
Travis Zack: How OpenEvidence Picks and Grades the Evidence
Get every episode summarized
Each time Practical AI in Healthcare publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
About this episode
Doctors hallucinate too. That's the provocation Travis Zack, MD, PhD, chief medical officer of OpenEvidence, brings to this conversation with Steve Labkoff and Leon Rozenblit. A physician with 20 patients and no time to look things up goes with their gut, and can get it wrong in the same ways a language model does. Travis explains why OpenEvidence was built on retrieving evidence rather than generating answers, what makes one set of references better than another, how it grades the strength of evidence behind an answer in real time, why health systems and EHR vendors act as gatekeepers, and why the last mile of a clinical decision still belongs to a human.
Get every episode summarized
Each time Practical AI in Healthcare publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Practical AI in Healthcare

Randi Seigel & Jared Augenstein: Healthcare AI Law
Practical AI in Healthcare

Greg Raiz: Data-Driven Early-Stage Investing
Practical AI in Healthcare

Raihan Faroqui, MD: The Doctor at the Front Desk, AI on the Line
Practical AI in Healthcare

S1, E50 - Jeremy Harper: The Broken Adoption Curve, Ambient Scribes Nobody Can A...
Practical AI in Healthcare