STAT+: Why this former ER doc thinks giving AI less information is sometimes better
In this edition of AI Prognosis: A conversation with Graham Walker, co-founder of MDCalc, about the company's new AI tool.
In the rapidly evolving world of clinical AI, one former emergency room doctor believes that less information may be the better approach. Epic, traditionally known for being a system of record, is now making a push to display clinical recommendations. Abridge, which initially began as an ambient scribe, is seeking access to patients' insurance information.
OpenEvidence, originally focused on answering clinical questions, is now requesting access to patient records and visits in order to provide personalized recommendations.
This trend of AI platforms vying for more data is reminiscent of the recent failures of heart drugs, which may have implications for the future of AI in drug discovery. The author, a former ER doctor, expresses concern that giving AI platforms too much information could be counterproductive.
If you have questions about AI in pharma, particularly in light of heart drug failures, the author invites readers to reach out for an interview with executives from Novartis and Johnson & Johnson at the upcoming HLTH conference. Additionally, the author will be hosting a STAT stage takeover at HLTH, where they will speak with Aneesh Chopra, Brendan Keeler, Epic executives Antonia Papajani and Seth Howard.
Written by urgent.news from STAT News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.