Real-Time Automated Hazard Detection Framework for Health Information Technology Systems

Area of Science:

• Health Information Technology (HIT)
• System Reliability Engineering
• Data Analytics in Healthcare

Background:

• Health Information Technology (HIT) systems are critical for modern healthcare delivery.
• Ensuring the reliability and performance of HIT is essential for institutional trust and credibility.
• Existing systems may lack robust mechanisms for hazard detection and failure analysis.

Purpose of the Study:

• To present an end-to-end framework for enhancing the reliability and performance of HIT systems.
• To introduce methods for monitoring, detecting, and analyzing hazards within HIT.
• To lay the groundwork for an automated system to identify HIT improvement opportunities.

Main Methods:

• Design of a system model for monitoring and detecting hazards in HIT.
• Development of a data-driven approach for analyzing healthcare data warehouses.
• Analytical methods for characterizing and analyzing HIT system failures.
• Design of a tool architecture for hazard generation and reporting.

Main Results:

• An initial implementation of two proposed methods using Veterans Affairs HIT and Corporate Data Warehouse data.
• Demonstration of a system model capable of hazard monitoring and detection.
• Development of analytical techniques for failure characterization.

Conclusions:

• The proposed framework offers a systematic approach to improving HIT reliability.
• Data-driven analysis and hazard characterization are key to enhancing system performance.
• The developed tool architecture supports the identification and reporting of HIT hazards, moving towards automation.