Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain 1st Edition

Grab the future of healthcare with Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain, 1st Edition by Chinmay Chakraborty, Subhendukumar Pani, Mohd Abdul Ahad, and Qin Xin. This authoritative guide empowers clinicians, engineers, policy makers, and IT leaders to transform patient care through practical applications of artificial intelligence, Internet of Things, and blockchain technologies.

Discover clear, real-world frameworks for designing interoperable, secure, and scalable smart healthcare systems. Chapters blend theory with hands-on strategies for telemedicine, remote monitoring, predictive analytics, secure patient records, and edge-computing architectures—making complex topics accessible for healthcare administrators, solution architects, and academic researchers alike. Case studies span hospital deployments, community health networks, and smart-city initiatives to illustrate regional implementation considerations across India, Asia-Pacific, Europe, and North America.

Why this book matters: it solves pressing challenges—data privacy, system interoperability, latency-sensitive monitoring, and trust in distributed networks—while highlighting compliance and ethical best practices. Readers will leave with executable roadmaps for pilot projects, vendor evaluation checklists, and performance metrics to measure clinical and operational impact.

Ideal for graduate students, IT directors, and startup founders focused on digital health, this edition balances technical depth with strategic insight to accelerate adoption and improve patient outcomes.

Advance your career and your organization’s capabilities—add Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain to your library today and lead the next wave of healthcare innovation.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.