Green AI for Telehealth

Telehealth is increasingly supported by connected devices, remote monitoring, Artificial Intelligence (AI), and distributed computing. These tools can extend access and support more responsive care, but their computational and environmental demands are rarely considered alongside clinical and organizational needs. We describe the current Canadian telehealth landscape, including remote care management, virtual visits, patient portals, and remote monitoring, and identify opportunities and gaps for AI integration. We then define Green AI in healthcare and explain how an IoT-fog-cloud architecture can support resource-aware telehealth. For health leaders, Green AI is not only an engineering issue. It affects procurement, infrastructure planning, workforce capacity, clinical workflow, environmental responsibility, and equity. Evaluation should consider clinical performance, resource use, organizational fit, and sustainability. Responsible AI-enabled telehealth requires more than technical performance. A Green AI perspective can help health organizations improve computational efficiency while maintaining patient safety, usable workflows, resilience, and equitable access.

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Publication Details

Journal
Healthcare Management Forum
Published
2026-11-02
DOI
https://doi.org/10.1177/08404704261501131
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
0.00
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article

Green AI for Telehealth

Andre William Kushniruk, Nathan Guo, Elizabeth Marie Borycki, Yunyong Guo et al.
1 links
Healthcare Management Forum
Telemedicine and Telehealth Implementation
article

Green AI for Telehealth

Andre William Kushniruk, Nathan Guo, Elizabeth Marie Borycki, Yunyong Guo, Bryan Guo
article en

Abstract

Telehealth is increasingly supported by connected devices, remote monitoring, Artificial Intelligence (AI), and distributed computing. These tools can extend access and support more responsive care, but their computational and environmental demands are rarely considered alongside clinical and organizational needs. We describe the current Canadian telehealth landscape, including remote care management, virtual visits, patient portals, and remote monitoring, and identify opportunities and gaps for AI integration. We then define Green AI in healthcare and explain how an IoT-fog-cloud architecture can support resource-aware telehealth. For health leaders, Green AI is not only an engineering issue. It affects procurement, infrastructure planning, workforce capacity, clinical workflow, environmental responsibility, and equity. Evaluation should consider clinical performance, resource use, organizational fit, and sustainability. Responsible AI-enabled telehealth requires more than technical performance. A Green AI perspective can help health organizations improve computational efficiency while maintaining patient safety, usable workflows, resilience, and equitable access.

Healthcare Management Forum
University of Victoria (CA), Institute on Aging & Lifelong Health (CA)
Good health and well-being, Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Telemedicine and Telehealth Implementation
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