The Healthcare AI Governance Playbook: Defending Clinical Judgment in the Age of AI (The Sovereign Series)

Healthcare AI is moving faster than healthcare governance. That gap is now a patient safety issue.Artificial intelligence is already influencing clinical decisions through predictive models, risk scores, sepsis alerts, imaging systems, ambient documentation, population health tools, and administrative workflows. These systems can improve care. They can also introduce new forms of risk when hospitals cannot see them clearly, validate them independently, monitor them continuously, or stop them when necessary.The Healthcare AI Governance Playbook gives clinicians, hospital administrators, informatics leaders, governance committees, compliance teams, and patient advocates a practical framework for building oversight that works in real clinical environments.Part of Dan Noyes’ Sovereign Health series, this third book builds on the foundation established in Subjects to Sovereigns and The Sovereign Patient. Together, the series argues that healthcare AI must preserve patient voice, clinical judgment, and human dignity as medicine becomes increasingly algorithmic.This volume turns those principles into practical structures hospitals can use, including:The Sovereignty Test for evaluating healthcare AI deploymentsAI governance maturity assessmentsProtected clinical override and structured dissentExplicit stop rules for high-risk AI systemsValidation frameworks for drift, bias, and real-world performanceClear decision rights and safety ownershipGovernance committee design with meaningful patient participationPreparation for emerging AI modalities, including large language models, ambient systems, and autonomous agentsDan Noyes writes from a rare dual perspective: healthcare AI strategist and patient advocate. His own experience with serious failures in care, including a missed traumatic brain injury and a medication error that nearly cost him his life, grounds this work in the reality that governance failures are not theoretical. They reach the bedside. They shape trust. They affect lives.This is not a book about resisting AI.It is a book about making AI governable.Healthcare does not need slower innovation. It needs stronger governance. The time to build it is before the algorithm speaks. Read more