A scene self-adaption based non-contact medical insurance service matching method

Abstract

The application relates to the technical field of big data processing, and discloses a non-contact medical insurance service matching method based on scene self-adaptation, which comprises the following steps: performing face recognition through a medical insurance business desktop service terminal of a medical service institution to obtain medical insurance information of a user and a large amount of historical medical service data; obtaining the categories of a plurality of medical service institutions; obtaining the main business degree of each medical insurance service of each medical service institution, and constructing an initial medical institution-core medical insurance service matrix; obtaining the influence radius of each medical service institution; obtaining the influence degree of two medical service institutions; obtaining the subjective influence coefficient of the user for the medical insurance service of the corresponding medical service institution, so as to adjust the medical institution-core medical insurance service matrix of each user; and performing medical insurance service matching and pushing of the user based on the medical institution-core medical insurance service matrix of the user. The application aims to solve the problem that the medical insurance service lacks self-adaptation ability such as user portrait and thus the matching degree is poor.

Description

Technical Field

[0001] This invention relates to the field of big data processing technology, and specifically to a scenario-adaptive contactless medical insurance service matching method. Background Technology

[0002] With the continuous improvement and expansion of my country's medical security system (such as the integration of urban and rural residents' medical insurance and the promotion of cross-regional medical settlement), the demand for medical insurance services has experienced explosive growth. The country is constantly promoting the development of "Internet + healthcare" technology to alleviate the pressure on traditional offline service models. Currently, mainstream online medical insurance services (such as official apps, mini-programs, and third-party platform entry points) provide standardized function lists (such as balance inquiry, payment records, and designated institution inquiry), but these services still require users to complete multiple steps themselves. For example, when a user goes to a pharmacy to buy medicine, they need to open the app, find the medical insurance code, and display it to make payment, which is extremely inconvenient for some special users, such as the elderly.

[0003] With the development of "contactless" interaction technology, reliable technical means have been provided for building a safe, convenient, and contactless service loop. As a result, many such desktop service terminals for medical insurance have emerged, which use facial recognition technology to determine the user's medical insurance information for automatic payment. However, the needs of different user groups for medical insurance services vary significantly in different scenarios. Existing systems generally lack the ability to adapt to user profiles and scenario characteristics, and cannot provide users with accurate and convenient medical insurance services. This results in a poor match between medical insurance services and users' real needs, affecting the matching effect of contactless medical insurance services. Summary of the Invention

[0004] This invention provides a scenario-adaptive, contactless medical insurance service matching method to address the problem of poor matching accuracy caused by the lack of adaptive capabilities based on user profiles in existing medical insurance services. The specific technical solution adopted is as follows:

[0005] This invention proposes a scenario-adaptive contactless medical insurance service matching method, which includes the following steps:

[0006] Facial recognition is performed through the desktop service terminal of medical insurance business of medical service institutions to obtain users' medical insurance information and a large amount of historical medical service data, as well as a large amount of historical medical insurance service data of medical service institutions.

[0007] Based on the classification standards of all medical service institutions, several categories of medical service institutions are obtained; the number of services of each medical insurance in each medical service institution is analyzed to obtain the degree of main business of each medical insurance service in each medical service institution; combined with the differences in the degree of main business of the same medical insurance service in the same category of medical service institutions, an initial medical institution-core medical insurance service matrix is ​​constructed; based on the population density changes in the influence range of each medical service institution, the influence radius of each medical service institution is obtained.

[0008] Based on the distribution distance between the two medical service institutions and the differences in the medical insurance services they cover, combined with the influence radius of the two medical service institutions, the degree of influence of the two medical service institutions is obtained; the influence of other medical service institutions on the medical service institutions corresponding to the user's historical medical service data is analyzed, and the subjective influence coefficient of the user on the medical insurance services of the corresponding medical service institutions is obtained by judging the influence threshold, and then the medical institution-core medical insurance service matrix of each user is adjusted accordingly.

[0009] Based on the user's medical institution-core medical insurance service matrix, medical insurance services are matched and pushed to the user.

[0010] Optionally, the specific methods for obtaining the categories of several medical service institutions include:

[0011] For all medical service institutions, based on the existing three-level and ten-grade grading standard, medical service institutions at the same level are grouped into one category, resulting in several categories of medical service structures.

