Digital Transformation and Artificial Intelligence for Operational Excellence in Healthcare
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- About
Digital transformation and AI innovation are revolutionizing the healthcare industry, offering unprecedented opportunities to enhance patient care, streamline processes, and improve outcomes. The integration of artificial intelligence (AI) into healthcare systems is a pivotal aspect of this transformation, promising to reshape how healthcare is delivered and experienced. AI technologies have the potential to optimize diagnosis, treatment, and resource allocation, ultimately leading to more efficient and effective healthcare services. However, the introduction of AI in healthcare necessitates a cautious approach, considering factors such as patient perception, ethical implications, and the need for robust evaluation frameworks. This book explores the transformative synergy between digital transformation and AI innovation in the healthcare sector, with a focus on optimizing operational processes and delivering superior patient care and enhancing healthcare business practices. The convergence of digital technologies and AI is revolutionizing healthcare delivery, from streamlining administrative tasks to enabling personalized treatment and diagnosis. This book aims to investigate into key applications, challenges, and future directions of this dynamic synergy, offering practical insights for healthcare professionals, researchers, policymakers, and technology enthusiasts.
The "Advances in Digital Technology and Data-Driven Business Practices" series aims to shed light on the rapid developments, significance, benefits, and practical applications of evolving digital technologies and data-driven decision-making practices in businesses.
Editorial: Digital Transformation and AI Innovation Redefining Healthcare Excellence; Anand Jaiswal, Vinaytosh Mishra, and Nripendra Singh
- Chapter 1. Digital Transformation in Healthcare: Analyzing the Current State, Challenges, and Future Research Agenda; Jannatul Ferdous
- Chapter 2. Employee Engagement in Healthcare Using IoT: A SEM Approach; Pinki Paul and Balgopal Singh
- Chapter 3. Industry 4.0 Adoption in Telemedicine in India: Present Evidence, Barriers, and Future Recommendations; Nishtha Agarwal, Anand Jaiswal, and Pushpa Negi
- Chapter 4. Precision Medicine: Market and its Potential in the Healthcare Industry; Meenal Kulkarni and Moumita Sharma
- Chapter 5. Impact of Online Health Information (OHI) on Patient Behavior and Doctor-Patient Relationship: A Review and Analysis; Nidhi Gupta and Pooja Sharma
- Chapter 6. Understanding the Perception of Artificial Intelligence Use in Healthcare among Educational Youth: A Grounded Theory Approach; Monica Verma and Monika Nijhawan
- Chapter 7. Adoption of AI-Driven Mental Health Apps Among the Younger Generation: An Extended Technology Acceptance Model (TAM) Approach; Sarita Nagvanshi, Mohd Junaid Akhtar, Vinod Kumar, and Teena Singh
- Chapter 8. Revolutionizing Healthcare with AI-Powered Contactless Remote Patient Monitoring: The Case of Dozee; Subhransu Nag and Kumar Chokalingam
- Chapter 9. Navigating the Economic Impact of Artificial Intelligence in the Healthcare Sector: A Systematic Review; Sharif Mohd, Rajbeer Kaur, and Teena Singh
- Chapter 10. Performance Incentives as a Tool to Motivate Employees: A Study in the Indian Healthcare Sector; Moumita Acharyya and Jennifer A. Pope
- Chapter 11. Intellectual Property Challenges in AI-Powered Digital Healthcare; Partha Protim Bora
- Chapter 12. AI-Driven Precision Nutrition Marketing: A Catalyst for Improved Public Health; Angad Munshi, Sarita Nagvanshi, Ashim Raj Singla, and Teena Singh
Anand Jaiswal is an Assistant Professor at the TERI School of Advanced Studies, India.
Vinaytosh Mishra is a Director for Thumbay Institute for AI in Healthcare at Gulf Medical University, Ajman, UAE.
Nripendra Singh is a tenured Full Professor of Marketing in the Department of Business, Economics & Communication, College of Science, Technology, and Business at Pennsylvania Western University.