A time-sharing control and quality control system and method for intraoperative pathological rapid diagnosis

By constructing a multi-dimensional time benchmark library and a time-factor coupling network, bottleneck nodes in pathological diagnosis are identified, solving the problem of imperfect time quality control in rapid pathological diagnosis, realizing real-time monitoring and resource optimization, and improving diagnostic efficiency and the accuracy of surgical decisions.

CN122177381APending Publication Date: 2026-06-09NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
Filing Date
2026-02-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

The lack of a systematic time quality control system in the field of rapid pathological diagnosis in the current technology leads to low diagnostic efficiency, inconsistent standards, difficulty in identifying and quantifying the causes of time deviations, and affects the timeliness and accuracy of surgical decisions.

Method used

A multi-dimensional time benchmark library is constructed. Node switching events are identified through multi-source sensor fusion. Time fluctuation entropy and environmental interference parameters are calculated. A time-factor coupled network is constructed to identify bottleneck nodes and generate traceable quality control reports, enabling real-time monitoring and early warning.

Benefits of technology

It improves the real-time monitoring capability of pathological diagnosis, identifies systemic bottlenecks, optimizes resource allocation, reduces waiting time, improves operating room turnover efficiency, reduces the risk of surgical complications, and ensures the timeliness of diagnosis for emergency cases.

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Abstract

This invention belongs to the field of medical quality control technology. It discloses a time-sharing quality control system and method for rapid intraoperative pathology diagnosis. By collecting historical time-series data from multiple intraoperative pathology diagnosis processes, a multi-dimensional time benchmark library containing a time window correlation matrix is ​​constructed. Multi-source sensor fusion technology is used to identify node switching events during operation periods. A time-factor coupling network is constructed based on environmental interference parameters and operational coherence parameters. Bottleneck nodes in the diagnostic process time chain are accurately identified, and their cascading delay risk levels are assessed. Finally, a traceable quality control report containing a time topology map is generated. This invention achieves precise time monitoring of the entire intraoperative pathology diagnosis process, scientifically quantifies the contribution intensity of multiple factors to time deviation, improves the timeliness and process stability of pathology diagnosis, reduces surgical waiting time, and provides timely and reliable pathological evidence for medical decision-making.
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