A medical information intelligent supervision system and method based on digital integration
By designing a digital integrated medical information intelligent supervision system, analyze the history and feedback information of image transmission, generate judgment samples and models, predict and analyze the abnormal video data transmission, solve the poor quality transmission quality of remote consultations The problem improves the reliability of the diagnostic results.
CN118588244BActive Publication Date: 2025-01-24CHANGZHOU YUNYAN MEDICAL TECH CO LTD
Patent Information
- Application Number
- CN202410751026.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-12
- Publication Date
- 2025-01-24
- Estimated Expiration
- 2044-06-12
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Figure CN118588244B_ABST
Abstract
The present invention relates to the field of medical information supervision technology, and specifically to a medical information intelligent supervision system and method based on digital integration, comprising: a medical data acquisition module, a data transmission analysis module, a supervision model generation module and an abnormality prediction reminder module, wherein the medical data acquisition module collects historical information on medical image transmission and historical feedback information on received images from personnel participating in remote consultation; the data transmission analysis module analyzes the probability of interference with remote consultation due to different reasons in the past, and generates a first judgment sample and a second judgment sample; the supervision model generation module generates a first data abnormality judgment model and a second data abnormality judgment model based on the first judgment sample and the second judgment sample; the abnormality prediction reminder module predicts whether the current medical image data transmission is abnormal and analyzes the cause of the abnormality, and generates a solution based on the prediction result, thereby reducing the interference degree of medical image data quality on the consultation.
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Citation Information
Patent Citations
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