KR101239213B1 - Method on Medical Information Suggestion - Google Patents

Abstract

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a medical information proposal system for generating proposal information on medical information, such as linked disease information or related medical insurance products, and an information processing method thereof.
The medical information suggesting system of the present invention comprises the steps of obtaining at least one or more patient examination information for a patient; Querying a linked disease DB for at least one or more diseases corresponding to the patient examination information, and generating linked disease information for each disease; And generating at least one linked medical information for each linked disease.
By utilizing the present invention, it is possible to provide medical services linked to diseases, and to provide relevant medical insurance products, thereby effectively providing patients with comprehensive medical information services and directly or indirectly related medical product information. In addition, it also increases the profitability of medical institutions. When providing various types of medical service information or medical insurance product information, the degree of support or reliability, the hourly trends of the support degree or reliability, age trends, regional or occupational trends, and gender trends for the recommended medical services or medical care products By generating and providing various types of analysis information, the reliability of the recommendation can be improved.

Description

Information processing method of medical information suggestion system {Method on Medical Information Suggestion}

The present invention relates to a medical information proposal system and an information processing method thereof, and more particularly, to a medical information proposal system and a system for generating proposal information on medical information such as linked disease information and related medical insurance products. It relates to an information processing method.

As technology advances, companies are trying to diversify their channels by introducing new channels while maintaining existing channels. The term “new channel” can be interpreted differently depending on the type of business. For example, new channels in off-line companies include on-line and mobile, and new channels in on-line companies include off-line stores and intangible products. May be typified. In addition, the convergence concept is accelerating the convergence of wired and wireless, and the breakdown of walls between industries, which has led to the expansion of the enterprise. (For example, large discount stores made financial business possible, and banks sold insurance products. The bancassurance has emerged, and assure banks, which also act as banks in insurance companies, have emerged.) In the medical industry, there have been many fields such as hospitals and insurance structures, as well as healthcare service centers. It is not.

Therefore, in order to solve the above problems and provide quality medical services to patients, health care and disease prevention information is managed through the clinical medical information of insurance companies and hospitals. Providing patients with preventive diseases in the future and providing appropriate insurance product information to patients to secure new points of contact between patients and insurers, and provide hospital medical courses and prescription information that require patient care. There is an urgent need to develop a medical information suggestion system that can secure new contact points between hospitals and patients.

10-2003-0084390 10-2006-0104102 10-2007-0052578 10-2007-0052585 10-2007-0103254

The first technical problem to be solved by the present invention is to propose a medical information proposal system.

The second technical problem to be solved by the present invention is to propose an information processing method of the medical information proposal system.

In order to achieve the technical problem to be achieved by the present invention, the information processing method of the medical information suggesting system, the medical information suggesting system comprising the steps of: (A) obtaining at least one patient examination information for a patient; (B) querying a linked disease DB for at least one or more diseases corresponding to the patient examination information, and generating linked disease information for each disease; And (C) generating at least one linked medical information for each linked disease.

The patient examination information may be examination result information for each patient's health examination index.

The examination result information may be one or more of section information, grade information, and numerical information.

The linkage disease DB preferably includes at least one linked linkage disease name and linkage degree information for each disease.

The linkage degree information may be probability information between the disease and the linkage disease.

The linked medical information of step (C) is at least one linked medical service information,

The generation of the linked medical information is to generate and query the linked medical service DB by at least one or more linked diseases, the linked medical service DB includes at least one or more medical service information associated with each disease,

The linked medical service DB preferably includes at least one disease information associated with each medical service.

The linked medical service information for each of the linked diseases may be generated using a linked medical service selection model for selecting two or more linked medical service information considering a degree of linking for two or more linked diseases.

The linked medical information of step (C) is at least one linked medical insurance product information,

The generation of the linked medical information is to generate and query the linked medical insurance product DB by at least one or more linked diseases, and the linked medical insurance product DB includes at least one or more medical insurance product information associated with each disease. Alternatively, the linked medical insurance product DB preferably includes at least one disease information associated with each medical insurance product.

