Improved virtual two-step mobile search method based on online medical data

Abstract

The present invention provides a virtual two-step mobile search method based on online medical data improvement, which can be applied to the fields of computer technology and big data technology. The method includes: obtaining the first online medical data and the first offline address of each supply point, the second online medical data and the second offline address of each demand point; determining the supply and demand cost matrix according to the first offline address and the second offline address, each matrix value in the supply and demand cost matrix represents the time cost from the demand point to the supply point; determining at least one connected route within the search threshold range according to the supply and demand cost matrix, the connected route includes a candidate supply point and a candidate demand point; based on the virtual two-step mobile search algorithm, determining the comprehensive reachable result of each candidate demand point according to the first online medical data and the second online medical data; determining the hospital address according to the comprehensive reachable result of each candidate demand point.

Description

Technical Field

[0001] The present invention relates to the fields of computer technology and big data technology, and more specifically, to an improved virtual two-step mobile search method based on online medical treatment data. Background Art

[0002] With the continuous development of computer technology and big data technology, online diagnosis and treatment has gradually entered the public eye. Online diagnosis and treatment refers to a medical method that provides online medical services and support to patients through information technology such as the Internet. The way of online consultation is becoming more and more popular, breaking through the geographical limitations of traditional offline medical care and, to a certain extent, breaking the barriers of uneven and uncoordinated distribution of traditional medical resources. The trend of changes in residents' demand patterns for medical treatment requires dynamic adjustment of facility configuration and site selection to promote supply and demand balance and improve resource utilization efficiency.

[0003] Accessibility is widely used in the evaluation of the configuration convenience of public service facilities. The common method to measure accessibility is the two-step floating catchment area (2SFCA), which is based on searching twice between facility points and demand points to determine the supply-demand ratio, evaluate the convenience of residents in obtaining medical services, and further provide a reference for improving the layout and configuration of facilities. Existing improvements to the two-step floating catchment area include improvements to data sources, formula algorithms, control variables, function coefficients, parameters, etc., such as developing model algorithms, optimizing calculation parameters, updating model control variables, and improving calculation accuracy. However, the focus is still on the measurement of offline facility accessibility. There is a lack of measurement of online diagnosis and treatment service accessibility. It cannot reflect the evolution of residents' actual medical needs, and it cannot quantify the matching of medical facility supply and demand after online intervention, and thus cannot accurately guide the site selection of medical facilities under the online and offline medical treatment mode. Summary of the invention

[0004] In view of this, the present invention provides a virtual two-step mobile search method based on online medical treatment data improvement.

[0005] One aspect of the present invention provides an improved virtual two-step mobile search method based on online medical data, comprising: obtaining first online medical data and a first offline address of each supply point among multiple supply points, and second online medical data and a second offline address of each demand point among multiple demand points, wherein the supply points include hospitals and the demand points are determined based on population distribution; determining a supply and demand cost matrix based on the first offline address and the second offline address, wherein each matrix value in the supply and demand cost matrix represents the time cost from the demand point to the supply point; determining at least one connected route within a search threshold range based on the supply and demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point; determining a comprehensive reachable result for each candidate demand point based on the first online medical data of the candidate supply point and the second online medical data of the candidate demand point based on a virtual two-step mobile search algorithm; and determining a hospital address based on the comprehensive reachable result for each candidate demand point.

[0006] According to an embodiment of the present invention, the second online medical treatment data includes the number of online medical treatment visits and the online visit volume; based on the virtual two-step mobile search algorithm, the reachability result of each candidate demand point is determined according to the first online medical treatment data of the candidate supply point and the second online medical treatment data of the candidate demand point, including: determining the improved strength function of the connected route to which the candidate demand point belongs according to the online visit volume of the candidate demand point and the online evaluation data of the candidate supply point; determining the supply-demand ratio for each candidate supply point according to the improved strength function, the number of online medical treatment visits and the first online medical treatment data; determining the online reachable result for each candidate demand point according to the improved strength function and the supply-demand ratio; and determining the comprehensive reachable result for each candidate demand point according to the online reachable result.

[0007] According to an embodiment of the present invention, an improved strength function of a connected route to which a candidate demand point belongs is determined based on the online visits to the candidate demand point and the online evaluation data of the candidate supply point, including: determining the number of patients visiting the candidate demand point based on the online visits and the visit conversion rate of the candidate supply point in the same connected route as the candidate demand point; determining the attenuation function of the candidate demand point based on the hospital grade of the candidate demand point; and determining the improved strength function based on the number of patients visiting, the online visits, the online evaluation data of the candidate supply point and the attenuation function.

[0008] According to an embodiment of the present invention, the first online medical treatment data includes the number of online consulting doctors, the number of online service departments and the number of online registered doctors; the supply-demand ratio includes a first demand ratio, a second demand ratio and a third demand ratio corresponding to the number of online consulting doctors, the number of online service departments and the number of online registered doctors, respectively; the supply-demand ratio for each candidate supply point is determined based on the improved intensity function, the number of online medical treatments and the first online medical treatment data, including: determining the median value of each connected route based on the improved intensity function and the number of online medical treatments; determining the first demand ratio based on the median value of each connected route and the number of online consulting doctors; determining the second demand ratio based on the median value of each connected route and the number of online service departments; determining the third demand ratio based on the median value of each connected route and the number of online registered doctors.

