In episode 8 of ReBootHealth, I speak with Muhammad Mamdani. Muhammad is Professor of Medicine at the University of Toronto and Vice-President of Data Science and Advanced Analytics at Unity Health Toronto. Muhammad bridges advanced analytics including machine learning with clinical and management decision-making to improve patient outcomes and hospital efficiency. I brought Muhammad on for 2 main reasons; one to shine a light on the great work being done by healthcare organizations in AI and health care and the second, to understand the more neglected parts of the exciting health innovation journey--technology evaluation and change management. Muhammad and his team have produced some amazing results through multiple projects at Unity Health. What struck me most was not the emphasis on specific data sets or ML models, but rather the impact of social buy-in and change as one of the most dominant factors for technology success. If you’re entering the field of ML/data helps to remember that this is still a ‘people industry’. As always, I hope you find the episode valuable.

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Episode recorded on August 19, 2021.

08:30—Understanding the data life cycle in healthcare.

16:35—Creating excitement around AI within the health system.

24:45—The ‘social game’ of technology deployment.

27:48—Will change happen outside-in or inside-out?

30:46—What clinicians need to know about the models.

37:33—How does evidence play a role in AI technology.

44:40—How role of regulators and change management.