Elderly medical reachability assessment method based on buffer area analysis, terminal and medium

Abstract

The invention relates to the technical field of geographic information analysis, and discloses an old people medical reachability evaluation method based on buffer area analysis, a terminal and a medium. The method comprises the following steps: acquiring geographic coordinates and scale grades of hospitals in a target city, and setting service radiuses of the hospitals according to the scale grades; obtaining the size distribution information of the elderly population in the target city to calculate the average density of the elderly population in the target city and the density of the elderly population of each resident committee in the target city; according to the geographical coordinates and service radiuses of the hospitals, hierarchical buffer areas are constructed for the hospitals, and the intersection area of each residential committee and each hierarchical buffer area is analyzed; calculating a service capability index of each residential committee by using a formula; and performing accessibility evaluation on the residential committee according to the service capability index of the residential committee and a preset grading standard. According to the method, the multi-level differentiated hospital service radius is constructed, resident committee-level elderly population calculation is refined, and the accuracy of medical resource accessibility evaluation is improved through spatial coupling analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of geographic information analysis, and specifically to an elderly medical accessibility evaluation method, terminal and medium based on buffer analysis. Background Art

[0002] Accessibility refers to the convenience degree for a specific population to obtain a certain service or resource within a certain spatial range. In the field of medical resource allocation, the accessibility of medical services is affected by various factors, including population distribution, hospital grade, and traffic conditions, etc. A reasonable layout of medical resources needs to combine the service capabilities of different levels of hospitals to accurately evaluate the actual medical accessibility of specific groups. However, due to factors such as population mobility and urban structure complexity, there are still many challenges in accurately depicting the spatial coverage of medical resources.

[0003] Currently, there are still certain limitations in the analysis methods of medical resource accessibility. Existing research usually based on large-scale demographic data, such as street-level or district-level data, is difficult to refine to smaller spatial units, thus unable to accurately reflect the spatial distribution characteristics of the elderly population. In addition, when analyzing the service scope of hospitals, existing models often fail to fully consider the differences in service capabilities of different grade hospitals, making it difficult for the evaluation results to accurately depict the radiation scope of various hospitals. Moreover, there is still room for improvement in data integration and spatial analysis methods. Existing methods have certain limitations in dynamic data processing and visualization presentation, making it difficult to intuitively present the matching relationship between medical resources and the needs of the elderly population. These factors make it difficult for existing medical resource accessibility analysis to comprehensively and accurately reflect the actual situation, affecting the rational allocation of medical resources. Summary of the Invention

[0004] To solve the technical problems existing in the prior art, the present invention provides an elderly medical accessibility evaluation method, terminal and medium based on buffer analysis. The present invention constructs a multi-level differentiated hospital service radius, refines the calculation of the elderly population at the neighborhood committee level, and improves the accuracy of medical resource accessibility evaluation through spatial coupling analysis.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The present invention discloses an elderly medical accessibility evaluation method based on buffer analysis, including:

[0007] S1. Obtain the geographical coordinates and scale levels of hospitals in the target city, and set the service radius of each hospital according to the scale level;

[0008] S2. Obtain the distribution information of the elderly population scale within the target city to calculate the average density of the elderly population within the target city and the elderly population density of each neighborhood committee within the target city;

[0009] S3. Construct hierarchical buffers for the hospitals based on their geographical coordinates and service radii, and analyze the intersection areas between each neighborhood committee and the buffers of each level;

[0010] S4. Use the following formula to calculate the service capacity index of each neighborhood committee within the target city:

[0011]

[0012] In the formula, n is the total number of neighborhood committees within the target city, i ∈ [1, n]; m is the total number of levels of hospitals, that is, buffers, k ∈ [1, m]; YL i is the service capacity index of neighborhood committee i; A i is the total area of neighborhood committee i; ρ i is the elderly population density of neighborhood committee i; M ki is the intersection area between neighborhood committee i and the buffer of the k-th level; ω k is the weight corresponding to level k; is the distance attenuation index factor of hospital service capacity, e is the natural constant, d ki is the straight-line distance from the center of neighborhood committee i to the hospital of the k-th level; is the attenuation coefficient of the k-th level hospital; b k is the standardized number of beds of the k-th level hospital, B k is the original number of beds of the k-th level hospital, μ B and σ B are the mean and standard deviation of the number of beds of all hospitals within the target city; is the average density of the elderly population in the target city;

[0013] S5. Conduct an accessibility evaluation of the neighborhood committees according to the service capacity index of the neighborhood committees and the preset classification criteria; among them, the service capacity index and accessibility are positively correlated.

