Diabetes Digital Health, Telehealth, and Artificial Intelligence
- 1st Edition - June 14, 2024
- Editors: David C. Klonoff, David Kerr, Juan Espinoza
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 4 4 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 3 2 4 3 - 8
Diabetes Digital Health, Telehealth, and Artificial Intelligence explains how to develop and use the emerging technologies of digital health, telehealth, and artificial intellige… Read more
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Request a sales quoteDiabetes Digital Health, Telehealth, and Artificial Intelligence explains how to develop and use the emerging technologies of digital health, telehealth, and artificial intelligence to address this important public health problem to deliver new hardware, software, and processes. The book explores trends in developing and deploying the three most important emerging technologies for diabetes: digital health, telehealth, and artificial intelligence. This book is essential to clinicians, scientists, engineers, industry professionals, regulators, and investors, offering the tools that will be used to create the next generation products to support a precision medicine approach to manage diabetes.
According to the CDC, in the US there are 37 million people with diabetes and 96 million people with prediabetes. Diabetes triples the risk of myocardial infarction and stroke and is the leading cause of blindness, end stage renal failure, and amputations. The management of diabetes is becoming increasingly dominated by digital health tools consisting of wearable sensors, mobile applications providing decision support software, and wireless communication tools. Digital health provides new data streams that can be combined to create unique approaches for diabetes based on a precision medicine paradigm.
- Includes Artificial intelligence (AI) data for the prediction, diagnosis, treatment, and prognostication for diabetes as a model disease
- Describes the most important issues of our time that comprise the most important technologies currently being applied to diabetes
- Presented in a consistent easy to help those new to the field understand and compare/contrast various elements of digital health, telehealth, and artificial intelligence for diabetes
Diabetes healthcare professionals (physicians, nurses, educators, researchers, clinicians) Hospital and clinic administrators Public health epidemiologists/ funding allocators IT engineers and mobile app developers Medical record database developers Sociologists Diabetes device entrepreneurs Regulators and intellectual property attorneys Mathematicians / algorithm developers for medical devices Computer scientists working in the medical device industry Diabetes patients who are interested in technology
- Cover image
- Title page
- Table of Contents
- Copyright
- Contributors
- Preface
- Acknowledgments
- Part I. Digital health
- Chapter 1. Trends in Digital Health for Diabetes
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 2. Using Digital Health Tools in Medical Practice
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 3. Diabetes Digital Health in the Hospital
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 4. Digital Pharmacy for Diabetes
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 5. Digital Health and Pharmacoadherence
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 6. Food Recognition and Nutritional Apps
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 7. Accessing and Acting Upon Patient-Generated Health Data
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 8. Cybersecurity of Digital Health Tools
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 9. The Role of Digital Health in Tackling India's Diabetes Epidemic
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 10. Investment Opportunities in Diabetes Digital Health
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Part II. Virtual Care: Synchronous and Asynchronous Modalities in Diabetes Care
- Chapter 11. Virtual Care: Synchronous and Asynchronous Modalities in Diabetes Care
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 12. Trends in Digital Connectivity
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 13. Diabetes Education via Telehealth
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 14. Short Message Service (SMS) Text Messages in Health Care
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 15. Integration of Continuous Glucose Monitoring Data Into the Electronic Health Record
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 16. Telehealth in Pediatric Diabetes Management
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 17. Telehealth for Pregnant Individuals with Diabetes
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 18. Telehealth for Multispecialty Diabetes Care
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 19. Virtual Reality for Diabetes Telehealth
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Part III. Artificial intelligence
- Chapter 20. Introduction to Artificial Intelligence in Diabetes
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 21. Ethics and Fairness for Diabetes Artificial Intelligence
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 22. Artificial Intelligence to Support Self-management and Coaching
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 23. Predicting Glucotypes in Prediabetes via Wearables and Artificial Intelligence
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 24. Tele-ophthalmology for Diabetic Retinopathy
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 25. Review of Advancements in Noninvasive Detection Techniques of Foot Complications Due to Diabetes
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 26. Artificial Intelligence in Automated Hormone Delivery
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 27. Natural Language Processing for Diabetes Digital Health
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Chapter 28. Artificial Intelligence for Diabetes in the Hospital
- Statistics
- Introduction
- Current Status
- Barriers
- Solutions
- Future Directions
- Conclusion
- Index
- No. of pages: 404
- Language: English
- Edition: 1
- Published: June 14, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443132445
- eBook ISBN: 9780443132438
DK
David C. Klonoff
Dr. David C. Klonoff, MD, FACP, FRCP (Edin), is an endocrinologist specializing in the development of diabetes technology. He is Medical Director of the Dorothy L. and James E. Frank Diabetes Research Institute of Mills-Peninsula Medical Center in San Mateo, California and a Clinical Professor of Medicine at UCSF, USA. Dr. Klonoff received the American Diabetes Association’s 2019 Outstanding Physician Clinician Award. He has received an FDA Director’s Special Citation Award for outstanding contributions related to diabetes technology. He is the Founding Editor-in-Chief of Journal of Diabetes Science and Technology and co-founded the Digital Diabetes Congress. He chairs the Scientific Advisory Board for the Texas A&M University Precise Advanced Technologies and Health Systems for Underserved Populations (PATHS-UP) Engineering Research Center. He is currently researching new devices and drugs for diabetes. Dr. Klonoff graduated from UC Berkeley and UCSF Medical School and did five years of internal medicine and endocrinology training at UCLA and UCSF.
Affiliations and expertise
Clinical Professor of Medicine, U.C. San Francisco,Mills-Peninsula Medical Center, San Mateo, California, USA.DK
David Kerr
David Kerr MBChB, DM, FRCP, FRCPE, is a UK trained endocrinologist and has recently joined Sutter Health after spending almost a decade as a researcher/innovator in Santa Barbara, CA (https://www.davidkerrmd.com/). This began in 2014, with David’s appointment as Director of Research and Innovation at Sansum Diabetes Research Institute before moving to the Diabetes Technology Society as their lead for Digital Health last year. David has now joined Sutter Health as Senior Investigator, Diabetes Research and Digital Health Equity.
David’s recent research has focused on offering wearable digital health technologies such as continuous glucose monitors to marginalized and historically excluded communities to help understand the potential value of real time physiological data. He has published more than 400 articles, commentaries and opinion pieces as well as co-authoring the first two books focusing on diabetes and digital health.
David’s research has also included the use of “food-as-medicine” for adults with or at-risk of diabetes. As part of this research, increasing participation in clinical research by traditionally hard to reach communities has been achieved through the creation of specially trained “Community Scientists” from the same communities. David also has an adjunct position in the Dept of Computer Science and Electrical Engineering at Rice University in Houston Texas, and recently co-Chair of an NIDDK working group looking at the impact of innovation on furthering research into the heterogeneity of diabetes.
You can follow David on ‘X’ at @godiabetesmd.
Affiliations and expertise
Sutter Health Center for Health Systems Research, Santa Barbara, California, USA Rice University, Houston, Texas, USAJE
Juan Espinoza
Dr. Juan Espinoza is Director of the West Coast Consortium for Technology & Innovation Paediatrics) which is working with a $6.6 million FDA grant. Dr. Espinoza and Klonoff are co-Chairs of iCoDE, the multistakeholder project to create a standard for automatic integration of continuous glucose monitor data into the election health record.
Affiliations and expertise
Stanley Manne Children’s Research Institute, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois, USARead Diabetes Digital Health, Telehealth, and Artificial Intelligence on ScienceDirect