A multi-objective optimization-based public resource allocation management system for a shared traditional Chinese medicine store

CN122800155APending Publication Date: 2026-09-22SHANDONG UNIV OF TRADITIONAL CHINESE MEDICINE
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Patent Information

Application Number
CN202610907053.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-23
Publication Date
2026-09-22

AI Technical Summary

Technical Problem

[0006]为了解决现有技术中存在的资源配置失衡、效能评价单一以及应急统筹能力薄弱的问题,本发明提供一种基于多目标优化的共享中药房 公共资源调配管理系统,旨在通过技术赋能公共医疗管理,实现医共体内中药公共医疗资源的集约化利用与公共服务效能最大化

Benefits of technology

[0010]依托需求测算与分级动态预警机制,帮助卫健委等管理部门改变传统事后处置模式,转向前置预判、主动干预,可在流行病高发、就诊量暴涨前提前完成中药产能、配送运力的规划部署,规避资源挤兑风险。

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Abstract

A shared traditional Chinese medicine dispensary public resource allocation management system based on multi-objective optimization, the system sets regional medical resource demand calculation and dynamic early warning module, consumables and production capacity overall scheduling hub module, public service performance multi-dimensional evaluation and decision support engine module. The system calculates the regional medical demand density by space time sequence algorithm and classifies early warning; adopts ABC classification method to classify and control decoction pieces, consumables and logistics capacity, realizes dynamic allocation of cross-dispensary prescriptions and logistics capacity by relying on multi-objective optimization algorithm considering time efficiency and operation cost; builds a dynamic evaluation library containing four-dimensional indexes of accessibility, fairness, service quality and consumable control, automatically fuses business data and research data to generate performance radar chart, and provides quantitative decision support for health management departments.
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Description

Technical Field

[0001] This invention relates to the fields of smart healthcare, public service management and operations optimization, and more specifically, to a shared Chinese medicine pharmacy public resource allocation management system based on multi-objective optimization. Background Technology

[0002] In the current primary healthcare service system, the construction of smart shared traditional Chinese medicine pharmacies has effectively centralized the dispensing and decoction capacity of Chinese herbal medicines. However, from a public management perspective, the existing system still faces the following governance challenges in actual operation: Uneven resource allocation: The number of patients treated at various primary healthcare institutions (such as community health service centers and township health centers) in the region fluctuates greatly due to factors such as seasons and epidemics, which often leads to extreme phenomena such as the decoction production capacity and delivery capacity of individual shared pharmacies being idle at times and overwhelmed at others.

[0003] Lack of a scientific performance evaluation system: Currently, the industry's assessment of shared Chinese medicine pharmacies is mostly limited to single operational data such as "prescription volume" and "revenue," lacking a comprehensive public service performance evaluation system that covers dimensions such as "accessibility," "fairness," "service quality," and "consumable control," making it difficult to fully measure their social benefits.

[0004] Weak emergency coordination capabilities: During peak seasons for seasonal diseases or public health emergencies, the existing system lacks a regional-level macro-coordination model, making it impossible to achieve cross-institutional and cross-regional capacity cooperation and transportation allocation, thus making it difficult to effectively safeguard regional public health security.

[0005] In summary, the existing shared traditional Chinese medicine pharmacy management system cannot achieve dynamic and balanced allocation of resources at the regional level and quantitative evaluation of comprehensive effectiveness, and has obvious technical shortcomings. There is an urgent need for a new technical solution to solve the above problems. Summary of the Invention

[0006] To address the problems of unbalanced resource allocation, singular performance evaluation, and weak emergency coordination capabilities in existing technologies, this invention provides a shared Chinese medicine pharmacy public resource allocation and management system based on multi-objective optimization. The aim is to empower public medical management through technology, thereby maximizing the intensive utilization of Chinese medicine public medical resources and the efficiency of public services within the medical consortium.

[0007] This invention constructs an empowering platform for the management of traditional Chinese medicine pharmacies within regional medical consortia. It transforms public administration evaluation systems and resource coordination theories into automated algorithmic models. The system comprises three core, mutually collaborative modules, with each module's function and implementation logic as follows: This module accesses real-time outpatient business data from all primary healthcare institutions within the region and regional epidemiological trend monitoring data. It calculates the density of public medical demand in the region by area through a spatial and temporal coupling algorithm. It continuously compares the real-time demand in each area with the existing capacity of shared traditional Chinese medicine pharmacies for decoction and delivery, accurately identifying areas with weak medical resources and hotspots with surging demand for medical services. After identifying abnormal supply and demand gaps, it automatically triggers a tiered early warning mechanism, simultaneously pushing the warning information to the health administration department and the management terminals of each shared traditional Chinese medicine pharmacy, reserving buffer time for allocation in advance.

