The essential reading list for digital health.

A curated shelf of 17 books on digital health, AI in medicine, telehealth, and the broader transformation of healthcare — for clinicians, founders, investors, and policymakers shaping the field.

Curated by Daniel Kraft, MD.

17Curated books
4Editorial categories
8Recent releases
May 2026Last updated

The field moves fast. The deepest arguments still live in books.

This curated shelf gathers the volumes shaping how the field thinks — on AI in medicine, the home as the new clinic, EHRs and clinician burnout, digital therapeutics, and what it takes to build a digital health company that actually scales. Each entry links directly to its Amazon listing.

01 · For Practitioners

The clinician’s shelf.

Books for clinicians and healthcare leaders navigating digital transformation in care delivery, EHRs, telemedicine, and the home-as-clinic shift.

The Digital Doctor book cover
Foundational EHRs

Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age
Best for: understanding how healthcare went digital — and why doctors stopped making eye contact with patients.

Modern medicine produces miracles — but also delivers care that is too often unsafe, unreliable, unsatisfying, and impossibly expensive. The definitive book on the unintended consequences of EHRs and the resulting clinician burnout.

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DigitalMD book cover
Innovation Executive

Unleash Your Healthcare Innovator Within
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Best for: clinicians thinking about moving into payer, provider, or startup leadership roles.

A tenured healthcare executive and entrepreneur shares hard-won takeaways for staying on top of the rapid digital transformation in healthcare — from the perspective of a provider, payer, and pioneer who has worked across the industry.

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Digital Health Care outside of Traditional Clinical Settings book cover
Policy Telehealth

Telehealth, wearables, and the home as the new clinic
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Best for: the legal, regulatory, and reimbursement implications of care delivery shifting to the home.

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.

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The Digital Reconstruction of Healthcare book cover
Health System Virtual Care

Transitioning from Brick and Mortar to Virtual Care
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Best for: the health-system CIO perspective on telemedicine, hospital-at-home, and separating hyped AI from evidence-based digital tools.

The President of Mayo Clinic Platform and Mayo senior research analyst Paul Cerrato map how patient care is transitioning from hospitals and clinics to virtual settings — telemedicine, hospital-at-home, remote sensing, clinical data analytics. Built on Halamka’s decades of international consulting with governments on digital health strategy.

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Augmented Health(care) book cover
Global Patient-Centered

The end of the beginning
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Best for: a European/global perspective on digital transformation, organizational resistance, and the consumerization of health.

Engelen — CEO of Transform.Health, founding director of Radboud UMC’s REshape Center, and Singularity University Exponential Medicine faculty — offers first-row observations on digital innovation, organizational resistance, and the often-neglected effects of consumerization. With contributions from Daniel Kraft, Simon Sinek, and ePatient Dave deBronkart.

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02 · AI & the Future of Medicine

Where AI meets the clinic.

Books 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.

A Giant Leap book cover
New addition Generative AI

How AI is Transforming Healthcare and What That Means for Our Future
Best for: the most current evenhanded primer on generative AI in healthcare, from the author of The Digital Doctor.

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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Deep Medicine book cover
Foundational Deep Learning

How Artificial Intelligence Can Make Healthcare Human Again
Best for: the canonical primer on AI’s clinical potential and how it could restore the doctor-patient relationship.

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.

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The AI Revolution in Medicine book cover
GPT-4 Insider

GPT-4 and Beyond
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Best for: an inside look at GPT-4’s medical capabilities, with annotated AI dialogues.

Three insiders — Microsoft’s VP of Research, a longtime medical journalist, and Harvard’s biomedical informatics chair — reveal GPT-4’s potential and limits. Real, unrehearsed AI dialogues annotated with candid commentary.

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Future Care book cover
Sensors Predictive

Sensors, Artificial Intelligence, and the Reinvention of Medicine
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Best for: the convergence of wearables, AI, and predictive analytics, told through clinical case studies.

A Harvard cardiologist and Mass General clinical director maps the digital shift transforming medicine: sensor-aided, digitally enabled, powered by predictive analytics. Foreword by Siddhartha Mukherjee.

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ChatGPT, MD book cover
Patient-Empowerment Generative AI

How AI-Empowered Patients & Doctors Can Take Back Control of American Medicine
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Best for: the patient-empowerment angle on generative AI in care.

The former CEO of Kaiser Permanente’s physician group teams up with ChatGPT itself as co-author to argue that AI can democratize medical expertise, reduce errors, and help patients reclaim control. All profits benefit Doctors Without Borders.

