Frailty diagnosis support device, frailty diagnosis support method, and frailty diagnosis support program
The frailty diagnosis support device addresses the challenge of early frailty detection by integrating health and dental data from multiple systems, facilitating accurate and timely frailty diagnosis and improving healthcare outcomes for the elderly.
Patent Information
- Application Number
- JP2023205215
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-12-05
- Publication Date
- 2025-06-17
- Estimated Expiration
- 2043-12-05
AI Technical Summary
Current medical systems lack an effective method to support early detection of frailty in elderly individuals, which is crucial for timely intervention and improving healthcare outcomes.
A frailty diagnosis support device connected to national health insurance systems, health examination management systems, long-term care insurance systems, and national health insurance databases, which extracts and processes data to support frailty diagnosis by incorporating dental receipt information and remaining tooth number analysis.
The system enables accurate and timely frailty diagnosis by integrating various health data sources, enhancing the ability to detect frailty and implement preventive measures.
Smart Images

Figure 2025090159000001_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a frailty diagnosis support device, a frailty diagnosis support method, and a frailty diagnosis support program.
Background Art
[0002] As a comprehensive medical cooperation system utilizing patient information, a technology is disclosed that displays only the information necessary for dental medical staff, caregivers, or patients / family members who operate the terminal, according to the attributes of the user and the terminal.
[0003] In the information processing system of Patent Document 1, "an information processing system in which a plurality of terminals and a server are connected by a network. When patient information is input to any one of the plurality of terminals, if the attribute of the user of the terminal is input by an input means, the attribute of the user is set in the server, input items corresponding to the attribute of the user are set in the terminal, and when patient information is sent based on the input items by the input means, the patient information is stored by a storage means. When patient information is displayed by any one of the plurality of terminals, if the attribute of the user of the terminal is input by an input means, the attribute of the user is set in the server, display information corresponding to the attribute of the user and the patient information is selected by a selection means, and the selected information is displayed by a display means" is disclosed.
Prior Art Documents
Patent Documents
[0004]
Patent Document 1
Summary of the Invention
Problems to be Solved by the Invention
[0005] The system of Patent Document 1 is a comprehensive medical cooperation system that utilizes patient information. It can display only the information necessary for dental, medical, and nursing care professionals who operate the terminal, or patients / family members, according to the attributes of the user and the terminal.
[0006] On the other hand, in promoting the health care business for the elderly, it has been desired for health care officials in municipalities to detect the frail state at an early stage and take countermeasures. Frailty refers to a state that is highly likely to require support or nursing care, which is emphasized in the integrated implementation measures for medical and nursing care prevention of the elderly. Based on the increasing proportion of the elderly in the population, there is an issue of promoting a plan to implement medical care and nursing care integrally and extend the healthy life expectancy.
[0007] The present invention has been made to solve the above-described problems, and an object thereof is to provide a frailty diagnosis support device, a frailty diagnosis support method, and a frailty diagnosis support program that can support frailty diagnosis.
Means for Solving the Problems
[0008] To achieve the above object, the frailty diagnosis support device of the present invention is a frailty diagnosis support device that is connected to the national health insurance comprehensive system, the health examination management system, the long-term care insurance system, and the national health insurance database via a network and supports frailty diagnosis. The frailty diagnosis support device includes a data extraction unit that extracts data in the national health insurance comprehensive system, the health examination management system, the long-term care insurance system, and the national health insurance database; a data processing unit that processes the extracted data into individual medical information by matching individuals across insurance systems; a dental receipt data processing unit that obtains dental receipt information from the national health insurance comprehensive system and calculates individual remaining tooth number information; an analysis data construction unit that adds the individual remaining tooth number information to the individual medical information to process it into information capable of frailty diagnosis; and a data display processing unit that processes the individual data received from the analysis data construction unit in time series. Other aspects of the present invention will be described in the embodiments described later.
Effects of the Invention
[0009] According to the present invention, frailty diagnosis can be supported.
