Healthcare AI Governance: Ethics, Bias Mitigation & Regulatory Compliance

Responsible clinical innovation starts with governance people can trust. Healthcare AI Governance is a practical, professional reference for leaders who must evaluate, approve, monitor, and manage artificial intelligence tools inside complex clinical environments. Written for clinicians, administrators, informaticists, quality officers, legal and compliance teams, and healthcare executives, this book explains how oversight structures can help protect patient welfare, strengthen accountability, and support more equitable AI-assisted care. Rather than treating AI oversight as a narrow technical issue, this guide connects ethics, algorithmic fairness, privacy, procurement, post-market surveillance, cybersecurity, patient rights, and regulatory readiness into one usable governance roadmap. It is especially useful for readers who need clear language, structured frameworks, and institution-level thinking without becoming data scientists or relying only on vendor claims. Across its chapters, the book moves from foundational principles to operational practice, helping readers understand model lifecycle risks, performance drift, fairness measurement, clinical decision support, algorithmic impact assessment, legal defensibility, and the leadership responsibilities that come with AI-enabled care. - Understand why clinical AI systems require oversight beyond ordinary technology review.- Evaluate model risk, algorithmic bias, performance drift, and fairness measurement with greater confidence.- Build stronger procurement and vendor review processes before AI tools enter patient-facing workflows.- Apply governance thinking to privacy, informed consent, patient rights, audit readiness, and accountability.- Develop monitoring systems for deployed tools, including post-market surveillance and equity-focused review.- Prepare leadership teams for emerging policy expectations around clinical algorithms and foundation models. If you need a structured reference for responsible AI oversight in modern care settings, this book offers a clear path from principles to practical institutional governance.

Pagina's: 414, Paperback, Independently published