Digital Health
Mobile and Wearable Devices for Participatory Health Applications
- 1st Edition - November 14, 2020
- Imprint: Elsevier
- Editors: Shabbir Syed-Abdul, Xinxin Zhu, Luis Fernandez-Luque
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 0 0 7 7 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 0 0 7 8 - 0
Digital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or imp… Read more
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Request a sales quoteDigital Health: Mobile and Wearable Devices for Participatory Health Applications is a key reference for engineering and clinical professionals considering the development or implementation of mobile and wearable solutions in the healthcare domain. The book presents a comprehensive overview of devices and appropriateness for the respective applications. It also explores the ethical, privacy, and cybersecurity aspects inherent in networked and mobile technologies. It offers expert perspectives on various approaches to the implementation and integration of these devices and applications across all areas of healthcare. The book is designed with a multidisciplinary audience in mind; from software developers and biomedical engineers who are designing these devices to clinical professionals working with patients and engineers on device testing, human factors design, and user engagement/compliance.
- Presents an overview of important aspects of digital health, from patient privacy and data security to the development and implementation of networks, systems, and devices
- Provides a toolbox for stakeholders involved in the decision-making regarding the design, development, and implementation of mHealth solutions
- Offers case studies, key references, and insights from a wide range of global experts
Graduate students, researchers, and professionals in biomedical engineering, clinical engineering, computer science, and medical informatics, working with the design, development, and implementation of mobile and wearable medical devices. Healthcare professionals (clinicians, nurses) working with engineers on the implementation and human factors design of mobile and wearable medical devices
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Contributors
- List of reviewers
- Preface
- Chapter 1. Introduction to digital health approach and mHealth applications for participatory health
- Chapter 2. Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and patient care to a new level
- 1. An introduction to the promise of the digital era
- 2. Opportunities for digital health in the context of personalized healthcare
- 3. Challenges throughout the life cycle of digital health solutions
- 4. Conclusions
- Chapter 3. Wearables, smartphones, and artificial intelligence for digital phenotyping and health
- 1. Towards digital phenotyping
- 2. Mobile health
- 3. Artificial intelligence
- 4. Toward objective measures of physical behaviors in epidemiology
- 5. Conclusion
- Chapter 4. Artificial intelligence/machine learning solutions for mobile and wearable devices
- 1. Mobile and wearable devices
- 2. Different types of data collected by mobile and wearable devices and applications
- 3. The components of mobile- and wearable devices–based applications
- 4. The ML solutions for mobile and wearable devices
- 5. Case study: the application of mobile and wearable device data in the COVID-19 pandemic
- 6. Conclusion
- Chapter 5. mHealth for research: participatory research applications to gain disease insights
- 1. Background on research mHealth applications
- 2. User engagement and participatory design in mHealth research
- 3. User engagement strategies and metrics
- 4. Making disease discoveries and insights from self-tracked data
- 5. Conclusion and discussion
- Chapter 6. Mobile health apps: the quest from laboratory to the market
- 1. Introduction
- 2. Business model
- 3. Context: business models
- 4. From business models to products
- 5. Product dependencies
- 6. Marketing strategy
- 7. Intellectual property rights
- 8. Business scenarios
- 9. Distribution: exploitation models
- 10. Product use cases
- 11. Conclusion
- Chapter 7. mHealth in public health sector: challenges and opportunities in low- and middle-income countries: a case study of Sri Lanka
- 1. Introduction
- 2. Use of mobile technology in the public health sector: Asian Regional context
- 3. Opportunities
- 4. Challenges
- Chapter 8. How to use the Integrated-Change Model to design digital health programs
- 1. Theory to understand health behavior
- 2. Integrated-Change Model
- 3. Digital health and tailoring
