Analysis methods, devices, equipment and storage media for health quality and medical services

Abstract

The present application provides a method, device, equipment and storage medium for analyzing health quality and medical services, and relates to the field of data processing technology. The method includes: obtaining multiple groups of contracted user information from a preset user contract database; determining the health impact factor coordinates of users within a preset research period according to each group of contracted user information and the scores of multiple health impact factors of users corresponding to each group of contracted user information obtained; calculating the health quality index of the preset research period according to the health impact factor coordinates of multiple users within the preset research period; obtaining the medical service index of the preset research period according to each group of contracted user information and the medical service data of users within the preset research period obtained. Compared with the prior art, it avoids the lack of microscopic and refined analysis methods for the correlation between the improvement of residents' health quality and medical services, resulting in the problem of being unable to provide refined management of medical services.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and more specifically, to a method, device, equipment and storage medium for analyzing health quality and medical services. Background Art

[0002] With the advancement of medical technology, the improvement in the effectiveness of public health services will help alleviate the pressure on medical services and further promote the high-quality development of the national health cause by building an integrated medical and prevention system; therefore, it is very important to conduct reasonable health assessments for people.

[0003] Currently, most of the existing technologies for studying the correlation or development trend between public health services and medical services are based on macro-statistical analysis.

[0004] However, this type of analysis does not have a microscopic and refined analysis method for the correlation between the improvement of residents' health quality and medical services, resulting in the inability to provide refined management of medical services. Summary of the invention

[0005] The purpose of this application is to provide a method, device, equipment and storage medium for analyzing health quality and medical services in response to the above-mentioned deficiencies in the prior art, so as to solve the problem that the prior art lacks microscopic and refined analysis methods for the correlation between the improvement of residents' health quality and medical services, which in turn leads to the inability to provide refined management of medical services.

[0006] To achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for analyzing health quality and medical services, the method comprising:

[0008] Acquire multiple groups of contracted user information from a preset user contract database, where each group of contracted user information corresponds to one user;

[0009] According to each group of contracted user information, obtaining scores of multiple health influencing factors of users corresponding to each group of contracted user information within a preset research period from a preset user health database;

[0010] Determining the health impact factor coordinates of the user within the preset research period according to the scores of the multiple health impact factors of the user;

[0011] Calculating the health quality index of the preset research period according to the health impact factor coordinates of multiple users in the preset research period;

[0012] According to the information of each group of contracted users, obtaining the medical service data of the users within the preset research period from a preset medical service database;

[0013] The medical service data of the user in the preset research period is accumulated to obtain the medical service index of the preset research period.

[0014] Optionally, determining the health impact factor coordinates of the user within the preset research period according to the scores of the multiple health impact factors of the user includes:

[0015] The health impact factor coordinates of the user within the preset research period are determined according to the scores of the multiple static health impact factors of the user and the scores of the multiple dynamic health factors of the user.

[0016] Optionally, the scores of the multiple health impact factors include: scores of the multiple health impact factors in at least one unit time period within the preset research period;

[0017] The step of determining the health impact factor coordinates of the user within the preset research period according to the scores of the plurality of health impact factors of the user includes:

[0018] Determining the health impact factor coordinates of the user in the at least one unit time period respectively according to the scores of the multiple health impact factors in the at least one unit time period;

[0019] The step of calculating the health quality index of the preset research period according to the health impact factor coordinates of the plurality of users in the preset research period includes:

[0020] Calculate the health quality index of the at least one unit time period respectively according to the health influencing factor coordinates of the plurality of users in the at least one unit time period;

[0021] The health quality index of the preset research period is calculated according to the health quality index of the at least one unit time period.

[0022] Optionally, the calculating the health quality index of the at least one unit time period respectively according to the health impact factor coordinates of the plurality of users in the at least one unit time period includes:

[0023] Clustering the health influencing factor coordinates of the multiple users in each unit time period to obtain multiple health influencing factor coordinate clusters corresponding to each unit time period;

[0024] The health quality index of each unit time period is calculated according to the centroid coordinates of the multiple health influencing factor coordinate clusters corresponding to each unit time period, the number of users in each health influencing factor coordinate cluster and the total number of users.

[0025] Optionally, calculating the health quality index of the preset research period according to the health quality index of the at least one unit time period includes:

[0026] The health quality index of the at least one unit time period is accumulated to obtain the health quality index of the preset research period.

[0027] Optionally, the method further comprises:

[0028] Comparing the medical service index in the pre-study time period before the preset research cycle with the medical service index in the preset research cycle to obtain a change value of the first medical service index before and after the preset research cycle; wherein the pre-study time period and the preset research cycle have the same time range;

[0029] According to the first medical service indicator change value and the health quality indicator of the preset research period, a first indicator transformation relationship between the health quality indicator and the medical service indicator is calculated.

[0030] Optionally, the preset research cycle includes: a first research cycle and a second research cycle, and the method further includes:

[0031] Comparing the health quality indexes in the first research period and the second research period to determine the change values ​​of the health quality indexes;

[0032] Comparing the medical service indicators in the first research period and the second research period to determine a change value of the second medical service indicator;

[0033] A second indicator transformation relationship between the health quality indicator and the medical service indicator is calculated according to the health quality indicator change value and the second medical service indicator change value.

