We apply Human Factors (HF) methods and approaches to evaluate and optimise health technologies to support healthcare work and improve patient safety.
The Digital Health Human Factors Research Group is a part of the University of Sydney Susan Wakil School of Nursing and Midwifery.
Our research seeks to understand and improve the interactions between users, health technologies and organisations using mixed-methods approaches. For example: time and motion methodology, expert heuristic evaluations (usability analysis), usability testing, incident analysis, surveys, clinical audit, literature review, structured, semi-structured and open-ended interviews, focus groups, and structured and semi-structured observations.
We have expertise in the design, implementation and evaluation of a range of technologies and systems, including:
Professor Melissa Baysari leads the NHMRC Centre of Research Excellence (CRE) in Human Factors and AI-enabled Clinical Decision Support, a $3M national initiative focused on improving the design, implementation and evaluation of AI-enabled clinical decision support (CDS) systems.
The CRE aims to create a paradigm shift in the way AI-enabled CDS is designed, implemented, and evaluated, ensuring CDS systems are designed around the capabilities, limitations, needs and preferences of users.
Professor Baysari lead a multi-disciplinary team of experts in Human Factors and Ergonomics, CDS and AI and take a systems thinking approach to maximise the benefits and minimise the risks of AI-enabled CDS.
The Centre operates across three hubs: the University of Sydney, Macquarie University and the University of the Sunshine Coast. Fellow Chief Investigators from the University of Sydney include Professor Sarah Hilmer and Professor Tom Snelling.
The Digital Health Human Factors Research Group regularly collaborates with industry partners, local health districts and government. Some of our partners include:
Mailing address
Level 8 West Wing
Susan Wakil Health Building (D18)
The University of Sydney
NSW, 2006
