A regional medical resource coordination management method and device and electronic equipment

Abstract

Embodiments of the present application provide a regional medical resource collaborative management method and device and electronic equipment. The regional medical resource collaborative management method comprises: obtaining medical resource related data of each node in a target region; the medical resource related data comprises medical resource data of different types; determining a medical resource supply and demand level of each node based on the medical resource related data of each node; calculating a medical resource collaboration strength value between each two nodes based on the medical resource supply and demand level of each node; determining a collaboration capability value of each node in the target region based on the medical resource collaboration strength value between each two nodes; and performing medical resource collaborative management on each node based on the collaboration capability value of each node in the target region. The embodiments of the present application realize collaborative management of regional medical resources.

Description

Technical Field

[0001] This invention relates to the field of regional sustainable development assessment technology, and in particular to a method, device and electronic equipment for collaborative management of regional medical resources. Background Technology

[0002] Medical resources are a crucial foundation for ensuring people's living standards and maintaining regional sustainable development. Ensuring the security of medical resources is not only related to the region's economic development momentum but also serves as a vital barrier against external attacks and a basis for supporting the operation of the medical system and providing emergency relief during risks. Against the backdrop of regional integration and increasing urbanization, the formation of highly integrated development areas such as urban agglomerations has greatly promoted the synergy of medical resources among cities, significantly impacting the regional medical resource security needed for sustainable development and disaster response. Improving regional resilience requires ensuring a more rational spatial distribution of medical resources and ensuring that their coordinated development is adapted to economic and population growth. Therefore, how to quickly and effectively assess the resilience of regional medical resource synergy under the influence of inter-city interactions, and how to conduct coordinated management of regional medical resources based on this assessment, has become an important research topic in the field of regional sustainable development.

[0003] In related technologies, the main method used for assessing medical resource security is the indicator system method coupled with multiple medical indicators. The implementation process of this method is as follows: for various medical-related indicator data (such as the number of hospitals, doctors, etc.) in the target city, the corresponding values ​​are obtained through data statistics. Combined with pre-set weights for each indicator, a comprehensive value for all indicators in the target city is calculated, and this comprehensive value is used as the assessment value for medical resource security in the target city.

[0004] However, the above methods are for assessing medical resource security in a single city. In a region, medical resources among cities are in a state of coordinated security. The medical resources of one city will affect the medical resource security of other cities in the region. Therefore, it is impossible to accurately achieve coordinated management of regional medical resources by assessing the medical resource security of a single city in isolation. Summary of the Invention

[0005] The purpose of this invention is to provide a method, device, and electronic device for collaborative management of regional medical resources, so as to achieve collaborative management of regional medical resources. The specific technical solution is as follows:

[0006] In a first aspect, embodiments of the present invention provide a method for collaborative management of regional medical resources, the method comprising:

[0007] Acquire medical resource-related data for each node within the target area; the medical resource-related data includes different types of medical resource data;

[0008] Based on the medical resource-related data of each node, the supply and demand levels of medical resources of each node are determined;

[0009] Based on the supply and demand levels of medical resources at each node, calculate the medical resource synergy strength value between every two nodes;

[0010] Based on the medical resource collaboration strength value between each pair of nodes, the collaboration capability value of each node in the target area is determined;

[0011] Based on the collaborative capability value of each node in the target area, medical resource collaborative management is carried out on each node.

[0012] Optionally, determining the supply and demand level of medical resources for each node based on the medical resource-related data of each node includes:

[0013] For each node, based on the medical resource-related data of that node, calculate the sub-supply and demand levels of that node under different types of medical resource data;

[0014] Based on the sub-supply and demand levels of the node under different types of medical resource data, the supply and demand level of medical resources of the node is determined.

[0015] Optionally, the calculation of the sub-supply and demand levels of the node under different types of medical resource data based on the medical resource-related data of the node includes:

[0016] Based on the medical resource data of this node, the sub-supply and demand levels of this node under different types of medical resource data are calculated using the following expression:

[0017] ;

[0018] in, Indicates the first Each node in medical resource data The sub-supply and demand levels, Indicates the first Each node in medical resource data The following medical resource capacity value, Indicates the first The medical resource demand value corresponding to each node. Indicating in medical resource data The national average medical resource capacity value is as follows. This represents the national average demand for medical resources.

[0019] Optionally, calculating the medical resource synergy strength value between every two nodes based on the supply and demand levels of medical resources at each node includes:

[0020] Based on the supply and demand levels of medical resources at each node, the medical resource collaboration strength value between any two nodes is calculated using the following expression:

[0021] ;

[0022] in, Indicates the first The node and the first The strength of medical resource collaboration among nodes, where c represents the gravitational coefficient. Indicates the first The population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first The node and the first The distance between nodes.

[0023] Optionally, the method further includes:

[0024] Based on the medical resource collaboration strength value between every two nodes, a medical resource collaboration network adjacency matrix is ​​constructed, and based on the medical resource collaboration network adjacency matrix, a medical resource collaboration network is constructed; the value of each element in the medical resource collaboration network adjacency matrix is ​​the medical resource collaboration strength value between two nodes.

[0025] The determination of the collaborative capability value of each node in the target area based on the medical resource collaboration strength value between every two nodes includes at least one of the following:

[0026] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated, and the weight value of each node is determined as the collaboration capability value of each node in the target area.