[0012] Optionally, the specific methods for obtaining the main business level of each medical service institution under medical insurance include:

[0013] For any medical service institution of any category, based on all historical medical insurance service data of the medical service institution, obtain the quantity of any one type of medical insurance service, and use the ratio of the quantity of the medical service institution to the quantity of the medical service institution's historical medical insurance service data as the degree of the medical service institution's main business of that medical insurance service.

[0014] Optionally, the specific methods for constructing the initial medical institution-core medical insurance service matrix include:

[0015] The difference between the degree of main business of any medical service institution in any category and the average degree of main business of any medical service institution in that category and the degree of main business of any medical service institution in that category is taken as the core service factor of the medical service institution for that medical service institution.

[0016] The core service factors of all medical insurance services in the medical service structure are obtained and linearly normalized. The results are used as the core service level of each medical insurance service of the medical service institution.

[0017] By grouping medical service institutions with the same type of medical service into the same row and medical insurance services into the same column, and using the core service level of each medical service institution and each medical insurance service as the elements of the corresponding row and column, a matrix is ​​obtained, which serves as the initial medical institution-core medical insurance service matrix.

[0018] Optionally, the radius of influence of each medical service institution can be obtained using the following method:

[0019] For any medical service institution, set the initial radius, step size, and maximum radius to obtain several spatial radii;

[0020] Obtain the population density within a radius of any spatial radius centered on the location of the medical service institution. Take the spatial radius corresponding to the maximum population density among all spatial radii of the medical service institution as the radius of influence of the medical service institution.

[0021] Optionally, the specific methods for obtaining the degree of influence of the two medical service institutions include:

[0022] Based on the geographical distance between the two medical service institutions and their respective radii of influence, the distance influence factor between the two medical service institutions is obtained.

[0023] Obtain several medical insurance services corresponding to the historical medical insurance service data of any one of the two medical service institutions, as the medical insurance services covered by that medical service institution; obtain the number of medical insurance services of the same type in the medical insurance services covered by each of the two medical service institutions, as the number of identical medical insurance services of the two medical service institutions; and use the ratio of the number of identical medical insurance services to the total number of medical insurance services as the service impact factor of the two medical service institutions.

[0024] The average of the distance influence factor and the service influence factor of the two medical service institutions is taken as the degree of influence of the two medical service institutions.

[0025] Optionally, the specific method for obtaining the distance influence factor between the two medical service institutions includes:

[0026] Obtain the spatial distance between any two medical service institutions. If one of the influence radii of the two medical service institutions is greater than or equal to the spatial distance, set the distance influence factor of the two medical service institutions to 1. If the influence radii of the two medical service institutions are both less than the spatial distance, obtain the ratio of the spatial distance to the maximum spatial distance between any two medical service institutions. Subtract the ratio from 1 and use the difference as the distance influence factor of the two medical service institutions.

[0027] Optionally, the specific methods for obtaining the user's subjective influence coefficient on the medical insurance services of the corresponding medical service institution include:

[0028] For any user’s historical medical service data, the historical medical service data corresponds to a medical service institution and a medical insurance service used by the user at that medical service institution. The medical service institution is regarded as a historical medical service institution of the user, and the medical insurance service used is regarded as a historical medical insurance service of the user.

[0029] A preset impact threshold is set, the number of medical service institutions whose influence on the historical medical service institution is greater than the impact threshold is obtained, the difference between the total number of medical service institutions and 1 is obtained, and the ratio of the number to the difference is used as the subjective influence factor of the user on the historical medical service institution and the historical medical insurance service.

[0030] Obtain several historical medical service data points from the user's total historical medical service data that correspond to the same medical service institution and medical insurance services used in the historical medical service data, calculate the subjective influence coefficient, and use the average of all subjective influence factors as the user's subjective influence coefficient for the medical insurance services corresponding to the historical medical service institution.

[0031] Optionally, the specific methods for obtaining the medical institution-core medical insurance service matrix for each user include:

[0032] The sum obtained by adding 1 to the subjective influence coefficient is multiplied by the element value corresponding to the medical service institution and the medical insurance service in the initial medical institution-core medical insurance service matrix, and this product is used as the element at that position in the user's medical institution-core medical insurance service matrix.

[0033] Based on all the user's historical medical service data, the elements in the initial medical institution-core medical insurance service matrix are updated to obtain the user's final medical institution-core medical insurance service matrix.

