Comparison of Initial Artificial Intelligence (AI) and Final Physician Recommendations in AI-Assisted Virtual Urgent Care Visits.

Dan Zeltzer¹, Zehavi Kugler², Lior Hayat², Tamar Brufman², Ran Ilan Ber², Keren Leibovich², Tom Beer², Ilan Frank², Ran Shaul², Caroline Goldzweig³, Joshua Pevnick³

¹Tel Aviv University, Tel Aviv, Israel (D.Z.).

²K Health, New York, New York (Z.K., L.H., T.Brufman, R.I.B., K.L., T.Beer, I.F., R.S.).

³Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California (C.G., J.P.).

PubMed DOI

Abstract

BACKGROUND: Whether artificial intelligence (AI) assistance is associated with quality of care is uncertain. OBJECTIVE: To compare initial AI recommendations with final recommendations of physicians who had access to the AI recommendations and may or may not have viewed them. DESIGN: Retrospective cohort study. SETTING: Cedars-Sinai Connect, an AI-assisted virtual urgent care clinic with intake…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free Account Sign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.