The Beginning of a New Era
When we began writing Generative AI: Unlocking the Next Chapter in Healthcare, we set out to capture a moment we could feel unfolding all around us. Hospitals were experimenting with generative models to summarize clinical notes. Pharmaceutical teams were using AI to design molecules. Patients, whether through voice agents, virtual coaches, or precision-care tools, were starting to experience medicine that learns from them in real time.
Healthcare has always evolved with technology, but something about generative AI feels different. It doesn’t just automate; it collaborates. It drafts, hypothesizes, and reasons. It changes how humans and machines think about each other and with each other.
Our goal was to document this transformation honestly, its potential and its pitfalls, and to offer leaders a practical framework for navigating what might be the most consequential technological shift in medicine since the discovery of antibiotics.
Inside the Book
In the opening chapters, we invite readers to step into the clinical frontier of this technology. Here is a brief passage from Chapter 1:
“The first wave of AI in medicine focused on detection, spotting a tumor, predicting a lab value, flagging an anomaly. The next wave, powered by generative models, focuses on creation, drafting treatment plans, designing trials, even writing the code that powers health systems themselves.”
Another early excerpt explores how this evolution is changing the physician’s daily experience:
“When an algorithm can generate a differential diagnosis or summarize a complex chart, it doesn’t diminish the clinician’s value. It redefines it. The new skill set is interpretive intelligence, the ability to question, contextualize, and apply machine-generated insight with empathy.”
Throughout the book we weaved together interviews, case studies, and lessons from our work at BigRio and Damo Consulting. Readers will find examples ranging from AI-assisted radiology and conversational triage tools to synthetic data pipelines accelerating clinical research.
But we also look beyond the technology. Each chapter ends with a reflection on governance, ethics, and human trust, because AI’s success in healthcare depends as much on values as on code.
From Algorithms to Empathy
One of our favorite sections explores the paradox at the heart of digital medicine: how machines that generate text, images, or predictions can actually restore the human connection in care.
“The gift of automation is time; the one resource healthcare professionals never seem to have enough of. When AI writes the discharge summary or reconciles the medication list, the clinician gets something priceless back: more time to give to the patient’s story.”
Generative AI, when properly implemented, becomes a quiet collaborator that amplifies compassion instead of replacing it. That vision runs through every chapter of our book.
Why This Book, Why Now?
We’re often asked what inspired us to write this book at this particular moment. The answer is urgency.
In 2025, healthcare organizations are under unprecedented pressure to modernize. They face clinician burnout, labor shortages, and an avalanche of unstructured data. At the same time, generative AI technologies are moving faster than regulation, raising new questions about bias, safety, and transparency.
We saw a need for a resource that bridges innovation and accountability. A guide written by those of us who have built AI systems inside real healthcare environments, not just in research labs.
Our message is simple:
- The technology is powerful, but context matters.
- Generative AI can democratize expertise, but only if governed ethically.
- Healthcare’s next chapter must combine precision with empathy.
This is not a manifesto for automation; it’s a blueprint for collaboration. It is about ensuring that, as AI learns to write prescriptions or generate treatment options, humans remain the authors of care itself.
The Collaboration Behind the Pages
Writing together allowed us to merge two complementary perspectives. Rohit brings systems-architecture and data-science lens from decades of work in health IT and consulting. Ritu brings leadership and education focus, guiding organizations through responsible adoption and change management.
Our shared mission—reflected in the book and in The Big Unlock podcast—is to make AI accessible and actionable for healthcare executives, innovators, and clinicians alike.
We wanted the book to feel both visionary and grounded: rich in insight but practical enough that a hospital CIO, a data scientist, or a medical student could, or even a patient, could all find value in it.
Looking Ahead
As the launch approaches, we’re encouraged by the early enthusiasm from reviewers and peers who describe Generative AI: Unlocking the Next Chapter in Healthcare as “a rare combination of technical rigor and human empathy.”
In the coming months, we’ll continue the conversation through live webinars, podcast interviews, and case-study spotlights drawn from the book. Our hope is that this work sparks collaboration across disciplines and across the globe on how to responsibly unlock the full potential of Generative AI in medicine.
Pre-Order and Launch Details
Generative AI: Unlocking the Next Chapter in Healthcare
By Rohit Mahajan and Ritu M Uberoy
Published by Taylor & Francis Group
Available November 17, 2025, in hardcover and eBook formats.
Pre-order or learn more at the official author webpage.