We've learned from previous guests that machine learning and other forms of AI are helping to identify better disease treatments, get drugs to market faster, and spot health problems before they get out of hand. But what if they could also help patients find the best doctors for them, and help doctors frame their advice in a way that patients can relate to? This week, Harry's guest, Briana Brownell, talks about the computational tools her company Pure Strategy is building to find patterns in people’s personal preferences or cultural identities that can enable better matchmaking between patients and doctors, predict which patients are most likely or least likely to go along with a treatment plan, or help doctors communicate their recommendations better. "Not everybody makes decisions in the same way," Brownell says. "Not everybody values the same things. But by understanding some of those psychological and value-based drivers, we can get better health care outcomes."
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