Digital technology in public health and rehabilitation care : COVID era /
Digital Technology in Public Health and Rehabilitation Care: COVID Era provides an in-depth examination on how digital technology has impacted public health and rehabilitation during the COVID-19 pandemic. The book showcases the range of digital technology applications utilized in healthcare, includ...
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| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
London :
Academic Press,
[2025]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Front Cover
- Digital Technology in Public Health and Rehabilitation Care
- Copyright Page
- Contents
- List of contributors
- Preface
- I. Introduction
- health care transition
- 1 Historical overview and the evolution of digital health
- Learning outcomes
- 1.1 Introduction
- 1.2 Definitions of digital health, telemedicine, e-health, and mHealth
- 1.3 The emergence of telemedicine, electronic medical records, and digital health
- 1.4 Electric telegraph and Civil War (1800-44)
- 1.5 Telephone, photophone, radio (1850-1900)
- 1.6 Radio, electroencephalogram, electrocardiograms, and telemedicine (1900s-1960s)
- 1.7 Electronic medical records and digital health (1960-90s)
- 1.8 Internet and information access and digital health (2000-10s)
- 1.9 Data integration and analytics and digital health (2010-20s)
- 1.10 Impact of COVID-19 and digital health acceleration (2020s-present)
- 1.11 Conclusion
- References
- 2 Transition to digital health: a necessity, not a luxury
- Learning objectives
- 2.1 Introduction
- 2.2 History of healthcare delivery
- 2.3 Barriers in shifting to digital health
- 2.4 Facilitators in shifting to digital health
- 2.5 Advantages of digital health
- 2.6 Future of digital health
- 2.7 Transition: move from luxury to need for digital health
- References
- Further reading
- II. Digital health and telehealth applications in rehabilitation care and public health practice
- 3 Telemedicine and telehealth
- Learning outcomes
- 3.1 What is telehealth and telemedicine?
- 3.2 The history of telehealth and telemedicine
- 3.3 What is the goal of telehealth and telemedicine?
- 3.4 How is telehealth and telemedicine delivered?
- 3.5 Outcomes for telemedicine and telehealth
- 3.5.1 Cardiac rehabilitation
- 3.5.1.1 Impact of telehealth and telemedicine on cardiac rehabilitation outcomes.
- 3.5.2 Chronic obstructive pulmonary disease
- 3.5.2.1 Impact of telehealth and telemedicine on chronic obstructive pulmonary disease outcomes
- 3.5.3 Diabetes mellitus
- 3.5.3.1 Impact of telehealth and telemedicine in the diagnosis of retinopathy related to diabetes mellitus
- 3.6 Collection of data via telehealth and telemedicine
- 3.6.1 Validity
- 3.6.2 Reliability
- 3.6.3 Impact of results on individuals
- 3.7 Patient satisfaction with telehealth and telemedicine
- 3.8 Considerations when delivering telehealth and telemedicine
- 3.9 Upskilling health care professionals
- 3.9.1 Frameworks for telehealth delivery
- 3.9.2 Impediments to providing telehealth training
- 3.10 Conclusions
- References
- 4 Digital centers and telehealth for marginalized communities during COVID-19: the case of Bangladesh
- Learning objectives
- 4.1 Introduction
- 4.2 Role of telehealth and its application during COVID-19
- 4.2.1 Background of telehealth
- 4.2.2 Accelerated penetration of telehealth during COVID-19
- 4.3 Contemporary state of telehealth in Bangladesh during COVID-19
- 4.4 Digital centers in Bangladesh: telehealth services for the marginalized people
- 4.5 Conclusion
- Conflict of interest
- References
- 5 Virtual care in speech-language pathology
- Learning objectives
- 5.1 Introduction
- 5.1.1 Virtual care
- 5.2 Instilling success
- 5.3 Basics
- 5.3.1 Beginner learning: opening a session
- 5.3.1.1 Quieting your body and mind
- 5.3.1.2 Being present for your client
- 5.3.1.3 Session language
- 5.3.2 Helping the client with virtual care
- 5.3.2.1 Manipulating your screen and audio
- 5.4 Translating care from in person to virtual intervention for the client poststroke
- 5.4.1 The life participation approach to aphasia
- 5.4.1.1 Supported conversation for adults with aphasia.
- 5.4.1.2 Incorporating principles of neuroplasticity
- 5.4.2 Building an online community
- 5.5 Conclusion
- References
- 6 The future of digital mental health care: challenges and opportunities for practice
- Learning objectives
- 6.1 Introduction
- 6.2 Digital health, digital medicine, and DTx
- 6.2.1 Digital health
- 6.2.2 Digital medicine
- 6.2.3 Digital therapeutics
- 6.3 Digital mental healthcare
- 6.4 Digital mental healthcare interventions-analyzing the effectiveness, safety, and acceptability of providing person-cent...
