Dynamic control method and system for hospital purchase cost

Abstract

The invention provides a hospital purchase cost dynamic control method and system, and the method comprises the steps: converting the obtained data of a to-be-purchased article set and a supplier set into structural data, constructing a space-time diagram of the to-be-purchased article set and the supplier set, extracting the node features and edge features of the space-time diagram, and calculating the purchase cost of the to-be-purchased article set and the supplier set; embedding a time sequence into the graph node features and the edge features, obtaining an influence factor of time change on a purchase decision, constructing a time-space diagram of historical purchase data, supplier set data and time sequence data, training a time-space diagram network model, and completing training of the time-space diagram network model; the node features and the edge features of the space-time diagram serve as input of a training completion model, the purchasing number and the purchasing time of each kind of to-be-purchased goods are obtained, and a purchasing strategy is determined based on supplier set information meeting the purchasing number and the purchasing time; based on the change information of the to-be-purchased article set monitored in real time, the purchase strategy is dynamically adjusted to control the purchase cost, the dependence on manual intervention is reduced, and the efficiency and accuracy of purchase cost decision making are improved.

Description

Technical Field

[0001] The present application relates to the technical field of hospital procurement cost control, and specifically to a method and system for dynamic control of hospital procurement costs. Background Art

[0002] At present, the procurement management process of hospitals mainly revolves around their inventory system, forming a closely related supply chain system. The original intention of the design of this system is to ensure that hospitals can continuously and stably obtain the required medical supplies to maintain daily operations and meet the treatment needs of patients. When the inventory level of a certain set of items to be purchased in the hospital falls below the preset safety threshold, the system will automatically issue a procurement warning mechanism to remind relevant departments to take timely action to avoid shortages of materials affecting the quality of medical services.

[0003] In the traditional procurement model, hospitals often establish long-term cooperative relationships with a fixed set of suppliers. This stability helps reduce uncertainty and risk in the procurement process. However, with the changes in the market environment and the improvement of cost awareness, hospitals have begun to realize that relying solely on a fixed set of suppliers may no longer be the most cost-effective option. For example, considering the changes in the origin of raw materials, this external factor often affects the cost structure of the supplier set, which may indirectly affect the procurement costs of the hospital.

[0004] The traditional fixed supplier set model has certain advantages in ensuring supply stability, but it may appear too rigid in the face of market changes. As the market changes, the shortcomings of the traditional fixed supplier set model in ensuring supply are more obvious. Summary of the invention

[0005] In order to overcome the problem that the fixed supplier set model in the prior art may appear too rigid in ensuring supply in the face of market changes, the present application provides a hospital procurement cost dynamic control method and system, which adopts the following technical solutions:

[0006] In a first aspect, the present application provides a method for dynamically controlling hospital procurement costs, comprising:

[0007] Obtain relevant data on the hospital's set of items to be purchased and the set of suppliers, and convert the relevant data into structured data;

[0008] Based on structured data, a spatiotemporal graph of the set of items to be purchased and the set of suppliers is constructed, where the nodes of the spatiotemporal graph represent entities, and the edges of the spatiotemporal graph represent the relationships between entities;

[0009] Extract node features and edge features of the spatiotemporal graph, embed time series into the graph node features and edge features, and obtain the influencing factors of time changes on procurement decisions;

[0010] Construct a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtain the trained space-time graph network model;

[0011] The node features and edge features of the spatiotemporal graph are used as inputs to the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and the purchase strategy is determined based on the supplier set information that meets the purchase quantity and purchase time.

[0012] Based on the real-time monitoring of changes in the set of items to be purchased, the procurement strategy is dynamically adjusted to control procurement costs.

[0013] Furthermore, the space-time graph of the set of items to be purchased and the set of suppliers is constructed based on the structured data, wherein the nodes of the space-time graph represent entities, and the edges of the space-time graph represent the relationships between entities, wherein the set of items to be purchased and the set of suppliers are entities, and the purchasing relationships between the set of items to be purchased and the set of suppliers are edges.

[0014] Furthermore, the node features and edge features of the spatiotemporal graph are extracted, wherein the node features include: features of the set of items to be purchased and features of the set of suppliers, and the edge features include: supply chain relationships and time series features.