[0027] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated, and the degree distribution value of the medical resource collaboration network is calculated according to the weight value of each node. The degree distribution value is determined as the collaboration capability value of each node in the target area.

[0028] Based on the value of each element in the adjacency matrix of the medical resource collaboration network and the supply and demand level of medical resources of each node, the disaster recovery capability value of each node in the medical resource collaboration network is calculated, and the disaster recovery capability value of each node is determined as the collaboration capability value of each node in the target area.

[0029] Optionally, calculating the weight value of each node in the medical resource collaboration network based on the value of each element in the adjacency matrix of the medical resource collaboration network includes:

[0030] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated using the following expression:

[0031] ;

[0032] in, Indicates the first The weight values ​​of each node. This indicates the number of nodes in the aforementioned medical resource collaboration network. Indicates the first The node and the first The intensity of medical resource collaboration between nodes;

[0033] The step of calculating the degree distribution value of the medical resource collaboration network based on the weight values ​​of each node includes:

[0034] Based on the weight values ​​of each node, curve fitting is performed using the following expression to obtain the degree distribution value of the medical resource collaboration network:

[0035] ;

[0036] Denotes the constant to be fitted. This represents the degree distribution value of the medical resource collaboration network. Indicates the first The ranking of the weight values ​​of each node among all the weight values ​​of all nodes.

[0037] Optionally, calculating the disaster recovery capability value of each node in the medical resource collaboration network based on the value of each element in the adjacency matrix of the medical resource collaboration network and the medical resource supply and demand level of each node includes:

[0038] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, and the supply and demand levels of medical resources for each node, the disaster recovery capability value of each node in the medical resource collaboration network is calculated using the following expression:

[0039] ;

[0040] ;

[0041] in, Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node To specify a constant, This indicates the number of nodes in the aforementioned medical resource collaboration network. Indicating after the disaster Time of the first The node and the first The intensity of medical resource collaboration between nodes Indicates the moment when the disaster began. The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node The corresponding duration is the first The recovery time required for the supply and demand of medical resources at each node to return to the level at the time of the initial disaster is defined as the time required for the supply and demand of medical resources at each node to recover after the disaster. The disaster recovery capability value of each node.

[0042] Optionally, the medical resource collaborative management of each node based on its collaborative capability value in the target area includes at least one of the following:

[0043] When the collaborative capability value of each node in the target area is the weight value of each node, medical resources are supplemented for the nodes whose weight values ​​are lower than the first preset threshold.

[0044] When the collaborative capability value of each node in the target area is the degree distribution value of the medical resource collaborative network, if the degree distribution value is less than the second preset threshold, the medical resources of the node with the higher weight value will be scheduled to the node with the lower weight value.

[0045] If the collaborative capability value of each node in the target area is equal to the disaster recovery capability value of each node, then medical resources are supplemented for the nodes whose disaster recovery capability value is greater than the third preset threshold.

[0046] Secondly, embodiments of the present invention provide a regional medical resource collaborative management device, the device comprising:

[0047] The data acquisition module is used to acquire medical resource-related data of each node within the target area; the medical resource-related data includes different types of medical resource data.

[0048] The supply and demand level determination module is used to determine the supply and demand level of medical resources for each node based on the medical resource-related data of each node.

[0049] The collaboration strength value determination module is used to calculate the collaboration strength value of medical resources between every two nodes based on the supply and demand level of medical resources of each node.

[0050] The collaborative capability value determination module is used to determine the collaborative capability value of each node in the target area based on the medical resource collaborative intensity value between each pair of nodes;

[0051] A collaborative management model is used to perform collaborative management of medical resources for each node based on the collaborative capability value of each node in the target area.

[0052] Thirdly, embodiments of the present invention provide an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus;

[0053] Memory, used to store computer programs;

[0054] A processor, when executing a program stored in memory, implements any of the methods described above.

[0055] Fourthly, embodiments of the present invention also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements any of the methods described above.

[0056] Fifthly, embodiments of the present invention also provide a computer program product containing instructions that, when run on a computer, cause the computer to perform any of the methods described above.

[0057] Beneficial effects of the embodiments of the present invention:

[0058] This invention provides a method, apparatus, and electronic device for collaborative management of regional medical resources. Based on medical resource-related data of each node within a target area, it determines the supply and demand levels of medical resources for each node. Then, based on these supply and demand levels, it calculates the collaborative strength value of medical resources between every two nodes. Next, based on this collaborative strength value, it determines the collaborative capability value of each node within the target area. Finally, based on this collaborative capability value, it performs collaborative management of medical resources for each node. Because the collaborative capability value of each node within the target area is calculated based on the collaborative strength value of medical resources between every two nodes, the assessment of the node's collaborative capability value within the target area considers the impact of medical resource collaboration between nodes. This provides a scientific basis for assessing the resilience of overall regional medical resources. Based on this, it achieves rapid assessment of regional medical resource collaboration capability and further realizes collaborative management of medical resources at each node within the region.

[0059] Of course, implementing any product or method of the present invention does not necessarily require achieving all of the advantages described above at the same time. Attached Figure Description

[0060] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings.

[0061] Figure 1 This is a schematic flowchart of a regional medical resource collaborative management method provided in an embodiment of the present invention;

[0062] Figure 2 This is another flowchart illustrating the regional medical resource collaborative management method provided in an embodiment of the present invention;

[0063] Figure 3 A schematic diagram of a regional medical resource collaboration capability assessment method provided in an embodiment of the present invention;

[0064] Figure 4 A schematic diagram of a regional medical resource collaborative management device provided in an embodiment of the present invention;

[0065] Figure 5This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0066] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art based on this application are within the scope of protection of the present invention.