[0034] In a second aspect, another embodiment of the present application provides a device for analyzing health quality and medical services, the device comprising: an acquisition module, a determination module and a calculation module, wherein:

[0035] The acquisition module is used to acquire multiple groups of contracted user information from a preset user contract database, each group of contracted user information corresponding to one user; and acquire, from a preset user health database, scores of multiple health influencing factors of the user corresponding to each group of contracted user information within a preset research period according to each group of contracted user information;

[0036] The determination module is used to determine the health impact factor coordinates of the user within the preset research period according to the scores of the multiple health impact factors of the user;

[0037] The calculation module is used to calculate the health quality index of the preset research period according to the health impact factor coordinates of multiple users in the preset research period;

[0038] The acquisition module is specifically used to acquire the medical service data of the user within the preset research period from a preset medical service database according to the information of each group of contracted users;

[0039] The calculation module is specifically used to accumulate the medical service data of the user within the preset research period to obtain the medical service index of the preset research period.

[0040] Optionally, the determination module is specifically used to determine the health impact factor coordinates of the user within the preset research period according to the scores of multiple static health impact factors of the user and the scores of multiple dynamic health factors of the user.

[0041] Optionally, the scores of the multiple health impact factors include: scores of the multiple health impact factors in at least one unit time period within the preset research period;

[0042] The determination module is specifically configured to determine the health impact factor coordinates of the user in the at least one unit time period respectively according to the scores of the multiple health impact factors in the at least one unit time period;

[0043] The calculation module is specifically used to calculate the health quality index of at least one unit time period respectively according to the health influencing factor coordinates of the multiple users in the at least one unit time period; and calculate the health quality index of the preset research period according to the health quality index of the at least one unit time period.

[0044] Optionally, the device further comprises: a clustering module, configured to cluster the health influencing factor coordinates of the plurality of users in each unit time period to obtain a plurality of health influencing factor coordinate clusters corresponding to each unit time period;

[0045] The calculation module is specifically used to calculate the health quality index of each unit time period according to the centroid coordinates of the multiple health impact factor coordinate clusters corresponding to each unit time period, the number of users in each health impact factor coordinate cluster and the total number of users.

[0046] Optionally, the calculation module is specifically used to accumulate the health quality index of the at least one unit time period to obtain the health quality index of the preset research period.

[0047] Optionally, the device further comprises: a comparison module, configured to compare the medical service index in the pre-study time period before the preset research cycle with the medical service index in the preset research cycle, to obtain a change value of the first medical service index before and after the preset research cycle; wherein the pre-study time period and the preset research cycle have the same time range;

[0048] The calculation module is specifically used to calculate a first indicator transformation relationship between the health quality indicator and the medical service indicator according to the change value of the first medical service indicator and the health quality indicator of the preset research period.

[0049] Optionally, the comparison module is specifically used to compare the health quality index in the first research period and the second research period to determine the change value of the health quality index; compare the medical service index in the first research period and the second research period to determine the change value of the second medical service index;

[0050] The calculation module is specifically used to calculate the second indicator transformation relationship between the health quality indicator and the medical service indicator according to the health quality indicator change value and the second medical service indicator change value.

[0051] In the third aspect, another embodiment of the present application provides an analysis device for health quality and medical services, including: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, when the analysis device for health quality and medical services is running, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to perform the steps of any method described in the first aspect above.

[0052] In a fourth aspect, another embodiment of the present application provides a storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of any method described in the first aspect are executed.

[0053] The beneficial effect of the present application is that by adopting the analysis method of health quality and medical services provided by the present application, multiple groups of contracted user information can be obtained in a preset user contract database, and based on each group of contracted user information, the molecules of multiple health influencing factors corresponding to the user of each group of contracted user information within a preset research period are obtained from the preset user health database, and the coordinates of the health influencing factors within the research period are determined according to the branches of multiple health influencing factors, so as to calculate the health quality index of the preset research period. This calculation method can refine the calculation of health quality index and medical service index within each preset research period based on multiple groups of contracted user information, and then subsequently guide the relevant work of improving health quality based on the health quality index and medical service index within each research period; solve the problem that the lack of microscopic and refined analysis methods for the correlation between the improvement of residents' health quality and medical services leads to the inability to provide refined management of medical services. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 A flowchart of a method for analyzing health quality and medical services provided in one embodiment of the present application;

[0056] Figure 2 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application;

[0057] Figure 3 A schematic diagram of a coordinate cluster provided in an embodiment of the present application;

[0058] Figure 4 A schematic diagram of a coordinate cluster provided in another embodiment of the present application;

[0059] Figure 5 A schematic diagram of a coordinate cluster provided in another embodiment of the present application;

[0060] Figure 6 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application;

[0061] Figure 7 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application;

[0062] Figure 8A schematic diagram of the structure of a device for analyzing health quality and medical services provided in one embodiment of the present application;

[0063] Fig. 9 A schematic diagram of the structure of a device for analyzing health quality and medical services provided in another embodiment of the present application;

[0064] Fig.10 This is a schematic diagram of the structure of a health quality and medical service analysis device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments.

