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December 18, 2019

Bright.md Digest: Is it possible to fix algorithmic bias?

Obviously, we’re big fans of technology and the promise it holds to improve healthcare for stakeholders on both sides of care. As you’ll see from the links below, we spent some time in our Slack conversations discussing its limitations this week. We’re not giving up, but we’re mindful of keeping the conversation human-centered.

Engaging patients through telehealth is not like “selling mattresses and razors.” In a recent podcast, Foley & Lardner’s Nathaniel Lacktman discussed the current state of direct-to-consumer telehealth and asynchronous telehealth policy with Quinn Shean, Managing Director at Tusk Strategies.

Direct to Consumer (DTC) Telehealth: Does the Industry Need More Regulation?

Racial discrimination enabled by algorithms sadly, but not surprisingly, does happen. Sendhil Mullainathan, co-author of studies that have documented such injustice, reflects in the New York Times on the differences between how algorithms and humans can respond when bias is uncovered.

Biased Algorithms Are Easier to Fix Than Biased People

Bright.md’s co-founder and CEO, Ray Costantini, recently weighed in on the hot topic of retail and technology entering the healthcare arena, where one thing is clear . . .

Patients want an Amazon experience in healthcare, but not from Amazon.

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