[0015] Furthermore, the characteristics of the set of items to be purchased include: types, specifications and historical demand of the set of items to be purchased; the characteristics of the supplier set include: financial data of the supplier set, production data of the supplier set, delivery data of the supplier set, compliance of the supplier set, and credibility of the supplier set; the supply chain relationship represents the supply chain relationship between the set of items to be purchased and the set of suppliers, and the time series characteristics represent the demand changes of the set of items to be purchased and the price fluctuations of the supplier set.

[0016] Furthermore, the node features and edge features of the spatiotemporal graph are used as inputs of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, including:

[0017] Based on the procurement time, the procurement decision influencing factors of different supplier sets are obtained, the supplier sets whose decision influencing factors do not meet the procurement time are eliminated, and the supplier sets that meet the procurement time are taken as the first choice supplier set.

[0018] Furthermore, the method uses the node features and edge features of the spatiotemporal graph as inputs of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and dynamically adjusts the purchase strategy to control the purchase cost based on the supplier set information that meets the purchase quantity and purchase time, including:

[0019] When the purchase quantity and purchase time of each item to be purchased are obtained, based on the name information of each item to be purchased, a first-choice supplier set associated with the single item to be purchased is obtained;

[0020] Evaluate and screen different supplier sets in the first selected supplier set, and obtain a supplier set that meets the preset evaluation index as the second supplier set to be selected;

[0021] Perform cost accounting on different supplier sets in the second supplier set to be selected based on the time series to obtain a cost accounting set of the second supplier set to be selected;

[0022] By combining and summing the cost data of different sets of items to be purchased in the cost accounting set, the purchase cost set of the entire set of items to be purchased is obtained;

[0023] The lowest procurement cost data in the procurement cost set is obtained as the hospital procurement cost, and the supplier set combination associated with the lowest procurement cost is used as the optimal procurement combination strategy.

[0024] Furthermore, the step of evaluating and screening different supplier sets in the first selected supplier set to obtain a supplier set that meets preset evaluation indicators as the second supplier set to be selected includes:

[0025] Based on different characteristics in the first-choice supplier set, obtaining data information of corresponding characteristics;

[0026] Standardize the data information of corresponding characteristics so that the data information of characteristics of different supplier sets have the same scale;

[0027] Calculate the covariance matrix between features based on the standardized data information of the corresponding features;

[0028] Perform eigendecomposition on the coordination variance matrix to obtain eigenvectors and eigenvalues;

[0029] Sort the eigenvalues ​​in descending order, obtain the top n principal components, and construct the principal component space;

[0030] Convert the original data into the principal component space and obtain the principal component score as the comprehensive evaluation index of the supplier set; obtain the comprehensive evaluation score of different supplier sets based on the principal component analysis results;

[0031] Compare the comprehensive evaluation scores of different supplier sets with the preset evaluation indicators to obtain the supplier set that meets the preset evaluation indicators;

[0032] The supplier set that meets the preset evaluation indicators will be used as the second supplier set to be selected.

[0033] In a second aspect, the present application also provides a hospital procurement cost dynamic control system, including:

[0034] A structured data building module is used to obtain relevant data of the hospital's set of items to be purchased and the set of suppliers, and convert the relevant data into structured data;

[0035] A spatiotemporal graph construction module is used to construct a spatiotemporal graph of a set of items to be purchased and a set of suppliers based on structured data, wherein the nodes of the spatiotemporal graph represent entities, and the edges of the spatiotemporal graph represent the relationships between entities;

[0036] The node and edge feature extraction module is used to extract node features and edge features of the spatiotemporal graph, embed the time series into the graph node features and edge features, and obtain the influencing factors of time changes on procurement decisions;

[0037] The space-time graph network model training module is used to build a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtain the trained space-time graph network model;

[0038] The procurement cost control module is used to use the node features and edge features of the spatiotemporal graph as the input of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and determine the procurement strategy based on the supplier set information that meets the purchase quantity and purchase time;

[0039] The dynamic adjustment module is used to dynamically adjust the procurement strategy and control the procurement cost based on the real-time monitoring of the change information of the set of items to be purchased.