[0067] To achieve rapid assessment of regional medical resource collaboration capabilities and further realize collaborative management of regional medical resources, embodiments of the present invention provide a method, apparatus, and electronic device for regional medical resource collaborative management. The regional medical resource collaborative management method provided by these embodiments can be applied to electronic devices, such as terminal devices or server devices.

[0068] like Figure 1 As shown in the figure, an embodiment of the present invention provides a method for collaborative management of regional medical resources, which includes the following steps:

[0069] S101, Obtain medical resource-related data for each node within the target area;

[0070] Medical resource-related data includes data on different types of medical resources;

[0071] S102, Based on the medical resource-related data of each node, determine the supply and demand level of medical resources in each node;

[0072] S103, Calculate the medical resource coordination strength value between every two nodes based on the supply and demand level of medical resources at each node;

[0073] S104, Based on the medical resource collaboration strength value between every two nodes, determine the collaboration capability value of each node in the target area;

[0074] S105, based on the collaborative capability value of each node in the target area, performs collaborative management of medical resources for each node.

[0075] In this embodiment of the invention, since the collaborative capability value of each node in the target area is calculated based on the medical resource collaborative strength value between every two nodes, the assessment of the collaborative capability value of the nodes in the target area takes into account the impact of medical resource collaboration between nodes, providing a scientific basis for the resilience assessment of the overall medical resources in the region. Based on this, a rapid assessment of the collaborative capability of regional medical resources is realized, and further collaborative management of medical resources of each node in the region is realized.

[0076] In S101, the target area can be any area involved in regional integration, and the nodes in the target area can be cities contained within the target area.

[0077] In one example, data on medical resources at various nodes within a target area can be obtained through officially released data, or through statistical analysis of media reports. The obtained data can contain different types of medical resources. For instance, data on medical resources at various nodes within a target area within a preset time period can be obtained through officially released data. The duration of the preset time period can be set according to actual circumstances, such as three months, six months, or one year.

[0078] In one possible implementation, the acquired medical resource-related data may include: the number of hospitals, the number of beds, and the number of qualified doctors, nurses, etc.

[0079] In S102, based on the medical resource-related data of each node, the location entropy method can be used to assess the supply and demand of medical resources in each node, thus obtaining the supply and demand level of medical resources for each node. The supply and demand level of medical resources of a node is used to characterize the relationship between the node's medical resource capacity and demand.

[0080] In S103, based on the supply and demand levels of medical resources at each node, the spatial gravity model can be used to calculate the synergy strength value of medical resources between each node, thus obtaining the synergy strength value between every two nodes. The synergy strength value between two nodes is used to characterize the mutual influence relationship of medical resources between the two nodes.

[0081] In S104, after calculating the medical resource collaboration strength value between every two nodes, a medical resource collaboration network adjacency matrix can be constructed using this value. Furthermore, the weight of each node in this adjacency matrix is ​​calculated to determine the collaboration capability value of each node in the target area. Then, in S105, based on the collaboration capability value of each node in the target area, medical resource collaboration management is performed on each node.

[0082] like Figure 2 As shown in the figure, another method for collaborative management of regional medical resources provided by an embodiment of the present invention includes the following steps:

[0083] S201, Obtain medical resource-related data for each node within the target area.

[0084] For example, medical resource-related data for each node within a target area can be obtained from officially released data within a preset time period. The duration of the preset time period can be set according to actual conditions, such as three months, six months, or one year. The obtained medical resource-related data may include: the number of hospitals, the number of beds, and the number of qualified doctors, nurses, etc. Accordingly, the following process for implementing the regional medical resource collaborative management method is based on the obtained medical resource-related data for each node within the target area.

[0085] S202, For each node, based on the medical resource-related data of that node, calculate the sub-supply and demand level of that node under different types of medical resource data.

[0086] For example, for each node, the supply and demand status of the node under different types of medical resource data can be evaluated based on the medical resource-related data of that node, and the sub-supply and demand level of that node under different types of medical resource data can be obtained.

[0087] In one possible implementation, for each node, the sub-supply and demand level of that node under different types of medical resource data can be calculated based on the node's medical resource-related data using the following expression:

[0088]

[0089] in, Indicates the first Each node in medical resource data The sub-supply and demand levels, Indicates the first Each node in medical resource data The following medical resource capacity value, Indicates the first The medical resource demand value corresponding to each node. Indicating in medical resource data The national average medical resource capacity value is as follows. This represents the national average demand for medical resources.

[0090] For example, medical resource data This could be the number of hospitals, the number of hospital beds, or the number of qualified doctors and nurses, etc. The medical resource capacity value represents the quantity of medical resources that can be supplied, while the medical resource demand value represents the quantity of medical resources required.

[0091] The above expression distinguishes the supply and demand of medical resources in a city (node) from those in the national context, eliminating regional differences and allowing for a more accurate reflection of the supply and demand of medical resources in each node under a unified standard.

[0092] S203. Based on the sub-supply and demand levels of the node under different types of medical resource data, determine the supply and demand level of medical resources for the node.

[0093] In one example, for each node, when calculating the sub-supply and demand levels of that node under different types of medical resource data, the following expression can be used to calculate the medical resource supply and demand level of that node:

[0094]

[0095] in, Indicates the first The supply and demand levels of medical resources at each node This indicates the number of types of medical resource data.

