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 practical insights. Doing so equips healthcare professionals, administrators, policymakers, and researchers with the knowledge and tools to leverage AI effectively, foster innovation, and drive positive change in healthcare organizations. In short, AI in Hospital Administration: Revolutionizing Healthcare addresses the gap in academic literature surrounding the role of AI in hospital administration. It comprehensively understands this domain's challenges, limitations, and opportunities, stimulating further research and promoting informed decision-making. The book envisions a future where AI plays a central role in transforming healthcare administration for the better.
Mhlanga
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Zielgruppe
Academic and Postgraduate
Weitere Infos & Material
Preface. 1. Introduction to AI in Hospital Administration. 2. Basics of Artificial Intelligence. 3. Enhancing Patient Management and Scheduling through AI Solutions. 4. The Synergy of AI and Electronic Health Records: Revolutionizing Data Management and Patient Care. 5. Medical Imaging and Diagnostics: The Fundamentals of Medical Imaging and AI. 6. AI and Predictive Analytics and Risk Assessment in Healthcare. 7. Revolutionizing Resource Allocation and Optimization in Hospitals with AI. 8. Redefining Clinical Decision Support Systems through AI: A Futuristic Perspective. 9. Disease Diagnosis and AI Applications in Hospital Administration. 10. AI in Healthcare Finance and Billing: Enhancing Efficiency and Accuracy. 11. Ethical Considerations in AI-Enabled Healthcare. 12. Overcoming Barriers to AI Adoption in Healthcare. 13. AI in Hospital Administration: Revolutionizing Healthcare. A Conclusion. Index.
David Mhlanga is a Professor at the University of Johannesburg, South Africa. His research focuses on financial inclusion, poverty studies, Industry 4.0, and the application of artificial intelligence in economics, business, and finance. His broader areas of expertise include development economics, the economics of artificial intelligence, and the economics of health and education. He has authored and edited several books.
