the level of functions performed by each medical institution belonging to the university hospital main hospital group from the perspective of the entire university hospital main hospital group. When the medical institution to be compared belongs to the DPC designated hospital group, the medical data analysis system 20 is configured to treat the entire DPC designated hospital group as the population and measure the level of functions performed by each medical institution belonging to the DPC designated hospital group from the perspective of the entire DPC designated hospital group.

[0053] In the case where these hospital groups are the population, the data analysis unit 212 may be configured to convert the functional index value of each medical institution into a relative index value of the medical institution prior to identifying the medical institution to be compared, and add the converted value to the medical data 222.

[0054] The population of medical institutions may be two or more comparative medical institutions, and may be only all comparative medical institutions whose address information is included in the evaluation area. The medical data analysis system 20 may be configured to measure the level of functions performed by each comparative medical institution from the perspective of all comparative medical institutions. In this case, the medical data analysis system 20 may be configured to measure the level of functions performed by each medical institution based on the entire medical institutions in a limited geographical range called the evaluation area.

[0055] In this way, the medical data analysis system 20 may be configured to measure the level of the functions performed by each medical institution from the perspective of a population of medical institutions having a common function or a population of medical institutions located in a common area. The population of medical institutions may be specified by the control unit 21 based on the function of interest received by the input unit 23.

[0056] The control unit 21 is configured to superimpose the medical institution layer L2 on the map layer L1 and display it on the display unit 24. The map layer L1 is an image layer showing lines dividing areas, coastlines, etc., and includes address information of medical institutions to be compared. The medical institution layer L2 is an image layer in which the address information of the medical institutions to be compared is associated with the relative index values ​​of the medical institutions to be compared.

[0057] The map creation unit 213 creates a map layer L1 using the map data 221 stored in the storage unit 22 and the evaluation area specified by the control unit 21. That is, the map creation unit 213 extracts style information including position information in the evaluation area and geographic information from the map data 221, and creates a map layer L1 corresponding to the evaluation area. In the map layer L1, coastlines and administrative divisions based on the extracted style information are arranged, and topographical maps and transportation facilities based on the extracted geographical information are arranged.

[0058] As shown in FIG. 2, an example of the map layer L1 includes a map displayed as a lower layer in the analysis map displayed on the display unit 24. The map layer L1 includes address information of each comparison target medical institution. The comparison target medical institutions are targets for which a comparison is made regarding the level of functions performed by the medical institutions. The evaluation area is an area identified by the control unit 21 based on the target of interest received by the input unit 23. The map layer L1 assists in estimating the demand for medical institutions in the evaluation area in an image.

[0059] For example, the map layer L1 contains place names such as "A City, B Town" and "C City, D Town" that allow the population size to be estimated. The map layer L1 also contains topographical maps such as mountains L11 and rivers L12 that create restrictions on the routes through which the population flows.

[0060] For example, on the map layer L1, transportation facilities such as railways L13, stations L13A, and roads L14 that promote population flow between regions are arranged. Also, on the map layer L1, cultural facilities such as schools L15 and sports facilities such as parks L16 that stabilize the population increase and decrease in the region are arranged.

[0061] For example, amusement facilities such as shopping centers L17 that regularly generate large population flows, and business facilities such as offices L18 are located on the map layer L1. Disaster evacuation sites L19 and predicted damage areas L20 that help estimate the functional level required of medical institutions are also located on the map layer L1.

[0062] The map creation unit 213 creates a medical institution layer L2 using the medical data 222 stored in the storage unit 22, the evaluation area specified by the control unit 21, and the like. The medical institution layer L2 includes information on the comparison target medical institution displayed as an upper layer in the analysis map displayed on the display unit 24. That is, the map creation unit 213 acquires relative index values ​​and the like of the comparison target medical institution, which is a medical institution whose address information is included in the evaluation area, and creates a medical institution layer L2 corresponding to the evaluation area.

[0063] In the medical institution layer L2, relative indexes are arranged so that the relative indexes of the medical institutions to be compared are arranged in the position information of the medical institutions to be compared. In addition, other information than the relative indexes is also arranged so that information other than the relative indexes of the medical institutions to be compared is arranged in the position information of the medical institutions to be compared.

[0064] 3, an example of the medical institution layer L2 includes a medical institution icon 31 for each medical institution to be compared in the address information of the medical institution to be compared. The medical institution icon 31 includes a current status display 32 and a transition indicator 33.

