Toward Improving Surgical Outcomes by Incorporating Cognitive Load Measurement into Process-Driven Guidance

Software Engineering in Healthcare Systems (SEHS), IEEE/ACM International Workshop on
George S AvruninMarco A Zenati

Abstract

This paper summarizes the accomplishments and recent directions of our medical safety project. Our process-based approach uses a detailed, rigorously-defined, and carefully validated process model to provide a dynamically updated, context-aware and thus, "Smart" Checklist to help process performers understand and manage their pending tasks [7]. This paper focuses on support for teams of performers, working independently as well as in close collaboration, in stressful situations that are life critical. Our recent work has three main thrusts: provide effective real-time guidance for closely collaborating teams; develop and evaluate techniques for measuring cognitive load based on biometric observations and human surveys; and, using these measurements plus analysis and discrete event process simulation, predict cognitive load throughout the process model and propose process modifications to help performers better manage high cognitive load situations. This project is a collaboration among software engineers, surgical team members, human factors researchers, and medical equipment instrumentation experts. Experimental prototype capabilities are being built and evaluated based upon process models of two cardiovascular surgery process...Continue Reading

Citations

Sep 30, 2020·Minerva cardioangiologica·Roger D DiasMarco A Zenati
Jun 9, 2021·Surgical Endoscopy·Ahmed EzzatGeorge Mylonas

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