Multi-objective optimization-based medical resource intelligent management system and method

Abstract

The invention relates to the technical field of medical resource management, and discloses a medical co-body medical resource intelligent management system and method based on multi-objective optimization, and the system comprises a medical patient information collection module, a medical co-body object search module, and a medical subject object positioning module. On the basis of the patient medical article demand feature information, the patient medical article demand time information and the cross-regional medical article medical subject idle medical article feature information, medical subject objects needed by medical subject internal patients in other geographic regions are recognized; cross-regional intelligent planning of the medical resources required by the patient and scientific positioning of the cross-regional medical resources are realized; based on the patient position, the medical article demand feature and the time information multi-target parameter, the medical resource of the medical co-body is accurately dispatched in a cross-regional mode, the optimal medical resource of the medical co-body is scientifically screened based on multi-target optimization, and the quality of medical resource management of the medical co-body is improved.

Description

Intelligent Management System and Method for Medical Resources in Medical Consortia Based on Multi-Objective Optimization Technical Field

[0001] This invention relates to the technical field of medical resource management, specifically to an intelligent management system and method for medical resources in a medical consortium based on multi-objective optimization. Background Technology

[0002] A medical consortium is a healthcare community; it's a hierarchical medical system formed by integrating county and township medical and health resources, with county-level hospitals as the leading institutions. Through unified management, it achieves resource sharing and technology transfer, establishing a mechanism for primary care and two-way referrals. Based on the operational practice of medical consortia, medical resources mainly include five core elements: personnel, materials, finance, technology, and information. Specific classifications and integration methods within the medical consortium are as follows: **Human Resources:** Core components: Medical staff, public health personnel, management and logistical support personnel. **Characteristics of Medical Consortium Integration:** Unified scheduling: County-level experts provide consultations at the grassroots level, and grassroots personnel receive rotational training and further education. **Standardized Training:** County-level hospitals conduct standardized skills training for township / village doctors. **Material Resources:** Core components: **Medical Equipment:** CT scanners, DR systems, ultrasound machines, testing equipment, etc.; **Infrastructure:** Wards, operating rooms, pharmacies, sterilization supply rooms, etc.; **Medicines and Consumables:** Essential medicines, high-value consumables, reagents, etc. Features of medical consortium integration: Shared center: Establish five major centers including county-level testing and imaging, with township-level imaging and county-level diagnosis; Unified procurement and distribution: Centralized bulk procurement of medicines and consumables, and integrated distribution from county to township; The existing medical resource management process of medical consortia cannot achieve multi-level optimization search of medical resources within and between medical consortia based on patient needs, nor can it analyze the optimal medical entity based on patient location.

[0003] Chinese invention patent CN114400081B, published on October 29, 2024, discloses a method and system for managing medical resources. This method involves writing biometric data and medical tissue data of a specific individual into a blockchain and uploading it to a blockchain server. Upon receiving a request for medical parole from a specific individual, the system pre-judges the individual's condition based on relevant data collected before the request was submitted and the most recently uploaded data to the blockchain server. If the pre-judge indicates the individual does not meet the application requirements, the request is rejected. If the pre-judge indicates the individual meets the application requirements, the relevant application materials are forwarded to manual review. Each data submission for medical parole is recorded as a block on the blockchain, and each submission is timestamped and recorded in the blockchain system. However, this technical solution cannot achieve the scientific identification of the medical entity required for a specific individual. Summary of the Invention

[0004] (I) Technical problems to be solved: To address the existing medical resource management process of medical consortia, which cannot achieve multi-level optimization search of medical resources within and between medical consortia based on patient needs, nor can it analyze the optimal medical entity based on patient location, the goal is to achieve the following: real-time collection of patient current location information, accurate collection of patient medical item demand characteristics and patient medical item demand time information, efficient cross-regional search of the medical consortia required by patients, intelligent analysis of the optimal medical entity in the patient's medical consortium, and intelligent management of cross-regional medical resources with multi-objective optimization.

[0005] (II) Technical Solution This invention is implemented through the following technical solution: a multi-objective optimization-based intelligent management method for medical resources in a medical consortium, comprising the following steps: S1. Collecting patient current location information, patient medical item demand characteristic information, and patient medical item demand time information respectively; identifying medical consortium object information in the patient's geographical area based on the patient's location information to obtain target medical consortium characteristic information; S2. Collecting idle medical item information of medical entities within the medical consortium in the patient's geographical area to generate idle medical item characteristic information of the target medical consortium; judging and processing the availability status of medical resources in the medical consortium in the patient's geographical area to obtain the availability status of medical resources in the target medical consortium. Analyze the information; when available, directly execute step S4; S3, when unavailable, collect information on idle medical supplies of medical entities within medical consortia in other geographical regions, and generate characteristic information of idle medical supplies of medical entities in cross-regional medical consortia; identify and process the medical entity objects required by patients within medical consortia in other geographical regions to obtain cross-regional medical consortia medical entity identification information, and collect cross-regional medical consortia medical entity location information; S4, filter and process the optimal medical consortia medical entity objects required by patients to obtain optimal medical consortia medical entity identification information; collect the characteristic information of optimal medical consortia medical entities, construct the medical consortia medical resource scheduling result information, and execute the medical consortia medical resource scheduling result feedback operation.

[0006] Preferably, the following steps are taken to collect patient current location information, patient medical supply demand characteristic information, and patient medical supply demand time information respectively; based on the patient location information, identify the medical consortium object information of the patient's geographical area to obtain the target medical consortium characteristic information: S11, collect the real-time location text information of the specific medical entities in the medical consortium where the patient is located online through the medical digital management platform, and generate the patient's current location information, which includes the patient's current location longitude, latitude, and altitude; the medical digital management platform includes any one of the following: a resource coordination and management platform, a data integration and decision-making center, and a hierarchical diagnosis and treatment collaboration platform; collect patient current location information online through the medical digital management platform. The system generates characteristic text information of the required medical supplies and specific usage time text information of the required medical supplies, and generates patient medical supply demand characteristic information and patient medical supply demand time information, respectively. The patient medical supply demand characteristic information includes product specification model text information and product quantity text information of the medical supplies. The patient medical supply demand time information includes the time point text information or time period text information of the medical supplies being used. The medical supplies include: CT, DR, ultrasound machine, testing equipment, drugs, high-value consumables and reagents; S12, based on the patient's current location information and the medical consortium spatial location information database matrix, the system performs medical consortium object identification processing in the geographical area where the patient is located to obtain target medical consortium characteristic information.

[0007] Preferably, the steps for identifying medical consortium objects in the patient's geographical area based on the patient's current location information and the medical consortium spatial location information database matrix to obtain target medical consortium feature information are as follows: S121, Establishing the medical consortium spatial location information database matrix ,in Indicates the establishment of the first within the Chinese region A spatial location information database for each medical community; the spatial location information database represents a database of spatial coordinates of the geographical area covered by a specific medical community; ,in The spatial location information database of the medical consortium The Middle The spatial location information of the medical consortium corresponding to each geographical location node includes the longitude, latitude, and altitude of the geographical location node; S122, the patient's current location information is compared with the spatial location information database matrix of the medical consortium. The internal medical consortium spatial location information database Spatial location information of the medical consortium described in the text Location information matching is performed to search the medical consortium's spatial location information database that matches the patient's current location information. The corresponding medical community identity number feature text information is used to construct the target medical community feature information.

