Healthcare Transformation Using Artificial Intelligence provides insights into executing healthcare transformation through AI, and deploying health technology at scale. It focuses on improving patient outcomes while managing costs, highlighting selected use of AI and contrasting it with a “tech push” approach. Through interactions with leading clinicians and healthcare administrators, this book presents the most urgent challenges facing patients, such as lifestyle, self-empowerment, adherence, knowledge, and behavior change, and clinicians, including information overload, time scarcity, rapidly changing guidelines, care quality, and administrative burdens.
The book explains recent AI breakthroughs and critically evaluates their promise, showing how AI can be successfully deployed to address these challenges. Real deployments, scaling, and evidence-gathering illustrate the best bets for AI in healthcare. Innovation is moving fast, but patient safety, clinical trials, and regulatory approvals ensure appropriate adoption. This resource is valuable for health professionals, scientists, researchers, practitioners, and students wishing to expand their knowledge in this field.
1. Introduction - p. xv 2. PART 1. Setting the stage for transformation and the role of technology - p. 0 3. Introduction - p. 1 4. Chapter 1. The healthcare industry - p. 3 5. Chapter 2. Systematic analysis of opportunities for healthcare transformation - p. 23 6. Chapter 3. The role of information and technology in transforming industries and how it could transform healthcare - p. 31 7. PART 2. How AI works and its promise in healthcare - p. 44 8. Introduction - p. 45 9. Chapter 4. Basic concepts and prerequisites to AI - p. 47 10. Chapter 5. Neural networks and deep learning - p. 67 11. Chapter 6. Using neural networks for sequential information, including natural language understanding and generation - p. 79 12. Chapter 7. Natural language processing and large language models use in healthcare - p. 99 13. PART 3. A tour through healthcare settings and how they could be transformed by technology and AI - p. 112 14. Introduction - p. 114 15. Chapter 8. In the Doctor's office - p. 117 16. Chapter 9. Outside the Doctor's office: Patients at home and in the community, use of remote monitoring - p. 133 17. Chapter 10. Patients outside the system and mental health - p. 147 18. Chapter 11. Post-discharge, generalizing monitoring, intervention, and recovery - p. 159 19. Chapter 12. The radiology office and medical imaging - p. 171 20. Chapter 13. How AI can transform healthcare in emerging economies - p. 191 21. PART 4. AI's adoption in healthcare and the future - p. 200 22. Introduction - p. 201 23. Chapter 14. Ethics, safety and regulation - p. 203 24. Chapter 15. The future - p. 221 25. Index - p. 231
Healthcare Transformation Using Artificial Intelligence provides insights into executing healthcare transformation through AI, and deploying health technology at scale. It focuses on improving patient outcomes while managing costs, highlighting selected use of AI and contrasting it with a “tech push” approach. Through interactions with leading clinicians and healthcare administrators, this book presents the most urgent challenges facing patients, such as lifestyle, self-empowerment, adherence, knowledge, and behavior change, and clinicians, including information overload, time scarcity, rapidly changing guidelines, care quality, and administrative burdens.
The book explains recent AI breakthroughs and critically evaluates their promise, showing how AI can be successfully deployed to address these challenges. Real deployments, scaling, and evidence-gathering illustrate the best bets for AI in healthcare. Innovation is moving fast, but patient safety, clinical trials, and regulatory approvals ensure appropriate adoption. This resource is valuable for health professionals, scientists, researchers, practitioners, and students wishing to expand their knowledge in this field.
1. Introduction - p. xv 2. PART 1. Setting the stage for transformation and the role of technology - p. 0 3. Introduction - p. 1 4. Chapter 1. The healthcare industry - p. 3 5. Chapter 2. Systematic analysis of opportunities for healthcare transformation - p. 23 6. Chapter 3. The role of information and technology in transforming industries and how it could transform healthcare - p. 31 7. PART 2. How AI works and its promise in healthcare - p. 44 8. Introduction - p. 45 9. Chapter 4. Basic concepts and prerequisites to AI - p. 47 10. Chapter 5. Neural networks and deep learning - p. 67 11. Chapter 6. Using neural networks for sequential information, including natural language understanding and generation - p. 79 12. Chapter 7. Natural language processing and large language models use in healthcare - p. 99 13. PART 3. A tour through healthcare settings and how they could be transformed by technology and AI - p. 112 14. Introduction - p. 114 15. Chapter 8. In the Doctor's office - p. 117 16. Chapter 9. Outside the Doctor's office: Patients at home and in the community, use of remote monitoring - p. 133 17. Chapter 10. Patients outside the system and mental health - p. 147 18. Chapter 11. Post-discharge, generalizing monitoring, intervention, and recovery - p. 159 19. Chapter 12. The radiology office and medical imaging - p. 171 20. Chapter 13. How AI can transform healthcare in emerging economies - p. 191 21. PART 4. AI's adoption in healthcare and the future - p. 200 22. Introduction - p. 201 23. Chapter 14. Ethics, safety and regulation - p. 203 24. Chapter 15. The future - p. 221 25. Index - p. 231