[0040] In a third aspect, the present application provides an electronic device, including:

[0041] One or more processors; a memory; and one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, which, when executed by the device, cause the device to perform the method as described in the first aspect.

[0042] In a fourth aspect, the present application provides a computer-readable storage medium, in which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer executes the method described in the first aspect.

[0043] In a fifth aspect, the present application provides a computer program, which, when executed by a computer, is used to execute the method described in the first aspect.

[0044] In one possible design, the program in the fifth aspect may be stored in whole or in part on a storage medium packaged together with the processor, or may be stored in whole or in part on a memory not packaged together with the processor.

[0045] This application has the following beneficial effects:

[0046] 1. This application converts the data of the set of items to be purchased and the set of suppliers into structured data, and uses the spatiotemporal graph model to determine the purchase quantity and purchase time, and then formulates the optimal procurement strategy.

[0047] 2. This application considers the impact of time changes on procurement decisions through the space-time graph network model, so that procurement strategies can adapt to the changing market and supply chain environment, and facilitate dynamic adjustment of procurement decisions to optimize procurement costs. This application improves the collaborative efficiency of the entire supply chain by optimizing procurement decisions.

[0048] 3. This application uses nodes and edges of the space-time graph to represent entities and the relationships between entities, which provides a comprehensive understanding of the relationship between the set of items to be purchased and the set of suppliers, and helps identify potential supply chain risks.

[0049] 4. This application uses real-time price monitoring to monitor the change information of the set of items to be purchased, dynamically adjusts the procurement strategy to control procurement costs, reduces reliance on manual intervention, overcomes the shortcomings of reliance on a fixed set of suppliers, and improves the efficiency and accuracy of procurement cost decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 is an exemplary system architecture diagram to which the embodiments of the present application can be applied;

[0051] Figure 2 This is a flow chart of a method for dynamically controlling hospital procurement costs according to an embodiment of the present application;

[0052] Figure 3 A schematic diagram of a process for determining a procurement strategy according to an embodiment of the present application;

[0053] Figure 4 This is a schematic diagram of the hospital procurement cost dynamic control process of an embodiment of the present application;

[0054] Figure 5 This is a system flow chart of an embodiment of the present application;

[0055] Figure 6 It is a schematic diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" and any variations thereof in the specification and claims of the present application and the above-mentioned drawings are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned drawings are used to distinguish different objects, not to describe a specific order.

[0057] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0058] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0059] like Figure 1 As shown, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0060] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as web browser applications, shopping applications, search applications, instant messaging tools, email clients, social platform software, etc.

[0061] Terminal devices 101, 102, 103 can be various electronic devices with display screens and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture Experts Group Audio Layer III, Moving Picture Experts Group Audio Layer 3), MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts Group Audio Layer 4) players, laptop computers and desktop computers, etc.

[0062] The server 105 may be a server that provides various services, such as a background server that provides support for web pages displayed on the terminal devices 101 , 102 , and 103 .

[0063] It should be noted that the hospital procurement cost dynamic control method provided in the embodiment of the present application is generally executed by a server / terminal device, and accordingly, the hospital procurement cost dynamic control system is generally set in the server / terminal device.

[0064] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0065] Continue to refer Figure 2 , the figure shows a flow chart of a hospital procurement cost dynamic control method of the present application, the method comprising the following steps:

[0066] Step S1, obtaining relevant data of the hospital's to-be-purchased items set and the supplier set, and converting the relevant data into structured data;

[0067] In this embodiment, converting the relevant data into structured data includes organizing the data fields into a unified format and structure, and the Pandas library in Python can be used for data conversion; the converted data is stored in a database.

[0068] Step S2, constructing a spatiotemporal graph of the set of items to be purchased and the set of suppliers based on the structured data, wherein the nodes of the spatiotemporal graph represent entities, and the edges of the spatiotemporal graph represent the relationships between entities;

[0069] In this embodiment, a space-time graph of the set of items to be purchased and the set of suppliers is constructed based on structured data, wherein the nodes of the space-time graph represent entities, and the edges of the space-time graph represent the relationships between entities, wherein the set of items to be purchased and the set of suppliers are entities, and the purchasing relationships between the set of items to be purchased and the set of suppliers are edges.