[0008] Preferably, information on idle medical supplies of medical entities within the medical consortium in the patient's geographical area is collected to generate idle medical supply feature information of the target medical consortium; the availability status of medical resources in the medical consortium in the patient's geographical area is judged and processed to obtain the availability status analysis information of the target medical consortium; when available, step S4 is directly executed. The operation steps are as follows: S21, based on the target medical consortium feature information, information on idle medical supplies of medical entities within the medical consortium in the patient's geographical area is collected and processed to generate a set of idle medical supply feature information of the target medical consortium; S22, based on the patient's medical supply demand feature information, the patient's medical supply demand time information, and the set of idle medical supply feature information of the target medical consortium, the availability status of medical resources in the medical consortium in the patient's geographical area is judged and processed to obtain the availability status analysis information of the target medical consortium; the availability status analysis information of the target medical consortium includes available and unavailable; when the availability status analysis information of the target medical consortium is available, step S4 is directly executed.

[0009] Preferably, the steps for collecting and processing information on idle medical supplies of medical entities within the target medical consortium in the patient's geographical area based on the target medical consortium feature information to generate a feature information set of idle medical supplies of medical entities within the target medical consortium are as follows: S211. Using a bidirectional search algorithm, the medical digital management platform searches for the feature text information of idle medical supplies of all medical entities within the target medical consortium based on the medical consortium identity number feature text information corresponding to the target medical consortium feature information, and generates a feature information set of idle medical supplies of medical entities within the target medical consortium. ,in Indicates the first [item] within the target medical community for data collection. The idle medical supplies feature information of the target medical consortium corresponding to each medical entity includes the specifications, models, remaining quantity, and unbooked usage time or time period of the medical supplies that are not booked for use by the specific medical entity within the target medical consortium; wherein the medical entities include county-level hospitals, township health centers and village clinics in the medical consortium.

[0010] Preferably, the availability status of medical resources in the patient's geographical area is determined by comparing the patient's medical item demand characteristic information, the patient's medical item demand time information, and the target medical consortium's idle medical item characteristic information set, to obtain target medical consortium medical resource availability status analysis information; the target medical consortium medical resource availability status analysis information includes available and unavailable; when the target medical consortium medical resource availability status analysis information is available, the operation steps of step S4 are directly executed as follows: S221, compare the patient's medical item demand characteristic information, the patient's medical item demand time information, and the target medical consortium's idle medical item characteristic information set. The target medical consortium's idle medical supplies feature information The specific steps for generating the target medical consortium's medical resource availability status analysis information are as follows: S2211, Initialization: In the target medical consortium's medical entity idle medical item feature information set... Initialize in the search space Each medical subject selection particle initializes the following attributes: The first... The location of the particle is selected by the individual medical entity: ,;No. The velocity of the particles selected by each medical subject: ;No. The optimal position that a medical entity chooses the particle to pass through is: The optimal position traversed by the particle swarm throughout the entire medical system: Add an upper limit to the position of particles selected by all medical entities: ;in and and respectively represent the medical subject's selection of particles in the target medical consortium's idle medical item feature information set. The upper and lower boundaries of the position in the search space; a constraint is imposed on the velocity of the particles selected by all medical entities: ;in and and respectively represent the medical subject's selection of particles in the target medical consortium's idle medical item feature information set. Upper and lower bounds of velocity in the search space; set the maximum number of iterations. During each iteration, a feature information set of idle medical items for the target medical consortium is set. The self-learning factors of medical subjects in the search space ,in This is used to adjust the selection of particles in the target medical consortium's idle medical item feature information set. The degree to which the step size of each movement in the search space is affected by self-influence; during each iteration, the characteristic information set of idle medical items of the target medical consortium is set. The group learning factor of medical subjects selecting particles in the search space ,in This is used to adjust the selection of particles in the target medical consortium's idle medical item feature information set. The degree to which the step size of each movement in the search space is affected by the group; during each iteration, a set of characteristic information of idle medical items of the target medical consortium is set. The inertial weights of particles selected by medical subjects in the search space ;in This indicates that the search particles are located within the target medical consortium's set of idle medical item feature information. The ability to inherit the velocity from the previous moment in the search space; S2212, calculate the fitness value of the selected particles by the medical subject: in the target medical consortium medical subject idle medical item feature information set Calculate the first in the search space The target medical consortium's idle medical item feature information is randomly selected by the particle selection. The fitness values ​​of the patient's medical supply demand characteristics and the patient's medical supply demand time information; S2213, update the individual extreme values ​​and global optimal solutions of the selected particles of the medical subject: in the target medical consortium medical subject idle medical supply characteristic information set Update the search space The optimal fitness value of individual particles selected by a medical entity. The optimal fitness value of the overall particle population is selected by the medical subject. ; and then according to The target medical consortium's idle medical item feature information set Update the optimal position of the medical subject selection particle in the search space. Then from these optimal positions The optimal position of a group is found by searching within the search, and the optimal position is set. The identifier is the globally optimal position for this iteration; S2214, update the medical subject selection particle individual in the target medical consortium's idle medical item feature information set. Velocity and position in the search space: The update formula is as follows: ; ;in Indicates the first Each medical entity selects particle search to find the target medical consortium's available medical item feature information that best matches the patient's medical item demand feature information and the patient's medical item demand time information. The target medical consortium's idle medical item feature information set The latest position after the update and iteration in the search space; Indicates the first Each medical entity selects particle search to find the target medical consortium's available medical item feature information that best matches the patient's medical item demand feature information and the patient's medical item demand time information. The latest speed after updating and iterating in the search space of the idle medical item feature information set c of the target medical consortium; This represents a random number function that takes values ​​in the interval [0,1]; if during the iteration process, the... The location of the particle is selected by the individual medical entity. Exceeding the boundary Then the medical entity selects the particle Adjusted to or ;No. The speed at which a medical entity selects particles. Exceeding the boundary Then the medical entity selects the particle Adjusted to or S2215. Set termination condition: when the maximum number of iterations is met. At that time, based on the patient's medical item demand characteristic information, the patient's medical item demand time information, and the target medical consortium's idle medical item characteristic information... The matching results of medical item feature information are used to generate analysis information on the availability status of medical resources in the target medical consortium; when the patient's medical item demand feature information and the patient's medical item demand time information match the idle medical item feature information of the target medical consortium's medical entities... If the matching of medical item feature information is successful, it indicates that there is a medical entity within the medical community at the patient's current location that can meet the patient's medical item needs. Therefore, the availability status analysis information of the target medical community's medical resources is output as available. Simultaneously, the idle medical item feature information of the target medical community's medical entity that best matches the patient's medical item need feature information and the patient's medical item need time information is output. The corresponding medical entity identification number feature text information is used to construct the target medical consortium medical entity identification information. At this point, step S4 is executed directly; when the patient's medical item demand feature information, the patient's medical item demand time information, and the target medical consortium medical entity's idle medical item feature information are... If no matching of medical item feature information is found, it means that there is no medical entity within the medical community at the patient's current location that meets the patient's medical item needs. In this case, the output of the target medical community's medical resource availability status analysis information is "unavailable".

