Human Factors Healthcare Lab

The Human Factors Healthcare lab is dedicated to the study of the interaction between clinicians and healthcare systems. Through diverse interdisciplinary research, the lab aims to enhance our comprehension of the capabilities and limitations of healthcare professionals, the features of the healthcare environment, and their interactions. Ultimately, the lab aims to improve system efficiency and patient safety.
We are utilizing cognitive systems engineering tools and methods to investigate the cognitive strategies that humans employ to manage uncertainty, incomplete or conflicting information, and interactions with information while facing high cognitive workload such as visual displays, alarm systems, and trust in automation.
Our current research focuses on improving our understanding of clinicians' mental models and decision-making processes during emergency situations and uncertain conditions, where clinicians are required to make decisions based on incomplete information. Our objective is to enhance safety by design through the implementation of design changes that would improve decision-making and ultimately lead to better patient safety.

Current research projects
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Commanders’ Decision-Making During Mass-Casualty Incidents
Modeling emergency medical services (EMS) commander's decision-making process during mass-casualty incidents

Using supplementary visual patterns to improve medication labels identification 
Investigating the improvement in medication identification through the use of labels enriched with visual patterns

Using deep learning to identify medication containers
Improving medication safety through an apparatus that use a visual classifier to distinguish between medication containers, for the use of clinicians at hospitals' wards

Implementing Safety II
How to identify and learn from successful safety features