In this episode of Digital Health Inside Out, we sit down with Amit Phull, MD, Chief Clinical Experience Officer at Doximity, to discuss the next era of clinical AI, physician workflows, and what it really takes to build technology that doctors can trust.Amit shares his journey from emergency medicine and computer science to joining Doximity in its early days, how the company evolved from “LinkedIn for doctors” into a clinical workflow platform, and why user feedback from physicians remains central to Doximity’s product strategy.We discuss Doximity’s Clinical AI Suite, Doximity Ask, the acquisition of Pathway, the role of knowledge graphs and retrieval in clinical AI, and the company’s Peer Check initiative, where thousands of physicians review AI-generated clinical answers. Amit also explains why trust, accuracy, and reliability are still the biggest barriers to AI adoption in healthcare.The conversation also covers telemedicine, ambient documentation, physician burnout, pharma advertising, enterprise healthcare partnerships, competition in clinical AI, and the ongoing debate around general-purpose AI models versus specialized healthcare AI tools.If you are building, investing in, or adopting healthcare AI, this interview offers a rare inside look at how one of the largest physician networks in the U.S. is approaching AI in medicine.Topics covered: Doximity’s evolution and “eras”Clinical AI Suite and Doximity AskPeer Check and physician-reviewed AI answersPathway’s clinical knowledge graphAI trust, accuracy, and reliability in healthcarePhysician burnout and administrative burdenTelemedicine and clinical workflow toolsCompetition in clinical AIThe future of AI in healthcareGuest:Amit Phull — Chief Clinical Experience Officer at Doximityhttps://www.linkedin.com/in/amit-phull-09931667/Co-Host:Alex Koshykov — CEO @ YODD, COO @ BeKey.io https://www.linkedin.com/in/alex-koshykov/Co-Host:Sergei Polevikov @sergeiAI — Founder of AI Health Uncuthttps://www.linkedin.com/in/sergeiai/