[0009] According to an embodiment of the present invention, the online reachable results include a first online reachable result, a second online reachable result and a third online reachable result, which respectively correspond to the number of online consulting doctors, the number of online service departments and the number of online registered doctors; based on the online reachable results, a comprehensive reachable result for each candidate demand point is determined, including: normalizing the first online reachable result, the second online reachable result and the third online reachable result of each candidate demand point respectively to obtain a fourth online reachable result, a fifth online reachable result and a sixth online reachable result; determining the comprehensive reachable result based on the fourth online reachable result, the fifth online reachable result and the sixth online reachable result and their respective weights.

[0010] According to an embodiment of the present invention, an online reachable result for each candidate demand point is determined based on an improved intensity function and a supply-demand ratio, including: determining a first online reachable result for each candidate demand point based on the product of an improved intensity function and a first demand ratio; determining a second online reachable result for each candidate demand point based on the product of an improved intensity function and a second demand ratio; determining a third online reachable result for each candidate demand point based on the product of an improved intensity function and a third demand ratio.

[0011] According to an embodiment of the present invention, the method further includes: using an entropy weight method to determine the weights of the fourth online reachable result, the fifth online reachable result and the sixth online reachable result.

[0012] According to an embodiment of the present invention, the method further comprises: determining a search threshold value according to a matrix value in the supply and demand cost matrix.

[0013] According to an embodiment of the present invention, the hospital address is determined based on the comprehensive reachability result of each candidate demand point, including: visualizing the comprehensive reachability result of each candidate demand point to obtain a site selection reference map, wherein the site selection reference map represents multiple data segments by multiple colors, and the comprehensive reachability result is in the data segment; and determining the hospital address based on the color characteristics of the site selection reference map.

[0014] Another aspect of the present invention provides an improved virtual two-step mobile search device based on online medical data, comprising: an acquisition module for acquiring first online medical data and a first offline address of each supply point among multiple supply points, and second online medical data and a second offline address of each demand point among multiple demand points, wherein the supply points include hospitals and the demand points are determined based on population distribution; a first determination module for determining a supply and demand cost matrix based on the first offline address and the second offline address, wherein each matrix value in the supply and demand cost matrix represents the time cost from the demand point to the supply point; a second determination module for determining at least one connected route within the search threshold range based on the supply and demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point; a third determination module for determining a comprehensive reachable result for each candidate demand point based on the first online medical data of the candidate supply point and the second online medical data of the candidate demand point based on a virtual two-step mobile search algorithm; and a fourth determination module for determining a hospital address based on the comprehensive reachable result for each candidate demand point.

[0015] Another aspect of the present invention provides an electronic device, comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method as described above.

[0016] Another aspect of the present invention provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the above method when executed.

[0017] Another aspect of the present invention provides a computer program product, the computer program product comprising computer executable instructions, the instructions being used to implement the method as described above when being executed.

[0018] The embodiments of the present invention make comprehensive use of online and offline medical data, and perform site selection based on a virtual two-step mobile search algorithm, thereby optimizing the site selection accuracy. Specifically, the present invention makes up for the limitation that the traditional two-step mobile search method only focuses on the accessibility of offline physical facilities by introducing a systematic consideration of the accessibility of online medical treatment. Therefore, the virtual two-step mobile search method based on the improvement of online medical data proposed in the present invention can reflect the actual medical needs. On the one hand, it supplements the lack of accuracy of the traditional medical resource accessibility measurement. On the other hand, it can improve the dynamics, effectiveness and fairness of medical resource allocation, help optimize the reasonable layout and configuration efficiency of medical resources, and thus improve the site selection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The above and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings.

[0020] Figure 1 An exemplary system architecture of the virtual two-step mobile search method and device based on online medical treatment data improvement of the present invention is shown.

[0021] Figure 2 A flowchart of an improved virtual two-step mobile search method based on online medical treatment data according to an embodiment of the present invention is shown.

[0022] Figure 3 A schematic diagram of an improved virtual two-step mobile search method based on online medical treatment data according to a specific embodiment of the present invention is shown.

[0023] Figure 4 A block diagram of an improved virtual two-step mobile search device based on online medical treatment data according to an embodiment of the present invention is shown.

[0024] Figure 5 A block diagram of an electronic device 500 suitable for implementing an improved virtual two-step mobile search method based on online medical treatment data according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0025] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0026] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0027] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.

[0028] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0029] The concept of 2-Step Virtual Catchment Area (2SVCA) originated from Alford-Teaster et al., which was improved on the basis of 2SFCA. The enhanced virtual two-step mobile search method (E2SVCA) was further improved. It mainly improves the calculation parameters of the two-step mobile search method by establishing a function through the local network broadband communication strength, so as to measure the accessibility of online medical treatment. However, there are few related research results and it is still in its infancy. The existing schemes have at least the following problems:

[0030] (1) Lack of systematic consideration of the measurement of online accessibility of facilities. At present, the improvement of the two-step mobile search method involves model methods, formula calculations, parameter functions, etc., which improves the accuracy and precision of facility accessibility calculations in various aspects; but on the other hand, the mainstream technology and research still focus on the measurement of accessibility of offline physical facilities, and generally fail to pay enough attention to the application trend of online medical treatment in residents' medical behavior, fail to systematically propose a complete method for measuring the accessibility of online medical treatment, and fail to comprehensively apply online accessibility measurement to the site selection and configuration optimization of medical facilities.

[0031] (2) There is a lack of calculation methods with applicable and easily accessible data sources. The research methods for 2SVCA are still in their infancy. The data sources and calculation methods used in existing foreign research results cannot adapt to the basic situation of online medical treatment in my country, cannot reflect the differences in residents' actual needs for online medical treatment, and it is difficult to obtain calculation data sources. It is necessary to propose an optimized calculation method that is targeted, widely applicable, meets the needs of domestic online medical treatment, and has easily accessible data sources.

