Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l'auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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AI-Driven Innovations in Healthcare (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 104102889X
ISBN 13 : 9781041028895
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Hardcover. Etat : new. Hardcover. The integration of artificial intelligence (AI) in healthcare organizations is no longer a futuristic conceptits 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 AIs 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 AIs 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 organizations case study: strategy and vision for AI, implementation best practices, initial results, challenges, and future opportunities. This book will draw on real-world case studies, spotlighting successful attempts to implement AI in a range of healthcare environments, from small clinics to major hospital systems, it will begin with an overview of AIs role in healthcare and its key applications. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781041028895
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Ai Driven Innovations in Healthcare : Best Practices and Case Studies
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AI-Driven Innovations in Healthcare (Hardcover)
Edité par
Taylor & Francis Ltd, London, 2025
ISBN 10 : 104102889X
ISBN 13 : 9781041028895
Neuf
Couverture rigide
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Hardcover. Etat : new. Hardcover. The integration of artificial intelligence (AI) in healthcare organizations is no longer a futuristic conceptits 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 AIs 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 AIs 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 organizations case study: strategy and vision for AI, implementation best practices, initial results, challenges, and future opportunities. This book will draw on real-world case studies, spotlighting successful attempts to implement AI in a range of healthcare environments, from small clinics to major hospital systems, it will begin with an overview of AIs role in healthcare and its key applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781041028895
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Ai Driven Innovations in Healthcare : Best Practices and Case Studies
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Ai Driven Innovations in Healthcare : Best Practices and Case Studies
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Ai Driven Innovations in Healthcare : Best Practices and Case Studies
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Productivity Press, 2025
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Ai Driven Innovations in Healthcare: Best Practices and Case Studies
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