AI in Patient Care: Interview Highlights

See how artificial intelligence is transforming the patient experience. These short clips highlight real-world applications in of AI in patient care, including in diagnosis, clinical workflows, and personalized care, offering practical insights from leading physicians and technologists.

In this information-packed interview, Emily Lewis shares a compelling vision for the future of AI in patient care. Drawing from her work in machine learning and generative AI, Lewis highlights how these tools are not just enhancing clinician efficiency but reshaping how patients engage with their own health. She explains how multimodal AI applications, from avatars to audio interfaces, can personalize communication based on learning preferences. Lewis emphasizes AI’s potential to foster equitable partnerships between patients and clinicians. The conversation also explores patient education, self-care, and the structural hurdles of deploying AI across institutions. With attention to AI for patient engagement and AI-driven personalized care, Lewis offers a deeply insightful look into the systems and safeguards necessary for responsible AI implementation.

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From Interview #83

How AI Could Change a Doctor’s Daily Workflow

With Pelu Tran

In this insightful discussion, Pelu Tran explores the practical role of artificial intelligence in enhancing clinician productivity and navigating the widespread inefficiencies in healthcare. Drawing from Ferrum Health’s platform, Tran explains how AI enables faster diagnosis, supports care coordination, and amplifies provider capacity—particularly in overburdened fields like radiology. He also highlights the real cost of AI adoption, pointing to the significant resources required to integrate AI into existing healthcare systems. This conversation sheds light on the evolving impact of AI for healthcare productivity and reframes the debate: it’s not just about quality vs. efficiency—it’s about enabling clinicians to sustain care at scale.

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From Interview #80

Why Early Cancer Detection Must Come First

With Dr. Azra Raza

In this compelling interview, Dr. Azra Raza challenges the traditional focus of oncology, arguing that early cancer detection should be the central pillar of cancer research and treatment. Sharing her personal journey as an immigrant and oncologist, Dr. Raza critiques the widespread reliance on animal models and late-stage therapies, advocating instead for the study of human tissue and the identification of disease at its earliest stages. Her lifelong work in hematologic malignancies, particularly myelodysplastic syndromes, underscores the urgency of this shift. By focusing on “the first cell” rather than the last, she highlights how early intervention could dramatically reduce suffering and improve survival—raising critical questions about current priorities in cancer care and the persistent challenges in cancer treatment.

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From Interview #82

Will AI Replace Doctors? David Norris Weighs In

With David Norris

Can AI replace doctors—or is it here to restore what’s been lost in medicine? David Norris, CEO of Affineon Health, tackles this provocative question with depth and clarity. Far from eliminating physicians, Norris argues that AI solutions are essential for addressing physician burnout, streamlining administrative tasks, and reviving the human relationship between doctors and patients. He illustrates how AI, like Affineon’s $2.50/day AI assistant, can triage clinical inboxes, flag clinically significant lab trends, and bring 10 years of patient history into a three-second review—freeing doctors to focus on what matters most. This conversation is a must-watch for anyone curious about how AI is reshaping the future of care.

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From Interview #91

AI Scribes in Healthcare: Benefits, Challenges, and ROI

With Dr. Spencer Dorn

In this in-depth conversation, Dr. Spencer Dorn, Vice Chair and Professor of Medicine at the University of North Carolina, explores the evolving role of AI scribes in healthcare. He examines their ability to reduce clinician burnout, improve patient experience, and integrate into EHR systems. Dr. Dorn discusses both the potential for clinical decision support and the limitations of current AI scribe technology, including contextual awareness, coding accuracy, and ROI considerations. He also reflects on broader AI risks, from critical thinking erosion to the impact on patient-clinician relationships, offering a nuanced roadmap for responsible adoption.

 
 
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From Interview #82

How can AI Reduce Healthcare Admin Burden?

With David Norris

In this full interview, David Norris, Co-Founder and CEO at Affineon Health, shares how AI is revolutionizing healthcare administration by reducing the overwhelming burden of lab result management, documentation, and communication. Norris discusses how AI agents can triage clinical inboxes, prioritize urgent results, and even engage patients directly, allowing providers to focus on meaningful patient care rather than administrative overload. He highlights the impact on burnout reduction, the potential for preventive interventions, and how AI tools can level up both physicians and advanced practice providers by surfacing actionable insights from vast longitudinal data. This conversation offers practical solutions for integrating AI into healthcare workflows.

 
 

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