Artificial Intelligence Software Among Commercially Insured Populations: A Cross-Sectional Study of Patient and Plan Characteristics (Preprint)

2026 Preprint Open access

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Authors: Elsa Zhang, Yujia Jin, Ching-Ching Lin, Raymond Nien-Chen Kuo, Joshua M Liao
DOI: 10.2196/preprints.92726
Cited by: 0

Abstract

UNSTRUCTURED We describe adoption of AI software among commercially insured adults from 2018–2023 and find rapid growth but variable use across patient, plan, and regional characteristics, highlighting the need for research and policy to support equitable and beneficial adoption.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Healthcare Policy and Management Electronic Health Records Systems

Publication details

Publication date
2 February 2026
Document type
Preprint