Introduction: Digital health is a broad term that includes telecommunication technologies to collect, share and manipulate health information to improve patient health and health care services. With the growing use of wearables, artificial intelligence, machine learning, and other novel technologies, digital health is particularly relevant to the field of cardiac arrhythmias, with roles pertinent to education, prevention, diagnosis, management, prognosis, and surveillance.
Areas Covered: This review summarizes information on the clinical use of digital health technology in arrhythmia care and discusses its opportunities and challenges.
Expert Opinion: Digital health has begun to play an essential role in arrhythmia care regarding diagnostics, long-term monitoring, patient education and shared decision making, management, medication adherence, and research. Despite remarkable advances, integrating digital health technologies into healthcare faces challenges, including patient usability, privacy, system interoperability, physician liability, analysis and incorporation of the huge amount of real-time information from wearables, and reimbursement. Successful implementation of digital health technologies requires clear objectives and deep changes to existing workflows and responsibilities.
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http://dx.doi.org/10.1080/14779072.2023.2226868 | DOI Listing |
JMIR Ment Health
January 2025
Division of Psychiatry, University College London, London, United Kingdom.
Background: Digital interventions typically involve using smartphones or PCs to access online or downloadable self-help and may offer a more accessible and convenient option than face-to-face interventions for some people with mild to moderate eating disorders. They have been shown to substantially reduce eating disorder symptoms, but treatment dropout rates are higher than for face-to-face interventions. We need to understand user experiences and preferences for digital interventions to support the design and development of user-centered digital interventions that are engaging and meet users' needs.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Centre for Addiction and Mental Health, Toronto, ON, Canada.
Background: The onset of the COVID-19 pandemic precipitated a rapid shift to virtual care in health care settings, inclusive of mental health care. Understanding clients' perspectives on virtual mental health care quality will be critical to informing future policies and practices.
Objective: This study aimed to outline the process of redesigning and validating the Virtual Client Experience Survey (VCES), which can be used to evaluate client and family experiences of virtual care, specifically virtual mental health and addiction care.
JAMA Netw Open
January 2025
National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, Maryland.
Importance: Digital health in biomedical research and its expanding list of potential clinical applications are rapidly evolving. A combination of new digital health technologies (DHTs), novel uses of existing DHTs through artificial intelligence- and machine learning-based algorithms, and improved integration and analysis of data from multiple sources has enabled broader use and delivery of these tools for research and health care purposes. The aim of this study was to assess the growth and overall trajectory of DHT funding through a National Institutes of Health (NIH)-wide grant portfolio analysis.
View Article and Find Full Text PDFProg Orthod
January 2025
Institute for Innovation in Digital Healthcare (IIDH), Yonsei University Health System, Seoul, Korea.
World J Pediatr
January 2025
Binjiang Institute of Zhejiang University, Hangzhou, 310053, China.
Background: Digital technologies play an important role in improving the quality of healthcare services, however, many healthcare workers and students do not recognize this and have low levels of digital competencies and skills. Therefore, this paper aims to investigate digital perceptions and competencies among medical students in pediatrics and pediatric healthcare workers in China.
Methods: A questionnaire on digital competency was designed.
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