A VTE intelligent monitoring system supporting multi-role requirements

By constructing an evidence hypergraph and a guideline version trie, the VTE intelligent monitoring system solves the problem of multi-role collaboration in VTE risk monitoring within hospitals, achieves traceability of assessment results and consistency of execution, and improves the efficiency of risk identification and nursing intervention.

CN121506359BActive Publication Date: 2026-04-14XIAN NEW HOPE MEDICAL EQUIP CO LTD
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Patent Information

Application Number
CN202610036749.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-01-13
Publication Date
2026-04-14
Estimated Expiration
2046-01-13

AI Technical Summary

Technical Problem

Existing technologies in hospital-based VTE risk monitoring lack continuous tracking of patients' dynamic risks and cannot achieve real-time collaboration between different roles. This leads to a disconnect between assessment results and actual changes in the patient's condition. Doctors' prevention and treatment recommendations lack traceable evidence, and the nursing staff's execution process suffers from frequent assessment triggers but low effective intervention rates, making it impossible to form a unified risk management path.

Method used

Design a VTE intelligent monitoring system that supports the needs of multiple roles. By constructing an evidence hypergraph and a guideline version trie, an evidence association vector is generated to achieve closed-loop collaboration among multiple roles in risk assessment, intervention execution, and outcome verification. The physician end generates prevention and control suggestions based on multi-source clinical data, and the nursing end performs nursing care and makes dynamic adjustments based on the traceability chain.

Benefits of technology

It achieves a collaborative closed loop between risk assessment by doctors and intervention execution by nurses, ensuring the traceability of assessment results and consistency of execution. The prevention and control measures at the nursing end are adaptively adjusted according to changes in the patient's condition, improving the timeliness of risk identification and the efficiency of nursing intervention execution.

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Abstract

The application relates to the technical field of medical data processing, and particularly relates to a VTE intelligent monitoring system supporting multi-role requirements. The following scheme is provided: a doctor role end constructs an evidence hypergraph based on multi-source clinical data, generates an evidence correlation vector through partial order conflict grid merging, searches in a guideline version dictionary tree to obtain a current effective node, outputs prevention and treatment suggestions and version pointing information to form a traceable evidence chain. A nursing role end receives and analyzes the traceable chain, screens matched prevention and treatment schemes from an intervention measure set in combination with real-time monitoring data, generates nursing execution instructions and dynamically adjusts and feeds back according to intervention effects, and realizes closed-loop cooperation of risk assessment, intervention execution and result back-checking among the multi-roles, so that the timeliness, traceability and execution consistency of the prevention and treatment suggestions are guaranteed.
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