Priyadarshini Pennathur, Ph.D.
Associate Professor, Department of Industrial and Systems Engineering & the Department of Internal Medicine
University of Iowa
Abstract: Human Factors Engineering Research Challenges and Opportunities in Healthcare and Office Work Systems
In my talk, I will share insights from my work in three research streams encompassing cognitive work and healthcare information systems, the role of artificial intelligence in the future of office work and infection prevention and personal protective equipment. First, from a series of my NIH and NSF supported studies in emergency rooms, intensive care units, and inpatient units, and more recently in COVID-19 triage call centers, I will discuss how healthcare workers use information and information technologies for their work and highlight how we could better support their work with human factors engineering and design. Second, I will share my vision for the future of office work in the AI age, and present a roadmap for how human factors could support a more effective transformation to the AI office of the future. Third, from work supported by CDC, I will share research in evaluating the relationship between personal protective equipment and self-contamination risk, and demonstrate how poor design can reduce effectiveness of healthcare workers’ donning and doffing practices.
About Priyadarshini Pennathur, Ph.D.
Dr. Priyadarshini Pennathur is an Associate Professor in the Department of Industrial and Systems Engineering, and the Department of Internal Medicine at the University of Iowa. After receiving her doctoral degree in Industrial and Systems Engineering from SUNY at Buffalo in 2010, she spent two years as a post-doctoral research scholar at Armstrong Institute for Patient Safety and Quality at Johns Hopkins before joining University of Iowa faculty in 2012. Her research interests include cognitive engineering, information systems, with applications in healthcare systems, office work and DEI. In particular, her research focuses on understanding how healthcare workers use information and information systems to support their cognitive work. Her more recent research interests include understanding the role of artificial intelligence in the office of the future, and examining barriers and facilitators for URM undergraduate engineering student success. She is a scientific editor in Applied Ergonomics and associate editor in IISE Transactions in Healthcare Systems Engineering. She is the 2018 recipient of the Dr. Hamed K. Eldin Outstanding Early Career IE in Academic Award from the Institute of Industrial Systems Engineers.
Tune in via Zoom:
Meeting ID: 975 8764 4164
Department of Industrial & Systems Engineering