- 4. Pragmatic methodology to design digital health
- 5. Conclusions
- Chapter 9. Illustration of tailored digital health and potential new avenues
- 1. Case of tobacco smoking
- 2. New avenues of computer tailoring
- 3. Use of artificial intelligence to progress computer tailoring
- 4. Conclusions
- Chapter 10. Sustainability of mHealth solutions for healthcare system strengthening
- 1. Introduction
- 2. mHealth solutions: disruptive technologies as a remedy for a system under strain
- 3. Digital twin technology as an example of technology-driven healthcare system change
- 4. mHealth solutions sustainability
- 5. mHealth solutions: path to sustainability
- 6. Conclusion and future directions
- Chapter 11. Digital health regulatory and policy considerations
- 1. Learning objectives
- 2. Flow and rationale of the chapter structure
- 3. Fundamentals of government and healthcare
- 4. How the US federal government is organized
- 5. Health and human services law, regulations, and policy
- 6. Government and its impact on digital health
- 7. International regulation of digital health
- 8. Conclusion
- 9. Description of pedagogical elements (e.g., case study, infographics required, key references)
- Index
- Edition: 1
- Published: November 14, 2020
- No. of pages (Paperback): 232
- No. of pages (eBook): 232
- Imprint: Elsevier
- Language: English
- Paperback ISBN: 9780128200773
- eBook ISBN: 9780128200780
SS
Shabbir Syed-Abdul
Shabbir Syed-Abdul MD., PhD: an associate professor at Institute of Biomedical Informatics, Taipei Medical University. He is a leading researcher and a principal investigator at the International Center for Health Information Technology, Taipei, Taiwan. Dr. Shabbir has 15 years experience of research in the domain of Long-term care with Wearable technologies, mHealth, Big data analysis and visualisation, Artificial Intelligence, Personal Health Records, Social Network in healthcare and Hospital Information System. He wants to empower care providers and improve patient participation and engagement. Dr. Shabbir is an editor of the book ‘Participatory Health Through Social Media’ published by Elsevier in 2016. Also, Dr. Shabbir is guest editor for the Journal Sensors since March 2018.
Affiliations and expertise
Graduate Institute of Biomedical Informatics, Taipei Medical University, TaiwanXZ
Xinxin Zhu
Dr. Xinxin (Katie) Zhu brings diverse knowledge and experience across medicine, health program management, and biomedical informatics to her role as the Executive Director of the Center for Biomedical Data Science at Yale University School of Medicine. In addition to her medical training and practice in anesthesiology, she also received her M.S. in Computer Science from Rensselaer Polytechnic Institute and Ph.D. in Biomedical Informatics from Columbia University through the U.S. National Library of Medicine’s fellowship. Prior to joining Yale faculty, Dr. Zhu served as an External Advisory Board member of the Center for Advanced Technology at Columbia University, physician scientist lead for the Center for Computational Health at IBM Watson Research Center, associate medical director at Pfizer, and clinical project manager at Philips. She also worked among a group of healthcare subject matter experts at the U.S. Department of Veterans Affairs through Kforce Government Solutions where she served as Chief Medical Information Officer. She is the recipient of many excellence awards, and author of dozens of scientific publications and 13 filed patents. Dr. Zhu has also served as Chair for the American Medical Informatics Association’s Global Health Informatics Working Group, Membership Chair for the Consumer and Pervasive Health Informatics Working Group, as well as Scientific Program and Women Leadership Committee members.
Affiliations and expertise
Center for Biomedical Data Science, School of Medicine, Yale University, New Haven, CT, USALF
Luis Fernandez-Luque
Dr. Fernandez-Luque is co-founder of digital therapeutics company Adhera Health Inc (USA), and currently leads operations at its subsidiary Salumedia Labs (Spain). He has over 15 years of experience in digital health research with a strong focus on mobile health for behavioural change. He has worked in digital health initiatives across the globe including the Americas, Europe, Asia and Africa. He has served in multiple positions the International Medical Informatics Association, being one of the founders of its working group focused on participatory health and social media.
Affiliations and expertise
Adhera Health Inc, Palo Alto, CA, USARead Digital Health on ScienceDirect