[0066] The components of the embodiments of the present application generally described and shown in the drawings herein may be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0067] In addition, the flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art can add one or more other operations to the flowchart under the guidance of the content of this application, and can also remove one or more operations from the flowchart.

[0068] The following is an explanation of a method for analyzing health quality and medical services provided in an embodiment of the present application in combination with a number of specific application examples. Figure 1 A flowchart of a method for analyzing health quality and medical services provided in one embodiment of the present application is shown in FIG. Figure 1 As shown, the method includes:

[0069] S101: Acquire multiple groups of contracted user information from a preset user contract database, where each group of contracted user information corresponds to one user.

[0070] Among them, a large amount of user data information is stored in the preset user contract database, and each user data information includes multiple groups of contract user information, including but not limited to: contract user identity information, contract user health influencing factor information, contract user medical information, etc. It should be understood that the above data implementation examples are only exemplary, and the information content included in the specific contract user information can be flexibly adjusted according to user needs, and is not limited to the above implementation examples.

[0071] S102: According to each group of contracted user information, the scores of multiple health influencing factors of the users corresponding to each group of contracted user information within a preset research period are obtained from a preset user health database.

[0072] For example, based on the identity information of the contracting user, the scores of all health influencing factors corresponding to the identity information can be obtained in a preset user health database, which are the scores of multiple health influencing factors of the contracting user.

[0073] S103: Determine the coordinates of the user's health influencing factors within a preset research period according to the scores of the user's multiple health influencing factors.

[0074] In one embodiment of the present application, the method for calculating the health impact factor coordinates may be, for example, determining the health impact factor coordinates of the user within a preset research period based on the scores of the user's multiple static health impact factors and the scores of the user's multiple dynamic health factors.

[0075] S104: Calculate the health quality index of the preset research period according to the health influencing factor coordinates of multiple users in the preset research period.

[0076] S105: According to the information of each group of contracted users, the medical service data of the users within the preset research period is obtained from a preset medical service database.

[0077] In one embodiment of the present application, the health information collection directory may include, for example: a medical service information collection directory, the medical service data in the preset medical service database are all pre-collected medical service information of contracted users, wherein the medical service information collection directory may be, for example, as shown in Table 1; after collecting the user's medical service information, the contracted user's identity identification number may also be used as a unique identification identifier, and the collected medical service information may be stored in the preset medical service database.

[0078] Table 1:

[0079]

[0080]

[0081] S106: Accumulate the medical service data of users within the preset research period to obtain the medical service index of the preset research period.

[0082] In some possible embodiments, medical service indicators may include, for example, the total number of medical consultations d1, the total number of hospitalizations d2, the total number of hospital days d3, the total medical expenses d4, the total drug usage d5, the types of new chronic diseases d6, the number of new chronic disease cases d7, etc., that is, the medical service data of the sample user population is accumulated during the research period.

[0083] By adopting the analysis method of health quality and medical services provided in this application, multiple groups of contracted user information can be obtained in a preset user contract database, and based on each group of contracted user information, the molecules of multiple health influencing factors corresponding to the users of each group of contracted user information within the preset research period can be obtained from the preset user health database, and the coordinates of the health influencing factors within the research period can be determined according to the branches of multiple health influencing factors, so as to calculate the health quality indicators of the preset research period. This calculation method can refine the calculation of health quality indicators and medical service indicators within each preset research period based on multiple groups of contracted user information, and then subsequently guide the relevant work of improving health quality based on the health quality indicators and medical service indicators within each research period; solve the problem of the lack of microscopic and refined analysis methods for the correlation between the improvement of residents' health quality and medical services, which leads to the inability to provide refined management of medical services.

[0084] By way of example, in some possible embodiments, the data in the preset user health database may be, for example, pre-acquired data of each contracted user, which may include: information data collected from each contracted user, and health information data collected from each contracted user; wherein, the health information data of each contracted user may be, for example, collected according to the health information collection directory signed by the user, and the information data of each contracted user may be, for example, collected according to the contracted information data collection directory signed by the user.

[0085] Among them, the data collection directory of the contract information signed by the user can be, for example, as shown in Table 2. After collecting the contract information signed by the user, the identity identification number of the contracting user can be used as the unique identification identifier to store the collected contract information in the preset user health database.

[0086] Table 2:

[0087]

[0088]

[0089] In one embodiment of the present application, the health information collection directory may also include, for example: a health influencing factor collection directory, and the health influencing factor collection directory signed by the user may be, for example, as shown in Tables 2 to 4.

[0090] Among them, Table 3 is a collection catalog of static health impact factors; Table 4 is a collection catalog of dynamic health impact factors; Table 5 is a collection catalog of health impact factor sub-indicators. After collecting the health impact factor information signed by the user, the identity identification number of the signed user can also be used as the unique identification identifier to store the collected health impact factor information in the preset user health database, and according to the impact factor score table, it is converted into a quantifiable evaluation score, and the dynamic score X and the static score Y are respectively counted.

[0091] Table 3:

[0092]

[0093]

[0094] Table 4:

[0095]

[0096]

[0097] Table 5:

[0098]

[0099] In an embodiment of the present application, before obtaining user data, it is necessary to sign a contract with the user to be obtained. The signing method may be, for example:

[0100] A group of sample people (the number of people is n) are selected from a preset area as the users to be acquired, that is, the research objects, wherein the preset area can be, for example, a cell, a district, a street, a province, etc. The division of the specific preset area can be flexibly adjusted according to user needs, and this application does not impose any restrictions hereon.