[0032] Since the existing solutions only focus on the accessibility assessment of physical facilities, lack consideration of residents' online medical behavior, lack a systematic and easy-to-calculate online facility accessibility measurement calculation method, and lack a method to improve the accuracy of facility site selection after online intervention, the present invention, based on the traditional two-step mobile search method for calculating the accessibility of offline facilities, proposes a virtual two-step mobile search method based on improved online medical data, which can measure the configuration of online medical services, fully reflect the online medical selection behavior and demand, and further provide a reference for the optimal configuration of comprehensive online and offline medical facility resources, and promote a more balanced and fairer distribution of social medical resources.

[0033] To this end, an embodiment of the present invention provides an improved virtual two-step mobile search method based on online medical data, including: obtaining first online medical data and a first offline address for each supply point among multiple supply points, and second online medical data and a second offline address for each demand point among multiple demand points, wherein the supply points include hospitals, and the demand points are determined based on population distribution; determining a supply and demand cost matrix based on the first offline address and the second offline address, wherein each matrix value in the supply and demand cost matrix represents the time cost from the demand point to the supply point; determining at least one connected route within the search threshold range based on the supply and demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point; based on the virtual two-step mobile search algorithm, determining a comprehensive reachable result for each candidate demand point based on the first online medical data of the candidate supply point and the second online medical data of the candidate demand point; and determining the hospital address based on the comprehensive reachable result for each candidate demand point.

[0034] Figure 1 The exemplary system architecture of the virtual two-step mobile search method and device based on online medical data improvement of the present invention is shown. It should be noted that: Figure 1 The examples shown are merely examples of system architectures to which the embodiments of the present invention may be applied, to help those skilled in the art understand the technical content of the present invention, but do not mean that the embodiments of the present invention may not be used in other devices, systems, environments or scenarios.

[0035] like Figure 1 As shown, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 is used to provide a medium for a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0036] The user may use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social platform software, etc. (only for example).

[0037] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0038] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0039] It should be noted that the virtual two-step mobile search method based on the online medical data improvement provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the virtual two-step mobile search device based on the online medical data improvement provided in the embodiment of the present invention can generally be set in the server 105. The virtual two-step mobile search method based on the online medical data improvement provided in the embodiment of the present invention can also be executed by the first terminal device 101, the second terminal device 102, and the third terminal device 103, or can also be executed by other terminal devices different from the first terminal device 101, the second terminal device 102, and the third terminal device 103. Accordingly, the virtual two-step mobile search device based on the online medical data improvement provided in the embodiment of the present invention can also be set in the first terminal device 101, the second terminal device 102, and the third terminal device 103, or can be set in other terminal devices different from the first terminal device 101, the second terminal device 102, and the third terminal device 103.

[0040] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to the implementation requirements.

[0041] Figure 2 A flowchart of an improved virtual two-step mobile search method based on online medical treatment data according to an embodiment of the present invention is shown.

[0042] like Figure 2 As shown, the method 200 includes operations S210 to S250.

[0043] In operation S210, first online medical treatment data and a first offline address of each supply point in a plurality of supply points, and second online medical treatment data and a second offline address of each demand point in a plurality of demand points are obtained, wherein the supply points include hospitals and the demand points are determined based on population distribution.

[0044] According to an embodiment of the present invention, when selecting a site for medical facilities, each hospital can be used as a supply point, that is, a party that provides medical facilities. The demand side is a party that has a demand for medical facilities. Generally, places with dense populations, large residential populations, and large permanent populations can be used as demand points.

[0045] According to an embodiment of the present invention, the first-line medical data at the supply point includes the data of available medical resources, such as the number of doctors available for online consultation, etc.; the second-line medical data at the demand point may be data characterizing the medical behavior of the demander, such as the number of clicks and visits of person 1 to a certain department of a certain hospital, etc.

[0046] In a specific embodiment, the first online medical treatment data includes the number of online consulting doctors, the number of online service departments and the number of online registered doctors. In addition, the first online data may also include the number of online good reviews of each hospital. The second online medical treatment data includes the number of online medical treatment and the number of online visits.

[0047] The first offline address can be the geographical address of the hospital. For example, the longitude and latitude coordinate data of each hospital is processed into a shapefile file as the first offline address. In one embodiment, the data link tool of the geographic information system can be used to link the number of online good reviews of the hospital, the number of online consulting doctors a1, the number of online service departments a2, and the number of online registered doctors a3 to the first offline address, that is, the hospital shapefile file, according to the hospital name. Among them, the number of online consulting doctors a1, the number of online service departments a2, and the number of online registered doctors a3 can also be used as the supply capacity data of each supply point.

[0048] The second offline address can be obtained by obtaining shapefile data including street boundaries and points in the geographic system of the invention and importing it into the geographic information system. After that, the center of the street is used as the second offline address of the demand point.

[0049] In operation S220, a supply-demand cost matrix is ​​determined according to the first offline address and the second offline address, wherein each matrix value in the supply-demand cost matrix represents a time cost from a demand point to a supply point.

[0050] According to an embodiment of the present invention, the first offline address of the supply point can be used as the destination, and the second offline address of the demand point can be used as the starting point. The travel time of the shortest path from the first offline address to the second offline address is calculated and used as the matrix value in the supply and demand cost matrix.

[0051] For example, the rows of the supply and demand cost matrix can be the first offline address of the supply point, and the columns can be the second offline address of the demand point. The matrix value of the kth row and jth column in the supply and demand cost matrix is ​​the travel time from the kth supply point to the jth demand point, that is, the time cost d kj .