[0096] In this embodiment of the invention, the supply and demand of medical resources of a node are divided with the national level to eliminate the factors of regional scale differences, so as to more accurately reflect the supply and demand level of medical resources of each node under a unified standard. Furthermore, the sub-supply and demand levels of a node under different types of medical resource data are superimposed to realize the assessment of the supply and demand level of medical resources of the node in the target area.

[0097] For example, it is also feasible to calculate the average or weighted average of the sub-supply and demand levels of each node under different types of medical resource data to obtain the medical resource supply and demand level of that node.

[0098] S204, based on the supply and demand levels of medical resources at each node, calculates the medical resource synergy strength value between every two nodes.

[0099] In one possible implementation, the medical resource synergy strength between nodes can be calculated using a spatial gravity model based on the supply and demand levels of medical resources at each node, thus obtaining the medical resource synergy strength value between every two nodes. Specifically, the medical resource synergy strength value between every two nodes can be calculated using the following expression (spatial gravity model) based on the supply and demand levels of medical resources at each node:

[0100]

[0101] in, Indicates the first The node and the first The strength of medical resource collaboration among nodes, where c represents the gravitational coefficient. Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first The node and the first The distance between nodes.

[0102] For example, the value of c can be 1. Specifically, it could be the... The node and the first The physical distance between nodes.

[0103] S205. Based on the medical resource collaboration strength value between every two nodes, construct the adjacency matrix of the medical resource collaboration network, and construct the medical resource collaboration network based on the adjacency matrix of the medical resource collaboration network.

[0104] Having obtained the medical resource collaboration strength value between every two nodes, we directly construct the adjacency matrix of the medical resource collaboration network using this value as an element. Correspondingly, the elements in the adjacency matrix can be represented as follows: In other words, the value of each element in the adjacency matrix of the medical resource collaboration network is the medical resource collaboration strength between two nodes. For example, if there are k nodes in the target region, then the adjacency matrix of the medical resource collaboration network includes k×k elements.

[0105] Furthermore, the nodes in the target region are used as nodes in the medical resource collaboration network, and the values ​​of the elements in the adjacency matrix of the medical resource collaboration network are used as the edges between two nodes to construct the medical resource collaboration network.

[0106] In one example, the elements in the adjacency matrix of the medical resource collaboration network can be processed. For instance, the values ​​of elements less than a set threshold can be set to 0, while the values ​​of elements not less than the set threshold can be retained. Then, the medical resource collaboration network can be constructed so that it can more intuitively reflect the collaborative relationship of medical resources between nodes in the target area.

[0107] S206. Based on the value of each element in the adjacency matrix of the medical resource collaboration network, calculate the weight value of each node in the medical resource collaboration network, and determine the weight value of each node as the collaboration capability value of each node in the target area.

[0108] In one possible implementation, the weight value of each node in the medical resource collaboration network can be calculated based on the value of each element in the adjacency matrix of the medical resource collaboration network using the following expression:

[0109]

[0110] in, Indicates the first The weight values ​​of each node. This indicates the number of nodes in the medical resource collaboration network. Indicates the first The node and the first The intensity of medical resource collaboration between nodes.

[0111] This indicates the number of nodes in the medical resource collaboration network, which is also the number of nodes in the target area.

[0112] In this embodiment of the invention, starting from the node level of the medical resource collaboration network, the weight value of each node in the network is calculated. This weight value is then determined as the collaboration capability value of each node in the target area, thereby assessing the resilience of medical resource collaboration in the target area from the network node level. A larger node weight value indicates greater importance of the node in the medical resource collaboration network or the target area, and stronger resilience against external attacks. Conversely, a smaller node weight value indicates less importance of the node in the network or the target area, and weaker resilience against external attacks.

[0113] Furthermore, the average or weighted average of the weights of each node can be calculated. This average or weighted average can be used as the average weight of the medical resource collaboration network or the target area. The medical resource collaboration capability of the medical resource collaboration network or the target area can then be determined based on this average weight (the average weight is directly used as the medical resource collaboration capability). The larger the average weight, the stronger the medical resource collaboration capability of the medical resource collaboration network or the target area.

[0114] S207. Based on the value of each element in the adjacency matrix of the medical resource collaboration network, calculate the weight value of each node in the medical resource collaboration network, and calculate the degree distribution value of the medical resource collaboration network according to the weight value of each node. Determine the degree distribution value as the collaboration capability value of each node in the target area.

[0115] The method for calculating the weight value of each node in the medical resource collaboration network based on the value of each element in the adjacency matrix of the medical resource collaboration network is described in step S206 above. Furthermore, the degree distribution value of the medical resource collaboration network can be obtained by curve fitting based on the weight values ​​of each node using the following expression:

[0116]

[0117] Denotes the constant to be fitted. This represents the degree distribution value of the medical resource collaboration network. Indicates the first The weight value of each node is ranked among the weight values ​​of all nodes. The degree distribution value of the medical resource collaboration network represents the degree distribution of each node in the network.

[0118] Using the calculated node weights And the ranking of the node's weight value among all nodes' weight values ​​(from largest to smallest). Curve fitting is performed; the expression for curve fitting is: The constant to be fitted is obtained through curve fitting. and the degree distribution value of the medical resource collaboration network. .

