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Elsevier

Intelligence-Based Healthcare

Artificial Intelligence Concepts with Real‑World Applications for Healthcare Leaders and Providers

  • 1 Edición - 1 de octubre de 2026
  • Última edición
  • Editores: Anthony Chang, Alfonso Limon, Gregg M. Gascon
  • Idioma: Inglés

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introd… Leer más

Descripción

Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider is an essential guide with an introduction to data science and artificial intelligence to provide the reader with a quick orientation and education on AI in healthcare. This book also offers a framework for success in planning, deployment, implementation, and evaluation of AI models in healthcare. In 25 chapters, Intelligence-Based Healthcare: An Essential Guide with Case Studies of Artificial Intelligence for the Healthcare Leader and Provider both introduces the reader to artificial in medicine and healthcare, and AI concepts. To render AI more understandable and relatable to the reader, case studies are used as a learning strategy to illustrate the aforementioned AI concepts. The cases implement AI in solving a very specific problem, clinical or operational, in clinical medicine or healthcare. Both cases that illustrate successful implementation of AI as unsuccessful application cases with important lessons learned are included. Each chapter can be read independently and therefore the book is a valuable resource for researchers, health professionals, postgraduate students, post doc researchers and faculty members in the fields of artificial intelligence in medicine and healthcare, and all those who wish to broaden their knowledge in the allied field.

Puntos claves

  • Insights from a senior chief intelligence officer with focus on machine and deep learning as well as related technologies, adoption strategies, and human elements in the era of AI.
  • A balanced approach that connects AI concepts with real-world clinical applications in a non-technical, synergistic manner.
  • Systematic presentation of case studies to help all stakeholders grasp the depth of AI thinking—making this a first-of-its-kind resource for transparency and relatability in healthcare AI.

De interès para

Researchers working across the biosciences in the fields of Bioinformatics, Computer Science, Biomedical and Computer Engineering

Índice

Section I: Introduction to Artificial Intelligence


1. Artificial Intelligence in Healthcare
Anthony Chang and Alfonso Limon

Section II: Data Science and Artificial Intelligence in Healthcare

2. Machine and Deep Learning
Anthony Chang and Alfonso Limon

Section III: Essential AI in Healthcare Topics

3. Ten Key Technologies in Healthcare AI
Anthony Chang and Alfonso Limon

4. Ten Essential Dimensions in Healthcare AI
Anthony Chang and Alfonso Limon

5. Ten Human-Related Topics in the Era of AI
Anthony Chang and Alfonso Limon

6. AI in Healthcare: Lessons Learned and Future Trends
Anthony Chang and Alfonso Limon

Section IV: AI in Healthcare Resources

7. Organizational AI Readiness Assessment
Anthony Chang and Alfonso Limon

Section V: AI in Healthcare Case Applications

8. Case Study 1: Addressing Organizational Structures to Deploy an AI-Ready, Enterprise Scale Data Architecture
Coleman Hilton

9. Case Study 2: Implementing Machine Learned Algorithms to Predict Patient Deterioration in Hospital
Muhammad Mamdani, Michael Colacci, Chloe Pou-Prom and Amol Verma

10. Case Study 3: Artificial Intelligence Applications for the Prevention, Diagnosis, and Management of Intraoperative Hypotension
Nour El Hage Chehade, Piyush Mathur and Ashish K. Khanna

11. Case Study 4: A Machine Learning-Based Risk Calculator for Personalized BPD Care: Predicting Readmission Risk
George El-Ferzli

12. Case Study 5: Clinical Documentation Improvements Following Introduction of AI-Enabled Software
Gregg Gascon, Tonya Motsinger, Tricia Ramey and Victoria Zigmont

13. Case Study 6: Development, Deployment, and Maintenance of a Tool for Predicting Hospital Inpatient Census
Andrew Cooper

14. Case Study 7: Supply-Eye: AI System that Automates the Tracking of Clinical Supplies Usage and Reordering
Vivek Tomer and Lindsay Mico

15. Case Study 8: Accuracy Improvement through the Development and Implementation of an Artificial Intelligence-Enabled Insurance Verification System
Ashley Ljubi, Alex Cameron, Randall Gabel and Gregg Gascon

16. Case Study 9: Predicting Extubation Success in Patients with Established Bronchopulmonary Dysplasia
George El-Ferzli

17. Case Study 10: Stroke Treatment and Outcomes at a Comprehensive Stroke Center Before and After Automated Emergent Large Vessel Occlusion Detection by Artificial Intelligence
Nirav Vora, Victoria Zigmont and Gregg Gascon

18. Case Study 11: Refocusing Predictive Modeling on Diagnostic Decision-Making Support
Changchang Yin, Gregg Gascon and Pang Zhang

19. Case Study 12: Leveraging a Large Language Model to Provide Clinical Documentation, Coding, and Quality Metric Extraction at Scale in Emergency Departments and Urgent Care
Joshua Tamayo-Sarver and Justin Mardjuki

20. Case Study 13: Audio and Immersion – Text-to-Speech within Immersive Healthcare
Joseph Morgan

21. Case Study 14: Deploying Ambient AI Scribes to Enhance Clinical Documentation and Reduce Provider Burnout
Helen Lu and Priti Patel

22. Case Study 15: Distributed Multi-Agent AI Application for Clinical Trial Recruiting
Timothy Chou

23. Case Study 16: Agentic AI with Practical Healthcare Applications Alfonso Limon

24. Case Study 17: Evaluation of Artificial Intelligence’s Impact on Patient Outcomes: The CLOT (Children’s Likelihood Of Thrombosis) Demonstration Project
Daniel Byrne and Shannon Walker

Detalles del producto

  • Edición: 1
  • Última edición
  • Publicado: 1 de octubre de 2026
  • Idioma: Inglés

Sobre los editores

AC

Anthony Chang

Dr. Anthony C. Chang is an active pediatric cardiologist and currently serves as Chief Intelligence and Innovation Officer at Rady Children’s Health. A pioneer in healthcare AI, he founded the American Board of AI in Medicine (ABAIM) and chairs the Alliance of Centers of AI in Medicine (ACAIM).

Afiliaciones y experiencia
Director, UChicago Medical Laboratories, Director, Renal Pathology and Renal Pathology Fellowship, Associate Director, Pathology Residency Program, University of Chicago, Chicago, Illinois, USA

AL

Alfonso Limon

Dr. Alfonso Limon is the Senior Data Scientist at Mi4 within Rady Children’s Health, specializing in AI and healthcare innovation. Previously served as a Principal at Oneirix Labs, a consulting firm specializing in computational intelligence for medical technology. Dr. Limon was Research Director at Intersection Medical (I-Med), where he developed decision-support algorithms for congestive heart failure, and previously managed the research team at Impedance Cardiology Systems. He serves as associate editor for Intelligence-Based Medicine, is a founding member of the American Board of AI in Medicine.

Afiliaciones y experiencia
Principal, Oneirix Labs, USA

GG

Gregg M. Gascon

Dr. Gregg M. Gascon is a data science advisor at OhioHealth facilitating artificial intelligence implementation, evaluation, and optimization. Dr. Gascon is an assistant adjunct professor of Biomedical Informatics in The Ohio State University’s College of Medicine and serves on the American Statistical Association’s Scientific and Public Affairs Advisory Committee, the American Board of Artificial Intelligence in Medicine, and the International AI in Medicine Education Working Group at the University of Toronto.

Afiliaciones y experiencia
OhioHealth, USA