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This paper is in the following e-collection/theme issue:

Artificial Intelligence (4930) Clinical Information and Decision Making (3843) Public (e)Health, Digital Epidemiology and Public Health Informatics (2349) Big Data (444) Descriptive Epidemiology and Population Size Estimates (237) Secondary Use of Clinical Data for Research and Surveillance (647)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100284, first published .
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Agentic AI for Clinical Outcomes Research, Population Health Management Analyses With Large Administrative Databases, and Generating Epidemiological Estimates of Diseases: Feasibility and Validation Study

Agentic AI for Clinical Outcomes Research, Population Health Management Analyses With Large Administrative Databases, and Generating Epidemiological Estimates of Diseases: Feasibility and Validation Study

Authors of this article:

Daniel Frisch1 Author Orcid Image ;   Michael Fronstin2 Author Orcid Image ;   Carla Zema3 Author Orcid Image
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Daniel Frisch   1 , MD, FHRS, FACC ;   Michael Fronstin   2 , MBA ;   Carla Zema   3 , PhD

1 Bruce & Robbi Toll Heart and Vascular Institute, Division of Cardiology, Thomas Jefferson University, Philadelphia, PA, United States

2 Vireo Strategies, Philadelphia, PA, United States

3 Zema Consulting, Athens, AL, United States

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