[0119] In this embodiment of the invention, the degree distribution value of the medical resource collaboration network is calculated from the network structure level. , degree distribution value The collaborative capability value of each node in the target area is determined to assess the resilience of collaborative medical resource support in the target area from the perspective of network structure. This can characterize the hierarchy of a medical resource collaboration network; the stronger the hierarchy, the greater the contribution of core nodes to medical resources within the network. In other words, The larger the value, the worse the balance of the medical resource collaboration network or the target area, meaning the weaker the coordination ability of the medical resource collaboration network or the target area; conversely, the smaller the value, the weaker the balance. The smaller the value, the better the balance of the medical resource collaboration network or the target area, that is, the better the coordination ability of the medical resource collaboration network or the target area.

[0120] S208. Based on the value of each element in the adjacency matrix of the medical resource collaboration network and the supply and demand level of medical resources of each node, calculate the disaster recovery capability value of each node in the medical resource collaboration network, and determine the disaster recovery capability value of each node as the collaboration capability value of each node in the target area.

[0121] In one possible implementation, the disaster recovery capability value of each node in the medical resource collaboration network can be calculated using the following expression, based on the value of each element in the adjacency matrix of the medical resource collaboration network and the supply and demand level of medical resources for each node:

[0122]

[0123]

[0124] in, Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node For a specified constant, take a value between 0 and 1. This indicates the number of nodes in the medical resource collaboration network. Indicating after the disaster Time of the first The node and the first The intensity of medical resource collaboration between nodes Indicates the moment when the disaster began. The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node The corresponding duration is the first The recovery time required for the supply and demand of medical resources at each node to return to the level at the time of the initial disaster is defined as the time required for the supply and demand of medical resources at each node to recover after the disaster. The disaster recovery capability value of each node.

[0125] When a node within a target area is attacked by external threats, such as an emergency medical incident, the node's own medical support capabilities will be significantly reduced. For example, the first... The supply and demand levels of medical resources at each node at the moment the disaster began are: At this point, because the supply and demand levels of medical resources may have decreased since the disaster began, the supply and demand levels of medical resources can be expressed as follows: , This represents the risk attack impact coefficient, which ranges from 0 to 1.

[0126] This invention, from the perspective of network recovery in a medical resource collaboration network, calculates the recovery time required for a node's medical resource supply and demand levels to return to the levels at the time of the initial disaster. This recovery time is used as the node's disaster recovery capability value to assess the resilience of medical resource collaboration in a target area from a network recovery perspective. A smaller disaster recovery capability value indicates a stronger recovery capability for the node within the medical resource collaboration network or the target area; conversely, a larger disaster recovery capability value indicates a weaker recovery capability for the node within the medical resource collaboration network or the target area.

[0127] Furthermore, the average or weighted average of the disaster recovery capability values ​​of each node can be calculated. This average or weighted average can be used as the average disaster recovery capability value of the medical resource collaboration network or the target area. The medical resource collaboration capability of the medical resource collaboration network or the target area can then be determined based on this average disaster recovery capability value (directly using the average disaster recovery capability value as the medical resource collaboration capability). The smaller the average disaster recovery capability value, the stronger the medical resource recovery capability of the medical resource collaboration network or the target area.

[0128] In this embodiment of the invention, at least one of the steps S206-S208 described above can be used to determine the collaborative capability value of each node in the target area.

[0129] For example, such as Figure 3 As shown, in this embodiment of the invention, through the above steps S206-S208, the weight value of the node is calculated at the network node level, the degree distribution value of the network is calculated at the network structure level, and the disaster recovery capability value of the node (i.e. the disaster recovery time of the node) is calculated at the network recovery level. This is used to evaluate the resilience of medical resources in the medical resource collaboration network or the target area, so as to better realize the collaborative management of medical resources.

[0130] S209, based on the collaborative capability value of each node in the target area, performs collaborative management of medical resources for each node.

[0131] In one possible implementation, corresponding to steps S206-S208 above, the medical resource collaborative management of each node in this embodiment of the invention is based on the collaborative capability value of each node in the target area, including at least one of the following:

[0132] If the collaborative capability value of each node in the target area is the weight value of each node, then medical resources are supplemented for nodes whose weight value is lower than the first preset threshold.

[0133] If the collaborative capability value of each node in the target area is the degree distribution value of the medical resource collaborative network, and the degree distribution value is less than the second preset threshold, the medical resources of the node with the higher weight value will be scheduled to the node with the lower weight value.

[0134] If the collaborative capability value of each node in the target area is equal to the disaster recovery capability value of each node, then medical resources will be supplemented for nodes whose disaster recovery capability value is greater than the third preset threshold.

[0135] In one example, when assessing the resilience of medical resources in a collaborative medical resource network or a target area using node weights, a larger node weight indicates stronger resilience against external attacks, while a smaller weight indicates weaker resilience. Therefore, collaborative management of medical resources can be achieved by supplementing medical resources to nodes with weights below a first preset threshold. Alternatively, if the average weight is less than a fourth preset threshold, collaborative management of medical resources can also be achieved by supplementing medical resources to nodes with weights below the first preset threshold.

[0136] When using the degree distribution value of the medical resource collaboration network to assess the resilience of regional medical resources corresponding to the medical resource collaboration network or the target area, the larger the degree distribution value, the worse the coordination ability of the medical resource collaboration network or the target area; the smaller the degree distribution value, the better the coordination ability of the medical resource collaboration network or the target area. Therefore, by scheduling the medical resources of nodes with high weight values ​​to nodes with low weight values ​​when the degree distribution value is less than a second preset threshold, medical resource collaboration management is carried out on each node.