[0011] Preferably, when unavailable, information on idle medical supplies of medical entities within medical consortia in other geographical regions is collected to generate cross-regional medical consortia idle medical supply feature information; the identification and processing of medical entity objects required by patients within medical consortia in other geographical regions is performed to obtain cross-regional medical consortia medical entity identification information; the operation steps for collecting cross-regional medical consortia medical entity location information are as follows: S31, when the target medical consortium medical resource availability status analysis information is unavailable, a unified cost search algorithm is used on the medical digital management platform based on the medical consortium spatial location information database matrix. The medical consortium spatial location information database mentioned in the text The textual information of the medical community identity number corresponding to the target medical community feature information is used to search for the textual information of idle medical items of all medical entities within all other medical communities, excluding the medical community corresponding to the target medical community feature information. A cross-regional medical community medical entity idle medical item feature information matrix is ​​then constructed. ,in Indicates the first A database of idle medical supplies characteristics of cross-regional medical entities corresponding to each cross-regional medical community. < ;in ,in This represents the database of idle medical supplies characteristics of the cross-regional medical consortium. The Middle S32. Based on the patient's medical item demand characteristic information, the patient's medical item demand time information, and the cross-regional medical consortium medical item idle medical item characteristic information database matrix, the medical item object required by patients in other geographical regions within the medical consortium is identified to obtain a cross-regional medical consortium medical item identification information set; based on the cross-regional medical consortium medical item identification information set, the spatial location collection and processing of the medical items required by patients in other geographical regions within the medical consortium is performed to generate a cross-regional medical consortium medical item location information set.

[0012] Preferably, based on the patient's medical item demand characteristic information, the patient's medical item demand time information, and the cross-regional medical consortium medical entity idle medical item characteristic information database matrix, the medical entity object required by patients within the medical consortium in other geographical regions is identified to obtain a cross-regional medical consortium medical entity identification information set; the operation steps for collecting and processing the spatial location of the medical entities required by patients within the medical consortium in other geographical regions according to the cross-regional medical consortium medical entity identification information set to generate a cross-regional medical consortium medical entity location information set are as follows: S321, using the Sorensen-Morris-Pratt text search algorithm to collect the patient's medical item demand characteristic information, the patient's medical item demand time information, and the cross-regional medical consortium medical entity idle medical item characteristic information database matrix. The internal database of idle medical supplies characteristics of cross-regional medical consortium entities The information on the characteristics of idle medical supplies of cross-regional medical consortium medical entities described in the article Successful matching of medical item feature information; idle medical item feature information database of each cross-regional medical consortium entity. The search retrieves the idle medical item feature information of the cross-regional medical consortium medical entity that best matches the patient's medical item demand feature information and the patient's medical item demand time information. The corresponding medical entity identification number feature text information is used to construct a cross-regional medical consortium medical entity identification information set. ,in Indicates the first S322, Collect the cross-regional medical entity identification information required by the patient in the cross-regional medical community; The cross-regional medical consortium medical entity identification information described in the article Inputting data into the medical digital management platform, the platform searches for the spatial location information of the medical entities needed by patients within a cross-regional medical consortium based on the textual information of the medical entity's identification number, and generates a cross-regional medical consortium medical entity location information set. ,in This indicates the identification information of the medical entities in the cross-regional medical consortium. The corresponding location information of the cross-regional medical consortium medical entities; the location information of the cross-regional medical consortium medical entities includes the longitude, latitude and altitude of the geographical location of the cross-regional medical consortium medical entities.

[0013] Preferably, the steps for screening and processing the optimal medical entity in the medical consortium required by the patient to obtain the optimal medical entity identification information, collecting the characteristic information of the optimal medical entity, constructing the medical resource scheduling result information of the medical consortium, and executing the medical resource scheduling result feedback operation are as follows: S41, when the availability status analysis information of the target medical consortium medical resources is available, the target medical entity identification information generated in step S221 is directly used to generate the optimal medical entity identification information of the medical consortium after data identification; when the availability status analysis information of the target medical consortium medical resources is unavailable, based on the patient's current location information and the cross-regional medical consortium medical entity location information set... Location information of cross-regional medical consortium medical entities as described in the article By combining the spatial straight-line distance formula, the spatial distance between the patient and the medical entities required by the cross-regional medical consortium is measured, resulting in the distance set between the patient and the medical entities of the cross-regional medical consortium. ,in Indicates the patient and the first In a cross-regional medical community, the distance between the patient and the cross-regional medical community medical entity required by the patient is calculated; the generated set of distances between the patient and the cross-regional medical community medical entity is then processed. The distance between the patient and the medical entity of the cross-regional medical consortium mentioned in the text Spacing numerical analysis was performed on the cross-regional medical consortium medical entity identification information set. The search identifies the patient with the smallest distance value from the cross-regional medical consortium entity. The cross-regional medical consortium medical entity identification information that matches the medical entity's identity number. S42. Based on the medical entity identification number characteristics corresponding to the optimal medical entity identification information, the medical digital management platform is searched for the name, geographical location, and institutional qualification text information of the specific medical entities within the medical community, and the optimal medical entity characteristic information is generated; S43. The patient's medical item demand characteristic information, the patient's medical item demand time information, and the optimal medical entity characteristic information are combined to construct the medical resource scheduling result information of the medical community; S44. The generated medical resource scheduling result information of the medical community is transmitted to the medical digital management platform through the Internet of Things communication network and pushed to medical staff on the display screen for feedback of the medical resource scheduling result of the medical community.