[0101] The method for determining the sample population may also be, for example: obtaining a population with a certain disease as the sample population, thereby realizing special research on the disease; or determining a population of a certain age group as the sample population, thereby realizing special research on the population of that age group; or determining a population with similar or common attributes as the sample population, thereby realizing special research on the population with similar or common attributes, etc., so as to obtain the quantitative relationship between the improvement of the health quality of special populations and medical services. The specific method for determining the sample population can be flexibly adjusted according to user needs, and is not limited to the above-mentioned embodiments.

[0102] Among them, the individual selection of users to be acquired is non-specific and is a random blind selection. In order to improve the accuracy and universality of quantitative analysis, in the embodiment of the present application, n is set to a larger number, for example, n>5000. The service signing channel is then pushed to n sample users. After the user applies for signing and authorizes information retrieval, relevant data is collected for the preset user health database according to the user signing information collection directory. For the missing data in the user signing information collection directory, a report can be generated for the user to fill in and submit. If some sample users are unwilling to sign a contract, the same number of users can be randomly selected again in the area until the number of sample people signing the service is n.

[0103] In the embodiments of the present application, special circumstances of individual users during information collection (such as users forgetting to submit data or underreporting data, etc.) are taken into consideration, and in the case of a small number of missing samples, it will not affect the subsequent calculation results.

[0104] In some possible embodiments, collecting relevant data may include, for example, collecting user health influencing factor data. The collection method may, for example, be to push a collection request to the terminal device of the user to be collected based on a preset user health influencing factor information collection directory. After receiving the collection request, the user to be collected supplements and confirms the information according to the preset user health influencing factor collection directory in the collection request, and submits it after the supplement is completed, thereby completing the collection of relevant data.

[0105] In order to improve the efficiency of data collection, for some dynamic data that need to be collected daily, the user to be collected can pre-set the function of copying the data submitted on the previous day and pasting it into today's collected data. Then, only part of the data that needs to be modified needs to be modified in the data collected today, so as to achieve rapid data collection. This function can be turned on or off on the terminal device of the user to be collected according to the needs of the user, and can be flexibly adjusted according to the needs of the user, and is not limited to the above embodiments.

[0106] For some static data, a lower collection frequency may be preset, for example, it may be set to collect data once a week or once a month. The specific collection frequency may be flexibly adjusted and is not limited to that given in the above embodiment.

[0107] Optionally, based on the above embodiment, the embodiment of the present application may also provide a method for analyzing health quality and medical services. The implementation process of the above method is illustrated below in conjunction with the accompanying drawings. Figure 2 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application, wherein the scores of multiple health influencing factors include: scores of multiple health influencing factors within at least one unit time period within a preset research period; Figure 2 As shown, S103 may include:

[0108] S107: Determine the health impact factor coordinates of the user in at least one unit time period according to the scores of the multiple health impact factors in at least one unit time period.

[0109] For example, the determination method may be: let the relative static value of user i in the jth week be xi,j, let yi,j be the average of the dynamic value scores of user i for 7 consecutive days in the jth week Then the coordinate point of the health influencing factor of user i in week j is Ri,j(xi,j,yi,j)…(i ranges from 1 to n).

[0110] By analogy, the coordinates of the health influencing factors of all n users in this area in the jth week are R1,j(x1,j,y1,j), R2,j(x2,j,y2,j)…Rn,j(xn,j,yn,j).

[0111] For the coordinates of the health influencing factors of n users obtained in the jth week, there are the following n points, with the specific coordinates as follows: R1,j(x1,j,y1,j), R2,j(x2,j,y2,j), R3,j(x3,j,y3,j)…Rn-1,j(xn-1,j,yn-1,j), Rn,j(xn,j,yn,j).

[0112] S104 may include:

[0113] S108: Calculate the health quality index of at least one unit time period respectively according to the health influencing factor coordinates of the plurality of users in at least one unit time period.

[0114] In one embodiment of the present application, the calculation can, for example, cluster the health impact factor coordinates of multiple users in each unit time period to obtain multiple health impact factor coordinate clusters corresponding to each unit time period; based on the centroid coordinates of the multiple health impact factor coordinate clusters corresponding to each unit time period, the number of users in each health impact factor coordinate cluster and the total number of users, calculate the health quality index for each unit time period.

[0115] In some possible embodiments, noise data (eg, sparsely distributed data) may be excluded before clustering, that is, the noise data is not included in the calculation of the clustering algorithm.

[0116] In order to solve the problem of reduced sample size due to noisy data, missing collection, etc., during the sample collection process, we can consider increasing the number of originally signed users by a certain amount.

[0117] The method of calculating the centroid coordinates of the coordinate cluster by cluster analysis may be, for example, to perform cluster analysis on the n points using a Euclidean distance function and cluster them into three clusters. The clustering algorithm may be, for example, a k-means clustering algorithm.

