Revolutionizing Healthcare Services (eBook, ePUB)

Unleashing Innovation through Generative AI
Redaktion: Singla, Babita; Sharma, Sandhir; Singh, Nripendra; Shalender, Kumar

• Format: ePub

Produktbeschreibung

The increasing prominence of Generative AI presents healthcare integration opportunities. From generating valuable patient insights to automating operations, streamlining patient care, and implementing preventive technologies, Generative AI has the potential to usher in a new era of productivity and profitability for healthcare stakeholders.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Erscheinungstermin: 10. Juni 2025
• Englisch
• ISBN-13: 9781040357149
• Artikelnr.: 73919682

Autorenporträt

Babita Singla is a Professor at the Chitkara Business School, Chitkara University, Punjab, India. She earned a PhD in management and is UGC-NET qualified. Dr. Singla has over 14 years of experience in teaching, research, and administration. In her career, she has been involved in important academic and research assignments, such as being the guest editor of a reputed journal, organizing and conducting international and national-level conferences and faculty development programs, and providing guidance for research projects. Her research has been published by Scopus, Springer, SCI, etc., and Dr. Singla has presented research papers at various national and international conferences. Kumar Shalender is a Post-Doctorate in the field of strategic and technology management. With 14 years of experience in business model development and diffusion of technology, Dr. Shalender is actively involved in system thinking, flexibility, and management of technology. He has written more than 70 research papers, including publications in esteemed journals in the fields of innovation, business model development, and sustainable business practices. Dr. Shalender is also a reviewer for several reputed publications. Nripendra Singh is a Fulbright Fellow, which is a flagship program of the U.S. Department of State, and he has completed research at the Pennsylvania State University. He has published in reputed journals and has received a prestigious grant from the Pennsylvania State System of Higher Education (PASSHE-FPDC) integrating Clarion University, local businesses, and SBDC for student learning and the development of an entrepreneurial ecosystem as the Principal Investigator. Sandhir Sharma earned a PhD in strategic management and has nearly 22 years of experience in higher education and five years in the telecom industry. With more than 94 research papers to his credit, Dr. Sharma has developed his core expertise in the area of strategy formulation. His research has been widely published in various newspapers. Currently, he is serving as Pro Vice Chancellor of the Chitkara Business School and as Visiting Faculty at Binus University, Indonesia, and the University of Applied Sciences, Osnabruck, Germany. Dr. Sharma has traveled around the globe to participate in academic events and is an active member of various management associations and university bodies.

Inhaltsangabe

1. Generative AI in Healthcare: Scope, Possibilities, and Adoption Roadmap.
2. Dynamics of AI Challenges in Hospital Operations: From Bytes to Better
Health. 3. The Application of Artificial Intelligence and Robotics in
Healthcare Services. 4. Advancing Healthcare with Responsible AI:
Techniques, Barriers, and Best Practices. 5. The Future of AI in
Healthcare: Overcoming Current Challenges to Unlock Potential Benefits. 6.
Challenges in Adopting AI for Predicting Ophthalmology and Managing Water
in the Healthcare Sector. 7. Diagnosis to Treatment: Challenges and
Opportunities in Generative Artificial Intelligence Adoption in the
Healthcare. 8. Advancing Healthcare through Artificial Intelligence:
Pioneering Solutions and Impactful Applications. 9. The XAI Factor in the
Age of AI: Does It Enhance AI Augmented Decision-Making Quality in
HealthCare HR. 10. AI Adoption Challenges in Healthcare. 11. Training
Next-Generation Healthcare Professionals in the Era of AI. 12. Artificial
Intelligence (AI) Adoption and Governance: Frameworks and Best Practices.
13. AI in Healthcare: Unveiling Economic Potential and Strategic Insights.
14. Machine Learning-Based Maternal and Child Mortality Rate Prediction
Using Random Forest Algorithm.