[0014] As a further improvement of the above solution, in S1, the scale levels are set to three levels, corresponding to three service radii, namely 5000 meters, 2000 meters, and 500 meters respectively.

[0015] As a further improvement of the above solution, in S2, obtain the distribution information of the elderly population scale within the target city according to the previous population census data, and calculate the elderly population density of the neighborhood committee based on the elderly population scale and floor area of the neighborhood committee.

[0016] As a further improvement of the above solution, in S2, the administrative division vector data of each neighborhood committee is also obtained, and the geometric coordinates of the neighborhood committee are matched with the elderly population data by using Arcgis software, and a heat map is generated according to the Jenks natural break method, so as to realize the visualization of the spatial distribution of the elderly population in each neighborhood committee.

[0017] As a further improvement of the above solution, S3 specifically includes:

[0018] Determine the buffer radius according to the service radius, and import the buffer radius and geographical coordinate data of the hospital into Arcgis software to generate buffer polygons for hospitals of different levels;

[0019] Use the Intersect tool to obtain the intersection area of the neighborhood committee and the buffer, and superimpose and calculate the total coverage area of the buffers of the same level within each neighborhood committee.

[0020] As a further improvement of the above solution, in S5, by using the Jenks natural break method in Arcgis software, the service capacity indexes of all neighborhood committees are divided into 5 categories and filled with hierarchical colors to generate a service capacity distribution map to realize the visualization of medical accessibility.

[0021] The present invention also discloses a computer terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the method for evaluating the medical accessibility of the elderly based on buffer analysis as described above are implemented.

[0022] The present invention also discloses a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps of the method for evaluating the medical accessibility of the elderly based on buffer analysis as described above are implemented.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] The present invention breaks through the limitation of the traditional single service radius, constructs a three-level differentiated service radius system, can more accurately reflect the service scope of different-level hospitals in the city, and improves the accuracy of the evaluation of medical resource accessibility. Secondly, by calculating the scale of the elderly population at the neighborhood committee level, the present invention can more accurately depict the spatial distribution characteristics of the elderly population compared with the traditional data analysis based on streets or districts. In addition, the present invention couples the medical resource coverage area (buffer analysis) with the distribution of the elderly population in space, avoiding the one-sidedness of the traditional single-index evaluation, and making the layout and optimization of medical resources more scientific. At the same time, this method adopts efficient data integration and visualization technologies, making the analysis results of medical resource allocation more intuitive and providing a scientific basis for relevant decision-making. Description of the Drawings

[0025] Figure 1 This is the flowchart of the elderly medical accessibility evaluation method based on buffer analysis in Embodiment 1 of the present invention.

[0026] Figure 2 This is the data flow diagram of the elderly medical accessibility evaluation method based on buffer analysis in Embodiment 1 of the present invention.

[0027] Figure 3 This is the spatial distribution map of hospitals in a certain city in Embodiment 1 of the present invention.

[0028] Figure 4 This is the spatial distribution map of the geometric coordinates of neighborhood committees in a certain city in Embodiment 1 of the present invention.

[0029] Figure 5 This is the service capacity distribution map of a certain city in Embodiment 1 of the present invention.

[0030] Figure 6 This is the structural schematic diagram of the computer terminal in Embodiment 2 of the present invention. Detailed implementation manners

[0031] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0032] Embodiment 1

[0033] Please refer to Figure 1 and Figure 2 , this embodiment provides an elderly medical accessibility evaluation method based on buffer analysis, including steps S1 to S5.

[0034] S1. Obtain the geographical coordinates and scale levels of hospitals in the target city, and set the service radius of each hospital according to the scale level.

[0035] In this embodiment, step S1 may include the following specific steps, namely S11 to S13.

[0036] S11: Use the API interface of the Amap Open Platform to obtain the web page information of the hospital, and then obtain the POI information of the hospital through a python program;

[0037] S12: Please refer to Figure 3 , by querying websites such as the health and health department, obtain the number of beds in the hospital, so as to classify the hospitals into three levels: first level (tertiary hospitals), second level (general hospitals), and third level (community hospitals);

[0038] S13: Set their effective service radii in sequence according to the hospital grade. The service radii of the first-level, second-level, and third-level hospitals are 5000 meters, 2000 meters, and 500 meters respectively.