[0008] The module's underlying layer embeds the ABC classification method for public resource management, enabling tiered and categorized detailed ledger management of all Chinese herbal medicine slices, decoction consumables, and logistics and distribution capacity within the region. When the overall or partial decoction production capacity or distribution capacity of the region reaches a state of tension or saturation, a multi-objective optimization algorithm is automatically activated. The algorithm, with the dual constraints of optimal delivery timeliness and minimum overall operational scheduling cost, automatically iterates and calculates the optimal allocation strategy, dynamically adjusting the prescription flow paths and distribution logistics nodes between multiple smart shared Chinese herbal medicine pharmacies. This achieves cross-pharmacy capacity assistance and capacity sharing, mitigating supply and demand fluctuations.

[0009] The engine incorporates a customizable and dynamically adjustable public service evaluation indicator library, which includes at least four dimensions: accessibility indicators, equity indicators, service quality indicators, and consumable control indicators. Specific quantitative indicators include the rate of reduction in average waiting time for primary care patients, pharmaceutical service coverage, and the incidence of medical disputes. The system automatically and periodically captures operational data from the entire region's underlying business processes, simultaneously integrating structured medical survey questionnaires collected regularly. Through multi-dimensional statistical algorithms, it generates a standardized regional public service effectiveness evaluation model. The engine visualizes the multi-dimensional evaluation results, outputting a regional public service effectiveness radar chart that intuitively displays the service shortcomings of each area and each shared traditional Chinese medicine pharmacy, providing quantitative and forward-looking data support for health administrative departments to conduct macro-policy interventions and medium- and long-term traditional Chinese medicine service planning. Beneficial effects

[0010] By relying on demand assessment and a tiered dynamic early warning mechanism, the health commission and other management departments can change their traditional post-event handling model and shift to proactive prediction and intervention. This allows them to plan and deploy the production capacity and distribution capacity of traditional Chinese medicine in advance before the outbreak of epidemics and the surge in medical visits, thus avoiding the risk of resource shortages.

[0011] Breaking down data silos between individual hospitals and independently shared Chinese medicine pharmacies, and opening up channels for the flow of Chinese medicine decoction pieces, decoction equipment, and logistics capacity within medical alliances and medical consortia, this enables unified scheduling of resources across the entire region, significantly reducing equipment idleness and waste of transportation capacity, and efficiently coping with peak-season capacity saturation pressure.

[0012] This invention's multidimensional evaluation engine changes the industry's single evaluation model that relies solely on prescription volume and revenue assessment. It takes into account both the social benefits of medical services and the operational management benefits, and provides visualized and quantifiable comprehensive evaluation results. This provides local health authorities with scientific and objective data to evaluate the effectiveness of the shared Chinese medicine pharmacy policy and optimize the layout of primary-level Chinese medicine services. Detailed Implementation

[0013] The invention will now be described in further detail using the example of a county-level medical consortium.

[0014] A shared traditional Chinese medicine pharmacy public resource allocation and management system based on multi-objective optimization, the system comprising: Regional medical resource demand assessment and dynamic early warning module: It is used to access and process outpatient data and epidemiological trend data of medical institutions in the region, calculate the density of public medical demand in different regions through algorithms, and automatically trigger early warning when hot spots with weak medical resources or surging demand are identified. Consumables and production capacity coordination and scheduling central module: used to classify and manage Chinese herbal medicine pieces, decoction consumables and logistics capacity in a hierarchical manner, and to coordinate and redistribute prescription flow paths between multiple smart shared Chinese herbal medicine pharmacies when production capacity is tight; The public service efficiency multidimensional evaluation and decision support engine module is used to establish a dynamically adjustable public service evaluation index library, automatically capture business data and combine it with the results of structured survey questionnaires to generate regional public service efficiency evaluation models and quantitative decision-making basis.

[0015] The central module for coordinating and scheduling consumables and production capacity adopts the ABC classification method to classify and manage traditional Chinese medicine decoction pieces, decoction consumables, and logistics capacity; the multi-objective optimization algorithm takes the optimization of timeliness and operating cost as the objective constraint during scheduling.

[0016] The public service effectiveness multidimensional evaluation and decision support engine module has a built-in public service evaluation index library that covers at least: accessibility indicators, fairness indicators, service quality indicators, and consumable control indicators; specific indicators include, but are not limited to, the rate of reduction in average waiting time for primary care patients, the coverage rate of pharmaceutical services, and the incidence rate of medical disputes.

[0017] The engine module can visualize the multi-dimensional evaluation results and generate a radar chart of regional public service effectiveness, providing forward-looking data support for macro-intervention and planning by health administrative departments.

