Medical data evaluation and correction system and method based on large language model and multi-agent cooperation, medium, program product and terminal
The medical data evaluation and correction system, which utilizes a large language model and multi-agent collaboration, addresses the issues of dynamic adaptability and insufficient integration with traditional Chinese medicine in existing medical data governance systems. It achieves efficient and automated data correction and optimization, reducing the cost of manual review.
Patent Information
- Application Number
- CN202610173828.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-06
- Publication Date
- 2026-06-09
AI Technical Summary
Existing medical data quality governance systems lack dynamic adaptability, have no feedback learning loop, and are insufficiently adapted to traditional Chinese medicine data, resulting in low data governance efficiency and reliance on manual review, and are unable to effectively handle complex semantic conflicts.
A medical data evaluation and correction system based on a large language model and multi-agent collaboration is adopted, including a data acquisition module, a multi-agent evaluation module, and a self-optimization module. The system performs automated correction through quality assessment, semantic recognition, data correction, and consensus coordination agents, and optimizes the model through incremental learning and expert feedback.
It enables high-quality automatic correction of medical data, reduces reliance on manual review, adapts to changes in data patterns, and improves the efficiency and accuracy of data governance, especially in the context of traditional Chinese medicine, where it possesses precise semantic understanding capabilities.