[0039] S2. Obtain the distribution information of the elderly population scale within the target city to calculate the average density of the elderly population within the target city and the density of the elderly population in each neighborhood committee within the target city.

[0040] In S2, obtain the distribution information of the elderly population scale within the target city according to the previous population census data, and calculate the density of the elderly population in the neighborhood committee based on the scale of the elderly population and the floor area of the neighborhood committee.

[0041] In addition, obtain the administrative division vector data of each neighborhood committee, match the geometric coordinates of the neighborhood committee with the elderly population data using Arcgis software, and generate a heat map according to the Jenks natural breakpoint method, so as to realize the visualization of the spatial distribution of the elderly population in each neighborhood committee.

[0042] Specifically, in this embodiment, step S2 may include the following specific steps, namely S21 to S24.

[0043] S21: Obtain the total number of elderly people at the district level according to the seventh national population census, and obtain the proportion of the elderly population in each sub-district through the sixth national population census. The total number of elderly people at the district level in the seventh census can be allocated to each sub-district. It should be noted that the proportion of the elderly population in each sub-district was not announced in the seventh census data, so the proportion of the elderly population in each sub-district in the sixth census is used. In some embodiments, it can also be directly obtained when it is announced

[0044] S22: Use a python crawler (under legal circumstances) to obtain the number of households and residential distributions in each neighborhood committee from the real estate platform, remove invalid data, and calculate the proportion of the number of households in each neighborhood committee in the sub-district where it is located.

[0045] S23: Construct the following spatial allocation model to calculate the scale of the elderly population at the neighborhood committee level:

[0046]

[0047] Where P is the elderly population, and h is the number of households; d, s, n, and r represent district level, sub-district level, neighborhood committee level, and community level respectively. P d is the total number of elderly people at the district level in the seventh census; P pre-s is the proportion of the elderly population in the sub-district in the sixth census; ∑ r∈n h r is the total number of households in all residential areas within the neighborhood committee; ∑ n∈s h nis the total number of households in the street where it is located.

[0048] S24: Please refer to Figure 4 , obtain the vector data of the administrative division of each neighborhood committee from the information published on the website of the relevant department of geographic information, match the geometric coordinates of the neighborhood committee with the elderly population data using Arcgis, and generate a heat map according to the Jenks natural breaks method (classification method) to visualize the spatial distribution of the elderly population in each neighborhood committee.

[0049] S3. Construct hierarchical buffers for the hospital based on the hospital's geographic coordinates and service radius, and analyze the intersection area between each neighborhood committee and each level of buffer.

[0050] S3 may include the following specific steps, namely S31 to S32.

[0051] S31. Determine the buffer radius according to the service radius, and import the buffer radius and geographic coordinate data of the hospital into the Arcgis software to generate buffer polygons for hospitals of different levels.

[0052] S32. Use the Intersect tool to obtain the intersection area between the neighborhood committee and the buffer, and calculate the total coverage area of all buffers within each neighborhood committee. If the service areas of multiple hospitals overlap within the same neighborhood committee, the overlapping part will be double-counted in the overlay analysis.

[0053] S4. Calculate the service capacity index of each neighborhood committee in the target city using the following formula:

[0054]

[0055] In the formula, n is the total number of neighborhood committees in the target city, i ∈ [1, n]; m is the total number of levels of hospitals, that is, buffers, k ∈ [1, m]; YL i is the service capacity index of neighborhood committee i; A i is the total area of neighborhood committee i; ρ i is the elderly population density of neighborhood committee i; M ki is the intersection area between neighborhood committee i and the k-th level buffer; ω k is the weight corresponding to level k; is the distance decay index factor of hospital service capacity, e is the natural constant, d ki is the straight-line distance from the center of neighborhood committee i to the k-th level hospital; is the attenuation coefficient of the k-th level hospital; b k is the number of beds of the k-th level hospital after standardization, B k is the original number of beds of the k-th level hospital, μ B and σ Bis the mean and standard deviation of the number of beds in all hospitals in the target city; is the average density of the elderly population in the target city.

