Wayan Vota, Intehealth

Topic: TrustRx: Overcoming Resistance to AI in Clinical Diagnosis and Patient Care in India 

AI is rapidly becoming more accurate than human doctors in diagnosing diseases such as tuberculosis, jaundice, and diabetes. Yet in India, where overburdened healthcare systems could benefit most from clinical AI, adoption faces a critical bottleneck: trust.

Doctors fear being replaced or held liable for algorithmic errors. Patients, especially in low-resource or rural settings, are wary of "machine medicine" and prefer human touch over data-driven precision. We'll explore the cultural, institutional, and behavioral roadblocks to integrating AI into frontline healthcare, and share practical strategies to overcome them.

Drawing from a real-world telemedicine deployment in India and AI-assisted diagnostic pilots, we'll dive into lessons on earning clinician buy-in, enhancing patient communication, and embedding AI recommendations into clinical workflows without undermining provider authority. We’ll also examine how regulatory frameworks, liability norms, and data transparency shape trust in AI tools