[0052] In one embodiment, a programming program can be used to call the route planning interface opened by the map software, and the route planning interface can be used to simulate the real traffic conditions to obtain a detailed and real-time travel time. Specifically, multiple supply points and multiple demand points can be used as inputs of the route planning interface to establish a supply and demand cost matrix, which is also the Oobjection-Destination supply and demand cost matrix, referred to as the OD supply and demand cost matrix.

[0053] The OD supply and demand cost matrix is ​​a matrix that contains the time cost d from each origin to each destination. kj The present invention uses time units instead of distance units as the matrix value of the OD supply and demand cost matrix, which can more accurately reflect the actual traffic travel capacity of a certain area.

[0054] In operation S230, at least one connected route within a search threshold range is determined according to the supply-demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point.

[0055] According to an embodiment of the present invention, the path from the kth supply point to the jth demand point in the supply and demand cost matrix can be used as a connecting line. The search threshold is used to limit the cost between the kth supply point and the jth demand point. In an embodiment of the present invention, the supply and demand cost matrix uses time cost instead of distance cost, so the search threshold is also the medical distance limit in the time dimension.

[0056] Since online medical treatment is a supplement to offline medical treatment and cannot completely replace traditional face-to-face medical treatment, most people usually need to go to the hospital for face-to-face consultation or follow-up after using online medical services (such as consultation and registration services). Therefore, although online medical treatment breaks through geographical limitations, it is still necessary to screen out the long-distance connection routes in the supply and demand cost matrix based on the actual transportation capacity of the research area.

[0057] Therefore, before determining the comprehensive achievable result, it is necessary to screen the data pairs consisting of the demand point and supply point in the supply and demand cost matrix, that is, the connected paths, so as to obtain at least one connected path, and the supply point and demand point on the connected path are candidate supply points and candidate demand points respectively.

[0058] In operation S240, based on a virtual two-step moving search algorithm, a comprehensive reachable result for each candidate demand point is determined according to the first online medical treatment data of the candidate supply point and the second online medical treatment data of the candidate demand point.

[0059] According to an embodiment of the present invention, after preliminary screening is performed based on the actual offline addresses to obtain candidate supply points and candidate demand points, the corresponding first online medical data and second online medical data can be integrated to determine the comprehensive reachable results of each candidate demand point from the demand side.

[0060] In operation S250, the hospital address is determined according to the comprehensive reachability result of each candidate demand point.

[0061] According to an embodiment of the present invention, the comprehensive reachability result may be a numerical value used to reflect the user's online medical needs. Generally, the greater the comprehensive reachability, the greater the demand for medical facilities by users at and around the candidate demand point, and the hospital address may be determined at and around the candidate demand point to improve the utilization efficiency of medical resources.

[0062] The embodiments of the present invention make comprehensive use of online and offline medical data, and perform site selection based on a virtual two-step mobile search algorithm, thereby optimizing the site selection accuracy. Specifically, the present invention makes up for the limitation that the traditional two-step mobile search method only focuses on the accessibility of offline physical facilities by introducing a systematic consideration of the accessibility of online medical treatment. Therefore, the virtual two-step mobile search method based on the improvement of online medical data proposed in the present invention can reflect the actual medical needs. On the one hand, it supplements the lack of accuracy of the traditional medical resource accessibility measurement. On the other hand, it can improve the dynamics, effectiveness and fairness of medical resource allocation, help optimize the reasonable layout and configuration efficiency of medical resources, and thus improve the site selection accuracy.

[0063] In addition, the present invention can also solve the problems of difficulty in data acquisition and poor applicability in existing solutions, simplify the data collection process, reduce the implementation cost and acquisition threshold, and can be widely used in hospital site selection in different regions. Incorporating residents' online medical data (such as evaluation) into the measurement system can better meet the specific needs of different groups of people and help improve the quality of medical services and residents' satisfaction with medical treatment.

[0064] According to an embodiment of the present invention, the method further comprises: determining a search threshold value according to a matrix value in the supply and demand cost matrix.

[0065] In this embodiment, the maximum tolerable time for a medical trip may be used as a search threshold.

[0066] Specifically, the path planning interface can be used to first obtain trajectory data with the demand point and supply point as the starting point and destination respectively. Taking into account the geographical factors around the destination and the behavioral characteristics of medical treatment, a virtual geographical boundary is divided with the hospital as the center, so that the trajectory data that enters the geographical boundary and stays for more than the preset time is regarded as the medical behavior trajectory. For example, a geographical boundary of 200 meters around the hospital is defined, and trajectory data that stays for more than 10 minutes and does not exceed 8 hours is regarded as the medical behavior trajectory, and it is marked as medical behavior data.

[0067] Secondly, for each trajectory data marked as a medical treatment behavior trajectory, calculate the travel time from the starting point to the destination. Sum up all travel times and calculate the mean and standard deviation. Calculate the 95% percentile of the standard normal distribution of travel time as the maximum tolerance time Tmax, which is also the search threshold.

[0068] According to an embodiment of the present invention, for the above-mentioned operation S240, based on a virtual two-step mobile search algorithm, the reachability result of each candidate demand point is determined according to the first online medical data of the candidate supply point and the second online medical data of the candidate demand point, including: determining the improved strength function of the connected route to which the candidate demand point belongs according to the online visit volume of the candidate demand point and the online evaluation data of the candidate supply point; determining the supply-demand ratio for each candidate supply point according to the improved strength function, the number of online medical visits and the first online medical data; determining the online reachable result for each candidate demand point according to the improved strength function and the supply-demand ratio; and determining the comprehensive reachable result for each candidate demand point according to the online reachable result.