[0056] The present invention considers comprehensive multi-factor evaluation, including hospital grade, number of beds, distance attenuation, etc., and accurately depicts the service scopes of different-grade hospitals.

[0057] S5. Conduct an accessibility evaluation of the neighborhood committees according to the service capacity index of the neighborhood committees and the preset grading standard; wherein, the service capacity index is positively correlated with the accessibility.

[0058] Please refer to Figure 5 , in S5, by means of the Arcgis visualization service capacity distribution map, the current service coverage status can be intuitively revealed; by using the Jenks natural break method in the Arcgis software, the service capacity indexes of all neighborhood committees are divided into 5 categories and filled with graded colors to generate the service capacity distribution map to realize the visualization of medical accessibility.

[0059] In some embodiments, the distribution results of the service capacity indexes of each neighborhood committee in the target city can be input into a pre-trained large language model in a specific field to generate an evaluation report on the medical accessibility of the elderly in this city and put forward optimization suggestions.

[0060] The evaluation method of the present invention can provide accurate data support for relevant departments to help formulate reasonable medical resource allocation decisions. Relevant departments can optimize the medical resource allocation plan according to the differences in medical accessibility in different regions, increase the support for areas with weak medical resources, thereby promoting the balanced development of medical resources and improving the level of elderly care services.

[0061] Embodiment 2

[0062] This embodiment provides a computer terminal, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the computer program, the steps of the method for evaluating the medical accessibility of the elderly based on buffer analysis as described in Embodiment 1 are implemented.

[0063] As Figure 6 shown, the computer terminal provided in this embodiment includes: at least one processor 101, and a memory 102 connected to at least one processor 101. In this embodiment, the specific connection medium between the processor 101 and the memory 102 is not limited. Figure 6 It is taken as an example that the processor 101 and the memory 102 are connected through a bus 100. The bus 100 is represented by a thick line in Figure 6 It is only for illustrative purposes and not to be taken as a limitation. The bus 100 can be divided into an address bus, a data bus, a control bus, etc. For the convenience of representation,Figure 6 It is only represented by a thick line, but it does not mean that there is only one bus or one type of bus. Alternatively, the processor 101 can also be referred to as a controller, and there is no restriction on the name.

[0064] In this embodiment, the memory 102 stores instructions that can be executed by at least one processor 101. By executing the instructions stored in the memory 102, the at least one processor 101 can execute the foregoing method.

[0065] Among them, the processor 101 is the control center of the device. It can connect various parts of the entire control device through various interfaces and lines. By running or executing the instructions stored in the memory 102 and calling the data stored in the memory 102, various functions of the device and process data, thereby monitoring the device as a whole.

[0066] In a possible design, the processor 101 may include one or more processing units. The processor 101 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above modem processor may not be integrated into the processor 101. In some embodiments, the processor 101 and the memory 102 can be implemented on the same chip. In some embodiments, they can also be implemented separately on independent chips.

[0067] The processor 101 can be a general-purpose processor, such as a central processing unit (CPU), a digital signal processor, an application-specific integrated circuit, a field-programmable gate array, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments. The general-purpose processor can be a microprocessor or any conventional processor, etc. The steps of the method for evaluating the medical accessibility of the elderly based on buffer analysis disclosed in conjunction with Embodiment 1 can be directly embodied as being completed by the execution of the hardware processor, or by the combination of the hardware and software modules in the processor 101.

[0068] The memory 102, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The memory 102 may include at least one type of storage medium, for example, it may include flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic memory, magnetic disk, optical disc, and so on. The memory 102 is any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 102 in this embodiment may also be a circuit or any other device capable of implementing a storage function, for storing program instructions and / or data.

[0069] By programming the design of the processor 101, the code corresponding to the security verification method introduced in the foregoing embodiments can be solidified into the chip, so that the chip can execute Figure 1 the steps of the elderly medical accessibility assessment method based on buffer analysis shown. How to program the design of the processor 101 is a well-known technology to those skilled in the art and will not be elaborated here.

[0070] Embodiment 3

[0071] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps of the elderly medical accessibility assessment method based on buffer analysis as described in Embodiment 1.