[0018] Example: Smart Shared Traditional Chinese Medicine Pharmacy Management System for County-level Medical Consortiums A county-level medical consortium has 8 township health centers and 3 community health service centers under its jurisdiction, and has built 3 regional shared traditional Chinese medicine pharmacies, deploying the complete dispensing and management system of this invention.

[0019] Module deployment and data access The system server is deployed in the county health commission's data center. The regional medical resource demand calculation and dynamic early warning module is connected to the county's medical institutions' HIS outpatient system and the disease control center's epidemic monitoring system, synchronizing daily visitor numbers, traditional Chinese medicine prescriptions, and seasonal disease incidence data in real time. The consumables and production capacity coordination and scheduling center is connected to the decoction piece inventory system of three shared traditional Chinese medicine pharmacies, the decoction equipment status system, and the third-party logistics and distribution management system. The public service efficiency multi-dimensional evaluation engine is connected to the full business database, synchronizing structured questionnaire data on patient and doctor satisfaction monthly.

[0020] Daily supply and demand calculation and early warning operation The system uses townships and communities as units to calculate the demand density of traditional Chinese medicine (TCM) services in a region on a rolling weekly basis. During the peak season for influenza in autumn and winter, the number of TCM prescriptions at a township clinic increased by 120% compared to the previous period. The existing shared pharmacies in the region had insufficient decoction capacity. The module identified the supply-demand gap, triggered a level-two warning, and pushed the information to the Health Commission's dispatch terminal and the back-end systems of the three shared pharmacies.

[0021] Multi-objective optimization of cross-pharmacy scheduling execution The dispatch center retrieves all the herbal medicine pieces and the ABC classification ledgers of transportation capacity, and starts a multi-objective optimization algorithm. With the constraints of "patient medication collection time ≤ 4 hours and the lowest total dispatch cost in the whole region", it automatically diverts 35% of the prescriptions in the township to two other shared Chinese medicine pharmacies with sufficient idle capacity. At the same time, the logistics and distribution routes are adjusted to complete the cross-warehouse transfer of herbal medicine pieces. No manual allocation is required, and all peak prescriptions are delivered on time.

[0022] Monthly Public Service Effectiveness Evaluation Output At the end of each month, the evaluation engine automatically captures all business data for the month, calculates indicators such as the coverage rate of pharmaceutical services in each area, the rate of reduction in patient waiting time for medication, the consumable loss rate, and the number of medical disputes, and generates a radar chart of the county-level TCM service efficiency. Based on the radar chart, the Health Commission identifies shortcomings in the accessibility of pharmaceutical services in remote townships and adds small-scale shared decoction points the following year to optimize the regional resource allocation.

[0023] This embodiment demonstrates that the system can fully realize the automated operation of dynamic early warning of regional Chinese medicine resources, cross-entity intelligent scheduling, and comprehensive efficacy quantitative evaluation, effectively solving various defects in the existing shared Chinese medicine pharmacy management system.

Claims

1. A shared traditional Chinese medicine pharmacy public resource allocation and management system based on multi-objective optimization, characterized in that, The system includes: Regional medical resource demand assessment and dynamic early warning module: It is used to access and process outpatient data and epidemiological trend data of medical institutions in the region, calculate the density of public medical demand in different regions through algorithms, and automatically trigger early warning when hot spots with weak medical resources or surging demand are identified. Consumables and production capacity coordination and scheduling central module: used to classify and manage Chinese herbal medicine pieces, decoction consumables and logistics capacity in a hierarchical manner, and to coordinate and redistribute prescription flow paths between multiple smart shared Chinese herbal medicine pharmacies when production capacity is tight; The public service efficiency multidimensional evaluation and decision support engine module is used to establish a dynamically adjustable public service evaluation index library, automatically capture business data and combine it with the results of structured survey questionnaires to generate regional public service efficiency evaluation models and quantitative decision-making basis.

2. The system according to claim 1, characterized in that, The central module for coordinating and scheduling consumables and production capacity adopts the ABC classification method to classify and manage traditional Chinese medicine decoction pieces, decoction consumables, and logistics capacity; the multi-objective optimization algorithm takes the optimization of timeliness and operating cost as the objective constraint during scheduling.

3. The system according to claim 1, characterized in that, The public service effectiveness multidimensional evaluation and decision support engine module has a built-in public service evaluation index library that covers at least: accessibility indicators, fairness indicators, service quality indicators, and consumable control indicators; specific indicators include, but are not limited to, the rate of reduction in average waiting time for primary care patients, the coverage rate of pharmaceutical services, and the incidence rate of medical disputes.

4. The system according to claim 3, characterized in that, The engine module can visualize the multi-dimensional evaluation results and generate a radar chart of regional public service effectiveness, providing forward-looking data support for macro-intervention and planning by health administrative departments.