AI-Driven Innovations in Healthcare (eBook, ePUB)

Best Practices and Case Studies
Redaktion: Langabeer, James R.; Lalani, Karima

• Format: ePub

Produktbeschreibung

The integration of artificial intelligence (AI) in healthcare organizations is no longer a futuristic concept-it's here, reshaping patient care, optimizing operational efficiency, and enhancing diagnostic accuracy. While AI offers immense potential, finding its practical applications and scaling its implementation are fraught with both technical and practical challenges, including data security, ethical concerns, regulatory practices, and workforce adaptation. For digital health leaders, adopting AI successfully requires a deep understanding of not only the technology itself but also the organizational and human factors that can make or break its success. AI-Driven Innovations in Healthcare is a practical guide designed to help digital health and IT professionals, chief medical information officers, administrators, and policymakers navigate these complexities and leverage AI to achieve sustainable improvements in care delivery.

This book is not a technical manual on AI algorithms, but rather a guide to show how leaders are adopting AI within their own healthcare organization or practice. The book includes contributions from multiple executives and academics, with chapters focused around AI's place in helping to create innovations in healthcare operations, design, and delivery.

This book draws on real-world case studies, spotlighting successful attempts to implement AI in a range of healthcare environments, from small clinics to major hospital systems. The book begins with an overview of AI's role in healthcare and its key applications, such as predictive analytics, personalized treatment planning, robotic surgery, and administrative automation. Each chapter also features case studies and expert insights from leading healthcare organizations that have successfully navigated the AI adoption process. These examples will provide practical lessons and real-life scenarios to help readers anticipate challenges and proactively design solutions. Each chapter is organized into similar sections for each organization's case study: strategy and vision for AI, implementation best practices, initial results, challenges, and future opportunities.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 214
• Erscheinungstermin: 1. Dezember 2025
• Englisch
• ISBN-13: 9781040665268
• Artikelnr.: 75696383

Autorenporträt

James Langabeer, PhD, FHIMSS is a tenured full professor of Clinical Informatics at the UTHealth McWilliams School of Biomedical Informatics in the Texas Medical Center, and an Executive Director of the Center for Behavioral Emergency and Addiction Research. Karima Lalani, PhD, FACHE is Director of the Health Informatics and Health Information Management programs and Assistant Teaching Professor at the University of Washington School of Public Health in Seattle.

Inhaltsangabe

Part 1: Transforming the Continuum of Care Chapter 1. Towards AI and Human
Collaboration Chapter 2. AI in Healthcare and Medicine: Shaping the Future
Chapter 3. Unlocking the Power of AI in Transforming Patient Access and
Staff Engagement Chapter 4. Delivering AI responsibly in clinical settings
across the health continuum Chapter 5. Reimagining Primary and Specialty
Care with AI Part 2: AI Across the Healthcare Ecosystem Chapter 6. Impact
of AI on Dentistry Chapter 7. Leveraging Artificial Intelligence in
Substance Use Outreach and Treatment Chapter 8. AI and Radiology: Shaping
the Present, Defining the Future Chapter 9. The Expanding Role of AI in
Life Sciences Innovation Part 3. AI for Smarter Healthcare Operations
Chapter 10. AI-Driven Innovations in Healthcare Finance Chapter 11. The
Role of AI in Mitigating Healthcare Fraud Chapter 12. AI and the Health
Information Workforce Chapter 13. Building AI Readiness Across the Health
Workforce Appendix A: Key Terminology