Karima Lalani Phd (28 results)

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Paperback. Condition: New. 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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Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Paperback. Condition: Brand New. 200 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Condition: New. 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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Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

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Condition: New. 1st edition NO-PA16APR2015-KAP.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Hardback. Condition: New. 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.…

Hardcover. Condition: Brand New. 200 pages. 10.00x7.00x10.00 inches. In Stock.

Hardback. Condition: New. 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.…

Paperback. Condition: new. Paperback. 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.…

Paperback. Condition: new. Paperback. 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.…

Paperback. Condition: new. Paperback. 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: 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.…

Hardcover. Condition: 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.…

Hardcover. Condition: 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…