Brief Description of the Drawings
[0010]
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Embodiments for Carrying Out the Invention
[0011] Embodiments for carrying out the present invention will be described in detail with reference to the drawings as appropriate. In the embodiment, a specific health examination data management system is referred to as a "health examination management system". The National Health Insurance Federation is referred to as the "NHIF" or the "National Health Insurance Federation". <Overall Configuration> FIG. 1 is a diagram showing a frailty diagnosis support apparatus 100 according to an embodiment. The frailty diagnosis support apparatus 100 is connected via a network 401 of the national health insurance consortium environment to a national health insurance comprehensive system 210, a health examination management system 220, a long-term care insurance system 230, and a KDB (national health insurance database) 240. The frailty diagnosis support apparatus 100 extracts data held by each system, creates information such as an individual's medical history, medical treatment history, and health examination history, and displays it on a national health insurance terminal 300 of a national health insurance consortium staff member, a prefectural government, and a health terminal 310 of a city, town, or village staff member. The health terminal 310 is connected to the frailty diagnosis support apparatus 100 via the DMZ / reverse proxy 4 from the network 402 of the central association. Note that DMZ is an abbreviation for DeMillitarized Zone. By placing a DMZ, even if there is unauthorized access from the outside, it is separated from the internal network, so there is a security effect.
[0012] The national health insurance comprehensive system 210 is a system of the national health insurance consortium outside the central association. Since it conducts the joint processing operations of insurers, unlike the payment fund, it is a system in which a system such as an insurer joint processing system (unique to national health insurance) is incorporated following the review and payment system, and it is also arranged in the national health insurance associations of 47 prefectures. The national health insurance comprehensive system 210 has medical, dispensing, DPC receipt data 211, and dental receipt data 212. The frailty diagnosis support apparatus 100 analyzes the medical, dispensing, and DPC data held by the national health insurance consortium of the national health insurance comprehensive system 210, adding dental receipts as the analysis target. Note that DPC is the Diagnosis Procedure Combination comprehensive assessment.
[0013] The health examination management system 220 has health examination result data 221 and health guidance data 222. The frailty diagnosis support apparatus 100 analyzes the health examination results and health guidance information held by each city, town, and village held by the health examination management system 220.
[0014] The long-term care insurance system 230 has long-term care receipt data 231. The frailty diagnosis support apparatus 100 analyzes the long-term care receipt data held by each city, town, and village held by the long-term care insurance system 230.
[0015] The KDB (National Insurance Database) 240 has KDB matching data 241 and insured person ledger data 242. The frailty diagnosis support device 100 analyzes the insured person information held by the KDB 240.
[0016] <Frailty Diagnosis Support Device> The frailty diagnosis support device 100 has a processing unit 10, a storage unit 20, an input unit 1, an output unit 2, and a communication unit 3. The processing unit 10 has a data extraction unit 11, a data processing unit 12, a dental receipt data processing unit 13, an analysis data construction unit 14, a data display processing unit 15, etc.
[0017] The storage unit 20 stores the extraction data 21 extracted by the data extraction unit 11, the processed data 22 processed by the data processing unit 12 and the dental receipt data processing unit 13, the analysis data 23 analyzed by the analysis data construction unit 14, the display data 24 subjected to display processing by the data display processing unit 15, the tooth identification data 25, etc.
[0018] The display data 24 is the annual change in the number of remaining teeth 71, the medical history by injury / sickness 72, the list of work histories 73, the list of health check results 74, the list of home medical care / medical receipts 75, the list of home medical care / nursing care receipts 76, the detailed annual change in the number of remaining teeth 90, etc. shown in FIGS. 7, 8, and 9. The details will be described later.
[0019] The tooth identification data 25 is the tooth formula code 41, the tooth type value 42, the status value 43, and the partial value 44 shown in FIGS. 4 and 5. The details will be described later.
[0020] (Processing Unit) The data extraction unit 11 extracts data in the national insurance integrated system 210, the health check management system 220, the long-term care insurance system 230, and the KDB 240. The data processing unit 12 processes the extracted data into individual medical information by matching individuals across insurance systems. The dental receipt data processing unit 13 obtains dental receipt information from the national insurance integrated system 210 and calculates individual remaining tooth number information. The analysis data construction unit 14 processes the individual medical information by adding the individual remaining tooth number information to obtain information that can be used for frailty diagnosis. The data display processing unit 15 processes the individual data received from the analysis data construction unit 14 in chronological order.
