ChatGPT is only so-so at letting physicians know if any given clinical study is relevant to their patient rosters and, as such, deserving of a full, time-consuming read. On the other hand ...
Imperfect algorithms. Resistant clinicians. Wary patients. Divisive disparities. The plot ingredients of a flashy techno-thriller coming to a cineplex near you? No—just a few of the many worries that provider organizations take on when they move to adopt AI at scale.
Given the speed at which generative AI has penetrated every major sector of human endeavor, no expert in any field should pretend to know how to cleanly separate the disruptors from the disrupted.
As healthcare AI opens new avenues to improve care quality without unduly increasing operational costs, the technology also expands potential exposure to civil and criminal liabilities. And that’s not only for providers but also payers and suppliers.
A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.