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AI in Hospital Administration: Revolutionizing Healthcare [Hardcover]

$207.99       (Free Shipping)
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  • Category: Books (Medical)
  • Author:  Mhlanga, David
  • Author:  Mhlanga, David
  • ISBN-10:  1032746734
  • ISBN-10:  1032746734
  • ISBN-13:  9781032746739
  • ISBN-13:  9781032746739
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  234
  • Pages:  234
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  1032746734-11-MPOD
  • SKU:  1032746734-11-MPOD
  • Item ID: 107070266
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 26 to Oct 28
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

Artificial Intelligence (AI) is revolutionizing hospital administration by optimizing processes, improving patient outcomes, and enhancing resource management. AI applications in healthcare include patient scheduling, electronic health record management, medical imaging, and clinical decision support systems.

AI in Hospital Administration: Revolutionizing Healthcare is a groundbreaking book that explores the transformative potential of artificial intelligence (AI) in hospital administration and its impact on revolutionizing healthcare. This book draws on existing academic literature and interdisciplinary research to provide a comprehensive overview of cutting-edge AI technologies and their applications in hospital administration. The book begins by highlighting the basics of AI. It moves to the challenges hospital administrators face, such as long wait times, inefficient scheduling, inaccurate forecasting, and suboptimal resource allocation. It emphasizes the need for effective management and decision-making strategies to optimize patient outcomes while ensuring efficient resource utilization. While AI has seen significant advancements in areas like medical imaging and clinical decision support systems, its role in hospital administration remains relatively understudied. This book aims to fill this gap by delving into the complexities of managing patient flow, optimizing resource allocation, ensuring effective staff scheduling, and implementing data-driven decision-making processes. It explores various AI-powered solutions, including machine learning, natural language processing, and predictive analytics, and their potential to alleviate these challenges. It also covers ethical considerations and potential barriers to AI adoption in healthcare, such as privacy concerns, data security, and the human-machine interface. The book includes real-world case studies and examples of successful AI implementations in hospital administration to provide practiclC7
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