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

Olufemi A. Omitaomu, Ozgur Ozmen, Mohammed M. Olama, Laura L. Pullum, Teja Kuruganti, James Nutaro, Hilda B. Klasky, Helia Zandi, Aneel Advani, Angela L. Laurio, Merry Ward, Jeanie Scott and Jonathan R. Nebeker

Health Systems, 2019, vol. 8, issue 3, 190-202

Abstract: An increase in the reliability of Health Information Technology (HIT) will facilitate institutional trust and credibility of the systems. In this paper, we present an end-to-end framework for improving the reliability and performance of HIT systems. Specifically, we describe the system model, present some of the methods that drive the model, and discuss an initial implementation of two of the proposed methods using data from the Veterans Affairs HIT and Corporate Data Warehouse systems. The contributions of this paper, thus, include (1) the design of a system model for monitoring and detecting hazards in HIT systems, (2) a data-driven approach for analysing the health care data warehouse, (3) analytical methods for characterising and analysing failures in HIT systems, and (4) a tool architecture for generating and reporting hazards in HIT systems. Our goal is to work towards an automated system that will help identify opportunities for improvements in HIT systems.

Date: 2019
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DOI: 10.1080/20476965.2019.1599701

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