- 6.5 Cultural adaptation of digital therapeutics in mental healthcare
- 6.6 Ethical and legal implications in digital mental healthcare interventions
- 6.7 Future of digital mental health-integrating digital mental healthcare into clinical practice
- 6.7.1 Here are some potential trends and developments that may shape the future of this field
- 6.7.2 Challenges of integrating digital mental healthcare into clinical practice
- 6.8 Conclusion
- References
- III. Digital health applications in older adults
- 7 Recent trends and digital technology applications in lower limb injury rehabilitation
- Learning objectives
- 7.1 Introduction
- 7.2 Immersive technology
- 7.2.1 Designs for rehabilitation environments by dynamics virtual reality
- 7.2.2 Rehabilitation is gamified by Improfit
- 7.3 Telehealth (telerehabilitation)
- 7.3.1 Online physiotherapy software by Phyt Health
- 7.3.2 E-Rehabilitation and networking by Telewecure
- 7.4 Rehabilitation wearables
- 7.4.1 Smart Ms3 manufactures electromyography wearable sensors
- 7.4.2 Denton creates 3D movement tracking
- 7.5 Rehabilitation robotics
- 7.5.1 Exoskeleton
- 7.5.1.1 Lightweight design
- 7.5.1.2 Soft robotics
- 7.5.1.3 Sensor technology
- 7.5.1.4 Neurological control
- 7.5.1.5 Hybrid systems
- 7.5.1.6 Personalization.
- 7.5.2 Exoskeleton hands by Nureab
- 7.5.3 Soft robots by Fleming MedLab
- 7.6 Personalized pre-rehab diagnostics
- 7.6.1 Active testing for gait by LAAF
- 7.6.2 Multimodal imaging by Voxel AI
- 7.7 Photo- and electrotherapy
- 7.7.1 Neuro20 creates suits for muscle recovery
- 7.7.2 LUMINOUSRED Advances Red Light Therapy
- 7.8 Artificial intelligence
- 7.8.1 Breathment enables AI-based remote patient management
- 7.8.2 AI-driven rehabilitation solutions by Rootally
- 7.8.3 ChatGPT and Bing AI
- 7.9 Neurofeedback
- 7.9.1 Remote neurofeedback solutions by Divergence Neuro
- 7.9.2 Neurostimulation headset by Exsurgo
- 7.10 Technology for lightening/unweighting
- 7.10.1 Lightweight passive exoskeleton built by MEBSTER
- 7.10.2 Microgravity treadmills developed by Boost Treadmills
- 7.11 Analytics and big data
- 7.11.1 Interdisciplinary dataset developed by Precise4Q
- 7.11.2 Data-as-a-service for rehabilitation
- 7.11.3 Impact of rehabilitation technology in 2023
- 7.11.4 Limitations of rehabilitation technology in 2023
- 7.12 Conclusion
- References
- 8 Telerehabilitation: a new frontier in rehabilitation care during the COVID-19
- Learning outcomes
- 8.1 Introduction
- 8.2 What is telerehabilitation?
- 8.3 History of telerehabilitation
- 8.4 The need for telerehabilitation during the COVID-19 pandemic
- 8.5 Advantages of telerehabilitation
- 8.6 Types of telerehabilitation
- 8.7 Challenges of tele-rehabilitation during the COVID-19 pandemic
- 8.8 Strategies to overcome challenges of telerehabilitation
- 8.9 Best practices for implementing telerehabilitation
- 8.10 Telerehabilitation and healthcare disparities
- 8.11 Application of telerehabilitation for specific conditions
- 8.12 Future directions for telerehabilitation
- 8.13 Conclusion
- References.
- 9 Opportunities and challenges for the implementation and uptake of robots in residential care
- Learning outcomes
- 9.1 Introduction
- 9.2 Robotics in aged care
- 9.2.1 Assistive robots
- 9.2.2 Service robots
- 9.2.3 Socially assistive robots
- 9.2.4 Teleoperated robots
- 9.3 Research study in robotics and aged care
- 9.3.1 Participants
- 9.3.2 Data collection
- 9.3.3 Data Analysis
- 9.4 Research outcomes of robotics-based aged care
- 9.4.1 Participant demographics
- 9.4.2 Stakeholders' perceptions
- 9.4.2.1 Workforce challenges
- 9.4.2.2 Potential Areas of Application
- 9.4.2.2.1 Emotional support, companionship, and social support
- 9.4.2.2.2 Personal care and activities of daily living
- 9.4.2.2.3 Mobility, Navigation, and Fall Prevention
- 9.4.2.2.4 Entertainment
- 9.4.2.2.5 Medication Management
- 9.4.2.2.6 Logistics-Food, Laundry, and Cleaning
- 9.4.2.2.7 Ad-hoc trivial tasks and telepresence robots
- 9.4.2.3 Intention to use robots
- 9.4.2.4 Design considerations
- 9.4.2.5 Challenges and considerations for implementation
- 9.4.2.5.1 Cost and funding
- 9.4.2.5.2 Long-term use and integration into practice
- 9.4.3 Residents' perceptions
- 9.4.3.1 Potential application areas
- 9.4.3.2 Intention to use
- 9.4.3.3 Design and integration considerations
- 9.5 Discussion
- 9.5.1 Implications for designers, researchers and service providers
- 9.5.2 Limitations of this study
- 9.6 Conclusion
- Acknowledgments
- References
- 10 Digital healthcare methods for geriatric rehabilitation
- Learning objectives
- 10.1 Introduction
- 10.2 Geriatric diseases or disorder
- 10.2.1 Alzheimer's disease
- 10.2.1.1 Statistics
- 10.2.1.2 Influence of COVID-19
- 10.2.1.3 Management
- 10.2.1.4 Digital methods
- 10.2.2 Parkinson's disease
- 10.2.2.1 Statistics
- 10.2.2.2 Influence of COVID-19
- 10.2.2.3 Management.