[0069] In the embodiment of the present invention, for the number of online medical consultations and online visits in the second online medical consultation data, the number of online medical consultations and online visits of each hospital (supply point) are first counted; then, taking the street as the basic unit, the number of online medical consultations and online visits of at least one hospital located near the street are averaged, and the number of online medical consultations and online visits of each demand point are obtained.

[0070] According to an embodiment of the present invention, a virtual two-step mobile search method (2SVCA) calculates the supply-demand ratio from the supply side and then calculates the reachability result from the demand side.

[0071] On the supply side, before calculating the supply-demand ratio of candidate supply points within the search threshold range, considering the actual offline search threshold limit and the virtual "distance" limit online, the improved intensity function of the connected route is first calculated based on the online visit volume and the online evaluation data of the candidate supply points. Then, the supply-demand ratio of each candidate supply point is calculated using the improved intensity function, the number of online medical visits, and the first online medical visit data of each candidate supply point.

[0072] On the demand side, the above-mentioned improved intensity function and the supply-demand ratio of each candidate supply point are used to calculate the corresponding online reachable result for each candidate demand point.

[0073] For example, when the second online data includes multiple types of data, the supply-demand ratio of each type of data can be calculated, and based on this, the online reachable results of each candidate demand point and each type of data can be calculated. Finally, the online reachable results of multiple types of data are integrated to obtain the comprehensive reachable results of each candidate demand point.

[0074] In one embodiment, the online evaluation data of the candidate supply point may be the number of favorable reviews of the hospital.

[0075] In one embodiment, the following method can be adopted to determine the improvement intensity function of the connected route to which the candidate demand point belongs based on the online visit volume of the candidate demand point and the online evaluation data of the candidate supply point: determine the number of patients visiting the candidate demand point based on the online visit volume and the visit conversion rate of the candidate supply point in the same connected route as the candidate demand point; determine the attenuation function of the candidate demand point based on the hospital grade of the candidate demand point; and determine the improvement intensity function based on the number of patients, online visit volume, online evaluation data of the candidate supply point and the attenuation function.

[0076] The product of the online visit volume and the visit conversion rate of the candidate supply point can be used as the number of patients. For example, for the jth supply point, when the jth supply point is used as a candidate supply point, P k is the conversion rate of online visits into medical visits, n k is the online visit volume of candidate demand point k, and the number of patients visiting the candidate demand point is P k •n k .

[0077] Hospital level l of candidate demand point j It can be understood as the attenuation function of the candidate points at the hospital level, such as a tertiary hospital. Used to reflect the attenuation effect of hospital grade on supply and demand.

[0078] The decay function is: ,in, is the hospital grade effect adjustment parameter, >0.

[0079] For this attenuation function, it is understandable that for high-level hospitals, their online supply capacity and demand attractiveness are enhanced, but due to the limitation of medical resources, they will tend to be saturated to a certain extent, and the impact on supply and demand will gradually decay.

[0080] The improved intensity function can be found in the following formula (1):

[0081] (1)

[0082] in, The improved strength function that characterizes the connection path between candidate supply point j and candidate demand point k, and are the supply side weight and the demand side weight respectively, max() is the maximum value function, n j is the number of favorable reviews of the candidate supply point, and other parameters are the same as above.

[0083] For example, suppose there are three hospitals A, B, and C as candidate supply points, and two candidate demand points X and Y. The number of good reviews of the hospitals is n. a =150, n b =120, n c =180, then max(n j )=180, the number of visits to the two candidate demand points n x =3000, n y =2000. The conversion rate of medical consultation is P k = 0.05, the area (candidate demand point) X with 3,000 visits eventually has 150 patients, and the area (candidate demand point) Y with 2,000 visits eventually has 100 patients. Then, max(n k •P k )=150.

[0084] For hospital A, the supply-side weight w s =0.6, demand side weight w d =0.4, hospital level l a =3, is 2, then the improved strength function value is (0.6•150 / 180+0.4•150 / 150)•3 2 / (1+3 2 )=0.81.

[0085] The embodiment of the present invention improves 2SVCA on the basis of utilizing online medical treatment data (first online data and second online data), introduces an improved strength function using online visits and the number of favorable comments, and improves the algorithm of 2SVCA. This function replaces the distance decay function of the traditional improved two-step mobile search method, so that only hospitals with a certain online service supply capacity and demand points with online medical treatment needs participate in the sum calculation, thereby improving the site selection accuracy.

[0086] According to an embodiment of the present invention, the first online medical treatment data includes three types of data, such as the number of online consulting doctors, the number of online service departments, and the number of online registered doctors. The supply-demand ratio includes a first demand ratio, a second demand ratio, and a third demand ratio corresponding to the number of online consulting doctors, the number of online service departments, and the number of online registered doctors, respectively. Therefore, according to the improved intensity function, the number of online medical treatment and the first online medical treatment data, the supply-demand ratio for each candidate supply point is determined, including: according to the improved intensity function and the number of online medical treatment, the median value of each connected route is determined; according to the median value of each connected route and the number of online consulting doctors, the first demand ratio is determined; according to the median value of each connected route and the number of online service departments, the second demand ratio is determined; according to the median value of each connected route and the number of online registered doctors, the third demand ratio is determined.

[0087] The median value of each connected line can be calculated according to the following formula (2):

[0088] (2);

[0089] in, Among the m candidate demand points, the time cost d kj The number of online medical treatment at the kth demand point within the search threshold d0, To improve the strength function.