[0021] (Data of each system) The medical, dispensing, and DPC receipt data 211 has, as example information elements, the medical institution name, medical treatment information (admission date, department of medicine, medical treatment, etc.), personal information, insured person information, etc. The dental receipt data 212 has, as example information elements, the medical institution name, medical treatment information (date of medical treatment, dental treatment, etc.), personal information, insured person information, etc. The health check result data 221 has, as example information elements, the insured person information, examination result information, health check implementation date information, etc. The health guidance data 222 has, as example information elements, the health guidance date, insured person number, personal information, health guidance implementation information, etc. The nursing care receipt data 231 has, as example information elements, the insured person number, nursing care service information (service provision date, etc.), nursing care required information, etc. The KDB matching data 241 has, as example information elements, the KDB processing date, KDB personal number, insurer number, medical institution code, medical treatment start date, etc. The insured person master data 242 has, as example information elements, the KDB personal number, national health insurance insurer number, long-term care insurance insurer number, personal information, degree of care required information, etc.
[0022] In FIG. 1, the processing unit 10 is a central processing unit (CPU) that executes various programs stored in a RAM, HDD, etc. The storage unit 20 is an HDD that stores various data for the frailty diagnosis support device 100 to execute processing. The input unit 1 is a device for inputting instructions to a computer such as a keyboard and a mouse, and inputs instructions such as program startup. The output unit 2 is a display or the like that displays the execution status and execution results of the processing by the frailty diagnosis support device 100. The communication unit 3 exchanges various data and commands with other devices via the networks 401 and 402.
[0023] FIG. 2 is a diagram showing the features of the frailty diagnosis support device 100 according to the embodiment. As described above, frailty is a "state highly likely to require support or care", which is emphasized in the integrated implementation measures for medical and nursing care prevention of the elderly. Considering the increase in the elderly population composition, it is necessary to implement medical care and nursing care integrally and promote a plan to extend the healthy life expectancy.
[0024] The national health insurance integrated system 210 has conventionally held dental receipt data 212, but only the amount of dental treatment has been used from the perspective of processing a large amount of receipt data, and the effective use of dental receipt data has not been achieved.
[0025] In the present embodiment, it is characterized in that, for the purpose of detecting a sign of decline in motor function from a dental receipt, in particular, the number of remaining teeth is analyzed.
[0026] To live a healthy and energetic life, it is important to have appropriate nutrition intake, oral health, exercise, and social participation, and the following are the key points for preventing frailty. (1) Appropriate nutrition intake: It is important to eat three meals a day regularly and take a balanced diet, and to be conscious of taking protein to prevent malnutrition. (2) Oral health: Since oral health is related to overall health, oral cleaning, regular check-ups, and oral gymnastics are important. (3) Exercise: Make exercise a habit, maintain physical strength, and maintain muscle strength to live an independent life. (4) Social participation: "Social participation" activates mental and physical activities. Participate in volunteer activities and "places to go".
[0027] <Utilization of dental receipt data> FIG. 3 is a diagram showing the configuration of dental receipt-related data. FIG. 4 is a diagram showing the contents of the dental formula code 41 and the tooth type value 42. FIG. 5 is a diagram showing the contents of the status value 43 and the partial value 44. FIG. 6 is a flowchart showing the dental receipt data processing.
[0028] Figure 3 shows dental receipt source data 31, dental extraction disease name master data 32 for tooth types, processed dental receipt data 33, data 34 after conversion processing, and remaining tooth number management data 35. The dental receipt source data 31 includes a receipt key, year, disease name code, and tooth formula code. The composition of the tooth formula code (for example, 103410) will be described with reference to FIGS. 4 and 5.
[0029] The tooth formula code 41 consists of 6 digits and is composed of 4 digits of the tooth type value 42, 1 digit of the status value 43, and 1 digit of the partial value 44. The tooth type value 42 has values for permanent teeth and deciduous teeth. In the case of permanent teeth, positions 1011 - 1018 are determined for the right upper jaw, 1021 - 1028 for the left upper jaw, 1031 - 1038 for the left lower jaw, and 1041 - 1048 for the right lower jaw. Similarly, in the case of deciduous teeth, positions 1051 - 1055 are determined for the right upper jaw, 1061 - 1065 for the left upper jaw, 1071 - 1075 for the left lower jaw, and 1081 - 1085 for the right lower jaw. The status value 43 is composed of 0 - 9. For example, "0" represents an existing tooth, and "2" represents a missing tooth. The partial value 44 is composed of 0 - 8. For example, "0" means no partial designation.
