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

Viewpoint and Opinions on Technology and Innovation in Public Health (215) Policy and Policy Proposals (326) Ethics, Privacy, and Legal Issues (853) E-Health Policy and Health Systems Innovation (557) Public (e)Health, Digital Epidemiology and Public Health Informatics (2423) Public Health Informatics (594) Artificial Intelligence (5115)

Published on in Vol 12 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88470, first published .
Doctor in lab coat with laptop, surrounded by medical scans and data visualizations.

Integrating AI Into Governmental Public Health Decision Making: Challenges, Considerations, and a Path Forward

Integrating AI Into Governmental Public Health Decision Making: Challenges, Considerations, and a Path Forward

Authors of this article:

Elizabeth Campbell1 Author Orcid Image ;   Oluremilekun Oyefolu1 Author Orcid Image ;   Sarah Gillani1 Author Orcid Image ;   Hannah Goodtree1 Author Orcid Image ;   Alison Kelly1 Author Orcid Image ;   Caitlin Rivers1 Author Orcid Image ;   Crystal Watson1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Adam M, Axmed Osmaan A, Mohamed M, Cali M, Khalif I. Predicting pandemics, predicting people: the ethical limits of AI-powered public health surveillance. Frontiers in Public Health 2026;14 View
  2. Wu H, Yang T, Shi B. Artificial intelligence in multidisciplinary and cross-sector public health practice: A scoping review. Public Health 2026;260:106529 View