Artificial Intelligence-Based Hospital Information Department Operation and Maintenance Management System

By using a time-based multi-source signal analysis and event merging mechanism, the problem of duplicate work order generation in the operation and maintenance management of hospital information departments was solved, achieving efficient, stable and orderly processing of operation and maintenance tasks and improving the level of intelligence in operation and maintenance management.

CN121812102BActive Publication Date: 2026-05-26JIANYANG PEOPLES HOSPITAL
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANYANG PEOPLES HOSPITAL
Filing Date
2026-03-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies in hospital information departments cannot accurately distinguish between persistent anomalies and new events of the same fault in intelligent operation and maintenance management, resulting in the generation of duplicate work orders, increasing the burden of manual verification, and affecting the emergency response of critical systems and the stability of overall operation and maintenance scheduling.

Method used

Employing a time-based multi-source signal analysis and event merging mechanism, this system uses a data analysis module, an event merging module, a repetition identification module, and a rhythm control module to achieve unified association of monitoring signals, work order information, and equipment operating status. It identifies repetitive trigger points and constructs a dynamic response framework, balances the sampling rhythm, and introduces a self-recovery mechanism during the cooling period.

Benefits of technology

It effectively reduces the generation of duplicate work orders, improves the timeliness and accuracy of task processing, ensures that operation and maintenance tasks remain continuous, stable and efficient in complex environments, and realizes intelligent scheduling and highly reliable operation of hospital information operation and maintenance management.

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Abstract

This invention discloses an artificial intelligence-based hospital information department operation and maintenance management system, belonging to the field of information technology service management technology. It includes a data analysis module, an event merging module, a duplicate identification module, a constraint orchestration module, and a rhythm control module. The data analysis module collects real-time monitoring signals, work order records, personnel scheduling information, and equipment operating status information during the operation and maintenance management phase. It performs centralized analysis on the collected data, draws an operation change graph according to the fluctuation amplitude of the monitoring signals, and extracts interference periods as a time base. This invention achieves accurate identification of common-source anomalies through multi-source signal analysis and event merging using a time base, reducing duplicate work orders and improving operation and maintenance response efficiency. Through trigger threshold and delay control and cooldown period adjustment, it achieves orderly event triggering and stable signal feedback, ensuring intelligent scheduling and efficient operation of hospital information maintenance.
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