Revolutionizing Healthcare Services
Unleashing Innovation Through Generative AI
Herausgeber: Singla, Babita; Sharma, Sandhir; Singh, Nripendra; Shalender, Kumar
Revolutionizing Healthcare Services
Unleashing Innovation Through Generative AI
Herausgeber: Singla, Babita; Sharma, Sandhir; Singh, Nripendra; Shalender, Kumar
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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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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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Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 312
- Erscheinungstermin: 29. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032871585
- ISBN-10: 103287158X
- Artikelnr.: 72598416
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 312
- Erscheinungstermin: 29. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032871585
- ISBN-10: 103287158X
- Artikelnr.: 72598416
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Babita Singla is a professor at Chitkara Business School, Chitkara University, Punjab, India. She has a Ph.D. in management and is UGC-NET qualified. She 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. She has research publications in Scopus, Springer, SCI, etc., and 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, He is actively involved in the System Thinking, Flexibility, and Management of Technology. He has more than 70 research papers to his credit including publications in esteemed journals in the field of Innovation, Business Model Development, and Sustainable Business Practices. Dr Kumar is also a reviewer for several reputed publications. Nripendra Singh is a Fulbright Fellow which is a flagship program of the United States Department of State and has completed research at The Pennsylvania State University. He has published in reputed journals and has recently 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 development of an entrepreneurial ecosystem as the Principal Investigator. Sandhir Sharma has a Ph.D. in Strategic Management with nearly 22 years of experience in higher education and five years in 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, Chitkara Business School and visiting faculty at Binus University, Indonesia, and the University of Applied Sciences, Osnabruck, Germany. He has widely traveled all across the globe to participate in academic events and is an active member of various management associations and University bodies.
0. Front Matter. 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
Opportunity in the Generative Artificial Intelligence Adoption in
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.
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
Opportunity in the Generative Artificial Intelligence Adoption in
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.
0. Front Matter. 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
Opportunity in the Generative Artificial Intelligence Adoption in
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.
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
Opportunity in the Generative Artificial Intelligence Adoption in
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.