[0034] Optionally, the specific methods for matching and pushing medical insurance services to users based on their medical institution-core medical insurance service matrix include:

[0035] For any user and their current medical service institution, the user's current medical service institution is designated as the user's current medical service institution; the category of the current medical service institution is obtained and recorded as the user's current category; the medical insurance services covered by the current medical service institution are obtained.

[0036] The average value of all medical service institutions in the current category for any medical service covering any medical service of the current medical service institution is obtained from the medical institution-core medical insurance service matrix of the user. This value is used as the matching degree of the medical service covering any medical service of the current medical service institution of the user. The matching degree of all medical service covering the medical insurance of the current medical service institution of the user is obtained. The medical service covering the medical insurance of the current medical service institution is sorted in descending order of matching degree. Each medical service covering the medical insurance is displayed in windows on the medical insurance business desktop service terminal. The windows are arranged from top to bottom according to the order of medical service covering the medical insurance.

[0037] The beneficial effects of this invention are as follows: This invention uses the desktop service terminal of a medical service institution as a contactless medical insurance service terminal to perform real-time facial recognition on users to extract their medical insurance information and analyze their historical medical service data. Specifically, it classifies medical service institutions based on existing grading standards and analyzes the differences between the same medical insurance services in the historical medical insurance service data of institutions of the same category. This quantifies the degree of main business and core service of each medical service institution, thereby constructing an initial medical institution-core medical insurance service matrix to reflect the medical service institution's preference for each medical insurance service. Simultaneously, it determines the radius of influence of each medical service institution based on changes in population density within its area of ​​influence. Furthermore, by combining the actual distribution locations of the two medical service institutions and the differences in the medical insurance services they cover, the degree of influence between the medical service institutions is quantified. Since users still choose the corresponding medical service institutions under the influence of other medical service institutions, they have a strong subjective selectivity. Therefore, this is used to quantify the subjective influence coefficient of users on the medical insurance services of medical service institutions. This is used to adjust and obtain the user's medical institution-core medical insurance service matrix, reflecting the user's preference for each medical service institution and medical insurance service. Finally, the terminal analyzes the user matrix, extracts the medical insurance service element values ​​of medical service institutions of the same category, obtains the matching degree, and displays it on the terminal, realizing the intelligent matching and push of medical insurance business services for users through contactless terminals. Attached Figure Description

[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a schematic diagram of a scenario-adaptive contactless medical insurance service matching method according to an embodiment of the present invention.

[0040] Figure 2This is a schematic diagram of a desktop-level service terminal for medical insurance business. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Please see Figure 1 The diagram illustrates a flowchart of a scenario-adaptive contactless medical insurance service matching method according to an embodiment of the present invention. The method includes the following steps:

[0043] Step S001: Perform facial recognition through the medical insurance business desktop service terminal of the medical service institution to obtain the user's medical insurance information and a large amount of historical medical service data, and obtain a large amount of historical medical insurance service data of the medical service institution.

[0044] The purpose of this embodiment is that, during the process of selecting medical insurance services after a user visits a medical service institution, the medical service institution's contactless terminal, such as a desktop service terminal for medical insurance business, identifies the user's information, obtains the user's medical insurance information, and analyzes the user's historical medical service data in the database, thereby matching and pushing the corresponding medical insurance services to the user for selection.

[0045] Specifically, this embodiment uses a desktop-level medical insurance service terminal as a contactless medical insurance service terminal, such as... Figure 2As shown, users at medical service institutions use this terminal for facial recognition authentication. This terminal supports connection to the national medical insurance database, retrieving the user's medical insurance information and past medical service data. This database contains a large amount of historical medical service data for the user. Medical insurance information includes the insured person's name, gender, age, ID number, payment records, and medical insurance account balance; medical service data includes medical service institution records, diagnosis information, medication information, and medical insurance expense data such as reimbursement and payment details. The desktop service terminal for medical insurance business collects the user's facial images in real time. Image processing technology is used to preprocess the real-time facial images through denoising and enhancement. The preprocessed facial images are compared with photos of insured persons in the database. Similarity calculations are used to determine and extract the current user's information, obtaining the corresponding medical insurance information. Facial recognition is a well-known technology, such as ArcFace and DeepFace deep learning methods for facial recognition. This allows the medical service institution to obtain the user's information and a large amount of historical medical service data, with each historical medical service data corresponding one-to-one with the medical service institution and the medical insurance business.

