Hierarchical diagnosis and resource scheduling method and system for internet hospital

By using disease assessment models and multidimensional vector matching technology, the problems of single evaluation dimensions and rigid thresholds in Internet medical platforms have been solved, enabling accurate matching of complex cases and dynamic scheduling of resources, thereby improving the accuracy of triage and the utilization rate of resources.

CN121709185BActive Publication Date: 2026-06-23XIAMEN COBBLESTONE NETWORK TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAMEN COBBLESTONE NETWORK TECH CO LTD
Filing Date
2026-02-10
Publication Date
2026-06-23

AI Technical Summary

Technical Problem

Existing internet healthcare platforms use a single evaluation dimension in hierarchical diagnosis and treatment, lacking independent consideration of complexity, resulting in insufficient matching accuracy. Static and rigid threshold settings cannot cope with the dynamic tidal effect of medical resources, leading to low utilization of medical resources and insufficient triage accuracy.

Method used

A disease assessment model is introduced, which extracts feature vectors through natural language processing and multimodal fusion network, combines patient preference factors, maps them to a multidimensional vector space for matching, dynamically adjusts the intervention threshold to cope with load fluctuations, and uses adversarial training to optimize the model accuracy.

Benefits of technology

It achieves precise matching of complex cases, avoids mild cases crowding out expert resources, ensures critically ill patients receive priority treatment, improves the clinical rationality of triage and the efficiency of resource utilization, and the system has self-optimization capabilities.

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Abstract

The application discloses an internet hospital hierarchical diagnosis and treatment and resource scheduling method and system, the method comprises the following steps: in response to the diagnosis and treatment request sent by the user, obtaining the diagnosis and treatment data containing the patient's complaint information; inputting the diagnosis and treatment data into the disease assessment model for feature extraction, and outputting a feature vector representing the patient's disease state; the feature vector at least includes a first dimension parameter representing the emergency degree of the disease and a second dimension parameter representing the complexity of the disease; based on the feature vector, determine the target resource node in the hierarchical medical resource database; according to the target resource node, generate a resource scheduling instruction, and establish a communication link between the user terminal and the corresponding server of the target resource node. The application introduces a two-dimensional evaluation system of emergency degree and complexity, combines a dynamic threshold adjustment mechanism based on supply and demand prediction, and significantly improves the utilization efficiency of medical resources and the accuracy of diagnosis matching.
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