ArticleAnnals of clinical and translational neurology2025
Actionable Wearables Data for the Neurology Clinic: A Proof-of-Concept Tool.
Article in Annals of clinical and translational neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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.
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Who cites it
2 citing papers in PubMed.
- Advancing Neurorehabilitation and Recovery Through Human Movement Quantification via Wearable Sensing.Neurorehabilitation and neural repair · 2026Article
- Psychometric evaluation of the Spanish-language version of the health information technology usability evaluation scale (Health-ITUES).International journal of medical informatics · 2026Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
objectiveWearable devices can monitor key health and fitness domains. In multiple sclerosis (MS), monitoring step count and sleep is feasible, valid, and offers a holistic glimpse of patient functioning and worsening. However, data generated from wearables are typically unavailable at the point of care. We describe the design, development, and evaluation of a proof-of-concept tool that delivers patient-generated wearables data in accessible, interpretable, and actionable formats to an outpatient Neurology clinic.
methodsThrough a process of human-centered design, stakeholders were engaged to create a technological solution to access and display wearables data via a launch from the electronic health record (EHR). Designs were informed by patient-centered observational research and clinician interviews to ensure user alignment and validity. Qualitative and quantitative evaluations (Health ITUES framework) as well as live observations of use assessed functionality, ease of use, and clinical integration.
resultsDuring development, 25 clinicians and four engineers across eight clinical settings provided feedback. The proof-of-concept wearable selected was Fitbit, which was connected via a custom solution to the EHR dashboard (BRIDGE). In the final validation, clinician satisfaction was high: mean scores > 4/5 for all performance and ease of use components. Live visualizations during clinical encounters highlighted a range of potential uses: detecting progression by step count, setting motivating and realistic activity goals despite limitations, referring to rehabilitation after activity drops, and measuring effects of interventions on sleep quality.
interpretationIntegrating wearables data into a clinical workflow for neurology is feasible and highlights novel areas to support shared decision-making and data-driven, personalized care.
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Registered trials
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