[0046] Furthermore, the terminal simultaneously retrieves past medical insurance service data from various medical service institutions in the national medical insurance database, which serves as the historical medical insurance service data for each medical service institution. In this embodiment, the data is retrieved from all medical service institutions in the same city, and the historical medical insurance service data corresponds one-to-one with the medical insurance services.

[0047] Step S002: Based on the classification standards of all medical service institutions, several categories of medical service institutions are obtained; the number of services of each medical insurance service in each medical service institution is analyzed to obtain the main business degree of each medical insurance service in each medical service institution; combined with the differences in the main business degree of the same medical insurance service in the same category of medical service institutions, an initial medical institution-core medical insurance service matrix is ​​constructed; based on the population density changes in the influence range of each medical service institution, the influence radius of each medical service institution is obtained.

[0048] Preferably, in one embodiment of the present invention, several categories of medical service institutions are obtained based on the grading standards of all medical service institutions, including the following specific methods:

[0049] For all medical service institutions, based on the existing three-level and ten-grade grading standard, medical service institutions at the same level are grouped into one category, resulting in several categories of medical service structures. It should be noted that the grading standard differs in terms of reimbursement ratio, diagnostic service content, designated institutions for special diseases, and authorized institutions for special drugs in medical insurance services. The grading standard is constructed and categories are divided accordingly.

[0050] Preferably, in one embodiment of the present invention, the number of services covered by medical insurance in each medical service institution is analyzed to obtain the degree of main business of each medical insurance service in each medical service institution. Combined with the differences in the degree of main business of the same medical insurance service among medical service institutions of the same category, an initial medical institution-core medical insurance service matrix is ​​constructed. The specific method includes:

[0051] For any medical service institution within any category, based on all historical medical insurance service data of that institution, the quantity of any one type of medical insurance service is obtained. The ratio of this quantity to the total quantity of the institution's historical medical insurance services is taken as the degree of the institution's main business for that medical insurance service. Specifically, if a medical service institution's historical medical insurance service data does not include a particular medical insurance service, then the degree of its main business for that medical insurance service is 0. The degree of the main business for that medical insurance service of each medical service institution within that category is obtained using the above method. The difference between this degree and the mean of the degree of the main business for that medical insurance service of all medical service institutions in that category is taken as the core service factor for that medical service of that institution. The core service factors for all medical insurance services within that medical service structure are obtained using the above method and then linearly normalized. The result is taken as the core service degree of each medical insurance service of that medical service institution.

[0052] Furthermore, by grouping medical service institutions with the same service as the same row and medical insurance services with the same service as the same column, and taking the core service level of each medical service institution and each medical insurance service as the elements of the corresponding row and column, a matrix composed of the core service level of each medical service institution and each medical insurance service is obtained, which serves as the initial medical institution-core medical insurance service matrix.

[0053] It should be noted that by analyzing the historical medical insurance service data of medical service institutions, the frequency of each medical insurance service appearing in the corresponding medical service institutions is quantified, and the difference is analyzed by combining the frequency of the same medical insurance service in other medical service institutions of the same category, so as to reflect the difference between the main services. The larger the value relative to the mean, the greater the probability of the core service. In this way, an initial medical institution-core medical insurance service matrix is ​​constructed.

[0054] It should be further explained that each medical service institution has its own service influence range. The higher its level, the larger its influence range. The medical insurance services it provides have a greater impact on other lower-level medical service institutions. Therefore, when obtaining user preferences, it is necessary to consider the influence relationship between different medical service institutions. This requires first obtaining the influence radius of the medical service institution. By analyzing the population density changes of different radii within the spatial range centered on the medical service institution, the influence radius can be quantified, that is, the radius corresponding to the maximum population density within the influence range.

[0055] Preferably, in one embodiment of the present invention, the method for obtaining the influence radius of each medical service institution based on the population density change within the influence area of ​​each medical service institution includes:

[0056] For any medical service institution, an initial radius of 1km is set, and the radius is increased by 1km increments, with a maximum radius of 15km. Several spatial radii are obtained in this way. The population density within a range with the location of the medical service institution as the center and any spatial radius as the radius is obtained. The spatial radius corresponding to the maximum population density among the spatial radii of the medical service institution is taken as the influence radius of the medical service institution.

[0057] Thus, the initial medical institution-core medical insurance service matrix is ​​obtained, along with the influence radius of the medical service institutions.