[0065] The current status display 32 includes relative index values ​​32A, 32B of the medical institution to be compared within a circular icon. The relative index value 32A indicates, for example, a group of DPC-eligible hospitals and the ranking of the functional index value within that group of hospitals. In FIG. 3, the medical institution to be compared is a hospital belonging to the "DPC standard hospital group (formerly group III)," and the functional index value is "46th" among the hospitals belonging to the DPC standard hospital group. The relative index value 32B indicates, for example, the standard deviation value of the functional index value among the group of DPC-eligible hospitals. In FIG. 3, the standard deviation value of the functional index value of the medical institution to be compared is "52.8" among the hospitals belonging to the DPC standard hospital group.

[0066] The current status display 32 may have, outside the current status display 32, the name of the comparative medical institution associated with the current status display 32. The current status display 32 may indicate the scale of the functions performed by the comparative medical institution associated with the current status display 32 as an absolute value.

[0067] For example, the current status display 32 may show different hues and brightness for each group of DPC target hospitals. This allows the user to understand which hospital group the compared medical institution belongs to, as information other than the relative comparison value, and makes it easy for the user to infer the geographical grouping of hospital groups among the multiple compared medical institutions. The current status display 32 may also show different hues and brightness for each level of the relative index value. This also makes it possible for the user to understand the level of the functions performed by the compared medical institution through color sense.

[0068] The circular icons for DPC hospitals and non-DPC hospitals may have different shapes. For example, the circular icons for DPC hospitals may have a circular shape, while the circular icons for non-DPC hospitals may have a rectangular shape (see medical institution icon 35 in FIG. 4). This makes it easy for users to understand the scale of the functions performed by the medical institutions being compared, as information other than the relative comparison value, and to estimate the geographical distribution of functions among multiple medical institutions being compared.

[0069] The circular icon may be given a different line type for each classification of emergency designated hospitals, which are an example of a group of medical institutions. For example, the circular icon of a comparison target medical institution corresponding to an advanced emergency medical center may be surrounded by a thick solid line outer edge, as shown in FIG. 3, while the circular icon of a comparison target medical institution corresponding to an emergency medical center may be surrounded by a thick dashed line outer edge. Also, the circular icon of a comparison target medical institution corresponding to a secondary emergency medical institution may be surrounded by a thin dashed line outer edge. This makes it easy for users to understand that emergency medical care is one of the functions performed by the comparison target medical institution as information other than the relative comparison value, and to estimate the geographical range that may be subject to emergency medical care. A group of medical institutions is a collection of medical institutions to which a unique circular icon is applied, and may be classified into six categories of medical facilities, such as designated emergency hospitals and regional medical support hospitals, as defined by the Medical Care Act, in addition to the classification of emergency designated hospitals. Also, a group of medical institutions may be classified into 26 categories defined by the Ministry of Health, Labor and Welfare based on the founders, such as private school corporations and medical corporations.

[0070] The current status display 32 may have a different size depending on the level of the number of hospital beds possessed by the compared medical institution. For example, the current status display 32 of a compared medical institution having 400 or more licensed hospital beds may be larger than the current status display 32 of a compared medical institution having 200 to less than 400 licensed hospital beds. Also, the current status display 32 of a compared medical institution having 200 to less than 400 licensed hospital beds may be larger than the current status display 32 of a compared medical institution having less than 200 licensed hospital beds.

[0071] The transition indicator 33 is provided outside the current status display 32. The transition indicator 33 indicates the transition of the level of the functions performed by the medical institution to be compared. The transition indicator 33 may indicate the transition of the relative index value of the medical institution to be compared. This allows the user to understand whether the level of the functions performed by the medical institution to be compared is improving or declining.

[0072] The transition index 33 is, for example, an increase or decrease in the ranking of the functional index value. In FIG. 3, the arrow of the transition index 33 is pointing upward, which indicates that the ranking of the functional index value at the compared medical institution has increased. Also, the number inside the arrow of the transition index 33 is "9", which indicates that the ranking has changed by "9". In other words, this indicates that the ranking of the functional index value at the compared medical institution has increased by nine places.

[0073] The trend indicator 33 may indicate a comparison target medical institution for which the level of the previous year is not registered, that is, a comparison target medical institution that opened this year, as "new." This makes it possible for users to grasp the newly opened medical institutions among multiple comparison target medical institutions.

