AI Driven Innovations in Healthcare

Best Practices and Case Studies
1. Auflage 2025
ISBN: 978-1-041-02889-5
Verlag: Taylor & Francis

Buch, Englisch, 200 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 449 g

Artificial Intelligence is reshaping healthcare—today, not tomorrow.

From diagnostics to operations, AI-driven tools are already improving care quality, enhancing patient safety, reducing clinician burnout, and lowering costs. But how can healthcare systems implement these technologies effectively and responsibly?

In Artificial Intelligence-Driven Innovations in Healthcare: Best Practices and Case Studies, industry leaders share how AI is being used in real-world healthcare settings—not theoretical possibilities, but practical applications. This book offers a front-line look at what’s working, what’s not, and what’s next.

Whether you're a clinician interested in integrating AI into your practice, an administrator aiming to streamline operations, a technologist building health solutions, or a policymaker shaping the future of innovation, this book offers the insights you need.

AI won't solve every problem in healthcare—but when applied wisely, it has the power to tackle some of the industry's most urgent challenges and improve care for all.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Langabeer, James R

Langabeer PhD, James R.

Lalani, Karima

Lalani PhD, Karima

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Wissensmanagement
• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie Medizinische Biotechnologie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Gesundheitswirtschaft
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie

Inhaltsverzeichnis

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

Über Autor(innen)

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.