ArticleJournal of the American Medical Informatics Association : JAMIA2026
Sustainable artificial intelligence in global health: balancing promise, equity, and environmental realities in low- and middle-income countries.
Article in Journal of the American Medical Informatics Association : JAMIA, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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7 authors.
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Abstract
objectiveArtificial intelligence (AI) adoption in global health informatics is accelerating, yet scaling, sustainability, equity, and environmental challenges limit impact, particularly in Low and Middle Income Countries (LMICs). MATERIALS AND
methodsDrawing on experience from members of the American Medical Informatics Association Global Health Informatics and Climate, Health and Informatics Working Groups, we synthesized implementation, evaluation, sustainability, and governance considerations for AI in resource constrained health systems.
resultsWe propose a framework integrating four components: Green AI necessity assessments; a One Digital Health systems lens; pragmatic, workflow integrated evaluation; and federated governance supporting locally led stewardship and cross institutional learning. DISCUSSION: Sustainable AI requires moving beyond short term pilots to address infrastructure, environmental costs, workflow integration, equity, and locally relevant evidence.
conclusionFunders and implementers should prioritize durable infrastructure, strengthened health information systems, rigorous evidence generation, environmentally responsible deployment, and local stewardship to achieve scalable, equitable, and sustainable AI in global health.
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