A fever outpatient clinic space layout optimization method

By constructing a coupled analysis model of Thiessen polygons and medical preference, and combining multi-source dynamic data and multi-dimensional buffer analysis, we have achieved accurate supply and demand matching and dynamic optimization of the layout of fever clinics. This solves the problems of insufficient supply and demand analysis and lack of scientific site selection optimization in existing methods, and improves accessibility to medical care and emergency response capabilities.

CN122158023APending Publication Date: 2026-06-05SHANGHAI MAPPING INST +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI MAPPING INST
Filing Date
2026-03-05
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing methods for optimizing the layout of fever clinics fail to fully integrate dynamic data, resulting in insufficient accuracy in supply and demand analysis. Site selection optimization lacks multi-dimensional factors, making it difficult to adapt to changes in demand, leading to idle or insufficient resources, and affecting accessibility to medical care and emergency response.

Method used

By constructing a coupled analysis model of Thiessen polygons and medical treatment preferences, integrating multi-source dynamic data, calculating the supply-demand ratio and calibrating the dynamic pressure level in different time periods, and combining multi-dimensional buffer and dynamic accessibility analysis, the candidate site areas are screened, and the layout is dynamically optimized through system dynamics simulation verification and monitoring feedback mechanism.

Benefits of technology

It improves the accuracy of stress area identification, optimizes the allocation of medical resources, enhances accessibility to medical care and the ability to respond to emergencies, and ensures the continuous adaptability of the layout plan.

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Abstract

The present application belongs to the field of medical resource space layout optimization, and is a fever outpatient clinic space layout optimization method, comprising the following steps: S1, collecting and obtaining basic data and supplementing multi-source dynamic and constraint data; S2, preprocessing the data, eliminating invalid data and standardizing and unifying various types of data; S3, constructing a Thiessen polygon and performing medical preference coupling analysis, dividing the basic service range and correcting it, calculating the supply-demand ratio by time period and demarcating the dynamic pressure area; S4, setting up a multi-dimensional basic buffer zone and dynamically optimizing the accessibility, superimposing a multi-factor screening area to be selected; S5, forming a comprehensive optimization scheme through stock, increment and operation strategy; S6, after the scheme is verified by simulation, a monitoring feedback mechanism is established to realize dynamic optimization and adjustment.
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