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Intelligent Health book cover
New addition Data & AI

The Movement to Unify Data, Harness AI, and Empower People to Thrive
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Best for: a system-level blueprint for unifying data and applying AI across health and care.

A blueprint 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.

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03 · Specialty & Domain

Going deep by domain.

Books that drill into a single clinical specialty or technology area — how digital health, AI, and connected devices are reshaping a specific field.

Super Agers book cover
Bestseller Longevity

An Evidence-Based Approach to Longevity
Best for: evidence-based longevity, AI-driven risk prediction, and personalized prevention.

A New York Times bestseller (and FT/Guardian Book of the Year 2025). Topol cuts through longevity hype to map evidence-based interventions across lifestyle, cells, omics, AI, and drugs/vaccines — with deep coverage of AI’s role in genomic risk prediction.

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VRx book cover
Virtual Reality Therapeutics

How Virtual Therapeutics Will Revolutionize Medicine
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Best for: the clinical evidence and case studies behind therapeutic VR.

A Cedars-Sinai physician and director of one of the world’s largest therapeutic VR programs reveals how a simple VR headset can ease burn pain, address PTSD and schizophrenia, restore function in dementia, and reshape pain management.

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Diabetes Digital Health, Telehealth, and Artificial Intelligence book cover
Diabetes Reference

1st Edition
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Best for: a comprehensive reference on digital health and AI applied to diabetes management.

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, regulators, and investors building the next generation of precision medicine for diabetes.

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04 · Industry & Strategy

For builders & investors.

Books for founders, executives, investors, and policymakers shaping the digital health industry — market dynamics, startup strategy, and the broader transformation of healthcare delivery.

The Startup Protocol book cover
Founder Practical

A Guide for Digital Health Startups to Bypass Pitfalls and Adopt Strategies That Work
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Best for: the early-stage digital health founder who wants a stage-by-stage practical guide.

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.

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Digital Health Entrepreneurship book cover
Founder Reference

2nd Edition (Health Informatics series)
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Best for: regulatory affairs, IP, financing, cybersecurity — the operating manual for clinician-founders.

A hands-on roadmap for digital health entrepreneurs and clinicians contemplating the founder path. Covers regulatory affairs, IP protection across software and hardware, financing, cybersecurity best practice, and digital health business model testing for desirability, feasibility, and viability.

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Digital Disruption in Healthcare book cover
Reference Edited Volume

Healthcare Delivery in the Information Age
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Best for: a survey of digital disruption’s technology, applications, data, and process dimensions.

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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Frequently asked

Questions readers ask.

What are the best books on digital health?
Foundational reads include Robert Wachter’s The Digital Doctor and his 2026 successor A Giant Leap on AI transforming healthcare, DigitalMD by Liz Kwo for the practitioner-innovator perspective, Future Care by Jag Singh on sensors and AI, and The AI Revolution in Medicine (Lee, Goldberg, Kohane) for an inside look at GPT-4 in medicine. For founders, The Startup Protocol by Sally Frank and Digital Health Entrepreneurship (Wulfovich and Meyers) are the practical guides.
What should a digital health founder read first?
The Startup Protocol by Sally Frank is purpose-built for digital health founders — a practical walk through the early-stage lifecycle. Pair it with Digital Health Entrepreneurship (Wulfovich and Meyers) for deeper coverage of regulatory affairs, IP, financing, and cybersecurity, and with The Digital Doctor by Robert Wachter to understand the clinical and EHR landscape your product will operate in.
What is the best book on AI in medicine?
For 2026, Robert Wachter’s A Giant Leap is the most current and comprehensive evenhanded primer on generative AI in healthcare. The AI Revolution in Medicine by Peter Lee, Carey Goldberg, and Isaac Kohane (2023) offers an insider’s view of GPT-4’s medical capabilities. ChatGPT, MD by Robert Pearl explores the patient-empowerment angle. Future Care by Jag Singh covers sensors, AI, and predictive analytics. Eric Topol’s Deep Medicine (2019) remains the foundational primer on AI in clinical care.
What is the most important book on EHRs and clinician burnout?
Robert Wachter’s The Digital Doctor: Hope, Hype, and Harm at the Dawn of Medicine’s Computer Age remains the definitive book on healthcare’s digital transition, the unintended consequences of EHRs, and the resulting clinician burnout. Wachter’s 2026 follow-up A Giant Leap extends the analysis to generative AI and how it intersects with the clinical workflow problems EHRs created.
Are these books available on Amazon?
Yes. Every book on this list links directly to its Amazon listing. Some links use Digital.Health’s Amazon affiliate program, which helps fund the curation work at no extra cost to readers.
How is this list curated?
Books on this shelf are selected by Digital.Health editors based on relevance to digital health, AI in medicine, healthcare innovation, and digital health entrepreneurship. Selection prioritizes books with rigorous content, named expert authors, and lasting reference value over books with primarily promotional intent. The list is reviewed at least twice yearly and refreshed when notable new titles appear.
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Editorial methodology

How this list is curated.

