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

• Published in: Health systems Vol. 8; no. 3; pp. 190 - 202
• Main Authors: Omitaomu, Olufemi A., Ozmen, Ozgur, Olama, Mohammed M., Pullum, Laura L., Kuruganti, Teja, Nutaro, James, Klasky, Hilda B., Zandi, Helia, Advani, Aneel, Laurio, Angela L., Ward, Merry, Scott, Jeanie, Nebeker, Jonathan R.
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 02.09.2019
• Subjects: corporate data warehouse; hazard detection; Health information technology; Markov chain; Original; statistical process control; transaction process model; Markov chain; hazard detection; transaction process model; corporate data warehouse; statistical process control; Health information technology
• ISSN: 2047-6965; 2047-6973
• DOI: 10.1080/20476965.2019.1599701

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.