[0137] When assessing the resilience of regional medical resources in a collaborative medical resource network or target area using node disaster recovery capability values, a smaller node disaster recovery capability value indicates stronger recovery capability within the network or target area, while a larger value indicates weaker recovery capability. Therefore, collaborative medical resource management can be implemented by supplementing medical resources to nodes with disaster recovery capability values ​​exceeding a third preset threshold. Alternatively, if the average disaster recovery capability value exceeds a fifth preset threshold, collaborative medical resource management can also be implemented by supplementing medical resources to nodes with disaster recovery capability values ​​exceeding the third preset threshold.

[0138] The first, second, third, fourth, and fifth preset thresholds can be set according to actual needs, and the embodiments of the present invention do not impose any restrictions on them.

[0139] In this embodiment of the invention, since the collaborative capability value of each node in the target area is calculated based on the medical resource collaborative strength value between every two nodes, the assessment of the collaborative capability value of a node in the target area takes into account the impact of medical resource collaboration between nodes, providing a scientific basis for the resilience assessment of the overall medical resources in the region. Based on this, a rapid assessment of the collaborative capability of regional medical resources is achieved, further realizing the collaborative management of medical resources of each node in the region. Furthermore, based on the medical resource collaborative strength value between every two nodes, a medical resource collaborative network adjacency matrix is ​​constructed, and then based on the medical resource collaborative network adjacency matrix, a medical resource collaborative network is constructed, defining the medical resource collaborative guarantee relationship between nodes in the region, taking into account the impact of medical resource collaboration between nodes. Furthermore, the weight value of the node is calculated at the network node level, the degree distribution value of the network is calculated at the network structure level, and the disaster recovery capability value of the node (i.e., the disaster recovery time of the node) is calculated at the network recovery level, respectively. The collaborative capability value of the node in the region is quantitatively calculated, realizing a comprehensive assessment of the overall resilience of regional medical resources, thereby enabling better collaborative management of regional medical resources.

[0140] This invention also provides a regional medical resource collaborative management device, such as... Figure 4 As shown, the device includes:

[0141] The data acquisition module 401 is used to acquire medical resource-related data of each node in the target area; the medical resource-related data includes different types of medical resource data;

[0142] The supply and demand level determination module 402 is used to determine the supply and demand level of medical resources at each node based on the relevant medical resource data of each node.

[0143] The collaboration strength value determination module 403 is used to calculate the collaboration strength value of medical resources between every two nodes based on the supply and demand level of medical resources at each node.

[0144] The collaborative capability value determination module 404 is used to determine the collaborative capability value of each node in the target area based on the medical resource collaborative intensity value between every two nodes;

[0145] Collaborative Management Model 405 is used to collaboratively manage medical resources for each node based on the collaborative capability value of each node in the target area.

[0146] In one possible implementation, the supply and demand level determination module 402 includes:

[0147] The supply and demand level calculation submodule is used to calculate the sub-supply and demand level of each node under different types of medical resource data, based on the medical resource-related data of that node.

[0148] The supply and demand level determination submodule is used to determine the supply and demand level of medical resources for a node based on the sub-supply and demand levels of the node under different types of medical resource data.

[0149] In one possible implementation, the aforementioned supply and demand level calculation submodule is specifically used for:

[0150] For each node, based on the medical resource-related data for that node, the sub-supply and demand levels for that node under different types of medical resource data are calculated using the following expression:

[0151]

[0152] in, Indicates the first Each node in medical resource data The sub-supply and demand levels, Indicates the first Each node in medical resource data The following medical resource capacity value, Indicates the first The medical resource demand value corresponding to each node. Indicating in medical resource data The national average medical resource capacity value is as follows. This represents the national average demand for medical resources.

[0153] In one possible implementation, the aforementioned cooperation strength value determination module 403 is specifically used for:

[0154] Based on the supply and demand levels of medical resources at each node, the medical resource collaboration strength value between any two nodes is calculated using the following expression:

[0155]

[0156] in, Indicates the first The node and the first The strength of medical resource collaboration among nodes, where c represents the gravitational coefficient. Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first The node and the first The distance between nodes.

[0157] In one possible implementation, the above-described apparatus further includes:

[0158] The network construction module is used to construct a medical resource collaboration network adjacency matrix based on the medical resource collaboration strength value between every two nodes, and to construct a medical resource collaboration network based on the medical resource collaboration network adjacency matrix; the value of each element in the medical resource collaboration network adjacency matrix is ​​the medical resource collaboration strength value between two nodes.

[0159] The aforementioned collaborative capability value determination module 404 includes:

[0160] The first collaborative capability value determination submodule is used to calculate the weight value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network, and determine the weight value of each node as the collaborative capability value of each node in the target area.

[0161] The second collaborative capability value determination submodule is used to calculate the weight value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network, and calculate the degree distribution value of the medical resource collaborative network according to the weight value of each node, and determine the degree distribution value as the collaborative capability value of each node in the target area.

[0162] The third collaborative capability value determination submodule is used to calculate the disaster recovery capability value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network and the medical resource supply and demand level of each node, and determine the disaster recovery capability value of each node as the collaborative capability value of each node in the target area.

