Peer-Reviewed Publication
JAMIA Open2026;9(5):ooag175.October 1, 2026Journal Article

Optimizing generative artificial intelligence for clinical summarization: a blinded comparison study of automated versus human care planning synopses.

David A Dorr1, Nicole G Weiskopf1, Jean M Sabile1, Emma Young1, Dylan Mathis1, Samantha L Weller1, Jacob Alex1, Kimberly Doerr1, Steven Bedrick1
1Division of Informatics, Clinical Epidemiology, and Translational Data Science, Oregon Health & Science University, Portland, OR 97239, United States.

Abstract

BACKGROUND: Data, information, and knowledge in health care has expanded exponentially over the past 50 years, leading to significant challenges with information overload and complex, fragmented care plans. Generative artificial intelligence (AI) has the potential to facilitate summarization and integration of knowledge to enable efficient care planning and reduce cognitive load of clinicians. OB…

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.

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.