The linked medical insurance product information for each linked disease is preferably generated using a linked medical insurance product selection model for selecting two or more linked medical insurance product information considering the degree of linkage for two or more linked diseases.

In order to achieve the technical problem to be achieved by the present invention, it proposes a medical information proposal system characterized in that using the method of any one of the above.

The present invention has the following effects.

First, it is possible to provide medical services linked to diseases, and to provide relevant medical insurance products.

Second, it is possible to effectively provide the patient with comprehensive medical information services and medical product information directly or indirectly related.

Third, it will contribute to improving the profitability of medical institutions.

Fourth, when providing various medical service information or medical insurance product information, including support or reliability, and hourly, age, regional or occupational and gender trends of the support or reliability for the recommended medical service or medical care product. By generating and providing various types of analysis information, the reliability of the recommendation can be improved.

Fifth, health examination centers, insurance companies, and hospitals can collaborate and share patient's examination results, enabling patients to transmit information on predictable diseases in the near future, and providing patients with preventive diseases. Can provide differentiated medical services and provide patient insurance information to insurers to provide information on the appropriate insurance products to patients, thereby reducing the dependence on insurance providers' channels, which are weaknesses of current insurers, and at the same time making contact with customers. It is possible to obtain a widening effect, and to secure a new point of contact between a hospital and a patient that provides hospital treatment subjects and prescription information requiring patient treatment.

Sixth, it is possible to more accurately predict the future diseases by analyzing the results of the patients from the past to the present by storing the data of the results of the examination to the patient.

1 is a diagram of an exemplary configuration of a medical information proposal system of the present invention.
2 is a diagram illustrating an exemplary configuration of a linked disease analysis unit of a medical information suggestion system of the present invention.
3 is a diagram illustrating an exemplary configuration of a linked medical service analyzer of the medical information suggesting system of the present invention.
4 is a diagram illustrating an exemplary configuration of a linked medical insurance product analysis unit of the medical information proposal system of the present invention.
5 is a diagram illustrating an exemplary configuration of a linked medical service recommendation unit of a medical information suggesting system of the present invention.
FIG. 6 is a diagram illustrating an exemplary configuration of a related insurance product recommendation unit of the medical information proposal system of the present invention. FIG.
7 is a diagram illustrating an exemplary configuration of an information processing method for medical information proposal of the medical information suggestion system of the present invention.
8 is a diagram illustrating an embodiment of a method for generating a linked disease in a medical information suggestion system according to the present invention.
9 is a diagram illustrating an exemplary configuration of a method for analyzing a linked medical service of a medical information suggesting system according to the present invention.
FIG. 10 is a diagram illustrating an exemplary configuration of a method for generating linked medical service recommendation information in a medical information suggestion system according to the present invention.
11 is a diagram illustrating an exemplary configuration of a method for generating linked insurance product recommendation information in a medical information suggestion system according to the present invention.

Hereinafter, the present invention will be described in more detail with reference to the drawings. The medical information suggesting system of the present invention includes a medical information acquisition unit for obtaining medical information from a medical institution or an insurance company, a medical information analysis unit for generating at least one or more predetermined medical analysis information using the obtained medical information, and the medical analysis. It includes a medical information recommendation unit that recommends linked medical services or linked insurance products based on the information, and a medical information DB that stores medical information related data. The medical information suggesting system is connected to a user computer through a wired or wireless network, and receives medical basic information through a medical basic information providing system such as an insurance company system or another related third system.

The medical information acquiring unit includes a medical institution medical information acquiring department, which receives medical information from a medical institution, an insurance company medical information acquiring department, which receives medical information from an insurance company, and a patient examination information acquiring unit that receives medical examination information of a patient. The medical institution medical information acquisition unit obtains predetermined medical information from at least one or more medical institution systems (which may be the third system), including the own medical institution. Medical information obtained by the medical institution obtainable medical information acquisition unit may include medical information of individual disease information as shown in Table 1 below.

Personal ID Disease ID P1 D1, D3 P2 D1, D2 P3 D3, D4 P4 D3 P5 D3, D4 ...