[0163] In one possible implementation, the aforementioned second collaborative capability value determination submodule is specifically used for:

[0164] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated using the following expression:

[0165]

[0166] in, Indicates the first The weight values ​​of each node. This indicates the number of nodes in the medical resource collaboration network. Indicates the first The node and the first The intensity of medical resource collaboration between nodes;

[0167] Based on the weight values ​​of each node, the degree distribution of the medical resource collaboration network is obtained by curve fitting using the following expression:

[0168]

[0169] Denotes the constant to be fitted. This represents the degree distribution value of the medical resource collaboration network. Indicates the first The ranking of the weight values ​​of each node among all the weight values ​​of all nodes.

[0170] In one possible implementation, the aforementioned third collaborative capability value determination submodule is specifically used for:

[0171] Based on the value of each element in the adjacency matrix of the medical resource collaboration network, and the supply and demand levels of medical resources for each node, the disaster recovery capability value of each node in the medical resource collaboration network is calculated using the following expression:

[0172]

[0173]

[0174] in, Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node To specify a constant, This indicates the number of nodes in the medical resource collaboration network. Indicating after the disaster Time of the first The node and the first The intensity of medical resource collaboration between nodes Indicates the moment when the disaster began. The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node The corresponding duration is the first The recovery time required for the supply and demand of medical resources at each node to return to the level at the time of the initial disaster is defined as the time required for the supply and demand of medical resources at each node to recover after the disaster. The disaster recovery capability value of each node.

[0175] In one possible implementation, the above-mentioned collaborative management model 405 includes:

[0176] The first collaborative management sub-model is used to supplement medical resources for nodes whose collaborative capability value in the target area is lower than the first preset threshold, given that the collaborative capability value of each node is the weight value of each node.

[0177] The second collaborative management sub-model is used to schedule medical resources of nodes with high weight values ​​to nodes with low weight values ​​when the degree distribution value of each node in the target area is less than the second preset threshold, provided that the collaborative capability value of each node in the target area is the degree distribution value of the medical resource collaborative network.

[0178] The third collaborative management sub-model is used to supplement medical resources for nodes whose disaster recovery capability value is greater than the third preset threshold, when the collaborative capability value of each node in the target area is the disaster recovery capability value of each node.

[0179] This invention also provides an electronic device, such as... Figure 5 As shown, it includes a processor 501, a communication interface 502, a memory 503, and a communication bus 504, wherein the processor 501, the communication interface 502, and the memory 503 communicate with each other through the communication bus 504.

[0180] Memory 503 is used to store computer programs;

[0181] When the processor 501 executes the program stored in the memory 503, it implements the steps of any of the above-mentioned regional medical resource collaborative management methods to achieve the same technical effect.

[0182] The communication bus mentioned in the above electronic devices can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0183] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0184] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0185] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0186] In another embodiment of the present invention, a computer-readable storage medium is also provided, which stores a computer program. When the computer program is executed by a processor, it implements the steps of any of the above-described regional medical resource collaborative management methods to achieve the same technical effect.

[0187] In another embodiment of the present invention, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the steps of any of the regional medical resource collaborative management methods in the above embodiments, so as to achieve the same technical effect.

[0188] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0189] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0190] The various embodiments in this specification are described in a related manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the device and electronic device embodiments are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0191] The above description is merely a preferred embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of protection of the present invention.

Claims

1. A method for collaborative management of regional medical resources, characterized in that, The method includes: Acquire medical resource-related data for each node within the target area; the medical resource-related data includes different types of medical resource data; Based on the medical resource-related data of each node, the supply and demand levels of medical resources of each node are determined; Based on the supply and demand levels of medical resources at each node, calculate the medical resource synergy strength value between every two nodes; Based on the medical resource collaboration strength value between each pair of nodes, the collaboration capability value of each node in the target area is determined; Based on the collaborative capability value of each node in the target area, medical resource collaborative management is carried out on each node; The step of calculating the medical resource synergy strength value between every two nodes based on the medical resource supply and demand levels of each node includes: calculating the medical resource synergy strength value between every two nodes using the following expression, based on the medical resource supply and demand levels of each node: ; in, Indicates the first The node and the first The strength of medical resource collaboration among nodes, where c represents the gravitational coefficient. Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first The node and the first The distance between nodes; The method further includes: constructing a medical resource collaboration network adjacency matrix based on the medical resource collaboration strength value between each pair of nodes, and constructing a medical resource collaboration network based on the medical resource collaboration network adjacency matrix; the value of each element in the medical resource collaboration network adjacency matrix is ​​the medical resource collaboration strength value between two nodes; The determination of the collaborative capability value of each node in the target area based on the medical resource collaboration strength value between every two nodes includes at least one of the following: Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated, and the weight value of each node is determined as the collaboration capability value of each node in the target area. Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated, and the degree distribution value of the medical resource collaboration network is calculated according to the weight value of each node. The degree distribution value is determined as the collaboration capability value of each node in the target area. Based on the value of each element in the adjacency matrix of the medical resource collaboration network and the supply and demand level of medical resources of each node, the disaster recovery capability value of each node in the medical resource collaboration network is calculated, and the disaster recovery capability value of each node is determined as the collaboration capability value of each node in the target area.

2. The method according to claim 1, characterized in that, The determination of the supply and demand level of medical resources for each node based on the medical resource-related data of each node includes: For each node, based on the medical resource-related data of that node, calculate the sub-supply and demand levels of that node under different types of medical resource data; Based on the sub-supply and demand levels of the node under different types of medical resource data, the supply and demand level of medical resources of the node is determined.

