AI in Healthcare Implementation: A Practical Guide to Deploying Clinical Artificial Intelligence for Safe, Scalable, and Compliant Patient Care

By Dr. Ruchika Jharbade

Artificial Intelligence (AI) in healthcare is transforming diagnostics, patient care, and hospital operations-but most AI projects fail at the implementation stage.

AI in Healthcare Implementation is a practical, real-world guide to deploying clinical AI systems safely, effectively, and at scale. Designed for clinicians, healthcare leaders, and AI professionals, this book bridges the critical gap between building AI models and making them work in real clinical environments.

Inside this book, you will learn how to:
Design and execute end-to-end AI deployment strategies in healthcare
Integrate AI systems with EHR/EMR using standards like HL7 and FHIR
Navigate global regulatory frameworks including FDA, EU AI Act, and DPDP
Validate AI systems for real-world clinical performance and patient safety
Identify and prevent common AI failures such as bias, drift, and workflow misalignment
Build governance, monitoring, and compliance systems for long-term success

This book focuses not on theory, but on real implementation-covering data readiness, infrastructure, clinical workflows, risk management, and continuous monitoring.

With global case studies, practical frameworks, and step-by-step guidance, this is an essential resource for anyone involved in digital health, clinical AI, and healthcare innovation.

Whether you are a doctor, data scientist, hospital administrator, policymaker, or health-tech entrepreneur, this book provides the tools to move from AI experimentation to safe, scalable, and impactful deployment in healthcare systems worldwide.

• Format: Paperback
• Language: English
• ISBN: B0GTM8GZ2D
• ISBN13: 9798253272503
• Release Date: March 2026
• Publisher: Independently Published
• Length: 168 Pages
• Weight: 0.51 lbs.
• Dimensions: 0.4" x 6.0" x 9.0"