Postpartum hemorrhage intelligent monitoring, prevention and control method and system based on multi-parameter integration and AI fusion

Through the combination of optical fiber sensors and vital sign patches combined with AI risk assessment model, intelligent postpartum bleeding monitoring with multi-parameter integration is achieved, solving the problem of inaccurate risk assessment in the existing technology, and improving the accuracy and timeliness of postpartum bleeding warning.

CN120531348AInactive Publication Date: 2025-08-26南方医科大学第五附属医院
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Patent Information

Application Number
CN202510676244.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-24
Publication Date
2025-08-26
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing technology lacks the ability to integrate multi-parameter monitoring and real-time analysis of postpartum bleeding, resulting in inaccurate risk assessment and delayed treatment opportunities. Most of the monitoring equipment is a single function, and data integration and intelligent analysis cannot be achieved.

Method used

Blood flow data and physiological parameters are collected in real time through fiber optic sensors and vital sign patches, combined with AI risk assessment model, and dynamically analyze bleeding risks and trigger hierarchical warnings to achieve intelligent monitoring and prevention and control of multi-parameter integration and AI integration.

Benefits of technology

It significantly improves the accuracy and timeliness of postpartum bleeding warning, and reduces the risk of maternal complications and death caused by subjective judgment errors or delayed responses.

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Abstract

The invention relates to a multi-parameter integration and AI fusion postpartum hemorrhage intelligent monitoring, prevention and control method and system. The method comprises the following steps: acquiring blood flow data; the blood flow data comprises blood loss volume and blood flow velocity, and the blood flow data is obtained through measurement of an optical fiber sensor; acquiring vital sign information; the vital sign information comprises blood pressure, heart rate and oxyhemoglobin saturation, and the vital sign information is obtained through continuous monitoring of a vital sign patch; according to the blood flow data, the vital sign information and the medical history information, a bleeding risk grade evaluation result is calculated in real time through an AI risk evaluation model, and the AI risk evaluation model is used for dynamically evaluating the bleeding risk; and triggering corresponding grading early warning according to the bleeding risk grade evaluation result, wherein the grading early warning is used for indicating bleeding risk processing. By adopting the method, the early warning accuracy and treatment efficiency of postpartum hemorrhage can be remarkably improved, and complications and death risks of pregnant and lying-in women are effectively reduced.
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