A medical data analysis efficiency optimization method and system

By acquiring problem keywords and tags from the medical data analysis system, segmenting candidate subtexts, extracting feature keywords, evaluating retrieval completion, and optimizing text output, the problem of wasted computing resources and low efficiency in multi-department medical record analysis is solved, achieving efficient and accurate data analysis.

CN122157923APending Publication Date: 2026-06-05THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT) +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
THE FIRST AFFILIATED HOSPITAL OF GUANGZHOU MEDICAL UNIV (GUANGZHOU RESPIRATORY CENT)
Filing Date
2025-10-22
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing medical data analysis systems suffer from wasted computing resources and low efficiency when processing medical records from multiple departments and document types. In particular, when extracting structured information from unstructured medical records, the accuracy and recall of entity recognition are insufficient, resulting in low data analysis efficiency.

Method used

By acquiring target text and user questions, identifying question keywords, generating question tags and task instructions, segmenting candidate subtexts, extracting feature keywords, evaluating retrieval completion, optimizing text output methods, and employing a pre-set tag library and information extraction model, we can accurately match user needs and optimize resource allocation and text structuring processing.

Benefits of technology

It improves the efficiency and accuracy of medical data analysis, reduces redundant calculations, ensures the relevance and accuracy of information extraction, quantifies the completion of analysis tasks, optimizes resource allocation, and improves the overall data analysis efficiency and text output quality.

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Abstract

The present application relates to the technical field of data processing, and more particularly to a medical data analysis efficiency optimization method and system, comprising: obtaining target text input by a target user and a user question to determine a plurality of question keywords; determining a plurality of question labels corresponding to the user question based on each question keyword, and determining a target task instruction corresponding to the target text based on each question label and a text identifier of the target text; dividing the target text into a plurality of candidate subtexts based on the target task instruction, and determining a plurality of feature keywords corresponding to each candidate subtext; determining a target keyword set corresponding to each candidate subtext based on each feature keyword, and determining a retrieval completion degree corresponding to the target text; and determining a text output mode corresponding to the target text based on the retrieval completion degree. The present application can improve the efficiency and accuracy of medical data analysis.
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