Engaging patients in AI governance

BMJ Digital Health & AI 2026 Open access

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Authors: Michelle M. Mello, Sudip Nag, Chiquita Theresa Tuttle, Danton S. Char
DOI: 10.1136/bmjdh-2026-000099
Cited by: 2
References: 5

Abstract

Healthcare organisations worldwide face pressure to ensure their artificial intelligence (AI) tools are effective, safe and equitable. Although patients are the primary intended beneficiaries of AI governance efforts, they are largely excluded from governance processes in US healthcare organisations, which are dominated by clinicians, data scientists and ethicists.1 2 Our experience engaging and participating as patient representatives in AI governance at Stanford Health Care3 demonstrates that, notwithstanding the technical complexities of AI governance, patient engagement is feasible and valuable.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Ethics and Social Impacts of AI Mental Health and Patient Involvement

Publication details

Journal / source
BMJ Digital Health & AI
Publisher
BMJ
Volume
2
Issue
1
Pages
e000099–e000099
Publication date
1 April 2026
Language
EN