aceAn 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
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…
In five intervention villages, every symptomatic person received a teleconsultation, while only 38.5% of symptomatic people in comparison villages accessed formal healthcare.
The authors describe the model as only associated with improved access, and workers faced technical disruptions, so causal effects and the specific contribution of AI remain unestablished.
Evidence
- Peer-reviewedPreventive Medicine Reports2026-10-01
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Truvace Impact Record TRV-2026-1501, v1: “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.” Truvace, 2026-10-15. /record/TRV-2026-1501 (accessed at citation time). sha256 657ba612ce62098e…
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