[0072] The computer-readable storage medium may include flash memory, a hard disk, a multimedia card, a card-type memory (such as an SD or DX memory, etc.), a random access memory (RAM), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the storage medium may be an internal storage unit of the computer device, such as the hard disk or memory of the computer device. In other embodiments, the storage medium may also be an external storage device of the computer device, such as a plug-in hard disk equipped on the computer device, a Smart Media Card (SMC), a Secure Digital (SD) card, a Flash Card, etc. Of course, the storage medium may also include both the internal storage unit and the external storage device of the computer device. In this embodiment, the memory is generally used to store the operating system installed on the computer device and various application software. In addition, the memory may also be used to temporarily store various data that have been output or are to be output.

[0073] As described above, only the preferred specific embodiments of the present invention are given, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent replacements or changes should be covered within the protection scope of the present invention.

Claims

1. A method for assessing the accessibility of medical care for the elderly based on buffer zone analysis, characterized in that: include: S1. Obtain the geographical coordinates and scale levels of hospitals in the target city, and set the service radius of each hospital according to the scale level; S2. Obtaining the distribution information of the elderly population size in the target city to calculate the average density of the elderly population in the target city and the density of the elderly population in each neighborhood committee in the target city; S3. Construct hierarchical buffer zones for hospitals based on their geographical coordinates and service radius, and analyze the intersection area between each neighborhood committee and each level of buffer zones; S4. Calculate the service capacity index of each neighborhood committee in the target city using the following formula: Where n is the total number of neighborhood committees in the target city, i∈[1,n]; m is the total number of hospital-buffer zones, k∈[1,m]; YL i is the service capacity index of neighborhood committee i; A i is the total area of ​​neighborhood committee i; i is the density of elderly population in neighborhood committee i; M ki is the intersection area of ​​neighborhood committee i and the k-th level buffer zone; ω k is the weight corresponding to level k; is the distance attenuation exponential factor of hospital service capacity, e is a natural constant, d ki is the straight-line distance from the center of neighborhood committee i to the k-th level hospital; is the attenuation coefficient of the k-th level hospital; b k is the number of standardized beds in the k-th level hospital, B k is the original number of beds in the k-th level hospital, μ B and σ B is the mean and standard deviation of the number of beds in all hospitals in the target city; is the average density of the elderly population in the target city; S5. Evaluate the accessibility of neighborhood committees based on their service capacity index and preset grading standards; among them, the service capacity index and accessibility are positively correlated.

2. The method for evaluating the medical accessibility of the elderly based on buffer zone analysis according to claim 1 is characterized in that: In S1, there are three scale levels, corresponding to three service radii, namely 5000 meters, 2000 meters and 500 meters.

3. The method for evaluating the medical accessibility of the elderly based on buffer zone analysis according to claim 1 is characterized in that: In S2, the size distribution information of the elderly population in the target city is obtained based on the data of previous population censuses, and the elderly population density of the neighborhood committee is calculated based on the size and area of ​​the elderly population of the neighborhood committee.

4. The method for evaluating the medical accessibility of the elderly based on buffer zone analysis according to claim 3 is characterized in that: In S2, the administrative division vector data of each neighborhood committee was also obtained, and the geometric coordinates of the neighborhood committee were matched with the elderly population data using ArcGIS software. A heat map was generated based on the Jenks natural breakpoint method, thereby visualizing the spatial distribution of the elderly population in each neighborhood committee.

5. The method for evaluating the medical accessibility of the elderly based on buffer zone analysis according to claim 4 is characterized in that: S3 specifically includes: Determine the buffer radius according to the service radius, and import the buffer radius and geographic coordinate data of the hospital into ArcGIS software to generate buffer polygons for hospitals of different levels; Use the Intersect tool to obtain the intersection area of ​​the neighborhood committee and the buffer zone, and superimpose and calculate the total coverage area of ​​the buffer zones of the same level in each neighborhood committee.

6. The method for evaluating the medical accessibility of the elderly based on buffer zone analysis according to claim 5 is characterized in that: In S5, by using the Jenks natural breakpoint method in ArcGIS software, the service capacity index of all neighborhood committees was divided into five categories and filled with graded colors to generate a service capacity distribution map to achieve visualization of medical accessibility.

7. A computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for assessing medical accessibility for the elderly based on buffer zone analysis are implemented as described in any one of claims 1 to 6.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by the processor, the steps of the method for evaluating medical accessibility of the elderly based on buffer zone analysis as described in any one of claims 1 to 6 are implemented.

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