[0074] The medical institution icon 31 may show actual values ​​or estimated values ​​related to the level of functions performed by the compared medical institution instead of or in addition to the trend indicator 33. Actual values ​​related to the level of functions performed by the compared medical institution are the bed occupancy rate, the number of beds in a specific ward such as an intensive care unit, and the number of nursing care beds at the compared medical institution. Also, actual values ​​related to the functions performed by the compared medical institution are whether the compared medical institution has earthquake resistance or not, and the age of the building. Also, estimated values ​​related to the level of functions performed by the compared medical institution are the number of hospital beds estimated to be insufficient based on the medical plan, and include the number of reallocated hospital beds announced as a plan.

[0075] When the object of interest received by the input unit 23 is the name of a medical institution, the medical institution layer L2 may arrange a medical attendance area C2 (see Figure 4) as a circle having a predetermined diameter centered on the medical institution icon 31 associated with the medical institution.

[0076] The map creation unit 213 overlays the medical institution layer L2 on the map layer L1 and displays the two layers L1, L2 on the display unit 24. The analysis map in which the medical institution layer L2 is overlaid on the map layer L1 is the analysis result of the medical data analysis system 20.

[0077] The relative positions of various geographical elements and administrative divisions included in the map layer L1 are determined based on the coordinate system of the map space so as to be consistent with the relative positions in the real space. The relative positions of the multiple medical institution icons 31 included in the medical institution layer L2 are determined based on the coordinate system of the map space so as to be consistent with the relative positions in the real space. The relative positions of the various geographical elements and administrative divisions included in the map layer L1 and the multiple medical institution icons 31 included in the medical institution layer L2 are also determined based on the coordinate system of the map space so as to be consistent with the relative positions in the real space.

[0078] As shown in Figure 4, one example of an analysis map places medical institution icon 31 described in Figure 3 at the location of DPC-eligible hospitals among the medical institutions being compared, and places rectangular medical institution icon 35 at locations other than DPC-eligible hospitals.

[0079] The map layer L1, which places geographic information related to population size, indicates the demand for medical institutions in each region. The medical institution layer L2, which places the level of functions performed by the comparison medical institutions as relative index values, indicates the supply of medical institutions in each region. The analysis map, which overlays the map layer L1 and the medical institution layer L2, makes it possible to assist in estimating the balance of demand and supply of medical institutions in the evaluation area. As a result, it becomes possible to improve the accuracy of estimations regarding the surplus or shortage of medical institutions in the evaluation area, as well as the need for expansion at the medical institutions of interest.

[0080] [Medical data analysis methods] In the medical data analysis method executed by the medical data analysis system 20, first, the control unit 21 acquires a data source for generating the map data 221 and a data source for generating the medical data 222 from the external server 10 (step S21).

[0081] The control unit 21 uses the acquired data source to generate map data 221. The control unit 21 also uses the acquired data source to execute a matching process or a merging process to generate medical data 222. The control unit 21 stores the generated map data 221 and medical data 222 in the storage unit 22.

[0082] Next, the control unit 21 identifies an evaluation area using the target of interest received by the input unit 23 (step 22). If the target of interest is the name of a medical institution, the control unit 21 identifies a predetermined range, such as a medical district in which the medical institution is included, as the evaluation area. If the target of interest is a region, the control unit 21 identifies the region as the evaluation area. The control unit 21 refers to the medical data 222 and identifies medical institutions located in the identified evaluation area as medical institutions to be compared.

[0083] Next, the control unit 21 identifies a population of medical institutions including the comparison target medical institution, and identifies the relative index value of each comparison target medical institution in the identified population (step S23). In addition, when the relative index value can be converted before identifying the medical institution to be compared, for example, when all medical institutions included in the medical data 222 are used as the population, or when a group of hospitals is used as the population, the control unit 21 converts the functional index value of each medical institution into a relative index value for each population in advance. Then, the control unit 21 extracts the relative index value of the medical institution to be compared from the medical data 222. In addition, when the population is identified based on the function of interest accepted by the input unit 23, the control unit 21 extracts the functional index values ​​of all medical institutions constituting the population from the medical data 222, and converts the functional index values ​​of the medical institution to be compared into relative index values ​​using the extracted functional index values.

[0084] Next, the control unit 21 creates a map layer L1 based on the identified evaluation area, and creates a medical institution layer L2 based on the identified comparison target medical institutions and their relative index values. The control unit 21 creates an analysis map by superimposing the map layer L1 and the medical institution layer L2 (step S24), and displays the created analysis map on the display unit 24 (step S25).

