The monitoring gap in geriatric care is 89 days. In that gap, early heart failure becomes an emergency. A UTI becomes sepsis. A fall that could have been prevented is not.A practicing family physician decided to do something about it.Prescribed Intelligence is not a book about what AI might do for medicine. It is a documented account of what happens when a physician with twenty years of clinical experience—and a background in chemical engineering—uses AI as a co-developer to build a real clinical system from the ground up.The system is PreserveBand: a sixty-plus-algorithm wearable health-monitoring platform running on an embedded microcontroller, watching seven physiological sensor streams and alerting care teams to baseline deviations before they become crises. Patent pending. IRB submitted. Florida Academy of Family Physicians-accepted research.Dr. Villamagna built it while maintaining a full clinical practice.This book is the field guide he wished had existed when he started.What you will find here:Why domain expertise—not programming experience—is the most valuable asset in clinical AI developmentHow to structure AI collaboration across firmware, hardware, business, regulatory, and clinical-narrative domainsThe "understand before you automate" framework that separates safe AI-assisted development from dangerous over-relianceHow to retrain a machine-learning model on your patient population—and why population-specific models outperform generic onesThe personal disciplines that make sustained innovation possible alongside a full clinical practice What you will not find: Hype. Theory. Futures that require waiting for someone else to act."This is not a book about AI as an idea. It is a book about what happens when someone who understands the problem deeply decides to build." — Mel Speisman, MD, President, American College of Artificial Intelligence and MedicineFor physicians, nurses, clinical leaders, and any domain expert who has seen the gap and wondered if they could close it. The answer is yes. Here is how.
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