[0090] First demand ratio , Second Demand Ratio Ratio to the third demand The calculation of is shown in formulas (3) to (5):

[0091] (3)

[0092] (4)

[0093] (5)

[0094] in, , and The supply capacity represented by the number of online consulting doctors, the number of online service departments and the number of online registered doctors corresponding to the candidate supply point j can be obtained by the number of online consulting doctors, the number of online service departments and the number of online registered doctors.

[0095] According to an embodiment of the present invention, an online reachable result for each candidate demand point is determined based on an improved intensity function and a supply-demand ratio, including: determining a first online reachable result for each candidate demand point based on the product of an improved intensity function and a first demand ratio; determining a second online reachable result for each candidate demand point based on the product of an improved intensity function and a second demand ratio; determining a third online reachable result for each candidate demand point based on the product of an improved intensity function and a third demand ratio.

[0096] Specifically, for the number of online consulting doctors, the number of online service departments, and the number of online registered doctors, the first online reachable result for each candidate demand point can be determined based on the product of the above first demand ratio and the number of online consulting doctors, the second online reachable result for each candidate demand point can be determined based on the product of the above second demand ratio and the number of online service departments, and the third online reachable result for each candidate demand point can be determined based on the product of the above third demand ratio and the number of online service departments. The first online reachable result, the second online reachable result, and the third online reachable result can be understood as the sum of all online medical resources available for each candidate demand point within the threshold range from the demand side for the above three types of data.

[0097] The calculation of the first online reachable result, the second online reachable result and the third online reachable result is as follows:

[0098] (6)

[0099] (7)

[0100] (8)

[0101] Among them, VA i1 , VA i2 , VA i3 are the first online reachable result, the second online reachable result and the third online reachable result for any candidate demand point i among the m candidate demand points, respectively. Other parameters are as explained in formulas (3) to (5) above.

[0102] It should be noted that in order to distinguish the online reachable results calculated for each candidate demand point from the candidate demand points used when screening and calculating the improved intensity function based on the search threshold, the candidate demand points of the calculated online reachable results are referred to as i here.

[0103] According to an embodiment of the present invention, a comprehensive reachable result of each candidate demand point is determined based on the online reachable results, including: normalizing the first online reachable result, the second online reachable result and the third online reachable result of each candidate demand point respectively to obtain a fourth online reachable result, a fifth online reachable result and a sixth online reachable result; determining a comprehensive reachable result based on the fourth online reachable result, the fifth online reachable result and the sixth online reachable result and their respective weights.

[0104] In one embodiment, the normalization formula may refer to the following formula (9):

[0105] (9)

[0106] in, is the normalized online reachable result, that is , , They are the fourth online reachable result, the fifth online reachable result and the sixth online reachable result respectively, min() and max() are the minimum function and the maximum function respectively, which represent the minimum and maximum values ​​among the first online reachable result, the second online reachable result and the third online reachable result respectively.

[0107] The calculation process of the comprehensive achievable result is shown in the following formula (10):

[0108] (10)

[0109] Among them, w1, w2 and w3 are the weights of the fourth online reachable result, the fifth online reachable result and the sixth online reachable result respectively.

[0110] According to an embodiment of the present invention, the entropy weight method may be used to determine the weights of the fourth online reachable result, the fifth online reachable result, and the sixth online reachable result.

[0111] Specifically, using the entropy weight method to determine the weights of the fourth online reachable result, the fifth online reachable result, and the sixth online reachable result may include the following five steps:

[0112] Step 1: Construct a judgment matrix. Construct a judgment matrix containing three types of data for all demand points. ,in Represents the specific value of the i-th demand point under the n-th online reachable result, n=1, 2, 3.

[0113] Step 2: Data normalization. Use a normalization formula similar to formula (9) to normalize the data in the judgment matrix and obtain the normalized matrix .

[0114] Step 3: Calculate the entropy value. For the matrix , use formula (11) and (12) to calculate the information entropy of each data.

[0115] (11)

[0116] (12)

[0117] in, is the information entropy, r is the number of demand points, is the relative proportion of each demand point i under a certain data n, It is the specific data after normalization.

[0118] Step 4: Calculate the entropy weight. Calculate the entropy weight of each data according to the information entropy obtained in step 3 to indicate the importance of the data. The formula is expressed as (13).

[0119] (13)

[0120] in, is the entropy weight, It is information entropy.

[0121] Step 5: Normalize the entropy weight to obtain the final weight, which is expressed as (14).

[0122] (14)

[0123] in, are the respective weights of the fourth online reachable result, the fifth online reachable result, and the sixth online reachable result.

[0124] Figure 3 A schematic diagram of an improved virtual two-step mobile search method based on online medical treatment data according to a specific embodiment of the present invention is shown.

[0125] like Figure 3 As shown in the figure, the data of the supply point and the demand point are obtained through the operation of obtaining data. The data of the supply point includes: the number of online positive reviews, the number of online consultation doctors a1, the number of online service departments a2, the number of online registered doctors a3 and the hospital location (i.e. the first offline address); the data of the demand point includes: the street point (i.e. the second offline address), the number of online medical treatment in each hospital, and the number of online visits to each hospital.

[0126] Based on the path planning interface, the shortest path planning is performed to obtain the OD supply and demand cost matrix, and the search threshold is determined by the OD supply and demand cost matrix. In addition, the improved enhancement function can be determined based on the data of the supply point and the data of the demand point. After that, a virtual two-step mobile search can be performed with the help of the improved enhancement function, the search threshold and the OD supply and demand cost matrix to obtain the first online reachable result, the second online reachable result and the third online reachable result for the number of online consultation doctors a1, the number of online service departments a2 and the number of online registered doctors a3.