An association analysis between each disease may be performed using individual disease information as shown in Table 1 above. The linkage analysis is performed by the linkage disease information generation engine of the linkage disease analysis unit of the present invention. If there is information as shown in Table 1, disease ID D1 is associated with D2, D3, disease ID D2 is associated with D1, disease ID D3 is associated with D1, D2, D4, disease ID D4 is Is associated with D3. In this case, disease ID D3 has the greatest centrality among various diseases, and it can be seen that the disease ID D3 is associated with various diseases, and in particular, has a strong association with D4. In this case, the linkage disease analysis unit performs an association analysis on a disease linked to each disease ID, and then discovers and stores at least one association rule, and stores an association pattern that can be expressed in the form of an association rule. Linkage disease DB is stored. Examples of the association rule include support and confidence. These support and reliability reflect the usefulness and certainty of the association rules found. In this case, the linkage disease analyzer may set a minimum support threshold and a minimum confidence threshold. The linked medical service analysis information providing unit of the linked disease analysis unit may extract and provide linked disease information that is equal to or greater than a predetermined minimum support threshold value and a minimum reliability threshold when a disease ID is input from the outside. On the other hand, the linkage disease analysis unit for the linkage disease information support or reliability and the trends of the support or reliability hourly (can be generated through the association analysis for each time interval), age-specific trends (age-related association can be generated by performing the association analysis Yes), by region or by occupation, and generates a variety of analysis information, including gender trends are stored in the linked disease DB.

8 illustrates an exemplary method of generating linked disease information. The disease data acquisition unit 1211 of the linked disease analysis unit collects a plurality of disease data for each patient (S21), and the linked disease information generation engine 1212 performs data mining on the disease data (S22). The data mining result is stored in the linked disease DB (S23).

Meanwhile, the medical institution medical information acquisition unit may obtain medical service information for each individual as medical information. Table 2 below is an example of medical information using a medical examination service received by an individual.

Personal ID Exam Item ID Examination item evaluation result P1 DI1 R P1 DI2 Y P1 DI3 R P2 DI1 R P2 DI2 R P2 DI3 G P2 DI4 G P2 DI5 G P3 DI3 R P3 DI4 R P4 DI2 R P4 DI3 R P4 DI4 Y P4 DI5 R P5 DI1 G P5 DI2 R

When there is the information as shown in Table 2, the correlation analysis of the examination item ID information for each patient of the linked medical service analysis unit is performed to store the analysis result in the linked medical service mapping DB. Meanwhile, when the examination item ID or the examination item information is obtained, the linked medical service analysis information providing unit may extract and provide the examination item information as the associated medical service information having the minimum support threshold value and the minimum reliability for the examination item ID. have. The linked medical service analysis unit may generate the degree of support or reliability of the linked examination item information, the hourly trend of the support degree or the reliability (which can be generated through the association analysis for each time interval), and the age trend (the association analysis for each age group). Presence), region-specific or occupation-specific, and various analysis information including gender trends are generated and stored in the linked medical service mapping DB.

In this case, the screening item is performed only for the data of the screening item evaluation result at a predetermined level or more (for example, R (red) level or Y (yellow) level or more) among the screening item evaluation results performed by the individual. Association analysis can be performed. The reason for doing correlation analysis with limited (not limited) data is that each individual can receive a wide range of screening services (if most of the screenings), depending on his or her preferences, concerns and health concerns. Because you may be able to get relatively narrow (only if you have a check-up that is closely related to your own disease or a disease with a high level of interest), performing association analysis with limited data recommends disease-specific linked care. This is because it is more appropriate to achieve the object of the present invention.

In the above example, the medical examination is illustrated as a medical service, but it should be understood that the present invention is not limited to the medical examination service but corresponds to all medical services received by the individual.

Meanwhile, the medical institution obtaining information may obtain medical service information for each disease as medical information. Table 3 below is an example of medical information using a medical service as a medical examination service that may be related to the disease for each disease.

Disease ID Exam Item ID D1 DI1, DI2 D2 DI2, DI5 D3 DI3 D4 DI4 D5 DI5 DI3

The linked medical service analyzer may obtain the information as shown in Table 3, store the medical service information related to each disease, and store the disease information for each medical service.