[0014] A multi-objective optimization-based intelligent management system for medical resources within a medical consortium is provided to implement the aforementioned intelligent management method for medical resources within a medical consortium. The system includes a patient information collection module, a medical consortium object search module, and a medical subject object positioning module. The patient information collection module includes a patient current location acquisition unit, a patient medical item demand information acquisition unit, and a patient medical item demand time acquisition unit. The patient current location acquisition unit collects patient current location information through a medical digital management platform. The patient medical item demand information acquisition unit collects patient medical item demand characteristic information through the medical digital management platform. The patient medical item demand time acquisition unit collects patient current location information through the medical digital management platform. The system includes: medical supply demand time information; the medical consortium object search module comprising: a medical consortium spatial location information database storage unit; a current location medical consortium identification unit; a current location medical consortium medical entity idle medical supply feature information collection unit; a current location medical consortium medical resource availability status judgment unit; a cross-regional medical consortium medical entity idle medical supply feature information collection unit; a patient-required cross-regional medical consortium medical entity identification unit; a patient-required cross-regional medical consortium medical entity location information collection unit; and an optimal medical consortium medical entity identification unit. The medical consortium spatial location information database storage unit stores the medical consortium spatial location information database. The current location medical consortium identification unit performs patient-required location search based on the patient's current location information and the medical consortium spatial location information database. The system first identifies and processes the medical consortium in the patient's geographical area to obtain target medical consortium feature information. Then, the unit collecting idle medical supplies feature information of the medical consortium's medical entities at the current location collects and processes idle medical supplies information of the medical entities within the medical consortium in the patient's geographical area based on the target medical consortium feature information and in conjunction with the medical digital management platform, generating idle medical supplies feature information of the target medical consortium's medical entities. Finally, the unit determining the availability of medical resources in the medical consortium at the current location determines the availability of medical resources in the medical consortium in the patient's geographical area based on the patient's medical supplies demand feature information, the patient's medical supplies demand time information, and the idle medical supplies feature information of the target medical consortium's medical entities, obtaining the target medical consortium's medical resources availability information. The system analyzes the availability of medical supplies. The cross-regional medical consortium's idle medical supplies feature information collection unit, based on the medical consortium's spatial location information database, the target medical consortium's feature information, and in conjunction with the medical digital management platform, collects and processes idle medical supplies information of medical entities within medical consortia in other geographical regions, generating cross-regional medical consortium idle medical supplies feature information. The patient-required cross-regional medical consortium medical entity identification unit, based on the patient's medical supplies demand feature information, the patient's medical supplies demand time information, and the cross-regional medical consortium's idle medical supplies feature information, identifies the medical entities required by patients within medical consortia in other geographical regions, obtaining cross-regional medical consortium medical entity identification information.The patient-required cross-regional medical consortium location information collection unit collects and processes the spatial location of the patient-required medical entities within other geographical regions' medical consortia based on the cross-regional medical consortium medical entity identification information and in conjunction with the medical digital management platform, generating cross-regional medical consortium medical entity location information. The optimal medical consortium medical entity identification unit, based on the generated target medical consortium medical resource availability status analysis information, the target medical consortium medical entity identification information, the patient's current location information, the cross-regional medical consortium medical entity location information, and the cross-regional medical consortium medical entity identification information, performs optimal medical consortium medical entity object filtering processing to obtain optimal medical consortium medical entity identification information. The medical entity object positioning module includes the optimal medical consortium medical entity... The system comprises three components: a subject identification information collection unit, a medical consortium medical resource scheduling result generation unit, and a medical consortium medical resource scheduling result feedback unit. The optimal medical consortium medical subject identification information collection unit collects optimal medical consortium medical subject characteristic information based on the optimal medical consortium medical subject identification information and in conjunction with the medical digital management platform. The medical consortium medical resource scheduling result generation unit constructs medical consortium medical resource scheduling result information based on the patient's medical item demand characteristic information, the patient's medical item demand time information, and the optimal medical consortium medical subject characteristic information, combined with data processing. The medical consortium medical resource scheduling result feedback unit performs the medical consortium medical resource scheduling result feedback operation based on the medical consortium medical resource scheduling result information and in conjunction with the medical digital management platform and display screen.

[0015] (III) Beneficial Effects This invention provides an intelligent management system and method for medical resources within a medical consortium based on multi-objective optimization. It possesses the following beneficial effects: 1. By efficiently and reliably collecting data on the patient's geographical location, medical supply demand characteristics, and the timing of medical supply demand through a medical digital management platform, it achieves precise scheduling of medical resources within the medical consortium based on multi-objective parameters of patient location, medical supply demand characteristics, and time information, thus realizing intelligent management of medical resources within the medical consortium based on multi-objective optimization.

[0016] II. By combining patient current location information with numerical analysis and a medical consortium spatial location information database based on big data storage, autonomous location identification of medical consortium objects in the patient's geographical area is achieved, enabling accurate location of medical consortium objects based on patient location; the medical digital management platform efficiently collects medical resources in the medical consortium in the patient's geographical area, and intelligently judges the availability status of medical resources in the target medical consortium based on the patient's medical resource needs, achieving accurate and efficient assessment of whether the medical resources in the medical consortium in the patient's geographical area meet the patient's needs, improving the scientific nature of medical resource scheduling; based on the medical consortium spatial location information database, target medical consortium feature information, and combined with the medical digital management platform, information on idle medical supplies of medical entities within medical consortia in other geographical areas is efficiently collected; This system identifies the medical entities needed by patients within medical consortia in other geographical regions by combining information on patient medical supply demand characteristics, patient medical supply demand time information, and idle medical supply characteristics of medical entities within cross-regional medical consortia. It also collects and processes the spatial locations of these medical entities within medical consortia in other geographical regions using a medical digital management platform. This enables intelligent cross-regional planning of medical resources needed by patients within medical consortia and scientific location of these resources, improving the flexibility and applicability of medical resource scheduling. Furthermore, based on multi-objective parameters including patient location, medical supply demand characteristics, and time information, it accurately schedules medical resources across regions, achieving multi-objective optimization and scientific selection of optimal medical resources, thus improving the quality of medical resource management within medical consortia.

[0017] Third, by accurately identifying the characteristics of the optimal medical entity within the medical consortium based on the optimal medical entity identification information and combined with the medical digital management platform, the system achieves accurate feedback of the optimal medical entity characteristics based on multi-objective optimization, thereby improving the reliability of medical resource scheduling within the medical consortium. Based on patient medical supply demand characteristics, patient medical supply demand time information, and optimal medical entity characteristics, and combined with data processing, the system scientifically and promptly constructs medical resource scheduling results information for the medical consortium, enabling the safe and efficient collection of medical resource scheduling information. Simultaneously, by combining the medical digital management platform and display screen for intuitive and visual feedback of medical resource scheduling results, the system improves the response rate and security of medical resource scheduling within the medical consortium. Attached Figure Description

[0018] Figure 1 is a schematic diagram of the modules of the intelligent management system for medical resources in a medical consortium based on multi-objective optimization provided by the present invention; Figure 2 is a flowchart of the intelligent management method for medical resources in a medical consortium based on multi-objective optimization provided by the present invention. Detailed Implementation

[0019] 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 without creative effort are within the scope of protection of the present invention.

[0020] The following is an embodiment of the intelligent management system and method for medical resources in a medical consortium based on multi-objective optimization: Embodiment 1

[0021] Please refer to Figures 1-2. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization includes the following steps: S1. Collect the patient's current location information, the patient's medical supply demand characteristics, and the patient's medical supply demand time information; based on the patient's location information, identify the medical consortium object information in the patient's geographical area to obtain target medical consortium characteristic information; S2. Collect the idle medical supply information of medical entities within the medical consortium in the patient's geographical area to generate idle medical supply characteristic information for the target medical consortium; process the availability status of medical resources in the medical consortium in the patient's geographical area to obtain target medical consortium medical resource availability status analysis information; when available... When the condition is unavailable, proceed directly to step S4; S3, when unavailable, collect information on idle medical supplies of medical entities within medical consortia in other geographical regions, and generate characteristic information of idle medical supplies of medical entities in cross-regional medical consortia; identify and process the medical entity objects required by patients within medical consortia in other geographical regions to obtain cross-regional medical consortia medical entity identification information, and collect cross-regional medical consortia medical entity location information; S4, filter and process the optimal medical consortia medical entity objects required by patients to obtain optimal medical consortia medical entity identification information; collect the characteristic information of optimal medical consortia medical entities, construct medical consortia medical resource scheduling result information, and execute the medical consortia medical resource scheduling result feedback operation.

[0022] Further, please refer to Figures 1-2. The steps for collecting patient current location information, patient medical supply demand characteristics, and patient medical supply demand time information are as follows: Based on the patient location information, the steps for identifying the medical consortium object information in the patient's geographical area and obtaining the target medical consortium characteristic information are as follows: S11. Collect real-time location text information of specific medical entities within the medical consortium where the patient is located online through the medical digital management platform, and generate the patient's current location information, including the patient's current longitude, latitude, and altitude. The medical digital management platform includes any one of the following: a resource coordination and management platform, a data integration and decision-making center, or a hierarchical diagnosis and treatment collaboration platform. The steps for online collection of patient information through the medical digital management platform are as follows: Collect characteristic text information of medical supplies needed for patient diagnosis and treatment and text information of the specific usage time of the required medical supplies, and generate patient medical supply demand characteristic information and patient medical supply demand time information respectively. Patient medical supply demand characteristic information includes product specification model text information and product quantity text information of medical supplies. Patient medical supply demand time information includes the time point text information or time period text information of medical supply usage. Among them, medical supplies include: CT, DR, ultrasound machine, testing equipment, drugs, high-value consumables and reagents; S12, based on the patient's current location information and the medical consortium spatial location information database matrix, perform medical consortium object identification processing in the geographical area where the patient is located to obtain target medical consortium characteristic information.