[0058] Step S003: Based on the distribution distance between the two medical service institutions and the differences in the medical insurance services they cover, and combined with the influence radius of the two medical service institutions, the degree of influence of the two medical service institutions is obtained; the degree of influence of other medical service institutions on the medical service institutions corresponding to the user's historical medical service data is analyzed, and the subjective influence coefficient of the user on the medical insurance services of the corresponding medical service institutions is obtained by judging the influence threshold, and the medical institution-core medical insurance service matrix of each user is adjusted accordingly.

[0059] Preferably, in one embodiment of the present invention, the degree of influence of the two medical service institutions is obtained based on the distribution distance between the two medical service institutions and the differences in the medical insurance services they cover, combined with the influence radius of the two medical service institutions. The specific method includes:

[0060] For any two medical service institutions, obtain the spatial distance between their locations (the actual distance corresponding to their geographical locations, calculated using Euclidean distance to the geographical coordinates), and use this distance as the spatial distance between the two medical service institutions. If one of the influence radii of influence corresponding to the two medical service institutions is greater than or equal to the spatial distance, set the distance influence factor of the two medical service institutions to 1. If the influence radii of influence corresponding to the two medical service institutions are both less than the spatial distance, obtain the ratio of the spatial distance to the maximum spatial distance between any two medical service institutions, and subtract the ratio from 1 to obtain the difference, which is used as the distance influence factor between the two medical service institutions.

[0061] Furthermore, obtain several medical insurance services corresponding to the historical medical insurance service data of either of the two medical service institutions, and use them as the medical insurance services covered by that medical service institution; obtain the number of the same type of medical insurance services in the medical insurance services covered by each of the two medical service institutions, that is, the existence of the same medical insurance services in their respective medical insurance services, count the number, and use it as the number of the same medical insurance services of the two medical service institutions; use the ratio of the number of the same medical insurance services to the total number of medical insurance services as the service impact factor of the two medical service institutions.

[0062] Furthermore, the average of the distance influence factor and the service influence factor of the two medical service institutions is taken as the degree of influence of the two medical service institutions.

[0063] It should be noted that this embodiment considers distance distribution to be just as important as the same medical service. Therefore, the influence degree is constructed by averaging the distance influence factor and the service influence factor. The closer the spatial distance is, or even smaller than the influence radius, the larger the distance influence factor is and it is close to or equal to 1, that is, there is an influence between the two medical service institutions in space. At the same time, the more identical medical insurance services there are, the greater the influence of the corresponding medical insurance services. This is how the service influence factor is obtained.

[0064] It should be further explained that after determining the degree of influence, the user's historical medical service data on the selection of corresponding medical service institutions indicates its subjective influence based on the degree of influence. Therefore, it is necessary to quantify this subjective influence based on the initial medical institution-core medical insurance service matrix. That is, the greater the degree of influence and the more medical service institutions, but the user still chooses the corresponding medical service institution, the greater the subjective influence. It is necessary to adjust the matrix element values ​​of the corresponding medical insurance services used in order to obtain the medical institution-core medical insurance service matrix for each user.

[0065] Preferably, in one embodiment of the present invention, the degree of influence of other medical service institutions on the medical service institutions corresponding to the user's historical medical service data is analyzed, and the subjective influence coefficient of the user on the medical insurance services of the corresponding medical service institutions is obtained by judging the influence threshold. This is used to adjust and obtain the medical institution-core medical insurance service matrix for each user. The specific method includes:

[0066] For any user's historical medical service data, this historical medical service data corresponds to a medical service institution and a medical insurance service used by the user at that medical service institution. This medical service institution is considered as a historical medical service institution for the user, and the medical insurance service used is considered as a historical medical insurance service for the user. A preset influence threshold is set, which is described as 0.7 in this embodiment. The number of medical service institutions whose influence on the historical medical service institution is greater than the influence threshold is obtained. The difference between the total number of medical service institutions and 1 is obtained. The ratio of the total number to the difference is used as the user's subjective influence factor on the historical medical service institution and the historical medical insurance service. Several historical medical service data with the same medical service institution and medical insurance service as the historical medical service data are obtained from all of the user's historical medical service data, and the subjective influence coefficient is calculated according to the above method. The mean of all subjective influence factors is used as the user's subjective influence coefficient on the medical insurance service corresponding to the historical medical service institution.