[0070] Step S3, extracting node features and edge features of the spatiotemporal graph, embedding the time series into the graph node features and edge features, and obtaining the influencing factors of time changes on procurement decisions;

[0071] In this embodiment, the node features and edge features of the spatiotemporal graph are extracted, wherein the node features include: features of the set of items to be purchased and features of the set of suppliers, and the edge features include: supply chain relationships and time series features.

[0072] In this embodiment, the characteristics of the set of items to be purchased include: the types, specifications and historical demand of the set of items to be purchased; the characteristics of the supplier set include: the financial data of the supplier set, the production data of the supplier set, the delivery data of the supplier set, the compliance of the supplier set, and the credibility of the supplier set; the supply chain relationship represents the supply chain relationship between the set of items to be purchased and the set of suppliers, and the time series characteristics represent the demand changes of the set of items to be purchased and the price fluctuations of the supplier set.

[0073] Step S4, constructing a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtaining a trained space-time graph network model;

[0074] Step S5, using the node features and edge features of the spatiotemporal graph as inputs of the trained spatiotemporal network model, obtaining the purchase quantity and purchase time of each item to be purchased, and determining the purchase strategy based on the supplier set information that meets the purchase quantity and purchase time;

[0075] In this embodiment, the node features and edge features of the space-time graph are used as inputs of the trained space-time network model to obtain the purchase quantity and purchase time of each item to be purchased, including: obtaining the purchase decision influencing factors of different supplier sets based on the purchase time, eliminating the supplier sets whose decision influencing factors do not meet the purchase time, and taking the supplier sets that meet the purchase time as the first choice supplier set.

[0076] In this embodiment, continue to refer to Figure 3 , Figure 3 This is a flow chart of determining a procurement strategy in an embodiment of the present application, wherein the procurement quantity and procurement time of each item to be purchased are obtained based on the node features and edge features of the spatiotemporal graph as the input of the trained spatiotemporal network model, and the procurement strategy is determined based on the supplier set information that meets the procurement quantity and procurement time, and further includes:

[0077] Step 301, when the purchase quantity and purchase time of each item to be purchased are obtained, based on the name information of each item to be purchased, a first preferred supplier set associated with the single item to be purchased is obtained;

[0078] Step 302, evaluating and screening different supplier sets in the first selected supplier set, and obtaining a supplier set that meets preset evaluation indicators as a second supplier set to be selected;

[0079] Step 303, performing cost accounting on different supplier sets in the second supplier set to be selected based on the time series, and obtaining a cost accounting set of the second supplier set to be selected;

[0080] Step 304, by combining and summing the cost data of different sets of items to be purchased in the cost accounting set, a purchase cost set of the entire set of items to be purchased is obtained;

[0081] Step 305, obtaining the lowest purchasing cost data in the purchasing cost set as the hospital purchasing cost, and using the supplier set combination associated with the lowest purchasing cost as the optimal purchasing combination strategy.

[0082] In this embodiment, continue to refer to Figure 4 , Figure 4 This is a schematic diagram of a process for obtaining a second set of suppliers to be selected in an embodiment of the present application, wherein the different sets of suppliers in the first selected set of suppliers are evaluated and screened to obtain a set of suppliers that meet preset evaluation indicators as the second set of suppliers to be selected, including:

[0083] Step 401, based on different characteristics in the first selected supplier set, obtain data information corresponding to the characteristics;

[0084] Step 402, standardizing the data information of the corresponding features so that the data information of the features of different supplier sets have the same scale;

[0085] Step 403, calculating the covariance matrix between features based on the standardized data information of the corresponding features;

[0086] Step 404, performing eigendecomposition on the coordination variance matrix to obtain eigenvectors and eigenvalues;

[0087] Step 405, sorting the eigenvalues ​​in descending order, obtaining the top n principal components, and constructing a principal component space;

[0088] Step 406, converting the original data into the principal component space, obtaining the principal component score as the comprehensive evaluation index of the supplier set; obtaining the comprehensive evaluation scores of different supplier sets based on the principal component analysis results;

[0089] Step 407, comparing the comprehensive evaluation scores of different supplier sets with the preset evaluation index, and obtaining the supplier set that meets the preset evaluation index;

[0090] Step 408: The supplier set that meets the preset evaluation index is used as the second supplier set to be selected.

