Future of Healthcare

Technology, AI, and Innovation

Inbunden, Engelska, 2025

2 829 kr

Kommande

A powerful transformation is underway in global healthcare. From artificial intelligence and big data to quantum computing and precision medicine, cutting-edge technologies are revolutionizing how we predict, diagnose, and treat disease. This book offers a compelling look into how digital innovation is reshaping the future of healthcare delivery, medical research, and patient engagement.The Future of Healthcare: Technology, AI, and Innovation brings together expert perspectives across academia, industry, and clinical practice to explore the intersection of emerging technologies and human health. Organized into five thematic segments, the book addresses foundational shifts in modern healthcare, the rise of data-driven systems, the evolution of digital infrastructure, the importance of ethical and equitable innovation, and strategic approaches to global health transformation.Through real-world case studies, actionable insights, and forward-looking analysis, readers will gain a comprehensive understanding of the tools and trends shaping tomorrow’s healthcare systems. Whether you are a healthcare professional, technologist, researcher, policymaker, or student, this book is an essential guide to navigating and leading in the age of intelligent, connected, and personalized medicine.Prepare to explore the possibilities, challenges, and transformative potential of technology in creating a healthier and more equitable world.

Produktinformation

Utgivningsdatum2025-12-24
Mått152 x 229 x undefined mm
FormatInbunden
SpråkEngelska
SerieHIMSS Book Series
Antal sidor241
FörlagTaylor & Francis Ltd
ISBN9781041156529

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Sairohith Thummarakoti is a technology leader, innovator, and author with deep expertise in Pega, artificial intelligence, and cloud computing. With more than a decade of experience, he designs scalable, intelligent systems that enable automation, decision support, and digital modernization across healthcare and enterprise environments. His work centers on intelligent workflow design, multi-cloud optimization, and the integration of AI with cloud-native services to enhance operational efficiency and patient outcomes.His professional interests include AI-driven healthcare systems, digital transformation in hospitals, precision medicine, and scalable infrastructure for clinical analytics. He is an active member of organizations such as the American Association for Cancer Research (AACR), HIMSS, and IEEE, and has authored multiple peer-reviewed research papers, patents, and technical books. His portfolio features over 25 publications in IEEE, Springer, and other Scopus-indexed venues, along with extensive peer review contributions for leading journals and conferences.Sairohith is a Certified Pega Lead System Architect and AWS Certified Solutions Architect – Professional, combining deep technical expertise with practical implementation experience. Beyond industry, he plays an active role in academia and professional leadership as a Senior Member of IEEE, Founding Chair of the IEEE Computer Society Columbia Section, and Industry Advisory Board Member at Texas A&M University–Kingsville and UNC Greensboro. He frequently speaks on topics such as artificial intelligence, cloud optimization, and the future of digital healthcare systems.

Acknowledgments. About the Author. Contributors. Preface. Introduction. Segment 1: Fundamentals of Modern Healthcare. Chapter 1: Foundations of Modern Healthcare. Chapter 2: Cancer: Challenges, Opportunities, and Innovation.Segment 2: Data-Driven Healthcare Systems. Chapter 3: AI in Cancer Prediction and Management. Chapter 4: Digital Transformation in Pandemic Response. Chapter 5: AI in Drug Discovery and Robotics. Segment 3: Technology-Enabled Healthcare Infrastructure. Chapter 6: Emerging Technologies in Healthcare. Chapter 7: Precision Medicine and Digital Twins. Chapter 8: Quantum and High-Performance Computing in Healthcare.Segment 4: Socioeconomic and Ethical Dimensions of Healthcare. Chapter 9: Socioeconomic Perspectives on Health Equity. Chapter 10: Ethical and Regulatory Considerations. Chapter 11: Mental Health Technologies and Digital Therapeutics. Chapter 12: Federated and Decentralized AI Models. Segment 5: Advanced Tactics and Strategic Outlook. Chapter 13: Strategic AI Integration in Global Health. Chapter 14: Conclusion and Strategic Outlook. Chapter 15: Case Studies.