[0030] Returning to FIG. 3, it can be seen that the tooth indicated by the tooth formula code "103410" is a tooth in the left lower jaw of permanent teeth and is an existing tooth.
[0031] The dental extraction disease name master data 32 for tooth types includes a disease name code and a status code, and is obtained by extracting the disease name code in the dental receipt source data and setting the tooth status (tooth present / absent) information.
[0032] The processed dental receipt data 33 is composed of a receipt key, year, disease code, tooth formula code, and status code. That is, the processed dental receipt data 33 is data in which the tooth status code corresponding to the disease code is additionally set in the original dental receipt data 31. In an example of the processed dental receipt data 33, in the record where the disease code is "8844867", the tooth status is "with teeth", but in the record where the disease code is "8843836", the tooth status is "toothless".
[0033] The data 34 after conversion processing is the data after conversion processing of the processed dental receipt data 33, and is composed of an individual matching key, year, and tooth type value 42. The data 34 after conversion processing is data indicating the tooth status code for each year with respect to the processed dental receipt data.
[0034] In an example of the data 34 after conversion processing, when the individual matching key is "a0001", the tooth with the tooth type value 42 of "1034" existed in 2019 but disappeared in 2020. Also, the tooth with the tooth type value 42 of "1036" has been treated twice in 2019, and there are "0" and "1" as status codes. Also, the tooth of "1036" has been treated twice during 2020, and there are "0" and "1" as status codes in the treatment such as implant.
[0035] The remaining tooth count management data 35 is composed of an individual matching key, year, and remaining tooth count. The remaining tooth count management data 35 is an example of the configuration of the remaining tooth count management table after processing the dental receipt data, and is data that summarizes the remaining tooth count for each year.
[0036] As the aggregation logic for the remaining tooth count, in the data 34 after conversion processing, when the tooth type value 42 is the same and there are multiple status codes, · If there is even one status code of "0", the aggregation result is "0", · If the status codes of "1" overlap, the aggregation result is "1", is set as such.
[0037] In the example of the remaining tooth count management data 35, when the personal matching key is "a0001", it can be seen that the remaining tooth count was 2 in 2019 and became 1 in 2020. When the personal matching key is "i0001", it can be seen that the remaining tooth count was 2 in 2019.
[0038] In FIG. 6, the dental receipt data processing process S60 will be described. As a preliminary process S60P, the dental receipt data processing unit 13 sets the tooth state data (tooth present / absent) corresponding to the injury name code described in the dental receipt original data 31, and creates the injury name master data 32 for tooth type extraction (step S65).
[0039] The dental receipt data processing unit 13 applies the status code set in the injury name master data 32 for tooth type extraction to the dental receipt, sets the tooth present / tooth absent state (step S61), and generates the processed dental receipt data 33.
[0040] The dental receipt data processing unit 13 performs a groupby using the tooth formula code, counts the status code (step S62), and generates the post-conversion processed data 34 of the processed dental receipt data 33. Note that groupby is the name of a process in the processing software and is a process of grouping the elements of pandas.DataFrame.
[0041] The dental receipt data processing unit 13 performs a groupby using the personal matching key and the year, counts the number of teeth, and generates the remaining tooth count management data 35 (step S63).
[0042] As described above, the remaining tooth count management data for each individual can be generated by the dental receipt data processing process S60.
[0043] <Screen display example> FIG. 7 is a diagram showing a screen display example (part 1). FIG. 8 is a diagram showing a screen display example (part 2). FIGS. 7 and 8 are examples of screens displayed on the national health insurance terminal 300 and the health care terminal 310 (see FIG. 1).
[0044] Figures 7 and 8 show the annual change in the number of remaining teeth 71, the medical history by injury / illness 72, the list of career histories 73, the list of health check results 74, the list of home medical care / medical receipts 75, and the list of home medical care / nursing care receipts 76. The annual change in the number of remaining teeth 71 allows reference to the history of the number of remaining teeth and understanding of the secular change in the number of remaining teeth.
