ArticlePreventive medicine reports2026
An assisted telemedicine model with digital diagnostics and artificial intelligence-supported clinical decision in hard-to-reach rural communities: a community-based mixed-methods study from Rajasthan, India.
Article in Preventive medicine reports, 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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Abstract
Objective: Hard-to-reach rural communities in India face persistent barriers to formal healthcare. This study evaluated an assisted telemedicine model integrating frontline health workers, portable digital diagnostics, and an artificial intelligence-supported clinical decision support system in rural Rajasthan. Methods: A community-based mixed-methods study was conducted in ten villages of Balotra district, Rajasthan between March 2024-Jan 2026. Five intervention villages received assisted teleconsultations with portable diagnostics, while five comparison villages underwent weekly household surveillance. Healthcare utilization was compared among 8374 consultation records (illness episodes). Qualitative evaluation included pre- and post-implementation interviews and a 10-month longitudinal assessment of frontline workers. Results: All symptomatic individuals in the intervention group ( Conclusions: This assisted telemedicine model was associated with healthcare access in hard-to-reach areas, demonstrating the feasibility of technology-enabled primary care delivery.
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