[0091] Step S6: Based on the real-time monitored change information of the set of items to be purchased, dynamically adjust the purchase strategy to control the purchase cost.

[0092] In this embodiment, the application monitors the change information of the purchased items in real time, including the inventory information of the set of items to be purchased, the change information of the supplier set, and the price information of different supplier sets. The application can obtain demand fluctuation information in a timely manner by monitoring the inventory changes of the set of items to be purchased, and avoid the occurrence of inventory backlogs or insufficient supply caused by demand fluctuations of the set of items to be purchased. At the same time, the application can respond to the risks brought by supply interruptions and price fluctuations of the supplier set by monitoring the information of the supplier set in real time, and adjust the procurement strategy in a timely manner based on the real-time data monitored, such as purchasing quantity and changing the supplier set to improve procurement efficiency and decision-making quality.

[0093] The present application obtains relevant data of the hospital's set of items to be purchased and the set of suppliers, and converts the relevant data into structured data; constructs a space-time graph of the set of items to be purchased and the set of suppliers based on the structured data, wherein the nodes of the space-time graph represent entities, and the edges of the space-time graph represent the relationships between entities; extracts node features and edge features of the space-time graph, embeds time series into the graph node features and edge features, and obtains the influencing factors of time changes on procurement decisions; constructs a space-time graph of historical procurement data, supplier set data, and time series data to train a space-time graph network model, and obtains a trained space-time graph network model; uses the node features and edge features of the space-time graph as input to the trained space-time network model, obtains the purchase quantity and purchase time of each item to be purchased, and determines the procurement strategy based on the supplier set information that meets the purchase quantity and purchase time; dynamically adjusts the procurement strategy to control procurement costs based on the real-time monitored change information of the set of items to be purchased. The present application reduces reliance on manual intervention and improves the efficiency and accuracy of procurement cost decisions.

[0094] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the aforementioned storage medium can be a non-volatile storage medium such as a disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

[0095] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0096] Continue to refer Figure 5 The hospital procurement cost dynamic control system described in this embodiment includes:

[0097] The structured data establishment module 501 is used to obtain the relevant data of the hospital's to-be-purchased items set and the supplier set, and convert the relevant data into structured data;

[0098] A spatiotemporal graph construction module 502, for constructing a spatiotemporal graph of a set of items to be purchased and a set of suppliers based on structured data, wherein nodes of the spatiotemporal graph represent entities, and edges of the spatiotemporal graph represent relationships between entities;

[0099] The node and edge feature extraction module 503 is used to extract node features and edge features of the spatiotemporal graph, embed the time series into the graph node features and edge features, and obtain the influencing factors of time changes on the procurement decision;

[0100] The space-time graph network model training module 504 is used to construct a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtain a trained space-time graph network model;

[0101] The procurement cost control module 505 is used to use the node features and edge features of the spatiotemporal graph as the input of the trained spatiotemporal network model, obtain the purchase quantity and purchase time of each item to be purchased, and determine the procurement strategy based on the supplier set information that meets the purchase quantity and purchase time;

[0102] The dynamic adjustment module 506 is used to dynamically adjust the procurement strategy to control the procurement cost based on the real-time monitored change information of the set of items to be purchased.

[0103] To solve the above technical problems, the present application also provides a computer device. Figure 6 , Figure 6 This is a basic structural block diagram of the computer device in this embodiment.

[0104] The computer device 6 includes a memory 6a, a processor 6b, and a network interface 6c that are interconnected through a system bus. It should be noted that the figure only shows a computer device 6 with components 6a-6c, but it should be understood that it is not required to implement all the components shown, and more or fewer components can be implemented instead. Among them, those skilled in the art can understand that the computer device here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to microprocessors, application specific integrated circuits (Application Specific Integrated Circuit, ASIC), programmable gate arrays (Field-Programmable Gate Array, FPGA), digital processors (Digital Signal Processor, DSP), embedded devices, etc.

[0105] The computer device may be a computing device such as a desktop computer, a notebook, a PDA, a cloud server, etc. The computer device may interact with a user through a keyboard, a mouse, a remote controller, a touch pad, or a voice control device.