[0045] The medical history by injury / illness 72 allows reference to the medical history of the person in question and understanding of the medical treatment situation by looking at the disease status by injury / illness on a monthly basis. It is important that the receipts are viewed in a chronological order rather than monthly. The list of career histories 73 allows reference to the intervention history of the person in question and understanding of what kind of career the person was involved in and for how many years. Intervention refers to taking contacts that prompt behavioral changes with respect to the risk bearers.
[0046] The list of health check results 74 allows reference to the history of health check results and viewing of the content of past health check results over time. The list of home medical care / medical receipts 75 allows reference to the history of home medical treatment, extraction of home-based medical treatment from medical treatment acts, and viewing of what kind of medical treatment acts were carried out and when in a chronological order on a monthly basis. The list of home medical care / nursing care receipts 76 allows reference to the history of nursing care services and viewing of the service content of nursing care receipts in a chronological order on a monthly basis.
[0047] By simultaneously referring to the histories of intervention history, medical history, number of remaining teeth, home medical treatment, nursing care services, and secular change in health checks on one screen, the following information about the person in question can be grasped. · Medical treatment situation · Secular change in health checks · Risk of frailty · Disease risk · Intervention effect · Effect of the career
[0048] The frailty determination content using the number of remaining teeth and examples of health guidance will be explained. When a healthcare professional discovers that an intervention or a person being given health guidance had a musculoskeletal medical history last year, they observe changes in weight and exercise trends from the physical examination results. If the weight has decreased, if the exercise trend has become less active, or if the number of remaining teeth is low when looking at the number of remaining teeth, it can be inferred that the risk of frailty is high. Therefore, it is possible to provide advice on improvement methods through diet according to the number of remaining teeth and guidance on improving exercise trends.
[0049] In the annual change of the number of remaining teeth 71, the annual change in the number of remaining teeth was shown numerically, but it is not limited to this. For example, when a healthcare professional wants to know the details of the number of remaining teeth, clicking on the table part of the annual change in the number of remaining teeth allows for a graphical view.
[0050] Figure 9 is a diagram showing the details of the annual change in the number of remaining teeth. In Figure 9, the details 90 of the annual change in the number of remaining teeth are shown, and the years are from 2016 to 2020. The black part in the tooth type diagram is the part with "no teeth", and the part where the 4-digit numerical value of the tooth type is displayed is the part with "teeth".
[0051] According to Figure 9, in the case of 2016, there was one toothless state each in the lower right jaw and the upper left jaw, and the overall tooth condition was good. However, in 2017, toothless states also appeared in the upper right jaw and the lower left jaw, and it can be seen that the tooth condition rapidly deteriorated from 2018.
[0052] The frailty diagnosis support device 100 of the present embodiment can graphically display receipt items (intervention information, disease name, remaining tooth number information, home medical treatment information, nursing service information, physical examination information) on an individual basis and their annual states on the same screen (with scrolling), enabling the grasping of the relevance between each receipt and the change in state over the years. In particular, by adding the annual change information of the number of remaining teeth to the dental receipt information, the accuracy of the frailty risk diagnosis can be enhanced.
[0053] The frailty diagnosis support device 100, the frailty diagnosis support method, and the frailty diagnosis support program of the present embodiment described above have the following features. (1) A frailty diagnosis support device 100 that is connected via a network to a national health insurance comprehensive system 210, a health examination management system 220, a long-term care insurance system 230, and a national health insurance database (KDB 240) and supports frailty diagnosis. The frailty diagnosis support device 100 includes a data extraction unit 11 that extracts data in the national health insurance comprehensive system 210, the health examination management system 220, the long-term care insurance system 230, and the national health insurance database; a data processing unit 12 that processes the extracted data into individual medical information by matching individuals across insurance systems; a dental receipt data processing unit 13 that obtains dental receipt information from the national health insurance comprehensive system 210 and calculates individual remaining tooth number information; an analysis data construction unit 14 that adds the individual remaining tooth number information to the individual medical information to process it into information capable of frailty diagnosis; and a data display processing unit 15 that processes the individual data received from the analysis data construction unit 14 in time series. According to this, frailty diagnosis can be supported.
