Neurosurgery postoperative care quality qualification rate whole-process management and control system
By creating digital nursing tracking files in postoperative neurosurgical care and using a physiological state analysis engine to identify abnormal segments, the problems of separated nursing information and discontinuous collection of physiological data were solved. This enabled the synchronous integration of nursing information and the real-time recording and push of abnormal events, thereby improving the traceability and response efficiency of nursing quality.
Patent Information
- Application Number
- CN202610645727.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-12
- Publication Date
- 2026-06-09
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In current neurosurgical postoperative care, patients' basic pathological information, key surgical operation records, and preliminary nursing goals set by the surgeon cannot be collected and entered synchronously. Nursing procedures and patient records are managed separately for a long time. Physiological data collection is not continuous, abnormal situations are not linked to patient records in real time, independent abnormal event records cannot be generated, and abnormal information cannot be pushed out in real time with warning messages.
When a patient is transferred to the postoperative care unit, a unique digital nursing tracking file is created. Basic information is entered through the nursing terminal and linked to standard nursing procedures. Continuous physiological data streams are collected using a bedside sensor array. Abnormal segments are identified and generated as independent records by a physiological state analysis engine, and warning messages are pushed to the mobile nursing terminal.
It achieves synchronous integration and procedural matching of nursing information, continuous collection of physiological data and identification of abnormalities, and real-time recording and push of abnormal events, forming an integrated nursing process and improving the traceability and response efficiency of nursing quality.