[0067] Furthermore, the sum obtained by adding 1 to the subjective influence coefficient is multiplied by the element value (core service level) corresponding to the medical service institution and the medical insurance service in the initial medical institution-core medical insurance service matrix. This product is used as the element at that position in the user's medical institution-core medical insurance service matrix, thus updating the corresponding elements of the user's medical institution-core medical insurance service matrix. Based on all the user's historical medical service data, each element in the initial medical institution-core medical insurance service matrix is ​​updated (elements corresponding to medical service institutions and medical insurance services not included in the historical medical service data do not need to be updated), and finally, the user's medical institution-core medical insurance service matrix is ​​obtained.

[0068] This completes the user's medical institution-core medical insurance service matrix.

[0069] Step S004: Based on the user's medical institution-core medical insurance service matrix, match and push medical insurance services to the user.

[0070] It should be noted that after medical service institutions perform facial recognition on users through the desktop service terminal for medical insurance business, they extract a large amount of historical medical service data of users through the database and generate a corresponding medical institution-core medical insurance service matrix for users. By obtaining medical service institutions of the same category and their corresponding element values ​​in the matrix, medical insurance services are pushed to the current medical service institution to match medical insurance services based on user preferences.

[0071] Specifically, for any user and their current medical service institution, after obtaining the user's medical institution-core medical insurance service matrix, the user's current medical service institution is designated as the user's current medical service institution. The current medical service institution performs facial recognition on the user through the medical insurance business desktop service terminal and obtains the corresponding medical insurance information; the category of the current medical service institution is obtained and recorded as the user's current category, and the medical insurance services covered by the current medical service institution are also obtained; the average value of all medical service institutions in the current category for any medical insurance service covered by the current medical service institution is obtained in the user's medical institution-core medical insurance service matrix, which is taken as the matching degree of the current medical service institution for that medical insurance service. The matching degree of all medical insurance services covered by the current medical service institution is obtained in the same way as above. The medical insurance services covered by the current medical service institution are sorted in descending order of matching degree, and each medical insurance service covered by the current medical service institution is displayed in windows on the medical insurance business desktop service terminal. The windows are arranged from top to bottom according to the order of medical insurance services covered by the current medical service institution, thus realizing contactless medical insurance service matching and push for the user by the current medical service institution.

[0072] This concludes the embodiment.

[0073] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A scene-based adaptive non-contact medical service matching method, characterized in that, The method comprises the following steps: Face recognition is performed through a medical insurance business desktop service terminal of a medical service institution to obtain medical insurance information and a large amount of historical medical service data of the user, and a large amount of historical medical insurance service data of the medical service institution is obtained; Based on the grading standards of all medical service institutions, the categories of a plurality of medical service institutions are obtained; the service quantities of each medical insurance service in each medical service institution are analyzed to obtain the main business degree of each medical insurance service of each medical service institution, and the differences between the main business degrees of the same medical insurance services in the medical service institutions of the same category are combined to construct an initial medical institution-core medical insurance service matrix; the influence radius of each medical service institution is obtained based on the population density changes in the influence range of each medical service institution; Based on the distribution distance between two medical service institutions and the differences between the medical insurance services covered by each medical service institution, the influence degree of the two medical service institutions is obtained in combination with the influence radius of the two medical service institutions; the influence degree of the medical service institution corresponding to the historical medical service data of the user to other medical service institutions is analyzed, and the subjective influence coefficient of the user to the corresponding medical insurance service of the medical service institution is obtained through the influence threshold value to adjust the medical institution-core medical insurance service matrix of each user; Based on the medical institution-core medical insurance service matrix of the user, the medical insurance service matching of the user is pushed; The influence degree of the two medical service institutions is obtained by the following specific method: Based on the distribution distance between the positions of the two medical service institutions and the influence radius of each medical service institution, the distance influence factor of the two medical service institutions is obtained; The historical medical insurance service data of any medical service institution in any two medical service institutions is obtained as a plurality of medical insurance services covered by the medical service institution; the number of medical insurance services of the same type in the respective covered medical insurance services of the two medical service institutions is obtained as the same medical insurance service quantity of the two medical service institutions, and the ratio of the same medical insurance service quantity to the total number of medical insurance services is taken as the service influence factor of the two medical service institutions; The average value of the distance influence factor and the service influence factor of the two medical service institutions is taken as the influence degree of the two medical service institutions. The distance influence factor of the two medical service institutions is obtained by the following specific method: The spatial distance between the positions of any two medical service institutions is obtained as the spatial distance of the two medical service institutions; if one of the influence radii corresponding to the two medical service institutions is greater than or equal to the spatial distance, the distance influence factor of the two medical service institutions is set to 1; if the influence radii corresponding to the two medical service institutions are both less than the spatial distance, the ratio of the spatial distance to the maximum spatial distance of all any two medical service institutions is obtained, and the difference obtained by subtracting the ratio from 1 is taken as the distance influence factor of the two medical service institutions.