[0054] (2) In the frailty diagnosis support device 100 of (1) above, the dental receipt data processing unit 13 obtains dental receipt information (for example, dental receipt data 212), applies the status code set in the disease name master data 32 for tooth type extraction to the dental receipt information, sets the presence / absence of teeth status (step S61), groups by tooth formula code, counts the status code (step S62), groups by individual matching key and year, counts the number of teeth, and generates individual remaining tooth number information (for example, remaining tooth number management data 35) (step S63).
[0055] (3) In the frailty diagnosis support device 100 of (1) above, when a request for individual data is received from a terminal used by a healthcare professional, the data display processing unit 15 transmits the individual data to the terminal (see FIGS. 7 and 8).
[0056] (4) In the frailty diagnosis support device 100 of (3) above, the individual data includes information on the secular change of the remaining tooth number (see FIG. 7).
[0057] (5) In the frailty diagnosis support device 100 of (3) above, on the terminal, as the individual-specific data, at least any one of the information of the change in the number of remaining teeth over the years 71, the medical visit history by injury / illness 72, the list of work histories 73, the list of health check results 74, the list of home medical care / medical receipts 75, and the list of home medical care / nursing care receipts 76 is displayed.
[0058] (6) A frailty diagnosis support method for supporting frailty diagnosis based on the information held by the national health insurance comprehensive system 210, the health check management system 220, the long-term care insurance system 230, and the national health insurance database (KDB240). The computer includes: a data extraction step of extracting data from the national health insurance comprehensive system 210, the health check management system 220, the long-term care insurance system 230, and the data in the national health insurance database; a data processing step of processing the extracted data into individual-specific medical information by matching individuals across insurance systems; a dental receipt data processing step of obtaining dental receipt information from the national health insurance comprehensive system 210 and calculating individual-specific remaining tooth number information; an analysis data construction step of adding the individual-specific remaining tooth number information to the individual-specific medical information to process it into information capable of frailty diagnosis; and a data display processing step of processing the individual-specific data received from the analysis data construction step in time series. According to this, frailty diagnosis can be supported.
[0059] (7) In the frailty diagnosis support method of (6) above, in the dental receipt data processing step, the computer obtains dental receipt information (for example, dental receipt data 212), applies the status code set in the disease name master data 32 for tooth extraction by tooth type to the dental receipt information to set the presence / absence of teeth status (step S61), groups by dental formula code, counts the status code (step S62), groups by individual matching key and year, counts the number of teeth, and generates the individual-specific remaining tooth number information (for example, remaining tooth number management data 35) (step S63).
[0060] (8) In the frailty diagnosis support method of (6) above, when a request for individual data is received from the terminal used by the healthcare worker during the data display processing step, the computer transmits the individual data to the terminal.
[0061] (9) In the frailty diagnosis support method of (8) above, the individual data includes information on the annual change in the number of remaining teeth.
[0062] (10) In the frailty diagnosis support method of (8) above, at least any one of the information of the annual change of the number of remaining teeth 71, the medical history list by injury / sickness 72, the career history list 73, the health check result list 74, the home medical care / medical receipt list 75, and the home medical care / nursing receipt list 76 is displayed on the terminal as individual data.
[0063] (11) A frailty diagnosis support program for causing a computer to execute any one of the frailty diagnosis support methods from (6) to (10) above.