[0127] After normalizing the first online reachable result, the second online reachable result and the third online reachable result to obtain the fourth online reachable result, the fifth online reachable result and the sixth online reachable result, the entropy weight method can be used to determine the weights of the fourth online reachable result, the fifth online reachable result and the sixth online reachable result. Finally, the fourth online reachable result, the fifth online reachable result and the sixth online reachable result and their respective weights are combined to obtain a comprehensive reachable result.

[0128] According to an embodiment of the present invention, when the comprehensive achievable result is determined, the comprehensive achievable result can be visualized to obtain a hospital site selection with a better allocation of medical resources.

[0129] According to an embodiment of the present invention, the hospital address is determined based on the comprehensive reachability result of each candidate demand point, including: visualizing the comprehensive reachability result of each candidate demand point to obtain a site selection reference map, wherein the site selection reference map represents multiple data segments by multiple colors, and the comprehensive reachability result is in the data segment; and determining the hospital address based on the color characteristics of the site selection reference map.

[0130] Specifically, the natural breakpoint method can be used to segment the entire data interval where the comprehensive reachable result is located, and a location reference map of the comprehensive reachable result can be established based on the segmentation. For example, red means that the comprehensive reachable result is good; orange means that the comprehensive reachable result is relatively good; yellow means that the comprehensive reachable result is average; green means that the comprehensive reachable result is relatively poor; blue means that the comprehensive reachable result is poor or there is no online supply.

[0131] Figure 4 A block diagram of a virtual two-step mobile search device based on online medical treatment data improvement according to an embodiment of the present invention is shown. The virtual two-step mobile search device based on online medical treatment data improvement 400 includes: an acquisition module 410, a first determination module 420, a second determination module 430, a third determination module 440, and a fourth determination module 450.

[0132] The acquisition module 410 is used to obtain the first online medical data and the first offline address of each supply point in multiple supply points, and the second online medical data and the second offline address of each demand point in multiple demand points, wherein the supply points include hospitals and the demand points are determined based on population distribution.

[0133] The first determination module 420 is used to determine a supply-demand cost matrix according to the first offline address and the second offline address, wherein each matrix value in the supply-demand cost matrix represents a time cost from a demand point to a supply point.

[0134] The second determination module 430 is used to determine at least one connected route within the search threshold range according to the supply and demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point.

[0135] The third determination module 440 is used to determine the comprehensive reachable result of each candidate demand point based on the virtual two-step moving search algorithm according to the first online medical treatment data of the candidate supply point and the second online medical treatment data of the candidate demand point.

[0136] The fourth determination module 450 is used to determine the hospital address according to the comprehensive reachability result of each candidate demand point.

[0137] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a proper combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be executed.

[0138] For example, any of the acquisition module 410, the first determination module 420, the second determination module 430, the third determination module 440, and the fourth determination module 450 can be combined in one module / unit / sub-unit for implementation, or any of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present invention, at least one of the acquisition module 410, the first determination module 420, the second determination module 430, the third determination module 440, and the fourth determination module 450 can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or by any one of the three implementation methods of software, hardware, and firmware, or by a suitable combination of any of them. Alternatively, at least one of the acquisition module 410, the first determination module 420, the second determination module 430, the third determination module 440, and the fourth determination module 450 may be at least partially implemented as a computer program module, which may perform corresponding functions when executed.

[0139] It should be noted that the method part in the embodiments of the present invention corresponds to the device part in the embodiments of the present invention, and the description of the method part specifically refers to the device part, which will not be repeated here.

[0140] Figure 5 A block diagram of an electronic device 500 suitable for implementing an improved virtual two-step mobile search method based on online medical treatment data according to an embodiment of the present invention is shown. Figure 5 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0141] like Figure 5As shown, the electronic device 500 according to an embodiment of the present invention includes a processor 501, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 502 or the program loaded from the storage part 508 to the random access memory (RAM) 503. The processor 501 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 501 may also include an onboard memory for caching purposes. The processor 501 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0142] In RAM 503, various programs and data required for the operation of electronic device 500 are stored. Processor 501, ROM 502 and RAM 503 are connected to each other via bus 504. Processor 501 performs various operations of the method flow according to the embodiment of the present invention by executing the program in ROM 502 and / or RAM 503. It should be noted that the program can also be stored in one or more memories other than ROM 502 and RAM 503. Processor 501 can also perform various operations of the method flow according to the embodiment of the present invention by executing the program stored in the one or more memories.

[0143] According to an embodiment of the present invention, the electronic device 500 may further include an input / output (I / O) interface 505, which is also connected to the bus 504. The electronic device 500 may further include one or more of the following components connected to the input / output (I / O) interface 505: an input portion 506 including a keyboard, a mouse, etc.; an output portion 507 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 508 including a hard disk, etc.; and a communication portion 509 including a network interface card such as a LAN card, a modem, etc. The communication portion 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to the input / output (I / O) interface 505 as needed. A removable medium 511, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 510 as needed, so that the computer program read therefrom is installed into the storage portion 508 as needed.

[0144] According to an embodiment of the present invention, the method flow according to an embodiment of the present invention can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 509, and / or installed from the removable medium 511. When the computer program is executed by the processor 501, the above-mentioned functions defined in the system of the embodiment of the present invention are executed. According to an embodiment of the present invention, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0145] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0146] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device.

[0147] For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 502 and / or the RAM 503 described above and / or one or more memories other than the ROM 502 and the RAM 503 .

[0148] An embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method provided by the embodiment of the present invention. When the computer program product runs on an electronic device, the program code is used to enable the electronic device to implement the method provided by the embodiment of the present invention.