[0085] According to the above embodiment, the following effects can be obtained. (1) The level of functions performed by the medical institutions being compared is displayed on the analysis map as a relative index value, which makes it possible to improve the accuracy of estimations regarding the surplus or shortage of medical institutions within the evaluation area, as well as the need for expansion at the medical institution of interest.

[0086] (2) In particular, when the relative index value is displayed as a standard deviation value for a group of hospitals, it becomes possible to grasp the level of the functions performed by a particular medical institution without grasping the number of medical institutions that make up the population of medical institutions. It also becomes possible to compare the level of the functions performed by a particular medical institution with other medical institutions in the evaluation area, and to compare the level of the functions performed by all medical institutions in the evaluation area with the level of the entire region.

[0087] (3) Since the medical institution layer L2 is overlaid on the map layer L1, which contains geographic information related to population size, it is also possible to assist in estimating the balance of demand and supply of medical institutions in the evaluation area.

[0088] (4) In particular, when the evaluation area includes multiple medical institutions for comparison, it becomes possible to grasp in detail the population size of the surrounding area of ​​each medical institution for comparison and the level of functions performed by the said medical institutions for comparison. Therefore, it becomes easier to estimate the level of functions performed by each medical institution for comparison.

[0089] (5) When the relative index value is displayed as a standard deviation or ranking of the functional evaluation coefficient II, the same effect as in (2) above can be obtained and it becomes possible for users to understand the content of the functions converted into standard deviation values, such as the function of providing advanced or cutting-edge medical care or the function of providing comprehensive medical care.

[0090] (6) When evacuation sites L19 and damage prediction areas L20 are placed on the map layer L1, it becomes possible for users to estimate the level of functionality required of medical institutions in the event of a disaster. As a result, it becomes possible to further improve the accuracy of estimation regarding the surplus or shortage of medical institutions within the evaluation area, as well as the accuracy of estimation regarding the need for expansion of a medical institution of interest.

[0091] The above embodiment can be modified as follows. [First change example] The medical data analysis system 20 may display on the analysis map that a collaboration exists between a comparison target medical institution and other comparison target medical institutions that collaborate with the comparison target medical institution. For example, when creating the medical institution layer L2, the control unit 21 may refer to the medical data 222 and check for each comparison target medical institution whether or not there is collaboration between the comparison target medical institution and other comparison target medical institutions. Then, when a comparison target medical institution that collaborates with each other is recognized, the control unit 21 may be configured to include collaboration information L2L indicating the existence of collaboration between the corresponding comparison target medical institutions in the medical institution layer L2.

[0092] As shown in Fig. 6, the link information L2L is, for example, a straight line connecting medical institution icons 31 and 35. In the example shown in Fig. 6, it is possible to allow a user to understand that there is a link between a DPC-targeted hospital and a non-DPC-targeted hospital located in the vicinity of the DPC-targeted hospital.

[0093] (7) Cooperation between acute care hospitals and rehabilitation hospitals or chronic care hospitals can be said to be cooperation that raises the level of comprehensive medical care provision functions. By making users aware of the existence of such cooperation, it is possible to estimate the relative index value of each comparison target medical institution as an index value for the comparison target medical institutions as a whole. In other words, even if the level of the functions performed by the comparison target medical institution in question is estimated to be excessive or insufficient from the relative index value, it is possible to reconsider the estimated excess or insufficiency by understanding the functions and their levels performed by other comparison target medical institutions that cooperate with the comparison target medical institution in question.

[0094] [Second modification example] The medical data analysis system 20 may display the data source used to convert the relative index value and its trends in response to a display request received by the input unit 23. The medical data analysis system 20 may also display data related to the level of functions performed by medical institutions and its trends in response to a display request received by the input unit 23.

[0095] For example, the control unit 21 may be configured to refer to the medical data 222 and extract the functional index value used in converting the relative index value and its breakdown in response to a display request received by the input unit 23. The control unit 21 may then be configured to include the extracted functional index value as a numerical value or a graph in the medical institution layer L2 and update the analysis map. Furthermore, the control unit 21 may be configured to use the breakdown of the functional index value used in converting the relative index value to convert the deviation value or ranking by item, include it in the medical institution layer L2, and update the analysis map.

