Revolutionizing Healthcare Services

Unleashing Innovation through Generative AI

Babita Singla, Kumar Shalender, Nripendra Singh, Sandhir Sharma

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040357149
• Edition: 0
• Topic: Technology & Engineering
• Subtopic: Industrial Engineering
• Index: Technology & Engineering

The increasing prominence of generative AI across various industries presents an abundance of opportunities for integration within the healthcare sector. From generating valuable insights about patients to automating operations, streamlining patient care, and implementing preventive technologies, the use of generative AI has the potential to usher in a new era of productivity and profitability for stakeholders within the healthcare ecosystem.

Revolutionizing Healthcare Services: Unleashing Innovation through Generative AI explores the current and potential applications of generative AI in the healthcare sector. It covers regulatory frameworks, ethical considerations, practical applications, and real-world use cases. The book also provides a forward-looking perspective to help the healthcare industry keep pace with the integration of generative AI and its applications. In addition, it looks at the future potential of generative AI in conjunction with blockchain, machine learning, and predictive modeling to create electronic health records that can be shared across the healthcare ecosystem. By examining the detailed insights on how to integrate generative AI models with existing healthcare systems, the potential to enhance patient care services can be brought to the forefront. Practical strategies are also discussed to seamlessly integrate generative AI into healthcare services, ensuring prompt, reliable, and efficient care while prioritizing urgent needs.

This book aims to equip healthcare professionals with the knowledge and tools needed to leverage generative AI for superior patient care delivery. It is designed to appeal to a wide range of audiences, including healthcare professionals, generative AI developers, data scientists, healthcare practitioners, patients, educators, policymakers, and those with the knowledge and tools needed to leverage generative AI for superior patient care delivery. The coverage, diverse perspective, and practical approach make it suitable for both beginners looking for an introduction to generative AI and experienced experts.

Table of contents

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