9 illustrates an exemplary information processing method of the linked medical service analyzer. The disease-specific medical service information acquisition unit 1221 may obtain disease-specific medical service information (S31), and the disease-related medical service mapping unit 1222 may perform disease-related medical service data mining (S31). S32), and stores the data mining result in the linked medical service mapping DB (S33).

The linked medical insurance product analysis unit of the present invention analyzes individual insurance product information obtained through the insurance company medical information acquisition unit, and generates a linked medical insurance product mapping DB. The disease-specific medical insurance product information acquisition unit of the linked medical insurance product analysis unit obtains medical insurance product information for each disease from an insurance company system or the like. In this case, the disease-specific medical insurance product information acquisition unit receives disease-specific insurance product information from a third or more system that provides insurance product information for two or more insurance companies or other diseases.

Table 4 below is an example of insurance product information for each disease.

Disease ID Insurance Product ID D1 IP1, IP2 D2 IP2, IP5 D3 IP3 D4 IP3, IP4 D5 IP5 IP3

Disease-specific linked health insurance product mapping unit analyzes disease-specific insurance product information as shown in Table 4 above, and maps the medical insurance products linked by disease. Through the mapping, not only the medical insurance product linked to the disease but also the association between the medical insurance product can be derived. The insurance product information may further include information such as the type of disease covered by the insurance product, coverage, coverage conditions, and the like. The mapped disease-specific medical insurance product is stored in the linked medical insurance product DB. When the linked medical insurance product information providing unit receives disease information from an external requester, at least one linked medical insurance product is extracted and the extracted linked medical insurance product information is provided to the external requester. The linked medical insurance product information may further include various statistical analysis information on the linked medical insurance product.

Next, the medical information recommendation part of this invention is demonstrated. Information recommended by the medical information recommendation unit includes a linked medical service and a linked medical insurance product.

The patient disease information acquisition unit linked to the medical information recommendation unit obtains disease information of the patient. The patient's disease information may be a diagnosis result of a medical staff or a check result according to at least one or more check items. The linked disease information obtaining unit of the linked medical service recommendation unit may query the linked disease DB based on the patient disease information obtained by the patient disease information obtaining unit. Obtain linked linkage disease information. The linked medical service information obtaining unit of the linked medical service recommendation unit obtains the linked medical service information for each linked disease by searching the linked medical service mapping DB for each disease when the linked disease information is obtained. The linked medical service recommendation information generation unit for each disease of the linked medical service recommendation unit generates recommendation information for each linked medical service. The recommendation information includes the type of linked disease by disease, linkage information (various statistical analysis information such as support map, reliability, and trend analysis), linkage medical service information by linkage disease (type of medical service, provision conditions, support, reliability, Various statistical analysis information such as trend analysis) are generated and provided to the requester.

For example, when there is a patient Pi, when the patient ID is suspected or diagnosed with disease ID D3, the linked disease analysis unit links D3 by the linked disease information generation engine to the disease data shown in Table 3 above. By querying the DB, linkage disease information may be generated that D3 has a high association with D1 or D4 and has a strong association with patent D4. Subsequently, the linked medical service analysis unit may query the linked medical service mapping information DB to provide a linked medical service mapping DB to provide a medical service related to the D3, or provide a medical service related to D1 or D4 highly related to the D3. Extract. For example, the linked medical service analyzer may recommend a medical service having a diagnosis item ID of DI4 as an example of recommended medical services. At this time, it is a matter of course that various linked information such as various statistical analysis information such as support, reliability, trend analysis, etc. regarding the relationship between D3 and D4 will be provided. Meanwhile, the linked medical insurance product analysis unit may recommend IP3, a related insurance product, to D3 as a recommended insurance product. Meanwhile, IP1 and IP2, which are insurance products for D1, may be recommended, or IP3 or IP4 related to D4 may be recommended.

Next, the information processing method of the medical information suggesting system of the present invention will be described in more detail with reference to the drawings.

