Patient Wearable Device Engagement in EHR, 843 Patients 2023-2025

843 patients connected consumer wearable devices to a large US academic medical center's EHR between 2023 and 2025. The dataset likely contains engagement metrics, demographics, and device types, with a mean patient age of 48 years and 41% female. It was created by Michael Sobolev and published on figshare in May 2026.

Use Cases

• Analyze early adoption patterns of consumer wearables based on device popularity metrics
• Model patient disengagement over time using survival analysis techniques mentioned
• Identify demographic factors influencing engagement based on gender and step count variables
• Benchmark wearable device integration in clinical settings based on EHR connection data

Strengths

• 843 patient records with specific demographics (mean age 48, 41% female)
• Clear temporal coverage from 2023 to 2025
• Quantified device popularity (Apple Watch 56%, Oura ring 7.7%, Fitbit 4.6%)
• 82% engagement rate at three months reported

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic or institutional bias inherent to a single US medical center

Provenance

Source

figshare

Collection Method

Analysis of device data from patients who connected wearables to an EHR

Time Range

2023-2025

Freshness

Last updated 2026-05-07 04:37:21

Geography

United States (large academic medical center)