[0149] When the computer program is executed by the processor 501, the above functions defined in the system / device of the embodiment of the present invention are executed. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0150] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 509, and / or installed from the removable medium 511. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0151] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0152] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways, even if such a combination or combination is not explicitly recorded in the present invention. In particular, without departing from the spirit and teachings of the present invention, the features recorded in the various embodiments of the present invention can be combined and / or combined in various ways. All these combinations and / or combinations fall within the scope of the present invention.

[0153] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A virtual two-step mobile search method based on online medical data, characterized in that: The method comprises: Obtaining first online medical treatment data and a first offline address of each of the multiple supply points, and second online medical treatment data and a second offline address of each of the multiple demand points, wherein the supply points include hospitals, and the demand points are determined based on population distribution; the first online medical treatment data includes the number of online consulting doctors, the number of online service departments, and the number of online registered doctors; Determine a supply and demand cost matrix according to the first offline address and the second offline address, wherein each matrix value in the supply and demand cost matrix represents a time cost from the demand point to the supply point; Determine at least one connected route within a search threshold range according to the supply and demand cost matrix, wherein the connected route includes a candidate supply point and a candidate demand point; Based on a virtual two-step moving search algorithm, determining a comprehensive reachable result for each of the candidate demand points according to the first online medical treatment data of the candidate supply point and the second online medical treatment data of the candidate demand point; and Determine the hospital address according to the comprehensive reachability results of each candidate demand point; The second online medical treatment data includes the number of online medical treatment and the number of online visits; The virtual two-step moving search algorithm is based on the first online medical treatment data of the candidate supply point and the second online medical treatment data of the candidate demand point, and determines the reachability result of each candidate demand point, including: Determine, according to the online visit volume of the candidate demand point and the online evaluation data of the candidate supply point, an improved strength function of the connected route to which the candidate demand point belongs; Determining a supply-demand ratio for each of the candidate supply points according to the improved intensity function, the number of online medical consultations, and the first online medical consultation data; Determining an online reachable result for each of the candidate demand points according to the improved intensity function and the supply-demand ratio; and Determine the comprehensive reachability result of each candidate demand point according to the online reachability result; The step of determining the improved strength function of the connected route to which the candidate demand point belongs based on the online visit volume of the candidate demand point and the online evaluation data of the candidate supply point includes: Determine the number of patients visiting the candidate demand point according to the online visit volume and the visit conversion rate of the candidate supply point in the same connected route as the candidate demand point; Determining an attenuation function of the candidate demand point according to the hospital grade of the candidate demand point; and The improved intensity function is determined according to the number of patients, the online visit volume, the online evaluation data of the candidate supply point and the attenuation function. The improved intensity function is shown in the following formula: in, The improved strength function that characterizes the connection path between candidate supply point j and candidate demand point k, and are the supply side weight and the demand side weight respectively, max() is the maximum value function, n j is the number of favorable comments of the candidate supply point, represents the decay function, P k is the conversion rate of online visits into medical visits, n k is the online visit volume of candidate demand point k.

2. The method according to claim 1, characterized in that The supply-demand ratio includes a first demand ratio, a second demand ratio, and a third demand ratio corresponding to the number of online consultation doctors, the number of online service departments, and the number of online registration doctors, respectively; Determining the supply-demand ratio for each candidate supply point according to the improved intensity function, the number of online medical consultations and the first online medical consultation data includes: Determining the middle value of each of the connected routes according to the improved intensity function and the number of online medical consultations; Determining the first demand ratio according to the median value of each of the connected lines and the number of online consulting doctors; Determining the second demand ratio according to the median value of each of the connected lines and the number of online service departments; The third demand ratio is determined according to the median value of each of the connecting lines and the number of online registered doctors.

3. The method according to claim 2, characterized in that The online accessible results include a first online accessible result, a second online accessible result and a third online accessible result corresponding to the number of online consulting doctors, the number of online service departments and the number of online registered doctors, respectively; Determining the comprehensive reachability result of each candidate demand point according to the online reachability result includes: Normalizing the first online reachable result, the second online reachable result, and the third online reachable result of each candidate demand point respectively to obtain a fourth online reachable result, a fifth online reachable result, and a sixth online reachable result; The comprehensive reachable result is determined according to the fourth online reachable result, the fifth online reachable result and the sixth online reachable result and their respective weights.

4. The method according to claim 3, characterized in that Determining an online reachable result for each candidate demand point according to the improved intensity function and the supply-demand ratio includes: Determine the first online reachable result of each of the candidate demand points according to the product of the improved intensity function and the first demand ratio; Determine the second online reachable result of each of the candidate demand points according to the product of the improved intensity function and the second demand ratio; The third online reachable result of each of the candidate demand points is determined according to the product of the improved intensity function and the third demand ratio.

5. The method according to claim 3, characterized in that: The method further comprises: The entropy weight method is used to determine the weights of the fourth online reachable result, the fifth online reachable result, and the sixth online reachable result.

6. The method according to claim 1, characterized in that The method further comprises: The search threshold is determined according to the matrix value in the supply and demand cost matrix.

7. The method according to claim 1, characterized in that Determining the hospital address according to the comprehensive reachability result of each candidate demand point includes: Visualizing the comprehensive reachability result of each candidate demand point to obtain a site selection reference map, wherein the site selection reference map represents multiple data segments by multiple colors, and the comprehensive reachability result is in the data segment; and The hospital address is determined according to the color characteristics of the site selection reference map.

8. An electronic device, comprising: one or more processors; a memory for storing one or more programs, It is characterized in that when the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 7.

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