Arora | Beyond the Human Touch | Buch | 978-1-032-94214-8 | www.sack.de

Buch, Englisch, 304 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 453 g

Arora

Beyond the Human Touch

AI's Revolution in Healthcare
1. Auflage 2026
ISBN: 978-1-032-94214-8
Verlag: Taylor & Francis Ltd

AI's Revolution in Healthcare

Buch, Englisch, 304 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 453 g

ISBN: 978-1-032-94214-8
Verlag: Taylor & Francis Ltd


Beyond the Human Touch: AI's Revolution in Healthcare provides a comprehensive, accessible, and engaging exploration of how Artificial Intelligence (AI) is transforming healthcare. The book aims to serve as a definitive guide for healthcare professionals, policymakers, researchers, and students, offering insights into the practical applications, ethical considerations, and future potential of AI in the healthcare sector. This book benefits the healthcare and AI communities by:

• Providing a thorough understanding of how AI technologies are being integrated into various aspects of healthcare.

• Offering practical insights and strategies for implementing AI in clinical and administrative settings.

• Highlighting the ethical and regulatory considerations necessary for responsible AI adoption.

• Envisioning the future of AI in healthcare, including its potential to address global health disparities.

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Professional Practice & Development


Autoren/Hrsg.


Weitere Infos & Material


Introduction. The Gambit: Toward Singularity – When AI and Healthcare Become One. Setup: The Convergence of Transformative Technologies driving our economy and our healthcare future. The Interplay of These Five Transformative Technologies. B.L.A.D.E. - The Five Pillars of Technological Transformation. Part I: The Genesis of AI in Healthcare. Chapter 1: The Early Days of AI in Medicine. Chapter 2: AI Milestones in Healthcare. Part II: The Present Landscape. Chapter 3: AI in Healthcare Providers. Chapter 4: AI for Payers. Chapter 5: AI in Pharmacies. Chapter 6: AI in Drug Manufacturing. Chapter 7: AI in Life Sciences. Chapter 8: AI in Durable Medical Equipment (DME). Part III: Challenges and Considerations. Chapter 9: Ethical Considerations in AI Healthcare. Chapter 10: Regulatory and Compliance Issues. Chapter 11: Implementation Challenges. Chapter 12: Economic Impact. Part IV: The Future of AI in Healthcare. Chapter 13: The Next Frontier in AI Diagnostics and Treatment. Chapter 14: AI and Telehealth. Chapter 15: AI in Global Health. Chapter 16: The Role of AI in Pandemic Response. Chapter 17: The Future of AI in Payers and Insurance. Chapter 18: Innovations in AI-Driven Drug Development. Chapter 19: AI in Preventive Healthcare. Chapter 20: The Road Ahead. Conclusion. Appendices


Himanshu Arora is the Founder and CEO of NestedLoop, where he is building HELIX—an AI-native operating layer for Medicare Advantage health plans. He founded NestedLoop after serving as Chief Data & Analytics Officer at Blue Cross Blue Shield of Massachusetts, where he led enterprise data and analytics strategy, advanced AI and machine learning initiatives, and strengthened the data governance foundation for one of the nation’s most respected regional health plans. This book was written from that vantage point: a senior executive operating at the center of AI transformation in healthcare, accountable for both strategic vision and measurable outcomes.

He currently also serves as an Executive Advisor to ZS Associates, advising healthcare payer and provider clients on enterprise AI strategy, data modernization, operating model transformation, and the practical deployment of generative and agentic AI. In parallel, he supports multiple healthcare startups and innovators as Advisor, contributing strategic guidance and ecosystem development within the emerging health technology startup landscape.

Over a 20-year career spanning healthcare, financial services, and management consulting, Mr. Arora has held senior leadership roles at Health Care Service Corporation, UnitedHealthcare, Zurich Insurance Group, and Deloitte. Across these organizations, he has built predictive analytics platforms, scaled high-performing data science teams, delivered significant cost savings and revenue growth through AI-enabled decision systems, and advised executive leadership teams on converting data strategy into tangible business value. His work has consistently focused on the intersection of enterprise complexity and applied AI—not as theory, but as execution.

Mr. Arora holds a Master of Science in Information Systems Management from Carnegie Mellon University Heinz College and a Bachelor of Engineering from Delhi Technological University. He is based in the United States.



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