Explanation of Signs
[0064] 1 Input section 2 Output section 3 Communication section 4 DMZ / Reverse proxy 10 Processing section 11 Data extraction section 12 Data processing section 13 Dental receipt data processing section 14 Analysis data construction section 15 Data display processing section 20 Storage section 21 Extracted data 22 Processed data 23 Analysis data 24 Display data 31 Dental receipt original data 32 Disease name master data for tooth extraction 33 Processed dental receipt data 34 Data after conversion processing 35 Remaining tooth number management data (individual remaining tooth number information) 41 Tooth formula code 42 Tooth type value 43 Status value 44 Partial value 71 Annual change in the number of remaining teeth 72 Medical history of injuries and illnesses 73 List of career histories 74 List of health examination results 75 List of home medical care and medical receipts 76 List of home medical care and nursing care receipts 90 Details of the annual change in the number of remaining teeth 100 Frailty diagnosis support device (computer) 210 National health insurance integrated system 211 Medical, dispensing, DPC receipt data 212 Dental receipt data (dental receipt information) 220 Health examination management system 221 Health examination result data 222 Health guidance data 230 Long-term care insurance system 231 Nursing care receipt data 240 KDB (National health insurance database) 241 KDB matching data 242 Insured person register data 300 National health insurance terminal 310 Health terminal (terminal) 401, 402 Network S60 Dental receipt data processing
Claims
1. A frailty diagnosis support device that is connected to the national health insurance comprehensive system, the health examination management system, the long-term care insurance system, and the national health insurance database via a network and supports frailty diagnosis, The frailty diagnosis support device includes: A data extraction unit that extracts data in the national health insurance comprehensive system, the health examination management system, the long-term care insurance system, and the national health insurance database; A data processing unit that processes the extracted data into individual medical information by matching individuals across insurance systems; A dental receipt data processing unit that obtains dental receipt information from the national health insurance comprehensive system and calculates individual remaining tooth number information; An analysis data construction unit that adds the individual remaining tooth number information to the individual medical information to process it into information capable of frailty diagnosis; A data display processing unit that processes the individual data received from the analysis data construction unit in chronological order. The frailty diagnosis support device is characterized by having the above components.
2. The dental receipt data processing unit: Obtains the dental receipt information, applies the status code set in the disease name master data for tooth type extraction to the dental receipt information to set the presence / absence of teeth status, Groups by dental formula code, counts the status codes, Groups by individual matching key and year, counts the number of teeth, and generates the individual remaining tooth number information. The frailty diagnosis support device according to Claim 1, characterized by the above.
3. When a request for the individual data is received from a terminal used by a healthcare professional, the data display processing unit transmits the individual data to the terminal. The frailty diagnosis support device according to Claim 1, characterized by the above.
4. The individual data includes information on the annual change in the number of remaining teeth. The frailty diagnosis support device according to Claim 3, characterized by the above.
5. On the terminal, at least any one of the information on the change in the number of remaining teeth over the years, the medical history by injury or illness, the list of career history, the list of physical examination results, the list of home medical care / medical receipts, and the list of home medical care / nursing care receipts is displayed as the personal data. The frailty diagnosis support device according to claim 3, characterized in that.
6. A frailty diagnosis support method for supporting frailty diagnosis based on information held by the national health insurance comprehensive system, the physical examination management system, the long-term care insurance system, and the national health insurance database, comprising: The computer A data extraction step of extracting data from the national health insurance comprehensive system, the physical examination management system, the long-term care insurance system, and the national health insurance database; A data processing step of processing the extracted data into personal medical information by matching individuals across insurance systems; A dental receipt data processing step of obtaining dental receipt information from the national health insurance comprehensive system and calculating personal remaining tooth number information; An analysis data construction step of adding the personal remaining tooth number information to the personal medical information to process it into information capable of frailty diagnosis; A data display processing step of processing the personal data received from the analysis data construction step in time series, characterized in that the frailty diagnosis support method is executed.
7. When performing the dental receipt data processing step, the computer Obtains the dental receipt information, applies the status code set in the disease name master data for tooth extraction to the dental receipt information, sets the presence / absence of teeth status, Groups by dental formula code, counts the status code, Groups by personal matching key and year, counts the number of teeth, and generates the personal remaining tooth number information. The frailty diagnosis support method according to claim 6, characterized in that.
8. When there is a request for the individual data from the terminal used by a dental hygienist during the data display processing step, the computer transmits the individual data to the terminal. The frailty diagnosis support method according to claim 6, characterized in that.
9. The individual data includes information on the secular change in the number of remaining teeth. The frailty diagnosis support method according to claim 8, characterized in that.
10. At least any one of the information on the annual change in the number of remaining teeth, the medical history by injury or illness, the list of career history, the list of health check results, the list of home medical care and medical receipts, and the list of home medical care and nursing receipts is displayed on the terminal as the individual data. The frailty diagnosis support method according to claim 8, characterized in that.
11. A frailty diagnosis support program for causing a computer to execute the frailty diagnosis support method according to any one of claims 6 to 10.
Citation Information
Patent Citations
Information processing system, control method of information processing system, program, and recording medium
JP2019057283A