Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage

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Abstract

The testing of informatics tools designed for use during mass casualty incidents presents a unique problem as there is no readily available population of victims or identical exposure setting. The purpose of this article is to describe the process of designing, planning, and executing a functional exercise to accomplish the research objective of validating an informatics tool specifically designed to identify and triage victims of irritant gas syndrome agents. Materials and Methods: During a 3-year time frame, the research team and partners developed the Emergency Department Informatics Computational Tool and planned a functional exercise to test it using medical records data from 298 patients seen in 1 emergency department following a chlorine gas exposure in 2005. Results: The research team learned valuable lessons throughout the planning process that will assist future researchers with developing a functional exercise to test informatics tools. Key considerations for a functional exercise include contributors, venue, and information technology needs (ie, hardware, software, and data collection methods). Discussion: Due to the nature of mass casualty incidents, testing informatics tools and technology for these incidents is challenging. Previous studies have shown a functional exercise as a viable option to test informatics tools developed for use during mass casualty incidents. Conclusion: Utilizing a functional exercise to test new mass casualty management technology and informatics tools involves a painstaking and complex planning process; however, it does allow researchers to address issues inherent in studying informatics tools for mas casualty incidents.

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APA

Donevant, S. B., Svendsen, E. R., Richter, J. V., Tavakoli, A. S., Craig, J. B. R., Boltin, N. D., … Culley, J. M. (2019). Designing and executing a functional exercise to test a novel informatics tool for mass casualty triage. Journal of the American Medical Informatics Association, 26(10), 1091–1098. https://doi.org/10.1093/jamia/ocz087

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