2. The method of claim 1, wherein, The categories of a plurality of medical service institutions are obtained by the following specific method: For all medical service institutions, the medical service institutions of the same level are taken as a category according to the existing three-level ten-grade classification standard, and the categories of a plurality of medical service institutions are obtained.

3. The method of claim 1, wherein, The specific method for obtaining the main degree of each medical service of each medical service institution comprises the following steps: For any medical service institution of any category, based on all historical medical service data of the medical service institution, the number of any medical service is obtained, and the ratio of the number of the medical service to the number of historical medical service data of the medical service institution is taken as the main degree of the medical service of the medical service institution.

4. The method of claim 1, wherein, The specific method for constructing the initial medical institution-core medical service matrix comprises the following steps: The difference between the main degree of any medical service of any medical service institution of any category and the average of the main degrees of the medical service of all medical service institutions of the category is taken as the core service factor of the medical service of the medical service institution. The core service factors of all medical services of the medical service institution are obtained and linearly normalized to obtain the core service degree of each medical service of the medical service institution. The core service degrees of each medical service of each medical service institution are taken as elements of the corresponding row and column to obtain a matrix composed of the core service degrees of each medical service of each medical service institution, which is taken as the initial medical institution-core medical service matrix.

5. The method of claim 1, wherein, The specific method for obtaining the influence radius of each medical service institution comprises the following steps: For any medical service institution, an initial radius, a step size and a maximum radius are set to obtain a plurality of spatial radii. The population density in the range with the medical service institution as the center and any spatial radius as the radius is obtained, and the spatial radius corresponding to the maximum population density corresponding to each spatial radius of the medical service institution is taken as the influence radius of the medical service institution.

6. The method of claim 1, wherein, The specific method for obtaining the subjective influence coefficient of a user for a medical service of a corresponding medical service institution comprises the following steps: For any historical medical service data of any user, the historical medical service data corresponds to a medical service institution and a medical service used by the user in the medical service institution, the medical service institution is taken as a historical medical service institution of the user, and the medical service is taken as a historical medical service of the user. An influence threshold is preset, the number of medical service institutions with an influence degree greater than the influence threshold is obtained, and the difference between the number of all medical service institutions and 1 is obtained, and the ratio of the number to the difference is taken as the subjective influence factor of the user for the historical medical service institution and the historical medical service. The same historical medical service data as the historical medical service data corresponding to the medical service institution and the medical service used by the user are obtained from all historical medical service data of the user, and the subjective influence coefficient is calculated, and the average of all subjective influence factors is taken as the subjective influence coefficient of the user for the medical service corresponding to the historical medical service institution and the historical medical service.

7. The method of claim 1, wherein, The specific method for obtaining the medical institution-core medical service matrix of each user comprises the following steps: The sum value obtained by adding 1 and the subjective influence coefficient is multiplied by the element value corresponding to the medical service of the medical service institution in the initial medical institution-core medical insurance service matrix, and the product is taken as the element of the medical institution-core medical insurance service matrix of the user at this position; Based on all the historical medical service data of the user, each element in the initial medical institution-core medical insurance service matrix is updated, and finally the medical institution-core medical insurance service matrix of the user is obtained.

8. The method of claim 1, wherein, The medical insurance service matching and pushing of the user based on the medical institution-core medical insurance service matrix includes the following specific methods: For any user and the medical service institution where the user is currently located, the medical service institution where the user is currently located is taken as the current medical service institution of the user, the category of the current medical service institution is obtained, denoted as the current category of the user, and the covered medical insurance services of the current medical service institution are obtained; In the medical institution-core medical insurance service matrix of the user, the mean value of the element value of any covered medical insurance service of the current medical service institution of the current category of all medical service institutions is obtained, which is taken as the matching degree of the current medical service institution of the user for the covered medical insurance service, the matching degrees of all covered medical insurance services of the current medical service institution of the user are obtained, the covered medical insurance services of the current medical service institution are sorted in descending order of matching degree, and the covered medical insurance services are displayed on the medical insurance business desktop service terminal in each window, and each window is arranged from top to bottom according to the order of the covered medical insurance services.

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