[0118] Initially assume that A1, B1, C1 (A1, B1 and C1 are any three of the n points Ri,j (xi,j,yi,j…), let A1 be Rl,j (xl,j,yl,j), B1 be Rm,j (xm,j,ym,j), C1 be Rp,j (xp,j,yp,j)) are the centers (centroids) of the three clusters respectively, calculate the distance between each point Ri,j (xi,j,yi,j…) (i ranges from 1 to n) and A1, B1 and C1 respectively (except the points between A1, B1, C1 and itself), then:

[0119]

[0120]

[0121] Then, according to the above distance, select the nearest centroid (A1, B1, C1) from the other n-3 points to form a set of points of three clusters; calculate the centroids of these three clusters, assuming that there are g1(xg1, yg1), g2(xg2, yg2), and g3(xg3, yg3). Recalculate the distance from each point Ri,j(xi,j,yi,j)(i ranges from 1 to n) to g1, g2, g3, and reassign each point to the nearest centroid according to the principle of minimum distance to generate three coordinate clusters again; at this time, recalculate the centroids of the three coordinate clusters; if the centroid changes, repeat the above operation and regenerate the three coordinate clusters; if the centroid does not change, it is considered to have converged to form the final three coordinate clusters, i.e., three classes, and obtain three centroid coordinates, denoted as G1,j(x1,j, y1,j), G2,j(x2,j, y2,j), G3,j(x3,j, y3,j), and the calculation of the centroid coordinates of the coordinate cluster is completed.

[0122] It should be understood that the above embodiments are merely illustrative, and multiple clusters may be classified according to research needs, and are not limited to the three clusters currently given.

[0123] S109: Calculate the health quality index of a preset research period according to the health quality index of at least one unit time period.

[0124] In some possible embodiments, for example, the health quality indicators of at least one unit time period can be accumulated to obtain the health quality indicators of a preset research period; wherein the unit time period can be, for example, every week, or every ten days, etc.; the preset research cycle can be, for example, every three months as a research cycle, or every six months as a research cycle, or every year as a research cycle. The specific unit time period and research cycle can be flexibly adjusted according to user needs and are not limited to those given in the above embodiments.

[0125] According to the health quality indicators of unit time periods, the method for calculating the health quality indicators of a preset research period can, for example, be: according to the above calculation method, three coordinate clusters and center of mass coordinates of all unit time periods in the research period are obtained, which are respectively recorded as (G1,1, G2,1, G3,1), (G1,2, G2,2, G3,2), ... (G1,j, G2,j, G3,j) ... (G1,w, G2,w, G3,w), where w is the number of unit time periods.

[0126] Figure 3 A schematic diagram of a coordinate cluster provided in an embodiment of the present application; Figure 4 A schematic diagram of a coordinate cluster provided in another embodiment of the present application; Figure 5 A schematic diagram of a coordinate cluster provided in another embodiment of the present application is shown in FIG. Figure 3-Figure 5 As shown, each picture corresponds to a schematic diagram of the coordinate clusters corresponding to different unit time periods, the horizontal axis represents the relative static quantity score, and the vertical axis represents the dynamic quantity score. From left to right, they are the G1,j coordinate cluster (x1,j, y1,j), the G2,j coordinate cluster (x2,j, y2,j) and the coordinate cluster G3,j (x3,j, y3,j). The * in each coordinate cluster is the centroid coordinate of the coordinate cluster.

[0127] For G1,j(x1,j,y1,j), G2,j(x2,j,y2,j) and G3,j(x3,j,y3,j), if x1,j*y1,j>x2,j*y2,j, then it can be considered that the health quality of G1 coordinate cluster is higher than that of G2 coordinate cluster, and so on. For G1,1(x1,1,y1,1) and G1,2(x1,2,y1,2) at different time points, if x1,2*y1,2>x1,1*y1,1, then it can be considered that the health quality of the second unit time period is higher than that of the first unit time period, and so on.

[0128] Then, for the health quality index of each unit time period, the rectangular area enclosed by the centroid of the three coordinate clusters to the x-axis and y-axis is calculated, multiplied by the percentage of the number of people (h) included in the coordinate cluster in the total number (n) (in order to consider the proportion of the number of people in each coordinate cluster as a weight), and then added together to obtain the health quality index Sj of the population in a unit time period. Then we can get the overall health quality index Z of the population during the study period (a total of W weeks):

[0129] Optionally, based on the above embodiment, the embodiment of the present application may also provide a method for analyzing health quality and medical services. The implementation process of the above method is illustrated below in conjunction with the accompanying drawings. Figure 6 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application is shown as follows: Figure 6 As shown, in Figure 1 Based on this, the method may further include:

[0130] S110: Compare the medical service indicators in the pre-study time period before the preset research cycle with the medical service indicators in the preset research cycle to obtain a change value of the first medical service indicator before and after the preset research cycle.

[0131] The time range of the pre-study period and the preset research period is the same, thereby ensuring that the two time periods maintain the same collection range.

[0132] S111: Calculate a first indicator transformation relationship between the health quality indicator and the medical service indicator according to the change value of the first medical service indicator and the health quality indicator of the preset research period.