3. The method according to claim 2, characterized in that, Based on the medical resource-related data of this node, the sub-supply and demand levels of this node under different types of medical resource data are calculated, including: Based on the medical resource data of this node, the sub-supply and demand levels of this node under different types of medical resource data are calculated using the following expression: ； in, Indicates the first Each node in medical resource data The sub-supply and demand levels, Indicates the first Each node in medical resource data The following medical resource capacity value, Indicates the first The medical resource demand value corresponding to each node. Indicating in medical resource data The national average medical resource capacity value is as follows. This represents the national average demand for medical resources.

4. The method according to claim 1, characterized in that, The step of calculating the weight value of each node in the medical resource collaboration network based on the value of each element in the adjacency matrix of the medical resource collaboration network includes: Based on the value of each element in the adjacency matrix of the medical resource collaboration network, the weight value of each node in the medical resource collaboration network is calculated using the following expression: ； in, Indicates the first The weight values ​​of each node. This indicates the number of nodes in the aforementioned medical resource collaboration network. Indicates the first The node and the first The intensity of medical resource collaboration between nodes; The step of calculating the degree distribution value of the medical resource collaboration network based on the weight values ​​of each node includes: Based on the weight values ​​of each node, curve fitting is performed using the following expression to obtain the degree distribution value of the medical resource collaboration network: ； Denotes the constant to be fitted. This represents the degree distribution value of the medical resource collaboration network. Indicates the first The ranking of the weight values ​​of each node among all the weight values ​​of all nodes.

5. The method according to claim 1, characterized in that, The calculation of the disaster recovery capability value of each node in the medical resource collaboration network based on the value of each element in the adjacency matrix of the medical resource collaboration network and the medical resource supply and demand level of each node includes: Based on the value of each element in the adjacency matrix of the medical resource collaboration network, and the supply and demand levels of medical resources for each node, the disaster recovery capability value of each node in the medical resource collaboration network is calculated using the following expression: ； ； in, Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node To specify a constant, This indicates the number of nodes in the aforementioned medical resource collaboration network. Indicating after the disaster Time of the first The node and the first The intensity of medical resource collaboration between nodes Indicates the moment when the disaster began. The supply and demand levels of medical resources at each node Indicating after the disaster Time of the first The supply and demand levels of medical resources at each node The corresponding duration is the first The recovery time required for the supply and demand of medical resources at each node to return to the level at the time of the initial disaster is defined as the time required for the supply and demand of medical resources at each node to recover after the disaster. The disaster recovery capability value of each node.

6. The method according to claim 1, characterized in that, The method of collaborative management of medical resources for each node based on its collaborative capability value in the target area includes at least one of the following: When the collaborative capability value of each node in the target area is the weight value of each node, medical resources are supplemented for the nodes whose weight values ​​are lower than the first preset threshold. When the collaborative capability value of each node in the target area is the degree distribution value of the medical resource collaborative network, if the degree distribution value is less than the second preset threshold, the medical resources of the node with the higher weight value will be scheduled to the node with the lower weight value. If the collaborative capability value of each node in the target area is equal to the disaster recovery capability value of each node, then medical resources are supplemented for the nodes whose disaster recovery capability value is greater than the third preset threshold.

7. A regional medical resource collaborative management device, characterized in that, The device includes: The data acquisition module is used to acquire medical resource-related data of each node within the target area; the medical resource-related data includes different types of medical resource data. The supply and demand level determination module is used to determine the supply and demand level of medical resources for each node based on the medical resource-related data of each node. The collaboration strength value determination module is used to calculate the collaboration strength value of medical resources between every two nodes based on the supply and demand level of medical resources of each node. The collaborative capability value determination module is used to determine the collaborative capability value of each node in the target area based on the medical resource collaborative intensity value between each pair of nodes; A collaborative management model is used to perform collaborative management of medical resources for each node based on the collaborative capability value of each node in the target area. Specifically, the collaboration strength value determination module is used to calculate the collaboration strength value of medical resources between every two nodes based on the supply and demand levels of medical resources at each node, using the following expression: ； in, Indicates the first The node and the first The strength of medical resource collaboration among nodes, where c represents the gravitational coefficient. Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first Population of each node Indicates the first GDP value of each node Indicates the first The supply and demand levels of medical resources at each node Indicates the first The node and the first The distance between nodes; The device further includes: The network construction module is used to construct a medical resource collaboration network adjacency matrix based on the medical resource collaboration strength value between every two nodes, and to construct a medical resource collaboration network based on the medical resource collaboration network adjacency matrix; the value of each element in the medical resource collaboration network adjacency matrix is ​​the medical resource collaboration strength value between two nodes. The collaborative capability value determination module includes: The first collaborative capability value determination submodule is used to calculate the weight value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network, and determine the weight value of each node as the collaborative capability value of each node in the target area. The second collaborative capability value determination submodule is used to calculate the weight value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network, and calculate the degree distribution value of the medical resource collaborative network according to the weight value of each node, and determine the degree distribution value as the collaborative capability value of each node in the target area. The third collaborative capability value determination submodule is used to calculate the disaster recovery capability value of each node in the medical resource collaborative network based on the value of each element in the adjacency matrix of the medical resource collaborative network and the medical resource supply and demand level of each node, and determine the disaster recovery capability value of each node as the collaborative capability value of each node in the target area.

8. An electronic device, characterized in that, It includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method described in any one of claims 1-6.

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