Integrating Consumer Wearables into Healthcare Delivery Models
A special issue of Sensors (ISSN 1424-8220).
Deadline for manuscript submissions: 30 March 2026 | Viewed by 41
Special Issue Editor
Interests: augmenting patient evaluations through health-sensor data; digital biomarker discovery; understanding adherence and abandonment of wearable health sensors
Special Issue Information
Dear Colleagues,
In recent years, consumer wearables (CWs), such as smartwatches, fitness trackers, sleep monitors, and smart rings, have transitioned from lifestyle accessories to powerful tools for continuous health monitoring. These devices are now capable of capturing a wide array of physiological and behavioral metrics, including heart rate variability, activity levels, sleep patterns, oxygen saturation, and even ECGs.
Despite their widespread adoption, the integration of CWs into healthcare delivery remains nascent, with uncertainty surrounding their clinical relevance, practical utility, and overall contribution to care models. Key challenges include achieving interoperability with electronic health records, standardizing data across diverse device platforms, validating performance against medical benchmarks, and translating continuous data streams into actionable insights for both clinicians and patients. As healthcare systems shift toward more connected, personalized, and value-based models, overcoming these barriers will be critical to unlocking the full potential of CWs in supporting scalable, evidence-based, and patient-centered care.
This Special Issue invites original research and case studies that examine how CWs are being integrated into healthcare delivery models. We welcome interdisciplinary contributions spanning clinical informatics, biomedical engineering, public health, and related fields that address both the technical and systemic dimensions of wearable integration in real-world care settings.
Potential topics include, but are not limited to, the following:
- Interoperability and standardization of CW data within EHRs;
- Validation of CWs against clinical standards;
- Clinical applications of digital biomarkers derived from CWs;
- Clinical decision support tools powered by CWs and machine learning;
- Personalized health interventions and real-time feedback enabled by CWs;
- Remote monitoring and virtual care delivery supported by CWs;
- Multisensor fusion with IoT and mobile devices;
- Adherence, engagement, and behavior changes enabled by CWs.
Dr. Louis Faust
Guest Editor
Manuscript Submission Information
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Keywords
- consumer wearables
- health sensors
- healthcare delivery
- machine learning
- data interoperability
- digital biomarkers
- clinical decision support
- remote patient monitoring
- electronic health records (EHRs)
- adherence
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