The medical information suggestion system obtains disease information of a patient (S11), retrieves a linked disease DB for each disease (S12), and extracts linked disease information. Subsequently, the medical information suggestion system queries the linked medical service DB for each linked disease (S13), provides linked medical service information for the linked disease (S14), or queries the related medical insurance product DB for the linked disease (S15). In operation S16, the related medical insurance product recommendation information for each linked disease is generated.

On the other hand, the linked medical service analysis unit may receive the medical service used by the patient, may extract and provide a related medical service highly linked to the medical service from the linked medical service mapping DB. On the other hand, suppose the examination information of the patient Pi is shown in Table 5 below.

Personal ID Exam Item ID Examination item evaluation result Pi DI1 Y Pi DI2 Y Pi DI3 R Pi DI4 G Pi DI5 G

In this case, the linked medical service analysis unit may determine that the patient has a high risk of D3 disease because DI3 of the patient is R (Red category), and the disease of D1 because DI1 and DI2 are Y (yellow category). We can see that there is a high possibility. In this case, the linked medical service analysis unit queries the medical information DB in which the medical information data as shown in Table 3 is stored, and the disease D1 associated with DI1 and DI2 (D1 in Table 3 is strongly connected to both DI1 and DI2. Or D2 disease associated with D12. When the linked medical service recommendation unit extracts D1, the linked medical service recommendation unit may present the at least one medical service product for the D1 by referring to the linked medical service mapping DB. When the linked insurance product recommendation unit extracts D1, the linked insurance product recommendation unit may present the at least one medical insurance product such as IP1 or IP2 by referring to the linked medical insurance product mapping DB.

On the other hand, since the medical information recommendation section is DI4 and DI5 of the patient Pi is G (Green category), in Table 3, DI4 is referred to D4 and DI5 is highly related to D5, and then recommended medical services or recommendations for D4 or D5. It may not generate insurance products. However, the linked medical service recommendation unit, based on the age, gender, or occupational group of the Pi, a person using the medical service related to D3 uses a lot of medical services related to D4, or recently used (conditional probability D3 If the proportion of people who use related medical services is also high or high, the D4 related medical services may be recommended or presented along with such statistical information. On the other hand, the linked insurance product recommendation unit, based on the age, gender or occupation group of the Pi, a person using the medical insurance products related to D3 purchase / use a lot of medical insurance products related to D5, or recently used probability ( If conditionally probable proportion of people who use D3-related medical insurance products at the same time is high or high), D5-related medical insurance products may be presented along with such statistical information.

As illustrated in FIG. 10, the patient disease information obtaining unit 1311 of the linked medical service recommendation unit obtains disease information of the patient (S41), and the linked disease information obtaining unit 1312 is linked disease DB as the patient's disease information. Inquiring (S42), to obtain the disease information associated with the disease of the patient (S43), the disease-specific linked medical service information acquisition unit 1313 is linked to the linked disease linked medical service mapping DB 1224 or linked medical The service DB 1315 is inquired (S44) to obtain linked medical service information for each disease to be linked (S45), and the linked medical service recommendation information generation unit 1314 for each disease generates linked medical service recommendation information for each disease ( S46).

As illustrated in FIG. 11, the patient disease information acquisition unit 1321 of the linked insurance product recommendation unit obtains patient disease information (S51), and the linked disease information acquisition unit 1322 receives linked disease information associated with the patient disease. Acquisition (S52), and linked insurance product information acquisition unit for each disease (1323) inquires (S53) linked medical insurance product mapping DB 1224 or linked medical insurance product DB 1325 as linked diseases (S53), linked by linked diseases The insurance product information is obtained (S54), and the linked insurance product recommendation information generation unit 1324 for each disease generates linked insurance product recommendation information for each linked disease (S55).

The present invention can be widely used in the medical industry, medical service industry, medical information industry and the like.