[0133] In the embodiment of the present application, for example, the quantitative indicators of medical services in the pre-study period are set, including the total number of consultations d01, the total number of hospitalizations d02, the total number of hospitalization days d03, the total medical expenses d04, the total drug expenses d05, the types of new chronic diseases d06, the number of new chronic disease cases d07, etc. The quantitative indicators of medical services in the preset research period are set, including the total number of consultations d'1, the total number of hospitalizations d'2, the total number of hospitalization days d'3, the total medical expenses d'4, the total drug expenses d'5, the types of new chronic diseases d'6, the number of new chronic disease cases d'7, etc. The health quality index Z in the preset research period is set; wherein: △d1=d'1-d01, △d2=d'2-d02, ... △d7=d'7-d07.

[0134] Then Z = |α1*△d1|, Z = |α2*△d2|, ... Z = |α7*△d7|, α1, α2, ... α7>0, the output α1, α2, ... α7 are all constants, which is the first indicator transformation relationship between the health quality index and the medical service index. This first indicator transformation relationship can be used to characterize the contribution of the health quality index to reducing medical behavior and medical expenses.

[0135] Optionally, based on the above embodiment, the embodiment of the present application may also provide a method for analyzing health quality and medical services. The implementation process of the above method is illustrated below in conjunction with the accompanying drawings. Figure 7 A flowchart of a method for analyzing health quality and medical services provided in another embodiment of the present application, wherein the preset research cycle includes: a first research cycle and a second research cycle. Figure 1 On the basis of Figure 7 As shown, the method may also include:

[0136] S112: Compare the health quality indicators in the first research cycle and the second research cycle to determine the change value of the health quality indicators.

[0137] Under the influence of the same external factors (such as no large-scale sudden outbreak of infectious diseases and other abnormal situations), the research cycle is set as the first research cycle and the second research cycle. The health quality index of the population in the first research cycle is set as Z1, and the quantitative indicators of medical services include the total number of consultations and treatments d11, the total number of hospitalizations d12, the total number of hospitalization days d13, the total medical expenses d14, the total drug expenses d15, the types of new chronic diseases d16, and the number of new chronic disease cases d17; the health quality index of the population in the second research cycle is set as Z2, and the quantitative indicators of medical services include the total number of consultations and treatments d21, the total number of hospitalizations d22, the total number of hospitalization days d23, the total medical expenses d24, the total drug expenses d25, the types of new chronic diseases d26, and the number of new chronic disease cases d27. Among them, the change value of the health quality index of the population in the two research cycles is △Z, then △Z=Z2–Z1.

[0138] S113: Compare the medical service indicators in the first research period and the second research period to determine the change value of the second medical service indicator.

[0139] The changes in the medical service indicators during the two research cycles were △d1=d21–d11, △d2=d22–d12, … △d7=d27–d17.

[0140] S114: Calculate a second indicator transformation relationship between the health quality indicator and the medical service indicator according to the change value of the health quality indicator and the change value of the second medical service indicator.

[0141] Then △Z=|β1*△d1|, △Z=|β2*△d2|, …△Z=|β7*△d7|, β1, β2, …β7>0, the output β1, β2, …β7 are all constants, which is the second indicator transformation relationship, used to characterize the quantitative changes in medical service indicators brought about by changes in health quality indicators.

[0142] In the embodiment of the present application, messages can also be pushed to the contracted user and the preset service personnel according to the calculation results, so as to remind the contracted user or the preset service personnel to perform health management. For example, when the difference and size of the area values ​​of the centroids of the three tribes in the same period and the difference and size of the area values ​​of the centroids of the same type in different periods are calculated, the system will remind the preset service personnel to prevent the polarization of health quality or strengthen health intervention work through message push. When the collected health impact factor score value becomes low, the system will push messages, for example, to the mobile terminal of the contracted user, so as to remind the user to perform health management of the lifestyle.

[0143] In some other possible embodiments, a health quality index, a plurality of medical service indexes, and a relationship constant between the health quality index and the medical service index may also be output according to the calculation results.

[0144] For example, in some possible embodiments, the output indicators can also be evaluated and analyzed to deduce corresponding development trends. For example, during the research period, the centroid trajectories of the three tribes are compared. If the area enclosed by the centroid coordinates of a tribe multiplied by the proportion of the number of people in the tribe to the total population shows an upward trend, it indicates that the overall health quality of the population has improved.

[0145] Then, the time period before the research cycle and the time period within the research cycle are compared. According to the output α1, α2, ... α7, the contribution of health quality indicators to reducing medical behaviors and medical expenses can be characterized, which has the significance of promotion and guidance for other regions, and can better predict the impact of improving health quality on medical service-related indicators.

[0146] By comparing the two research cycles, the output β1, β2, ... β7 can characterize the quantitative changes in the health quality indicators brought about by the medical service indicators. That is, it is possible to predict the corresponding change trend in the next research cycle based on the preset medical service indicators or health quality indicators. In order to achieve the requirements of reducing medical service-related expenses and total expenditures, targeted quantitative requirements for improving health quality can be put forward in turn.

[0147] By adopting the analysis method of health quality and medical services provided in this application, the user's health-related information, including but not limited to contract information, health influencing factor information, medical service information, etc., can be collected by pushing questionnaires to the user's mobile phone. Then, according to the preset model and algorithm, the collected data is calculated in units of research cycle and unit time period, and the health quality indicators of residents in the region and related medical service indicators are compared and analyzed to find out the inherent quantitative relationship between the changes in health influencing factors and medical service-related indicators, so as to achieve predictable, controllable, and quantifiable refined management of medical service-related indicators, and then guide and improve the related work of health quality and medical service improvement.

