Digital Health: Mobile and Wearable Devices for Participatory Health Applications

Digital Health
Copyright
Dedication
Contributors
List of reviewers
Preface
1 . Introduction to digital health approach and mHealth applications for participatory health
References
2 . Digital health in the era of personalized healthcare: opportunities and challenges for bringing research and patient care t ...
1. An introduction to the promise of the digital era
2. Opportunities for digital health in the context of personalized healthcare
2.1 Personalization of healthcare: the relationship between data, digital technologies and advanced analytics
2.2 Digital health measures
2.3 Examples of digital health technologies in clinical research
2.4 Examples of digital health technologies throughout the care delivery pathway
2.4.1 Screening and diagnosis
2.4.2 Treatment decisions, monitoring, and adherence
2.4.3 Patient satisfaction, quality of life, and survival
2.4.4 Telehealth and digital interventions
3. Challenges throughout the life cycle of digital health solutions
3.1 Challenges in bringing digital health technologies to market
3.2 Challenges in the adoption of digital health technologies
4. Conclusions
Acknowledgments
Conflicts of interest
References
3 . Wearables, smartphones, and artificial intelligence for digital phenotyping and health
1. Towards digital phenotyping
2. Mobile health
3. Artificial intelligence
3.1 Traditional feature engineering modeling
3.2 Raw sensor time series modeling
4. Toward objective measures of physical behaviors in epidemiology
4.1 Introduction to epidemiological research
4.2 Traditional measurement of physical activity through questionnaires
4.3 The transition toward objective monitoring of physical behaviors
4.4 Analyzing physical activity: accelerometers for movement analysis
4.5 Human activity recognition
4.6 Multimodal sensing
5. Conclusion
Acknowledgments
References
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
Acknowledgment
References
5 . mHealth for research: participatory research applications to gain disease insights
1. Background on research mHealth applications
1.1 A case study: “The Citizen Endo Project and the Phendo Research App”
2. User engagement and participatory design in mHealth research
2.1 Case study: participatory design of Phendo
3. User engagement strategies and metrics
3.1 Case study: engagement strategies explored in Phendo
4. Making disease discoveries and insights from self-tracked data
4.1 Case study: gaining insights from participatory research
5. Conclusion and discussion
Acknowledgments
References
6 . Mobile health apps: the quest from laboratory to the market
1. Introduction
2. Business model
3. Context: business models
3.1 Hospital driven CF service
3.2 Self-management
3.3 Game/training
4. From business models to products
5. Product dependencies
6. Marketing strategy
7. Intellectual property rights
8. Business scenarios
8.1 Distribution through CF units and hospitals: Scenario 1
8.2 Business to bussiness: Scenario 2
8.3 Sponsorship: Scenario 3
9. Distribution: exploitation models
10. Product use cases
10.1 MyFoodREC, nutritional database
10.1.1 Users
10.1.2 Clients
10.1.3 Features
10.1.4 Competitors
10.1.5 SWOT analysis
10.1.6 Differential advantage
10.1.7 Unique value proposition
10.2 MyCyFAPP: mobile application
10.2.1 Users
10.2.2 Clients
10.2.3 Features
10.2.4 Competitors
10.2.5 SWOT analysis
10.2.6 Differential advantage
10.2.7 Unique value proposition
11. Conclusion
References
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
3.1 Objectives
3.2 Content
3.3 Information flow
3.4 Healthcare worker is empowered
3.5 Benefits to clients
4. Challenges
4.1 Objectives
4.2 Content
4.3 Hardware
4.4 Software
4.5 Network management
4.6 Capacity building
4.7 Monitoring and postimplementation support
References
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
4.1 Choice of the theoretical model
4.2 Goal and objectives of the computer-tailored intervention
4.3 Identification of salient beliefs
4.3.1 Literature research
4.3.2 Qualitative research: exploring relevant beliefs
4.3.3 Quantitative research: identifying the salient beliefs
4.4 Design the program content and algorithm
4.4.1 General idea and intervention components
4.4.2 Create change objectives and match with change methods
5. Conclusions
References
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
References
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
4.1 Economically viable mHealth strategy
4.2 Environmentally bearable mHealth strategy
4.3 Socially equitable mHealth strategy
5. mHealth solutions: path to sustainability
6. Conclusion and future directions
References
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
6.1 Food and Drug Administration—clarifying digital health
6.2 Office for Civil Rights—overseer of healthcare privacy and security
6.3 Centers for medicare and medicaid services—reimbursement of digital medical services
6.4 Office of the National Coordinator for health information technology—defining interoperability
6.5 Federal Trade Commission—protector of consumers and competition
6.6 National Institutes of Health—providing research and clinical evaluation to digital health
7. International regulation of digital health
8. Conclusion
9. Description of pedagogical elements (e.g., case study, infographics required, key references)
Index
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