[0023] The steps for identifying medical consortium objects in the patient's geographical area based on the patient's current location information and the medical consortium spatial location information database matrix, and obtaining the target medical consortium feature information, are as follows: S121, Establish the medical consortium spatial location information database matrix. ,in Indicates the establishment of the first within the Chinese region A spatial location information database for each medical community; the spatial location information database for each medical community represents the spatial coordinates of the geographical area covered by a specific medical community. ,in Represents the spatial location information database of the medical consortium The Middle The spatial location information of the medical consortium corresponding to each geographical location node includes the longitude, latitude, and altitude of the geographical location node; S122, compare the patient's current location information with the medical consortium spatial location information database matrix. Internal medical consortium spatial location information database Spatial location information of TCM community Location information matching is performed to search the medical consortium's spatial location information database that matches the patient's current location information. The corresponding medical community identity number feature text information is used to construct the target medical community feature information.

[0024] By efficiently and reliably collecting data on the patient's geographical location, medical supply needs, and the timing of those needs through a medical digital management platform, the medical resources of the medical consortium can be precisely scheduled based on multi-objective parameters, including patient location, medical supply needs, and timing information. This enables intelligent management of medical resources within the medical consortium based on multi-objective optimization.

[0025] Further, please refer to Figures 1-2. Collect information on available medical supplies within the medical consortium in the patient's geographical area to generate characteristic information on available medical supplies of the target medical consortium. Assess the availability status of medical resources within the medical consortium in the patient's geographical area to obtain analysis information on the availability status of medical resources within the target medical consortium. When available, directly execute step S4 as follows: S21, Based on the characteristic information of the target medical consortium, collect and process information on available medical supplies within the medical consortium in the patient's geographical area to generate a set of characteristic information on available medical supplies of the target medical consortium. S22, Based on the patient's medical supply demand characteristic information, the patient's medical supply demand time information, and the set of characteristic information on available medical supplies of the target medical consortium, assess the availability status of medical resources within the medical consortium in the patient's geographical area to obtain analysis information on the availability status of medical resources within the target medical consortium. The analysis information on the availability status of medical resources within the target medical consortium includes availability and unavailability. When the analysis information on the availability status of medical resources within the target medical consortium indicates availability, directly execute step S4.

[0026] The steps for collecting and processing information on idle medical supplies of medical entities within the target medical consortium in the patient's geographical area based on the target medical consortium's characteristic information, and generating a feature information set of idle medical supplies of medical entities within the target medical consortium, are as follows: S211. Using a bidirectional search algorithm, based on the medical consortium identity number feature text information corresponding to the target medical consortium's characteristic information, the medical digital management platform searches for the feature text information of idle medical supplies of all medical entities within the target medical consortium, and generates a feature information set of idle medical supplies of medical entities within the target medical consortium. ,in Indicates the first [item] within the target medical community for data collection. The idle medical supplies feature information of the target medical consortium corresponding to each medical entity; the idle medical supplies feature information of the target medical consortium includes the specifications, models, remaining quantity, and unbooked usage time or unbooked usage time period text information of the medical supplies that are not booked for use by the specific medical entity within the target medical consortium; among which the medical entities include county-level hospitals, township health centers and village clinics in the medical consortium.

[0027] Based on the patient's medical supply demand characteristics, the patient's medical supply demand time information, and the target medical consortium's idle medical supply characteristic information set, the availability status of medical resources in the patient's geographical area is determined to obtain the target medical consortium's medical resource availability status analysis information. The target medical consortium's medical resource availability status analysis information includes available and unavailable. When the target medical consortium's medical resource availability status analysis information is available, the operation steps of step S4 are directly executed as follows: S221, Combine the patient's medical supply demand characteristics, the patient's medical supply demand time information, and the target medical consortium's idle medical supply characteristic information set. Idle medical supplies feature information of medical entities in the target medical consortium The process involves matching the characteristic information of the medical items required by the patient, and generating the availability status analysis information of the target medical consortium's medical resources based on the matching results. The specific steps for generating the availability status analysis information of the target medical consortium's medical resources are as follows: S2211, Initialization: In the idle medical item characteristic information set of the target medical consortium's medical entity... Initialize in the search space Each medical subject selection particle initializes the following attributes: The first... The location of the particle is selected by the individual medical entity: , ;No. The velocity of the particles selected by each medical subject: ;No. The optimal position that a medical entity chooses the particle to pass through is: The optimal position traversed by the particle swarm throughout the entire medical system: Add an upper limit to the position of particles selected by all medical entities: ;in and and represent the feature information set of idle medical items selected by the medical subject within the target medical consortium. The upper and lower boundaries of the position in the search space; a constraint is imposed on the velocity of the particles selected by all medical entities: ;in and and represent the feature information set of idle medical items selected by the medical subject within the target medical consortium. Upper and lower bounds of velocity in the search space; set the maximum number of iterations. In each iteration, the self-learning factor of the particles selected by the medical entities in the search space of the target medical consortium's idle medical supplies feature information set c is set. ,in This is used to adjust the selection of particles by medical entities within the target medical consortium's idle medical item feature information set. The degree to which the step size of each movement in the search space is affected by self-influence; during each iteration, a set of characteristic information of idle medical supplies of the target medical consortium is set. The group learning factor of medical subjects selecting particles in the search space ,in This is used to adjust the selection of particles by medical entities within the target medical consortium's idle medical item feature information set. The degree to which the step size of each movement in the search space is affected by the group; during each iteration, a set of characteristic information of idle medical supplies of the target medical consortium is set. The inertial weights of particles selected by medical subjects in the search space ;in This indicates the search for particles within the target medical consortium's idle medical supplies feature set. The ability to inherit the velocity from the previous moment in the search space; S2212, Calculate the fitness value of the selected particles by the medical subject: in the target medical consortium medical subject's idle medical item feature information set. Calculate the first in the search space Each medical entity selects particles randomly from target medical consortium entities, identifying idle medical items and their characteristics. The fitness value of the patient's medical supply demand characteristics and the patient's medical supply demand time information; S2213, update the individual extreme value and global optimal solution of the selected particles of the medical subject: in the target medical consortium medical subject idle medical supply characteristic information set Update the search space The optimal fitness value of individual particles selected by a medical entity. The optimal fitness value of the overall particle population is selected by the medical subject. ; and then according to Information set of idle medical supplies of the target medical consortium Update the optimal position of the medical subject selection particle in the search space. Then from these optimal positions The optimal position of a group is found by searching within the search, and the optimal position is set. The identifier is the globally optimal position for this iteration; S2214, update the feature information set of idle medical items of the selected particles in the target medical consortium. Velocity and position in the search space: The update formula is as follows: ; ;in Indicates the first Each medical entity selects particle search to find the target medical consortium's available medical item characteristics that best match the patient's medical item demand characteristics and the patient's medical item demand time information. Information set of idle medical supplies of the target medical consortium The latest position after the update and iteration in the search space; Indicates the first Each medical entity selects particle search to find the target medical consortium's available medical item characteristics that best match the patient's medical item demand characteristics and the patient's medical item demand time information. Information set of idle medical supplies of the target medical consortium The latest speed after updates and iterations in the search space; This represents a random number function that takes values ​​in the interval [0,1]; if during the iteration process, the... The location of the particle is selected by the individual medical entity. Exceeding the boundary Then the medical entity selects the particle Adjusted to or ;No. The speed at which a medical entity selects particles. Exceeding the boundary Then the medical entity selects the particle Adjusted to or S2215. Set termination condition: when the maximum number of iterations is met. At that time, based on the patient's medical supply demand characteristics, the patient's medical supply demand time information, and the target medical consortium's available medical supply characteristics, The matching results of medical item feature information are used to generate information on the availability status of medical resources in the target medical consortium; when the patient's medical item demand feature information and the patient's medical item demand time information match the idle medical item feature information of the target medical consortium's medical entities... If the matching of medical item feature information is successful, it means that there is a medical entity within the medical community at the patient's current location that can meet the patient's medical item needs. In this case, the output of the target medical community's medical resource availability status analysis information is "available". At the same time, the output of the idle medical item feature information of the target medical community's medical entity that best matches the patient's medical item need feature information and the patient's medical item need time information is also output. The corresponding medical entity identification number feature text information is used to construct the target medical consortium medical entity identification information. At this point, step S4 is executed directly. When the patient's medical item demand feature information, the patient's medical item demand time information, and the target medical consortium medical entity's available medical item feature information are compared with the target medical consortium medical entity's available medical item feature information, ... If no matching of medical item feature information is found, it means that there is no medical entity within the medical community at the patient's current location that can meet the patient's medical item needs. Therefore, the output of the target medical community's medical resource availability status analysis information will be "unavailable."

