In the seventh episode of ReBootHealth, I speak with Avi Goldfarb. Avi is Professor of Marketing and the Rotman Chair of Artificial Intelligence and Healthcare at the University of Toronto. He is also co-author of the Book Prediction Machines: The Simple Economics of Artificial Intelligence. This interview with Avi was fascinating as he unpacked AI and healthcare through an economic lens. The content in this episode won’t help you build a better AI but it will do one better—help set the context for the profound impact of AI on the business and structure of healthcare. We talked about AI’s impact on the anatomy of a decision, the pace of adoption in healthcare, its potential role in clinical medicine and design implications, and a utopian/dystopian view of the future of health. I highly recommend Avi’s book (linked below) for a novel way to view AI without all the hype and buzz. I must admit that this episode was quite enjoyable to research as it opened a whole new perspective for me. I promise it will do the same for you. As always, I hope you find the episode valuable.
Prediction Machines: The Simple Economics of Artificial Intelligence
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Episode recorded on August 13, 2021.
05:00—AI and its role in decision-making and healthcare.
15:04—Estimating the pace of change for AI in medicine.
19:20—How to capture value with AI.
27:10—Applying lessons of the past and present to AI adoption.
39:40—Decision support versus automation.
44:15—How to design technology for the task.
47:31—Will 'ship-to-shop’ apply to healthcare?
54:27—Canada’s status in AI/healthcare.