ArticleJournal of medical Internet research2020
Opportunities and Challenges Surrounding the Use of Data From Wearable Sensor Devices in Health Care: Qualitative Interview Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
27 citing papers in PubMed.
- From Metrics to Meaning in Neurological Rehabilitation: Clinicians' Perspectives on Digital Metrics of Upper Limb Functioning-A Focus Group Study.JMIR rehabilitation and assistive technologies · 2026Article
- Practical Use of Wearable Activity Measurement Devices in Orthopaedic Surgery: A Qualitative Analysis of Multidisciplinary Expert Experience.Journal of clinical medicine · 2026Article
- Engaging Older Adults to Guide the Development of Passive Home Health Monitoring to Support Aging in Place.Sensors (Basel, Switzerland) · 2025Article
- Wearable sensor data visualization for patient monitoring and management: a Cancer Wellness application in Vietnam.Future science OA · 2025Article
- Multimodal AI in Biomedicine: Pioneering the Future of Biomaterials, Diagnostics, and Personalized Healthcare.Nanomaterials (Basel, Switzerland) · 2025Review
- Opportunities and Challenges Surrounding the Use of Wearable Sensor Bracelets for Infectious Disease Detection During Hajj: Qualitative Interview Study.JMIR formative research · 2025Article
- Returning Individualized Wearable Sensor Results to Older Adult Research Participants: A Pilot Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- [Research progress in application of intelligent remote follow-up mode in hip and knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025Review
- Leveraging AI-enhanced digital health with consumer devices for scalable cardiovascular screening, prediction, and monitoring.NPJ cardiovascular health · 2025Review
- The utility of personal wearable data in long COVID and personalized patient care.NPJ digital medicine · 2024Article
- Personalized and predictive strategies for diabetic foot ulcer prevention and therapeutic management: potential improvements through introducing Artificial Intelligence and wearable technology.Medicine and pharmacy reports · 2024Review
- An Infrastructure Framework for Remote Patient Monitoring Interventions and Research.Journal of medical Internet research · 2024Article
- Acceptability and concerns about innovative wearable health sensors in persons with and without chronic disease diagnosis.Internet interventions · 2024Article
- SmartWear body sensors for neurological and neurosurgical patients: A review of current and future technologies.World neurosurgery: X · 2024Review
- Security Risks and User Perception towards Adopting Wearable Internet of Medical Things.International journal of environmental research and public health · 2023Article
- Recommendations for the Quality Management of Patient-Generated Health Data in Remote Patient Monitoring: Mixed Methods Study.JMIR mHealth and uHealth · 2023Article
- Comparison between Two Time Synchronization and Data Alignment Methods for Multi-Channel Wearable Biosensor Systems Using BLE Protocol.Sensors (Basel, Switzerland) · 2023Article
- Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter?Sensors (Basel, Switzerland) · 2023Review
- Perceptions of a Secure Cloud-Based Solution for Data Sharing During Acute Stroke Care: Qualitative Interview Study.JMIR formative research · 2022Article
- Addressing privacy concerns for mobile and wearable devices sensors: Small-group interviews with healthy adults and cancer survivors.PEC innovation · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundWearable sensors connected via networked devices have the potential to generate data that may help to automate processes of care, engage patients, and increase health care efficiency. The evidence of effectiveness of such technologies is, however, nascent and little is known about unintended consequences.
objectiveOur objective was to explore the opportunities and challenges surrounding the use of data from wearable sensor devices in health care.
methodsWe conducted a qualitative, theoretically informed, interview-based study to purposefully sample international experts in health care, technology, business, innovation, and social sciences, drawing on sociotechnical systems theory. We used in-depth interviews to capture perspectives on development, design, and use of data from wearable sensor devices in health care, and employed thematic analysis of interview transcripts with NVivo to facilitate coding.
resultsWe interviewed 16 experts. Although the use of data from wearable sensor devices in health and care has significant potential in improving patient engagement, there are a number of issues that stakeholders need to negotiate to realize these benefits. These issues include the current gap between data created and meaningful interpretation in health and care contexts, integration of data into health care professional decision making, negotiation of blurring lines between consumer and medical care, and pervasive monitoring of health across previously disconnected contexts.
conclusionsStakeholders need to actively negotiate existing challenges to realize the integration of data from wearable sensor devices into electronic health records. Viewing wearables as active parts of a connected digital health and care infrastructure, in which various business, personal, professional, and health system interests align, may help to achieve this.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.