[0096] In addition, item-specific relative values ​​such as item-specific standard deviations and rankings are also configured to be converted from item-specific performance values ​​in a population of medical institutions including all medical institutions to be compared. In this case, the population of medical institutions used to convert the item-specific relative values ​​is the same as the population used to convert the relative index values. In addition, the process order in which the conversion of the item-specific relative values ​​is performed is also the same as the process order in which the conversion of the relative index values ​​is performed.

[0097] 7, the input unit 23 may accept a click on the medical institution icon 31 as a display request. In this case, the click may be accepted as a display request for the data source used to convert the relative index value of the medical institution associated with the medical institution icon 31.

[0098] In addition, the control unit 21 may extract the data source used to convert the relative index value of the medical institution, convert each coefficient that makes up the functional evaluation coefficient II into a standard deviation value, and arrange the standard deviation values ​​of each coefficient as a radar chart 36 on the medical institution layer L2.

[0099] For example, as shown in Fig. 8, the control unit 21 may extract data related to the level of functions assumed by the medical institution from the medical data 222, and arrange the extracted data as a graph 37 on the medical institution layer L2. The control unit 21 may display the number of hospital beds by bed type, the average length of stay, topic data, etc., as data related to the level of functions assumed by the medical institution. In this case, the control unit 21 may arrange a window 38 on the medical institution layer L2 that allows the selection of the display of the transition related to the level of functions assumed by the medical institution, such as "Number of reported hospital beds," "Annual transition," and "Four functions and six years later."

[0100] In addition, data related to the level of functions performed by medical institutions may be actual values ​​by item in the functional index values, or actual values ​​that are not used to convert relative index values. (8) The item relative value is a relative value obtained by further subdividing the functions performed by the medical institutions being compared than the relative index value. Therefore, it is possible to assist in estimating the surplus or deficiency of the details of the functions performed by the medical institutions being compared.

[0101] [Other changes] The medical data analysis system 20 may place the population of each region or a heat map according to the population on the map layer L1. This can further assist in understanding the population scale on the analysis map.

[0102] The medical institution icon 31 may display only the deviation value of the functional index value in the population as the relative index value, or may display only the rank of the functional index value in the population. The control unit 21 may be configured to refer to the medical data 222 and display a list of medical institutions that perform the function as a search key for the function performed by the medical institution. For example, the control unit 21 identifies the target function of the medical institution that serves as the search key based on a search request received by the input unit 23. The control unit 21 refers to the medical data 222 and displays a list in which the name, address information, hospital group, etc. of each medical institution that performs the target function are associated with the medical institution. This makes it easy for users of the medical data analysis system 20 to set the name and address information of the medical institution as the evaluation target.

[0103] The medical data analysis system 20 may be configured to change the relative index value included in the medical institution icon 31 based on the index selection value received by the input unit 23. For example, when the index selection value received by the input unit 23 is a standard deviation, the control unit 21 may be configured to refer to the medical data 222, extract or convert the standard deviation of the compared medical institution, and set the relative index value to be included in the medical institution icon 31 as the standard deviation when creating the medical institution layer L2. Also, when the index selection value received by the input unit 23 is a ranking, the control unit 21 may be configured to refer to the medical data 222, extract or convert the ranking of the compared medical institution, and set the relative index value to be included in the medical institution icon 31 as the ranking when creating the medical institution layer L2.

[0104] The control unit 21 may include address information of the medical institution to which the medical institution is to be relocated in the medical data 222. The control unit 21 may place the medical institution icons 31, 35 associated with the medical institution to be compared in the current address information and the address information of the relocated medical institution of the medical institution to be compared. At this time, as shown in Fig. 9, the control unit 21 may place an arrow 39 or the like extending from the current address information to the address information of the relocated medical institution on the medical institution layer L2, and may lower the brightness of the medical institution icons 31, 35 placed in the address information of the relocated medical institution.

[0105] According to this, the relocation information of the compared medical institutions is displayed on the analysis map, making it possible to estimate the level of functions that the compared medical institutions will perform, taking into account the surrounding environment after the relocation.

[0106] The control unit 21 may include data on whether or not the medical institution covers five diseases, including cancer, stroke, acute myocardial infarction, diabetes, and mental illness, and five services, including emergency medical care, medical care in disasters, medical care in remote areas, perinatal medical care, and pediatric medical care, in the medical data 222. The control unit 21 may add information to the medical institution icons 31 and 35 that the medical institution covers the five diseases and the five services. [Explanation of symbols]

[0107] L1...map layer, L2...medical institution layer, L20...predicted damage area, L2L...linked information, 10...external server, 20...medical data analysis system, 21...control unit, 22...memory unit, 23...input unit, 24...display unit, 211...data acquisition unit, 212...data analysis unit, 213...map creation unit, 221...map data, 222...medical data, 31,35...medical institution icon, 32...current status display, 32A,32B...relative index value, 33...transition index.

