Artificial Intelligence in Correctional Health Care—Designing for Access, Inclusion, and Trust

Lawrence A. Haber; Urmimala Sarkar; Brie A. Williams

doi:10.1001/jamainternmed.2026.3471

August 3, 2026JAMA Internal Medicine

Artificial Intelligence in Correctional Health Care—Designing for Access, Inclusion, and Trust

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Key Points

This viewpoint aims to understand how artificial intelligence can affect health equity in correctional healthcare systems.
Analyzed the potential impacts of AI on correctional health inequities.
Outlined necessary policy considerations for implementation.
Discussed the importance of access and inclusion in health technologies.
Identified ways AI may both mitigate and exacerbate inequities in correctional health.
Highlighted the need for policies that prioritize health equity in technology implementation.

Implication

Viewpoint explores the role of AI in correcting health inequities for incarcerated populations, suggesting critical policies.

Abstract

This Viewpoint explores how artificial intelligence may mitigate or exacerbate inequities in correctional health systems and outlines policy and implementation considerations necessary to ensure health equity for incarcerated populations.

Discussion

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Cite This Study

Haber et al. (2026) studied this question.

synapsesocial.com/papers/6a72e823226790f370657bec https://doi.org/10.1001/jamainternmed.2026.3471

View at Publisher

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Artificial Intelligence in Correctional Health Care—Designing for Access, Inclusion, and Trust

Key Points

Implication

Abstract

Discussion

Cite This Study

Artificial Intelligence in Correctional Health Care—Designing for Access, Inclusion, and Trust

Key Points

Implication

Abstract

Discussion

Cite This Study

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