[0148] The following is an explanation of the health quality and medical service analysis device provided by the present application in conjunction with the accompanying drawings. The health quality and medical service analysis device can perform the above Figure 1-Figure 7 The specific implementation and beneficial effects of any analysis method of health quality and medical services are as mentioned above and will not be repeated below.

[0149] Figure 8 A schematic diagram of a device for analyzing health quality and medical services provided in one embodiment of the present application is shown in FIG. Figure 8 As shown, the device includes: an acquisition module 201, a determination module 202 and a calculation module 203, wherein:

[0150] The acquisition module 201 is used to acquire multiple groups of contracted user information from a preset user contract database, each group of contracted user information corresponding to one user; and acquire, from a preset user health database according to each group of contracted user information, scores of multiple health influencing factors of the user corresponding to each group of contracted user information within a preset research period;

[0151] A determination module 202, for determining the coordinates of the health impact factors of the user within a preset research period according to the scores of the multiple health impact factors of the user;

[0152] The calculation module 203 is used to calculate the health quality index of the preset research period according to the health impact factor coordinates of multiple users in the preset research period.

[0153] The acquisition module 201 is specifically used to acquire the medical service data of users within a preset research period from a preset medical service database according to the information of each group of contracted users;

[0154] The calculation module 203 is specifically used to accumulate the medical service data of the users within the preset research period to obtain the medical service index of the preset research period.

[0155] Optionally, the determination module 202 is specifically configured to determine the health impact factor coordinates of the user within a preset research period according to the scores of multiple static health impact factors of the user and the scores of multiple dynamic health factors of the user.

[0156] Optionally, the scores of the multiple health impact factors include: scores of the multiple health impact factors within at least one unit time period within a preset research cycle;

[0157] The determination module 202 is specifically configured to determine the health impact factor coordinates of the user in at least one unit time period according to the scores of the multiple health impact factors in at least one unit time period;

[0158] The calculation module 203 is specifically used to calculate the health quality index of at least one unit time period according to the health influencing factor coordinates of multiple users in at least one unit time period; and calculate the health quality index of a preset research period according to the health quality index of at least one unit time period.

[0159] Optionally, based on the above embodiment, the present application embodiment may also provide a device for analyzing health quality and medical services, as shown in the following figure. Figure 8 The implementation process of the given device is described by way of example. Fig. 9 A schematic diagram of a device for analyzing health quality and medical services provided in another embodiment of the present application is shown in FIG. Fig.10 As shown, the device further includes: a clustering module 204, which is used to cluster the health impact factor coordinates of multiple users in each unit time period to obtain multiple health impact factor coordinate clusters corresponding to each unit time period;

[0160] The calculation module 203 is specifically used to calculate the health quality index of each unit time period according to the centroid coordinates of multiple health impact factor coordinate clusters corresponding to each unit time period, the number of users in each health impact factor coordinate cluster and the total number of users.

[0161] Optionally, the calculation module 203 is specifically configured to accumulate the health quality index of at least one unit time period to obtain the health quality index of a preset research period.

[0162] like Fig. 9 As shown, the device further includes: a comparison module 205, which is used to compare the medical service index in the pre-study time period before the preset research cycle with the medical service index in the preset research cycle to obtain a change value of the first medical service index before and after the preset research cycle; wherein the time range of the pre-study time period and the preset research cycle is the same;

[0163] The calculation module 203 is specifically used to calculate a first indicator transformation relationship between the health quality indicator and the medical service indicator according to the change value of the first medical service indicator and the health quality indicator of a preset research period.

[0164] Optionally, the comparison module 205 is specifically used to compare the health quality index in the first research period and the second research period to determine the change value of the health quality index; compare the medical service index in the first research period and the second research period to determine the change value of the second medical service index;

[0165] The calculation module 203 is specifically used to calculate the second indicator transformation relationship between the health quality indicator and the medical service indicator according to the change value of the health quality indicator and the change value of the second medical service indicator.

[0166] The above-mentioned device is used to execute the method provided by the aforementioned embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0167] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0168] Fig.10 This is a schematic diagram of the structure of a health quality and medical service analysis device provided in an embodiment of the present application. The health quality and medical service analysis device can be integrated into a terminal device or a chip of the terminal device.

[0169] like Fig.10 As shown, the health quality and medical service analysis device includes: a processor 501, a storage medium 502 and a bus 503.

[0170] The processor 501 is used to store programs. The processor 501 calls the program stored in the storage medium 502 to execute the above Figure 1-Figure 7 The corresponding method embodiment has similar specific implementation methods and technical effects, which will not be described here.

[0171] Optionally, the present application also provides a program product, such as a storage medium, on which a computer program is stored, including a program that, when executed by a processor, executes an embodiment corresponding to the above method.