[0106] The memory 6a includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 6a can be an internal storage unit of the computer device 6, such as a hard disk or memory of the computer device 6. In other embodiments, the memory 6a can also be an external storage device of the computer device 6, such as a plug-in hard disk equipped on the computer device 6, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. Of course, the memory 6a can also include both the internal storage unit of the computer device 6 and its external storage device. In this embodiment, the memory 6a is usually used to store the operating system and various application software installed on the computer device 6, such as the program code of the hospital procurement cost dynamic control method, etc. In addition, the memory 6a can also be used to temporarily store various types of data that have been output or are to be output.

[0107] The processor 6b may be a central processing unit (CPU), a controller, a microcontroller, a microprocessor, or other data processing chips in some embodiments. The processor 6b is generally used to control the overall operation of the computer device 6. In this embodiment, the processor 6b is used to run the program code stored in the memory 6a or process data, such as running the program code of the hospital procurement cost dynamic control method.

[0108] The network interface 6c may include a wireless network interface or a wired network interface. The network interface 6c is generally used to establish a communication connection between the computer device 6 and other electronic devices.

[0109] The present application also provides another implementation, namely, providing a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a program of a hospital procurement cost dynamic control method, and the hospital procurement cost dynamic control can be executed by at least one processor so that the at least one processor executes the steps of the hospital procurement cost dynamic control method as described above.

[0110] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in each embodiment of the present application.

[0111] Obviously, the embodiments described above are only some embodiments of the present application, rather than all embodiments. The preferred embodiments of the present application are given in the accompanying drawings, but they do not limit the patent scope of the present application. The present application can be implemented in many different forms. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present application more thorough and comprehensive. Although the present application is described in detail with reference to the aforementioned embodiments, for those skilled in the art, it is still possible to modify the technical solutions recorded in the aforementioned specific implementation methods, or to perform equivalent replacement of some of the technical features therein. Any equivalent structure made using the contents of the specification and drawings of this application, directly or indirectly used in other related technical fields, is similarly within the scope of patent protection of this application.

Claims

1. A hospital procurement cost dynamic control method, characterized in that: include: Obtain relevant data on the hospital's set of items to be purchased and the set of suppliers, and convert the relevant data into structured data; Based on structured data, a spatiotemporal graph of the set of items to be purchased and the set of suppliers is constructed, where the nodes of the spatiotemporal graph represent entities, and the edges of the spatiotemporal graph represent the relationships between entities; Extract node features and edge features of the spatiotemporal graph, embed time series into the graph node features and edge features, and obtain the influencing factors of time changes on procurement decisions; Construct a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtain the trained space-time graph network model; The node features and edge features of the spatiotemporal graph are used as inputs to the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and the purchase strategy is determined based on the supplier set information that meets the purchase quantity and purchase time. Based on the real-time monitoring of changes in the set of items to be purchased, the procurement strategy is dynamically adjusted to control procurement costs.

2. The hospital procurement cost dynamic control method according to claim 1 is characterized in that: The space-time graph of the set of items to be purchased and the set of suppliers is constructed based on structured data, wherein the nodes of the space-time graph represent entities, and the edges of the space-time graph represent the relationships between entities, wherein the set of items to be purchased and the set of suppliers are entities, and the purchasing relationships between the set of items to be purchased and the set of suppliers are edges.

3. The hospital procurement cost dynamic control method according to claim 1 is characterized in that: The node features and edge features of the spatiotemporal graph are extracted, wherein the node features include: features of the set of items to be purchased and features of the set of suppliers, and the edge features include: supply chain relationships and time series features.

4. The hospital procurement cost dynamic control method according to claim 3 is characterized in that: The characteristics of the set of items to be purchased include: the types, specifications and historical demand of the set of items to be purchased; the characteristics of the supplier set include: the financial data of the supplier set, the production data of the supplier set, the delivery data of the supplier set, the compliance of the supplier set, and the credibility of the supplier set; the supply chain relationship represents the supply chain relationship between the set of items to be purchased and the supplier set, and the time series characteristics represent the demand changes of the set of items to be purchased and the price fluctuations of the supplier set.

