About Dr. Joseph Cafazzo

Dr. Cafazzo is the Executive Director of Biomedical Engineering and Health Systems at UHN and the founder of Healthcare Human Factors, North America’s largest health-focused human factors team. He is also a Professor at the University of Toronto’s Institute of Health Policy, Management and Evaluation (IHPME), where he trains future healthcare leaders in system design and quality improvement. His work bridges engineering, human-centred design, and policy to bring meaningful change to patient care.

🔗 Guest Profile and Links
🔹 Dr. Joseph Cafazzo – Human Factors & Healthcare Innovation
Website: https://humanfactors.ca/profile/joseph-cafazzo/
UHN Research Profile: https://www.uhnresearch.ca/researcher/joseph-cafazzo
University of Toronto Profile: https://discover.research.utoronto.ca/21414-joseph-cafazzo

📺 Watch the Episode
Full Episode: https://www.youtube.com/watch?v=p1KaxO6zsqw&t=106s

In this episode, we delve into the hesitancy surrounding the adoption of AI in healthcare and discuss the potential benefits it can bring. The conversation covers the inevitability of AI's integration into healthcare, the challenges of current status quo complacency, and the specific advantages AI offers, such as real-time data monitoring, improved access to treatments, and mitigating low-value care. Examples from projects at St. Michael's Hospital and initiatives in Uganda highlight AI's ability to augment the work of healthcare providers and improve patient outcomes, especially in resource-limited settings. The discussion also touches on addressing human cognitive biases and designing AI with usability in mind to improve both patient safety and system efficiency.

Chapters:

00:00 The Necessity of Innovation in Healthcare

01:45 The Role of AI in Enhancing Patient Care

03:11 Challenges and Hesitations in AI Adoption

05:24 Human Bias vs. AI Objectivity

07:15 AI as a Multispecialty Augmentation Tool

13:08 AI's Potential in Low-Resource Settings

16:22 Future Prospects and Personal Reflections

Referenced Research:

Torous J, et al. Artificial intelligence in psychiatry: balancing optimism with realism. PMCID: PMC11010755Ming D, et al. Artificial intelligence in low-resource settings. PMCID: PMC8784036Giduthuri JG, et al. Digital health in global health equity. Nature Humanities & Social Sciences CommunicationsCafazzo JA, St-Cyr O.

From discovery to design: the evolution of human factors in healthcare. PMCID: PMC12007257Kellermann AL, Jones SS. What it will take to achieve the as-yet-unfulfilled promises of health IT. PMCID: PMC10301994Fagerlund AJ, et al. Educating for digital health: a mixed methods study on simulated learning environments in health professional education. BMC Med Educ

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