[0172] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0173] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0174] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0175] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

Claims

1. A method for analyzing health quality and medical services, characterized in that: The method comprises: Acquire multiple groups of contracted user information from a preset user contract database, where each group of contracted user information corresponds to one user; According to each group of contracted user information, the scores of multiple health influencing factors of the users corresponding to each group of contracted user information within a preset research period are obtained from a preset user health database; the scores of the multiple health influencing factors include: the scores of multiple health influencing factors within at least one unit time period within the preset research period; According to the scores of the multiple health impact factors in the at least one unit time period, the health impact factor coordinates of the user in the at least one unit time period are determined respectively; wherein the health impact factors are static health impact factors and dynamic health impact factors; the collected health impact factor information is stored in the preset user health database, and converted into a quantifiable evaluation score according to the impact factor score table, and the dynamic quantity score and the static quantity score are respectively counted; The method of determining the coordinates of the health impact factor of the user is as follows: let the relative static value of user i in the jth week be xi,j, let yi,j be the average of the dynamic value scores of user i for 7 consecutive days in the jth week Then the coordinate point of the health impact factor of the user i in the jth week is Ri, j (xi, j, yi, j), where i ranges from 1 to n; Calculating the health quality index of the preset research period according to the health influencing factor coordinates of multiple users in the preset research period; According to the information of each group of contracted users, obtaining the medical service data of the users within the preset research period from a preset medical service database; The medical service data of the user in the preset research period is accumulated to obtain the medical service index of the preset research period.

2. The method according to claim 1, characterized in that The step of calculating the health quality index of the preset research period according to the health impact factor coordinates of the plurality of users in the preset research period includes: Calculate the health quality index of the at least one unit time period respectively according to the health influencing factor coordinates of the plurality of users in the at least one unit time period; The health quality index of the preset research period is calculated according to the health quality index of the at least one unit time period.

3. The method according to claim 2, characterized in that The step of calculating the health quality index of at least one unit time period respectively according to the health impact factor coordinates of the plurality of users in the at least one unit time period includes: Clustering the health influencing factor coordinates of the multiple users in each unit time period to obtain multiple health influencing factor coordinate clusters corresponding to each unit time period; The health quality index of each unit time period is calculated according to the centroid coordinates of the multiple health influencing factor coordinate clusters corresponding to each unit time period, the number of users in each health influencing factor coordinate cluster and the total number of users.

4. The method according to claim 3, characterized in that The step of calculating the health quality index of the preset research period according to the health quality index of the at least one unit time period includes: The health quality index of the at least one unit time period is accumulated to obtain the health quality index of the preset research period.

5. The method according to claim 1, characterized in that The method further comprises: Comparing the medical service index in the pre-study time period before the preset research cycle with the medical service index in the preset research cycle to obtain a change value of the first medical service index before and after the preset research cycle; wherein the pre-study time period and the preset research cycle have the same time range; According to the first medical service indicator change value and the health quality indicator of the preset research period, a first indicator transformation relationship between the health quality indicator and the medical service indicator is calculated.

6. The method according to claim 1, characterized in that The preset research cycle includes: a first research cycle and a second research cycle, and the method further includes: Comparing the health quality indexes in the first research period and the second research period to determine the change values ​​of the health quality indexes; Comparing the medical service indicators in the first research period and the second research period to determine a change value of the second medical service indicator; A second indicator transformation relationship between the health quality indicator and the medical service indicator is calculated according to the health quality indicator change value and the second medical service indicator change value.

7. A device for analyzing health quality and medical services, characterized in that: The device comprises: an acquisition module, a determination module and a calculation module, wherein: The acquisition module is used to acquire multiple groups of contracted user information from a preset user contract database, each group of contracted user information corresponding to one user; based on each group of contracted user information, acquire scores of multiple health influencing factors of the user corresponding to each group of contracted user information within a preset research period from a preset user health database; the scores of the multiple health influencing factors include: scores of multiple health influencing factors within at least one unit time period within the preset research period; The determination module is used to determine the health impact factor coordinates of the user in the at least one unit time period according to the scores of the multiple health impact factors in the at least one unit time period; wherein the health impact factors are static health impact factors and dynamic health impact factors; the collected health impact factor information is stored in the preset user health database, and converted into a quantifiable evaluation score according to the impact factor score table, and the dynamic quantity score and the static quantity score are respectively counted; The method of determining the coordinates of the health impact factor of the user is as follows: let the relative static value of user i in the jth week be xi,j, let yi,j be the average of the dynamic value scores of user i for 7 consecutive days in the jth week Then the coordinate point of the health impact factor of the user i in the jth week is Ri, j (xi, j, yi, j), where i ranges from 1 to n; The calculation module is used to calculate the health quality index of the preset research period according to the health impact factor coordinates of multiple users in the preset research period; The acquisition module is specifically used to acquire the medical service data of the user within the preset research period from a preset medical service database according to the information of each group of contracted users; The calculation module is specifically used to accumulate the medical service data of the user within the preset research period to obtain the medical service index of the preset research period.

8. The device according to claim 7, characterized in that The determination module is specifically used to determine the health impact factor coordinates of the user within the preset research period according to the scores of the user's multiple static health impact factors and the scores of the user's multiple dynamic health factors.

9. An analytical device for health quality and medical services, characterized in that: The device includes: a processor, a storage medium and a bus, the storage medium stores machine-readable instructions executable by the processor, when the health quality and medical service analysis device is running, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to perform the method described in any one of claims 1 to 6.

10. A storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is executed.

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