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A curated shelf of books touching on digital health, AI in medicine, telehealth, and the broader transformation of healthcare — for clinicians, founders, investors, and anyone shaping the field.
Books are still where ideas land deepest. This shelf gathers recently published volumes that explain how digital health is reshaping clinical care, how AI is being applied to medicine, and how the next generation of healthcare companies is being built. Each entry links to its Amazon listing.
Books for clinicians and healthcare leaders navigating digital transformation in care delivery, EHRs, telemedicine, and the home-as-clinic shift.
A tenured healthcare executive and entrepreneur shares hard-won takeaways for staying on top of the rapid digital transformation in healthcare. Discover the perspective of a healthcare provider, payer, and pioneer through consolidated knowledge from a journey across the health industry.
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Modern medicine produces miracles — but also delivers care that is too often unsafe, unreliable, unsatisfying, and impossibly expensive. After healthcare went digital, a new question emerged: why are doctors no longer making eye contact with patients? A riveting prescription for getting it right.
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Health care delivery is shifting away from the clinic and into the home. This volume reflects on the explosion of at-home digital health care — wearable sensors, ambient surveillance, smart pills, virtual visits — and explores the ethical, legal, regulatory, and reimbursement impacts of moving away from the 20th-century focus on clinics and hospitals.
View on AmazonBooks exploring how generative AI, large language models, sensors, and predictive analytics are reshaping clinical practice, the doctor–patient relationship, and the future of healthcare delivery.
From the author of The Digital Doctor comes an engaging, clear-eyed, and ultimately hopeful examination of healthcare’s embrace of generative AI. Wachter argues that in a system buckling under bureaucratic pressures, soaring costs, and clinician burnout, AI doesn’t need to be perfect — only better. Drawn from 100+ interviews with pioneers across medicine, technology, policy, and business.
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Three insiders — Microsoft’s VP of Research, a longtime medical journalist, and Harvard’s biomedical informatics chair — reveal GPT-4’s potential to improve diagnoses, summarize patient visits, accelerate research, and transform medicine. Real, unrehearsed AI dialogues annotated with candid commentary on what these models can do, what they can’t, and what they shouldn’t.
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The former CEO of Kaiser Permanente’s physician group teams up with ChatGPT itself as co-author to examine generative AI’s transformative power in medicine. Pearl makes the case that AI can democratize medical expertise, reduce errors, ease clinician burden, and help patients reclaim control. All profits benefit Doctors Without Borders.
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A Harvard cardiologist (and Mass General clinical director) maps the digital shift transforming medicine. Future care is virtual: sensor-aided, digitally enabled, and powered by predictive analytics. Singh explores wearables, AI, and virtual care through cutting-edge science, big-idea projections, and patient stories. Foreword by Siddhartha Mukherjee.
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A bold blueprint for transforming health and care from the former Chief Health Officer at Oracle and COO at UCI Health. Afsar argues for unifying clinical, behavioral, environmental, and genetic data, then applying AI to move from a fragmented, reactive model to one that is personalized, predictive, preventive, and participatory. Endorsed by Karen DeSalvo, David Feinberg, and Marc Harrison.
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The foundational text on AI in medicine from Scripps’ Eric Topol. Topol argues AI can free physicians from rote tasks — notetaking, scans, screening — to restore the doctor-patient relationship that EHRs broke. Endorsed by Siddhartha Mukherjee, Andrew Ng, and Kai-Fu Lee, this remains the canonical primer on deep learning’s clinical potential.
View on AmazonBooks that drill into a single clinical specialty or technology area — how digital health, AI, and connected devices are reshaping a specific field.
Explains how to develop and use digital health, telehealth, and AI to address diabetes — deploying new hardware, software, and processes. Essential for clinicians, scientists, engineers, industry professionals, regulators, and investors building the next generation of precision medicine for diabetes management.
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A Cedars-Sinai physician and director of one of the world’s largest therapeutic VR programs reveals virtual medicine’s groundbreaking potential. Spiegel shows how a simple VR headset can ease burn pain, address PTSD and schizophrenia, restore function in dementia, and reshape pain management in an age of overprescribing. With a foreword-style endorsement from Daniel Kraft, MD.
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A New York Times bestseller (and FT/Guardian Book of the Year 2025) from Scripps’ Eric Topol, mapping the breakthroughs reshaping human longevity — across lifestyle, cells, omics, AI, and drugs/vaccines. Topol cuts through longevity hype to show evidence-based interventions that extend healthspan, with deep coverage of AI’s role in genomic risk prediction and personalized prevention.
View on AmazonBooks for founders, executives, investors, and policymakers shaping the digital health industry — market dynamics, startup strategy, and the broader transformation of healthcare delivery.
Digital disruption in healthcare is generating new technologies, applications, and large data sets, precipitating significant changes in healthcare processes. This volume addresses technology, applications, data, and process aspects of digital disruption — highlighting the benefits, barriers, facilitators, and transformative forces shaping healthcare’s digital evolution.
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A guidebook for founders identifying blind spots and avoiding the most common pitfalls of starting a digital health company. Walks through the typical early-stage life cycle — from ideation through first customer deals — with best practices at each stage. Drawn from time spent with founders, VCs, and prospective digital health startups.
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A hands-on roadmap for digital health entrepreneurs and clinicians contemplating the founder path. Covers regulatory affairs, IP protection across software and hardware, financing a digital health startup, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability. Interdisciplinary, practical, and structured for clinician-founders.
View on AmazonKnow a great recently-published book on digital health, AI in medicine, or healthcare innovation that should be on this shelf? Let us know.
Last reviewed and updated . Curated by Digital.Health. As an Amazon Associate, Digital.Health may earn from qualifying purchases at no additional cost to readers.
