In healthcare, we are overdue for a “Moneyball” revolution. The shift towards value-based payment has made it clear that our system needs to do a better job generating outcomes that matter to patients — a positive health-care experience, improved health, and good quality of life. The machine learning techniques that were used to algorithmically determine a player’s value were light-years ahead of the archaic methods that had been used in baseball up to that point. Similarly, many of our conventions in delivering care come from an era when healthcare was delivered primarily by doctors and nurses with elite training whose success depended mostly on content expertise. A key component to value-based transformation in healthcare will be artificial intelligence. Without AI, medicine will never advance to a state where the totality of a patient’s data can be used to find predictive signals that will lead to enhanced treatment and population health interventions that improve outcomes.

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Interested in learning more about what's next for AI in healthcare? Check out these related resources:

• What Happens if Healthcare Rejects New Tech like Machine Learning
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• A Healthcare Administrators’ Guide to AI

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