[0028] When unavailable, collect information on idle medical supplies of medical entities within medical consortia in other geographical regions to generate cross-regional medical consortia idle medical supply feature information; identify and process the medical entity objects required by patients within medical consortia in other geographical regions to obtain cross-regional medical consortia medical entity identification information; the operation steps for collecting cross-regional medical consortia medical entity location information are as follows: S31, when the target medical consortium medical resource availability status analysis information is unavailable, use the unified cost search algorithm on the medical digital management platform based on the medical consortium spatial location information database matrix. Traditional Chinese Medicine Community Spatial Location Information Database The textual information of the medical community identity number corresponding to the target medical community's feature information is used to search for the textual information of idle medical items of all medical entities within all other medical communities, excluding the medical community corresponding to the target medical community's feature information. A cross-regional matrix of idle medical item feature information for medical entities within medical communities is then constructed. ,in Indicates the first A database of idle medical supplies characteristics of cross-regional medical entities corresponding to each cross-regional medical community. < ;in ,in Database of idle medical supplies of cross-regional medical consortium entities The Middle The information includes the characteristics of idle medical supplies of each medical entity within a cross-regional medical consortium; the characteristics of idle medical supplies of each medical entity within a cross-regional medical consortium include the specifications, remaining quantity, and unbooked time or time period of the medical supplies that are not yet booked for use by the specific medical entity within the cross-regional medical consortium; S32, based on the patient's medical supply demand characteristics, the patient's medical supply demand time information, and the cross-regional medical consortium medical entity idle medical supply characteristics database matrix, the medical entity objects required by patients within medical consortia in other geographical areas are identified, resulting in a cross-regional medical consortium medical entity identification information set; based on the cross-regional medical consortium medical entity identification information set, the spatial location of the medical entities required by patients within medical consortia in other geographical areas is collected and processed, generating a cross-regional medical consortium medical entity location information set.

[0029] Based on patient medical supply demand characteristic information, patient medical supply demand time information, and the cross-regional medical consortium medical entity idle medical supply characteristic information database matrix, the medical entity objects required by patients within medical consortia in other geographical regions are identified to obtain a cross-regional medical consortium medical entity identification information set. The following are the steps for generating a cross-regional medical consortium medical entity location information set: S321, Using the Sorensen-Morris-Pratt text search algorithm, the patient medical supply demand characteristic information, patient medical supply demand time information, and the cross-regional medical consortium medical entity idle medical supply characteristic information database matrix are used to identify the medical entities required by patients within medical consortia in other geographical regions. Internal cross-regional medical consortium medical entity idle medical supplies feature information database Information on idle medical supplies of medical entities in cross-regional medical consortia Successful matching of medical item feature information; idle medical item feature information database of each cross-regional medical consortium entity. The search retrieved the idle medical supplies characteristics of cross-regional medical consortium medical entities that best matched the patient's medical supply demand characteristics and the time information of the patient's medical supply demand. The corresponding medical entity identification number feature text information is used to construct a cross-regional medical consortium medical entity identification information set. ,in Indicates the first S322, Collect the cross-regional medical entity identification information required by patients in a cross-regional medical community; Identification information of medical entities in cross-regional medical consortia Inputting data into the medical digital management platform, the platform searches for the spatial location information of the medical entities needed by patients within a cross-regional medical consortium based on the textual information of the medical entity's identification number, and generates a cross-regional medical consortium medical entity location information set. ,in Indicates the identification information of medical entities in cross-regional medical consortia The corresponding location information of medical entities in cross-regional medical consortia; the location information of medical entities in cross-regional medical consortia includes the longitude, latitude and altitude of the geographical location of the medical entities in cross-regional medical consortia.

[0030] By combining patient location information with numerical analysis and a medical consortium spatial location information database based on big data storage, autonomous location identification of medical consortium objects in the patient's geographical area is achieved, enabling accurate location of medical consortium objects based on patient location. The medical digital management platform efficiently collects medical resources within the medical consortium in the patient's geographical area, and intelligently judges the availability of medical resources in the target medical consortium based on the patient's medical resource needs, achieving accurate and efficient assessment of whether the medical resources in the patient's geographical area meet the patient's needs, thus improving the scientific nature of medical resource allocation within the medical consortium. Based on the medical consortium spatial location information database, target medical consortium feature information, and the medical digital management platform, information on idle medical supplies within medical consortia in other geographical areas is efficiently collected. This system identifies the medical entities needed by patients within medical consortia in other geographical regions by combining patient medical supply demand characteristics, patient medical supply demand time information, and idle medical supply characteristics of medical entities within cross-regional medical consortia. It also collects and processes the spatial locations of these medical entities within medical consortia in other geographical regions using a medical digital management platform. This enables intelligent cross-regional planning of medical resources needed by patients within medical consortia and scientific location of these resources, improving the flexibility and applicability of medical resource scheduling. Based on multi-objective parameters including patient location, medical supply demand characteristics, and time information, it accurately schedules medical resources across regions, achieving multi-objective optimization and scientific selection of optimal medical resources, thus improving the quality of medical resource management within medical consortia.

