ArticleYearbook of medical informatics2016
Unintended Consequences of Wearable Sensor Use in Healthcare. Contribution of the IMIA Wearable Sensors in Healthcare WG.
Article in Yearbook of medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Use of Mobile Sensing Data for Longitudinal Monitoring and Prediction of Depression Severity: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Bayesian continuous-time hidden Markov models with covariate selection for intensive longitudinal data with measurement error.Psychological methods · 2023Trial
- Article
- Telehealth and Precision Prevention: Bridging the Gap for Individualised Health Strategies.Yearbook of medical informatics · 2024Review
- Evaluation of the Parkinson's Remote Interactive Monitoring System in a Clinical Setting: Usability Study.JMIR human factors · 2024Article
- Considering and understanding developmental and deployment barriers for wearable technologies in neurosciences.Frontiers in neuroscience · 2024Article
- Recent Advances in Skin-Interfaced Wearable Sweat Sensors: Opportunities for Equitable Personalized Medicine and Global Health Diagnostics.ACS sensors · 2023Review
- Patient and Clinician Perceptions of the Pulse Oximeter in a Remote Monitoring Setting for COVID-19: Qualitative Study.Journal of medical Internet research · 2023Article
- Physics-informed neural networks for modeling physiological time series for cuffless blood pressure estimation.NPJ digital medicine · 2023Article
- Physics-Informed Neural Networks for Modeling Physiological Time Series: A Case Study with Continuous Blood Pressure.Research square · 2023Article
- The medical cyborg concept.EMBnet.journal · 2022Article
- Key Challenges and Opportunities for Cloud Technology in Health Care: Semistructured Interview Study.JMIR human factors · 2022Article
- A comprehensive survey on non-invasive wearable bladder volume monitoring systems.Medical & biological engineering & computing · 2021Review
- Arrhythmia in an athlete diagnosed by smartphone electrocardiogram: a case report.European heart journal. Case reports · 2021Article
- The emerging clinical role of wearables: factors for successful implementation in healthcare.NPJ digital medicine · 2021Review
- Article
- Ethics in Design and Implementation of Technologies for Workplace Health Promotion: A Call for Discussion.Frontiers in digital health · 2021Article
- Fit-for-Purpose Biometric Monitoring Technologies: Leveraging the Laboratory Biomarker Experience.Clinical and translational science · 2021Review
- Opportunities and Challenges Surrounding the Use of Data From Wearable Sensor Devices in Health Care: Qualitative Interview Study.Journal of medical Internet research · 2020Article
- SHARE IT: Co-designing a sustainability impact assessment framework for urban food sharing initiatives.Environmental impact assessment review · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAs wearable sensors take the consumer market by storm, and medical device manufacturers move to make their devices wireless and appropriate for ambulatory use, this revolution brings with it some unintended consequences, which we aim to discuss in this paper.
methodsWe discuss some important unintended consequences, both beneficial and unwanted, which relate to: modifications of behavior; creation and use of big data sets; new security vulnerabilities; and unforeseen challenges faced by regulatory authorities, struggling to keep pace with recent innovations. Where possible, we proposed potential solutions to unwanted consequences.
resultsIntelligent and inclusive design processes may mitigate unintended modifications in behavior. For big data, legislating access to and use of these data will be a legal and political challenge in the years ahead, as we trade the health benefits of wearable sensors against the risk to our privacy. The wireless and personal nature of wearable sensors also exposes them to a number of unique security vulnerabilities. Regulation plays an important role in managing these security risks, but also has the dual responsibility of ensuring that wearable devices are fit for purpose. However, the burden of validating the function and security of medical devices is becoming infeasible for regulators, given the many software apps and wearable sensors entering the market each year, which are only a subset of an even larger 'internet of things'.
conclusionWearable sensors may serve to improve wellbeing, but we must be vigilant against the occurrence of unintended consequences. With collaboration between device manufacturers, regulators, and end-users, we balance the risk of unintended consequences occurring against the incredible benefit that wearable sensors promise to bring to the world.
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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.