This book addresses the urgent need for AI healthcare insights in a post-pandemic world. It explores the rapidly evolving AI landscape and provides practical, evidence-based guidance drawn from lessons learned during the pandemic.

Covering a wide range of topics - from digital health technologies to data analytics and interoperability - it offers a thorough examination of advancements in these areas, giving readers a comprehensive understanding of the industry's transformation. The book goes beyond theory, showcasing practical applications of AI solutions. Real-world case studies and expert perspectives drawn from the pandemic equip readers with actionable insights for implementation in various healthcare settings. With a holistic approach, the book explores not only technological aspects but also ethical considerations, regulatory challenges, and the human impact of digital transformation.

This invaluable resource is essential for academics, practitioners, and policymakers in healthcare management, information systems management, healthcare policy, and public health.