[0031] Further, please refer to Figures 1-2. The optimal medical consortium entity for patient needs is screened and processed to obtain the optimal medical consortium entity identification information. The following are the steps for collecting the optimal medical consortium entity feature information, constructing the medical consortium resource scheduling result information, and executing the medical consortium resource scheduling result feedback operation: S41, when the target medical consortium resource availability status analysis information is available, the target medical consortium entity identification information generated in step S221 is directly used to generate the optimal medical consortium entity identification information after data identification; when the target medical consortium resource availability status analysis information is unavailable, based on the patient's current location information and the cross-regional medical consortium entity location information set... Location information of medical entities in cross-regional medical consortia By combining the spatial straight-line distance formula, the spatial distance between the patient and the medical entities required by the cross-regional medical consortium is measured, resulting in the distance set between the patient and the medical entities of the cross-regional medical consortium. ,in Indicates the patient and the first In a cross-regional medical community, the distance between the patient and the cross-regional medical community medical entity required by the patient is calculated; the generated set of distances between the patient and the cross-regional medical community medical entity is then processed. Distance between Chinese patients and cross-regional medical consortium entities Spacing numerical analysis was performed on the medical entity identification information set of cross-regional medical consortia. The search identified the patient with the smallest distance value and the distance between the cross-regional medical consortium entities. Cross-regional medical consortium medical entity identification information matching the medical entity's identity number S42. Based on the medical entity identification number characteristics corresponding to the optimal medical entity identification information, the medical digital management platform is searched for the name, geographical location, and institutional qualification text information of the specific medical entities within the medical community, and the optimal medical entity characteristic information is generated; S43. The patient's medical supply demand characteristic information, the patient's medical supply demand time information, and the optimal medical entity characteristic information are combined to construct the medical resource scheduling result information of the medical community; S44. The generated medical resource scheduling result information of the medical community is transmitted to the medical digital management platform through the Internet of Things communication network and pushed to medical staff through the display screen for feedback of the medical resource scheduling result of the medical community.

[0032] By accurately identifying the characteristics of optimal medical entities within a medical consortium based on their identification information and combined with a medical digital management platform, multi-objective optimization is achieved to accurately feedback these characteristics, improving the reliability of medical resource allocation within the medical consortium. Furthermore, based on patient medical supply demand characteristics, patient medical supply demand time information, and optimal medical consortium entity characteristics, combined with data processing, medical resource allocation results are scientifically and promptly constructed, enabling the safe and efficient collection of medical resource allocation information. Simultaneously, the medical digital management platform and display screen provide intuitive and visual feedback of the medical resource allocation results, improving the response rate and security of medical resource allocation. Example 2

[0033] Please refer to Figures 1-2. The intelligent management system for medical resources within a medical consortium, based on multi-objective optimization, is used to implement an intelligent management method for medical resources within a medical consortium based on multi-objective optimization. The system includes a patient information collection module, a medical consortium object search module, and a medical subject object positioning module. The patient information collection module includes a patient current location acquisition unit, a patient medical supply demand information acquisition unit, and a patient medical supply demand time acquisition unit. The patient current location acquisition unit collects the patient's current location information through a medical digital management platform. The patient medical supply demand information acquisition unit collects the patient's medical supply demand characteristic information through a medical digital management platform. The patient medical supply demand time acquisition unit collects the patient's medical supply demand characteristic information through a medical digital management platform. The platform collects patients' medical supply needs based on time. The medical consortium object search module includes a medical consortium spatial location information database storage unit, a current location medical consortium identification unit, a current location medical consortium medical entity idle medical supply feature information collection unit, a current location medical consortium medical resource availability status judgment unit, a cross-regional medical consortium medical entity idle medical supply feature information collection unit, a patient-required cross-regional medical consortium medical entity identification unit, a patient-required cross-regional medical consortium medical entity location information collection unit, and an optimal medical consortium medical entity identification unit. The medical consortium spatial location information database storage unit stores the medical consortium spatial location information database. The current location medical consortium identification unit identifies patients based on their current location information and the medical consortium spatial location information. The system uses a database to identify medical consortium entities in the patient's geographical area, obtaining target medical consortium feature information. A current location medical consortium idle medical item feature information collection unit, based on the target medical consortium feature information and combined with the medical digital management platform, collects and processes idle medical item information for medical entities within the medical consortium in the patient's geographical area, generating target medical consortium idle medical item feature information. A current location medical consortium medical resource availability status judgment unit, based on the patient's medical item demand feature information, the patient's medical item demand time information, and the target medical consortium idle medical item feature information, judges the availability status of medical resources in the patient's geographical area, obtaining the target medical consortium... The system includes: a medical resource availability status analysis unit; a cross-regional medical consortium idle medical item feature information collection unit, which collects and processes idle medical item information of medical entities within medical consortia in other geographical areas based on the medical consortium spatial location information database, target medical consortium feature information, and in conjunction with the medical digital management platform, generating cross-regional medical consortium idle medical item feature information; and a patient-required cross-regional medical consortium medical entity identification unit, which identifies the medical entity objects required by patients within medical consortia in other geographical areas based on patient medical item demand feature information, patient medical item demand time information, and cross-regional medical consortium idle medical item feature information, obtaining cross-regional medical consortium medical entity identification information.The patient's required cross-regional medical consortium location information collection unit collects and processes the spatial location of the required medical entities within other geographical regions' medical consortia based on the cross-regional medical consortium medical entity identification information and in conjunction with the medical digital management platform, generating cross-regional medical consortium medical entity location information. The optimal medical consortium medical entity identification unit, based on the generated target medical consortium medical resource availability status analysis information, target medical consortium medical entity identification information, patient current location information, cross-regional medical consortium medical entity location information, and cross-regional medical consortium medical entity identification information, filters the optimal medical consortium medical entity objects required by the patient, obtaining optimal medical consortium medical entity identification information. The medical entity object positioning module includes the optimal medical consortium medical entity... The system comprises three components: a body identification information collection unit, a medical consortium medical resource scheduling result generation unit, and a medical consortium medical resource scheduling result feedback unit; an optimal medical consortium medical entity identification information collection unit, which collects the optimal medical consortium medical entity characteristic information based on the optimal medical consortium medical entity identification information and in conjunction with the medical digital management platform; a medical consortium medical resource scheduling result generation unit, which constructs the medical consortium medical resource scheduling result information based on patient medical item demand characteristic information, patient medical item demand time information, and optimal medical consortium medical entity characteristic information, combined with data processing; and a medical consortium medical resource scheduling result feedback unit, which performs the medical consortium medical resource scheduling result feedback operation based on the medical consortium medical resource scheduling result information and in conjunction with the medical digital management platform and display screen.

[0034] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent management of medical resources in a medical consortium based on multi-objective optimization, characterized in that: The method includes the following steps: S1. Collect the patient's current location information, the patient's medical supply demand characteristics, and the patient's medical supply demand time information; based on the patient's location information, identify the medical consortium object information in the patient's geographical area to obtain the target medical consortium characteristic information; S2. Collect the idle medical supply information of the medical entities within the medical consortium in the patient's geographical area to generate the idle medical supply characteristic information of the target medical consortium; process the availability status of medical resources in the medical consortium in the patient's geographical area to obtain the target medical consortium medical resource availability status analysis information; when available, directly execute step S4; S3. When unavailable, collect information on idle medical supplies of medical entities within medical consortia in other geographical regions, and generate cross-regional medical consortia idle medical supply characteristic information; identify and process the medical entity objects required by patients within medical consortia in other geographical regions to obtain cross-regional medical consortia medical entity identification information, and collect cross-regional medical consortia medical entity location information; S4, screen and process the optimal medical consortia medical entity objects required by patients to obtain optimal medical consortia medical entity identification information; collect optimal medical consortia medical entity characteristic information, construct medical consortia medical resource scheduling result information, and execute medical consortia medical resource scheduling result feedback operation.

2. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 1, characterized in that: The operation steps of S1 are as follows: S11, collect the real-time location text information of specific medical entities in the medical community where the patient is located online through the medical digital management platform, and generate the patient's current location information; collect the feature text information of the medical supplies required by the patient and the specific usage time text information of the required medical supplies online through the medical digital management platform, and generate the patient's medical supply demand feature information and the patient's medical supply demand time information respectively; S12, perform medical community object identification processing based on the patient's current location information and the medical community spatial location information database matrix to obtain the target medical community feature information.

3. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 2, characterized in that: The operation steps of S12 are as follows: S121, Establish the spatial location information database matrix of the medical consortium. The include ;in Indicates the establishment of the first within the Chinese region A database of spatial location information of each medical community; The include ;in Indicates the The Middle S122, Combine the patient's current location information with the spatial location information of the medical consortium corresponding to each geographical location node; The internal description The above Perform location information matching to search for locations that match the patient's current location information. The corresponding medical community identity number feature text information is used to construct the target medical community feature information.

4. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 3, characterized in that: The operation steps of S2 are as follows: S21, based on the target medical consortium feature information, collect and process the idle medical supplies information of the medical entities within the medical consortium in the geographical area where the patient is located, and generate a set of idle medical supplies feature information of the target medical consortium; S22, based on the patient's medical supplies demand feature information, the patient's medical supplies demand time information, and the set of idle medical supplies feature information of the target medical consortium, determine the availability status of medical resources in the geographical area where the patient is located, and obtain the target medical consortium medical resources availability status analysis information; the target medical consortium medical resources availability status analysis information includes available and unavailable; when the target medical consortium medical resources availability status analysis information is available, directly execute step S4.

5. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 4, characterized in that: The operation steps of S21 are as follows: S211. Using a bidirectional search algorithm, the medical digital management platform searches for the feature text information of all idle medical items of medical entities within the target medical consortium based on the medical consortium identity number feature text information corresponding to the feature information of the target medical consortium, and generates a feature information set of idle medical items of medical entities within the target medical consortium. The include ;in Indicates the first [item] within the target medical community for data collection. Idle medical supplies feature information for each target medical consortium entity corresponding to a medical entity.

6. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 5, characterized in that: The operation steps of S22 are as follows: S221, Based on the particle swarm search algorithm, combine the patient's medical item demand feature information, the patient's medical item demand time information, and the... The above Match the patient's required medical item feature information, and generate target medical consortium medical resource availability status analysis information based on the medical item feature information matching results; when the patient's medical item demand feature information and the patient's medical item demand time information match the... If the matching of medical item feature information is successful, it indicates that there is a medical entity within the medical community at the patient's current location that can meet the patient's medical item needs. Therefore, the availability status analysis information of the target medical community's medical resources is output as available. Simultaneously, the most matching medical item demand feature information and the patient's medical item demand time information is output. The corresponding medical entity identification number feature text information is used to construct the target medical consortium medical entity identification information. At this point, step S4 is executed directly; when the patient's medical item demand feature information and the patient's medical item demand time information are consistent with the... If no matching of medical item feature information is found, it means that there is no medical entity within the medical community at the patient's current location that meets the patient's medical item needs. In this case, the output of the target medical community's medical resource availability status analysis information is "unavailable".

7. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 6, characterized in that: The operation steps of S3 are as follows: S31, when the target medical consortium's medical resource availability status analysis information is unavailable, a unified cost search algorithm is used on the medical digital management platform based on the... The above The textual information of the medical community identity number corresponding to the target medical community feature information is used to search for the textual information of idle medical items of all medical entities within all other medical communities, excluding the medical community corresponding to the target medical community feature information. A cross-regional medical community medical entity idle medical item feature information matrix is ​​then constructed. The include ;in Indicates the first A database of idle medical supplies characteristics of cross-regional medical entities corresponding to each cross-regional medical community. ＜ ; wherein include ,in Indicates the The Middle S32. Based on the patient's medical item demand characteristic information, the patient's medical item demand time information, and the cross-regional medical consortium medical item idle medical item characteristic information database matrix, the medical entity object identification processing for patients within medical consortia in other geographical regions is performed to obtain a cross-regional medical consortium medical entity identification information set; according to the cross-regional medical consortium medical entity identification information set, the spatial location acquisition processing of the medical entities required by patients within medical consortia in other geographical regions is performed to generate a cross-regional medical consortium medical entity location information set.

8. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 7, characterized in that: The operation steps of S32 are as follows: S321, using the Sorensen-Morris-Pratt text search algorithm to compare the patient's medical item demand feature information, the patient's medical item demand time information, and the... The internal description The above Successful matching of medical item feature information, in each of the above The search engine retrieves the most matching medical item demand characteristics and time information of the patient. The corresponding medical entity identification number feature text information is used to construct a cross-regional medical consortium medical entity identification information set. The include ;in Indicates the first S322, The cross-regional medical consortium medical entity identification information required by patients in a cross-regional medical consortium; The above Inputting data into the medical digital management platform, the platform searches for the spatial location information of the medical entities needed by patients within a cross-regional medical consortium based on the textual information of the medical entity's identification number, and generates a cross-regional medical consortium medical entity location information set. The include ;in Indicates the The corresponding location information of medical entities in cross-regional medical consortia.

9. The intelligent management method for medical resources in a medical consortium based on multi-objective optimization according to claim 8, characterized in that: The operation steps of S4 are as follows: S41, when the target medical consortium's medical resource availability status analysis information is available, directly use the target medical consortium medical entity identification information generated in step S221 to generate optimal medical consortium medical entity identification information through data identification; when the target medical consortium's medical resource availability status analysis information is unavailable, based on the patient's current location information, the... The above By combining the spatial straight-line distance formula, the spatial distance between the patient and the medical entities required by the cross-regional medical consortium is measured, resulting in the distance set between the patient and the medical entities of the cross-regional medical consortium. The include ;in Indicates the patient and the first The distance between the patient and the cross-regional medical entity required by the patient in a cross-regional medical community; for the generated... The above Perform spacing numerical analysis, in the Search for the one with the smallest spacing value. The medical entity identification number that matches the S42. Based on the medical entity identification number characteristics corresponding to the optimal medical entity identification information, the medical digital management platform is searched for the name, geographical location, and institutional qualification text information of the specific medical entities within the medical community, and the optimal medical entity characteristic information is generated; S43. The patient's medical item demand characteristic information, the patient's medical item demand time information, and the optimal medical entity characteristic information are combined to construct the medical resource scheduling result information of the medical community; S44. The generated medical resource scheduling result information of the medical community is transmitted to the medical digital management platform through the Internet of Things communication network and pushed to medical staff on the display screen for feedback of the medical resource scheduling result of the medical community.

10. A multi-objective optimization-based intelligent management system for medical resources in a medical consortium, used to implement the multi-objective optimization-based intelligent management method for medical resources in a medical consortium as described in any one of claims 1-9, characterized in that: The system includes a medical patient information collection module, a medical consortium object search module, and a medical subject object positioning module.

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