5. The hospital procurement cost dynamic control method according to claim 1 is characterized in that: The node features and edge features of the spatiotemporal graph are used as inputs of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, including: Based on the procurement time, the procurement decision influencing factors of different supplier sets are obtained, the supplier sets whose decision influencing factors do not meet the procurement time are eliminated, and the supplier sets that meet the procurement time are taken as the first choice supplier set.

6. The hospital procurement cost dynamic control method according to claim 5 is characterized in that: The method uses the node features and edge features of the spatiotemporal graph as inputs of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and dynamically adjusts the purchase strategy to control the purchase cost based on the supplier set information that meets the purchase quantity and purchase time, including: When the purchase quantity and purchase time of each item to be purchased are obtained, based on the name information of each item to be purchased, a first-choice supplier set associated with the single item to be purchased is obtained; Evaluate and screen different supplier sets in the first selected supplier set, and obtain a supplier set that meets the preset evaluation index as the second supplier set to be selected; Perform cost accounting on different supplier sets in the second supplier set to be selected based on the time series to obtain a cost accounting set of the second supplier set to be selected; By combining and summing the cost data of different sets of items to be purchased in the cost accounting set, the purchase cost set of the entire set of items to be purchased is obtained; The lowest procurement cost data in the procurement cost set is obtained as the hospital procurement cost, and the supplier set combination associated with the lowest procurement cost is used as the optimal procurement combination strategy.

7. The hospital procurement cost dynamic control method according to claim 6 is characterized in that: The evaluating and screening different supplier sets in the first selected supplier set to obtain a supplier set that meets preset evaluation indicators as the second supplier set to be selected includes: Based on different characteristics in the first-choice supplier set, obtaining data information of corresponding characteristics; Standardize the data information of corresponding characteristics so that the data information of characteristics of different supplier sets have the same scale; Calculate the covariance matrix between features based on the standardized data information of the corresponding features; Perform eigendecomposition on the coordination variance matrix to obtain eigenvectors and eigenvalues; Sort the eigenvalues ​​in descending order, obtain the top n principal components, and construct the principal component space; Convert the original data into the principal component space and obtain the principal component score as the comprehensive evaluation index of the supplier set; obtain the comprehensive evaluation scores of different supplier sets based on the principal component analysis results; Compare the comprehensive evaluation scores of different supplier sets with the preset evaluation indicators to obtain the supplier set that meets the preset evaluation indicators; The supplier set that meets the preset evaluation indicators will be used as the second supplier set to be selected.

8. A hospital procurement cost dynamic control system, used to implement the hospital procurement cost dynamic control method of claims 1-7, characterized in that: include: A structured data building module is used to obtain relevant data of the hospital's set of items to be purchased and the set of suppliers, and convert the relevant data into structured data; A spatiotemporal graph construction module is used to construct a spatiotemporal graph of a set of items to be purchased and a set of suppliers based on structured data, wherein the nodes of the spatiotemporal graph represent entities, and the edges of the spatiotemporal graph represent the relationships between entities; The node and edge feature extraction module is used to extract node features and edge features of the spatiotemporal graph, embed the time series into the graph node features and edge features, and obtain the influencing factors of time changes on procurement decisions; The space-time graph network model training module is used to build a space-time graph training space-time graph network model of historical procurement data, supplier set data and time series data, and obtain the trained space-time graph network model; The procurement cost control module is used to use the node features and edge features of the spatiotemporal graph as the input of the trained spatiotemporal network model to obtain the purchase quantity and purchase time of each item to be purchased, and determine the procurement strategy based on the supplier set information that meets the purchase quantity and purchase time; The dynamic adjustment module is used to dynamically adjust the procurement strategy and control the procurement cost based on the real-time monitoring of the change information of the set of items to be purchased.

9. An electronic device, characterized in that: include: one or more processors; Memory; And one or more computer programs, wherein the one or more computer programs are stored in the memory, and the one or more computer programs include instructions, which, when executed by the device, enable the device to perform the steps of the hospital procurement cost dynamic control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed on a computer, enables the computer to execute the steps of the method for dynamically controlling hospital procurement costs as described in any one of claims 1 to 7.

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