1000: Medical Information Proposal System
1100: medical information collection
1110: medical institution medical information collection
1120: insurance company medical information collection
1130: obtaining patient examination information
1200: medical information analysis unit
1210: Linked Disease Analysis Department
1211: obtaining disease data
1212: Linkage Disease Information Generation Engine
1213: Linkage Disease DB
1220: Linked Medical Services Analysis Department
1221: Get medical service information by disease
1222: Linked medical service mapping unit for each disease
1223: linked medical service analysis information provider
1224: Linkage Medical Services Mapping DB
1230: Linked Health Insurance Product Analysis Department
1231: Get medical insurance product information by disease
1232: Linking medical insurance product mapping by disease
1233: linked medical insurance product analysis information provider
1234: Linkage Medical Insurance Product Mapping DB
1240: patient disease information generation unit
1300: medical information recommendation department
1310: Linked Medical Services Recommendation
1311: obtaining patient disease information
1312: linking disease information
1313: Acquisition of linked medical service information by disease
1314: Disease-related medical service recommendation information generation unit
1315: Linked Medical Services DB
1320: Related Insurance Product Recommendation
1321: Obtaining Patient Disease Information
1322: linking disease information
1323: Acquisition of linked insurance product information by disease
1324: Disease information linked insurance product recommendation unit
1325: Linked Medical Insurance Products DB
1400: Medical Information DB
1410: medical institution medical information data
1420: insurance company medical information data
2000: Medical Basic Information System
2100: Insurance Company System
2200: third system
3000: Your Computer
5000: wired and wireless network

Claims (10)

In the information processing method of the medical information proposal system,
(A) acquiring at least one patient examination information for the patient by the patient disease information acquisition unit of the medical information suggestion system;
(B) the linked disease information obtaining unit of the medical information suggestion system searches for the linked disease DB for at least one disease corresponding to the patient examination information, and searches for at least one linked disease linked to the disease for each disease. Obtaining linkage disease information; And
(C) generating at least one linked medical information related to the linked diseases by the linked medical service recommendation unit of the medical information suggesting system for each of the linked diseases;
The linked disease DB of step (B) includes at least one linked linked disease name and degree of linked information for each disease,
The linked disease DB collects disease data for a plurality of diseases for each patient, performs data mining on the disease data, and performs at least one of preset support and preset reliability as linkage degree information on the disease. Contains at least one linked disease information that satisfies
Linked disease information obtained in the linkage in the step (B) is that any one or more of the linked disease linked to more than the predetermined minimum threshold support for the disease and the linked disease linked to a predetermined minimum threshold reliability or more is satisfied. Will be
The linked medical information of step (C) is at least one linked medical service information,
The generation of the linked medical information is to generate and query the linked medical service DB for at least one linked disease,
The linked medical service DB includes at least one or more medical service information associated with each disease,
The linked medical service DB is to include at least one disease information associated with each medical service,
The linked medical service DB collects disease data for at least one or more diseases and medical service information for at least one or more medical services for each patient, and performs preset data mining on the disease data and the medical service data. At least one linked medical service information satisfying at least one of a predetermined support and a predetermined reliability of the disease is included.
The linked medical service information generated in the linking in the step (C) may be any one or more of linked medical services linked to or above a predetermined minimum threshold support for the linked disease and linked medical services linked to or more than a predetermined minimum threshold reliability. Information processing method of the medical information suggesting system, characterized in that it is satisfied. The method of claim 1,
And the patient examination information is examination result information for each patient's health examination index. The method of claim 2,
The examination result information is one or more of section information, grade information, numerical information information processing method of the medical information suggesting system. delete The method of claim 1,
And the linkage degree information is probability information between the disease and the linkage disease. delete The method of claim 1,
The linked medical service information for each of the linked diseases is generated using a linked medical service selection model for selecting two or more linked medical service information considering the degree of linking for two or more linked diseases. How information is processed. The method of claim 1,
The linked medical information of step (C) is at least one linked medical insurance product information,
The generation of the linked medical information is to generate and query a linked medical insurance product DB for at least one linked disease,
The linked medical insurance product DB includes at least one or more medical insurance product information associated with each disease,
The linked medical insurance product DB includes at least one or more disease information associated with each medical insurance product information processing method of the medical information proposal system. The method of claim 8,
The linked medical insurance product information for each linked disease is generated using a linked medical insurance product selection model for selecting two or more linked medical insurance product information considering the degree of linkage for two or more linked diseases. Information processing method of information suggestion system. delete

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