Books are selected for editorial relevance, not bestseller rank alone. Inclusion criteria include: named expert authors with credentials in medicine, technology, or healthcare leadership; sustained substantive coverage of digital health, AI in medicine, telehealth, healthcare innovation, or digital health entrepreneurship; and lasting reference value over books with primarily promotional intent.

The shelf is reviewed and refreshed at least twice yearly. Last full editorial review: May 2026. We weigh signal over breadth — the goal is a curated set readers can trust, not a comprehensive directory. Some links use Digital.Health’s Amazon affiliate program, which funds the curation work at no extra cost to readers.

Have a book we should add or remove? Email hello@digital.health with a brief case for inclusion. We weigh editorial focus, author expertise, depth, and complementarity with the existing shelf.

Last reviewed and updated May 8, 2026. Curated by Digital.Health. Suggest a book we should add: hello@digital.health. As an Amazon Associate, Digital.Health may earn from qualifying purchases at no additional cost to readers.

Complete list of curated digital health and AI in medicine books

Digital.Health curates 17 essential books across four editorial categories — For Practitioners, AI & the Future of Medicine, Specialty & Domain, and Industry & Strategy. Last updated May 8, 2026.

For Practitioners (5)

  • The Digital Doctor — Robert Wachter, MD (2017). The definitive book on healthcare’s digital transition, EHRs, and clinician burnout.
  • DigitalMD — Liz Kwo, MD, MBA, MPH (2024). Practitioner-executive perspective on staying current with healthcare’s digital transformation.
  • Digital Health Care outside of Traditional Clinical Settings — I. Glenn Cohen and Daniel B. Kramer, Editors (2024). Legal, regulatory, and reimbursement implications of care moving to the home.
  • The Digital Reconstruction of Healthcare — Paul Cerrato and John Halamka, MD (2021). Health-system CIO perspective on telemedicine, hospital-at-home, and evidence-based digital tools, from the President of Mayo Clinic Platform.
  • Augmented Health(care) — Lucien Engelen (2018). European/global perspective on digital transformation, organizational resistance, and consumerization of health.

AI & the Future of Medicine (6)

  • A Giant Leap — Robert Wachter, MD (2026). Current evenhanded primer on generative AI in healthcare from the author of The Digital Doctor.
  • Deep Medicine — Eric Topol, MD (2019). Foundational primer on AI’s clinical potential and the doctor-patient relationship.
  • The AI Revolution in Medicine — Peter Lee, Carey Goldberg, Isaac Kohane (2023). Inside look at GPT-4’s medical capabilities with annotated AI dialogues.
  • Future Care — Jag Singh, MD (2023). Sensors, AI, and predictive analytics reshaping medicine.
  • ChatGPT, MD — Robert Pearl, MD, with ChatGPT (2024). Patient-empowerment angle on generative AI.
  • Intelligent Health — Nasim Afsar, MD, MBA (2026). System-level blueprint for unifying data and applying AI.

Specialty & Domain (3)

  • Super Agers — Eric Topol, MD (2025). NYT bestseller on evidence-based longevity, AI risk prediction, and personalized prevention.
  • VRx — Brennan Spiegel, MD (2020). Therapeutic VR for pain, PTSD, dementia, and beyond.
  • Diabetes Digital Health, Telehealth, and AI — Klonoff, Kerr, Espinoza, Editors (2024). Comprehensive reference on digital health and AI applied to diabetes.

Industry & Strategy (3)

  • The Startup Protocol — Sally Frank (2024). Practical stage-by-stage guide for digital health founders.
  • Digital Health Entrepreneurship — Wulfovich and Meyers, Editors (2023). Operating manual covering regulatory affairs, IP, financing, and cybersecurity for clinician-founders.
  • Digital Disruption in Healthcare — Wickramasinghe, Chalasani, Sloane, Editors (2023). Survey of technology, applications, data, and process dimensions of digital disruption.