Medical data information analysis method and system based on artificial intelligence

By acquiring and analyzing verbal communication information from medical staff in a medical data analysis system, temporary calibration rules are generated, which solves the problems of false alarms and missed alarms in existing systems during clinical operations, and enables more accurate judgment of data anomalies and identification of disease conditions.

CN122245586APending Publication Date: 2026-06-19ZHONGXING TECHNOLOGY (FUZHOU) CO LTD
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Patent Information

Application Number
CN202610702136.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-21
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In intensive care environments, existing medical data analysis systems are unable to accurately distinguish between data anomalies caused by normal operations and actual deterioration of the patient's condition when faced with frequent clinical procedures and data fluctuations, leading to false alarms or missed alarms.

Method used

By acquiring verbal communication information from medical staff, semantic analysis is performed to generate temporary calibration rules, which are then injected into the medical data analysis system. These rules are applied first to correct data anomaly judgments.

Benefits of technology

It significantly reduced false alarms caused by data interruptions or abnormal fluctuations due to clinical procedures, improved the accuracy and reliability of early warnings, ensured accurate identification of disease deterioration, and enhanced patient safety and quality of care.

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Abstract

The invention provides a medical data information analysis method and system based on artificial intelligence, and the method comprises the steps: obtaining oral communication information of a medical worker, and carrying out the recognition of the oral communication information, so as to obtain an instruction or statement in a text form; performing semantic analysis on the instruction or statement in the text form to extract an operation type, a patient identifier, time information and a parameter adjustment intention; generating a temporary calibration rule for correcting data interpretation logic according to a semantic analysis result, and injecting the temporary calibration rule into the medical data analysis system; when a medical data analysis system processes physiological monitoring data, a temporary calibration rule is preferentially applied to correct the judgment of data anomalies. According to the method, data abnormity caused by normal clinical operation and real illness state change can be distinguished, false report and missing report are effectively reduced, and the accuracy and reliability of data analysis in an intensive care environment are improved.
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