Claims

1. A medical data analysis system comprising a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, The control unit: Identifying an evaluation area in which the medical institutions are compared; Acquire the functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area; The functional index values ​​are converted into relative index values ​​of the medical institutions to be compared, A medical data analysis system characterized by overlaying a medical institution layer in which an icon including the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared with a map layer including the address information of the medical institution to be compared on a display unit.

2. A medical data analysis system comprising a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, The control unit: Identifying an evaluation area in which the medical institutions are compared; Acquire the functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area; The functional index values ​​are converted into relative index values ​​of the medical institutions to be compared, A medical data analysis system characterized by overlaying a medical institution layer in which a trend index indicating the trend in the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared with a map layer containing the address information of the medical institution to be compared, and displaying the same on a display unit.

3. The control unit places, in the medical institution layer, collaboration information indicating the existence of collaboration between the comparison medical institution and another medical institution. The medical data analysis system according to claim 1 .

4. The control unit places a line connecting the medical institutions to be compared as the link information. The medical data analysis system according to claim 3 .

5. The control unit arranges geographic information within the evaluation area on the map layer. The medical data analysis system according to claim 1 .

6. The functional index value includes a functional evaluation coefficient II associated with a DPC target hospital, The relative index value includes the deviation value of the function evaluation coefficient II. The medical data analysis system according to any one of claims 1 to 5.

7. The functional index value includes a functional evaluation coefficient II associated with a DPC target hospital, The relative index value includes the ranking of the function evaluation coefficient II. The medical data analysis system according to any one of claims 1 to 6.

8. The functional index value includes a functional evaluation coefficient II associated with a DPC target hospital, The relative index value includes the deviation value and the ranking of the function evaluation coefficient II. The control unit arranges, in the medical institution layer, a circular icon that is different for each medical institution group in association with the address information of the DPC target hospital, and includes the deviation value and the ranking of the DPC target hospital in the circular icon. The medical data analysis system according to any one of claims 1 to 7.

9. The control unit arranges a predicted damage range in the event of a disaster on the map layer. The medical data analysis system according to any one of claims 1 to 8.

10. A method for analyzing medical data using a medical data analysis system including a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, comprising: The control unit: Identifying an evaluation area in which the medical institutions are compared; Acquire functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area, and convert each functional index value into a relative index value of the comparison target medical institution; A medical data analysis method characterized by overlaying a medical institution layer in which an icon including the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared with a map layer including the address information of the medical institution to be compared, and displaying the same on a display unit.

11. A method for analyzing medical data using a medical data analysis system including a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, comprising: The control unit: Identifying an evaluation area in which the medical institutions are compared; Acquire functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area, and convert each functional index value into a relative index value of the comparison target medical institution; A medical data analysis method characterized by overlaying a medical institution layer in which a trend index indicating the trend in the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared with a map layer including the address information of the medical institution to be compared, and displaying the result on a display unit.

12. A program for analyzing medical data using a medical data analysis system including a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, The control unit, Identifying an evaluation area in which the medical institutions are compared; Acquire functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area, and convert each functional index value into a relative index value of the comparison target medical institution; A medical data analysis program characterized by functioning as a means for overlaying a medical institution layer in which an icon including the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared on a map layer including the address information of the medical institution to be compared, and displaying the same on a display unit.

13. A program for analyzing medical data using a medical data analysis system including a control unit connected to a storage unit that stores medical data including address information and functional index values ​​of each medical institution and that analyzes the medical data, The control unit, Identifying an evaluation area in which the medical institutions are compared; Acquire functional index values ​​of a plurality of medical institutions including a comparison target medical institution whose address information is included in the evaluation area, and convert each functional index value into a relative index value of the comparison target medical institution; A medical data analysis program characterized by functioning as a means for overlaying a medical institution layer in which a trend index indicating the trend in the relative index value of the medical institution to be compared corresponds to the address information of the medical institution to be compared on a map layer including the address information of the medical institution to be compared, and displaying the same on a display unit.

Images