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Wearable Integrations

Use cases

Healthcare Wearable Integration Use Cases

Each use case puts different demands on an integration: how fresh the data must be, which devices are acceptable, where results are reviewed, and what regulatory context applies. Below is what each one typically involves.

Remote Patient Monitoring

RPM programs depend on readings arriving reliably, attached to the right patient, with enough context for a nurse or care manager to act. We connect cellular and Bluetooth devices or vendor clouds to your RPM platform, flag missing transmissions, and keep a per-patient record of device days and review activity that your billing and compliance teams can audit.

Reimbursement rules are set by CMS and payers and change annually. The integration records the data your team needs to verify eligibility; it does not make billing determinations.

Typical data

  • Blood pressure
  • Weight
  • SpO2
  • Blood glucose
  • Heart rate

Common sources

  • Cellular BP cuffs and scales
  • BLE devices via mobile app
  • Vendor clouds (e.g., Withings)

Chronic Disease Management

Chronic care teams need trends, not raw sample streams. We aggregate readings into daily and weekly summaries, compute rule-based thresholds your clinicians define (for example, weight gain over a set period in heart failure programs), and route only the exceptions to a review queue.

Thresholds and escalation rules are clinical decisions owned by your care team. We implement and test them; we do not set them.

Typical data

  • Weight trends
  • Home BP averages
  • Activity
  • Resting heart rate
  • SpO2

Common sources

  • Connected scales
  • BP monitors
  • Smartwatches
  • Pulse oximeters

Cardiac Monitoring

Some consumer devices expose single-lead ECG recordings and irregular rhythm notifications to third-party apps with user permission. We pull these alongside continuous heart rate and HRV, store waveforms in a form clinicians can review, and keep the device model and software version attached to each record.

Consumer ECG features have specific cleared indications. Using them for diagnosis or as part of a regulated product requires your own clinical and regulatory review.

Typical data

  • Heart rate
  • HRV
  • Single-lead ECG
  • Irregular rhythm notifications
  • Resting HR

Common sources

  • Apple Watch via HealthKit
  • Fitbit Web API
  • Withings ScanWatch
  • Chest straps via BLE

Diabetes Management

CGM data arrives as frequent estimated glucose values that need careful handling of units, sensor sessions, gaps and backfill. We integrate available CGM data paths, compute labelled summary metrics such as time in range, and place glucose next to the activity and sleep data that explain it.

CGM API access usually requires vendor approval, and some data paths are delayed. Software that drives dosing decisions is in a different regulatory category.

Typical data

  • Estimated glucose values
  • Fingerstick readings
  • Insulin events (where available)
  • Activity
  • Sleep

Common sources

  • CGM vendor APIs (approval required)
  • HealthKit / Health Connect
  • BLE glucometers

Fitness and Wellness Applications

Wellness products usually need to support whatever device the user already owns. We build a single data model across HealthKit, Health Connect and cloud APIs, handle the overlap when one user has several sources, and keep each vendor's rate limits and consent rules separate.

Wellness apps outside HIPAA may still be covered by the FTC Health Breach Notification Rule and state privacy laws.

Typical data

  • Steps
  • Workouts
  • Active energy
  • Recovery and readiness scores
  • VO2 max estimates

Common sources

  • Garmin
  • Fitbit
  • Oura
  • Polar
  • Apple Health
  • Health Connect

Sleep Monitoring

Each vendor defines sleep sessions and stages differently, and staging algorithms are proprietary. We keep the vendor's own values, add a normalized session model for comparisons, and label which metrics are vendor-derived scores rather than measurements.

Consumer sleep staging is not polysomnography. Present it as trend data unless validated for your use.

Typical data

  • Sleep sessions
  • Sleep stages
  • Overnight HR and HRV
  • Respiratory rate
  • SpO2 variation

Common sources

  • Oura
  • Withings Sleep Analyzer
  • Smartwatches
  • Health Connect

Elderly Care Monitoring

Many older patients do not want to manage an app. Cellular devices and home hubs remove the phone from the loop. We integrate those gateways, monitor device connectivity so staff know when a device has gone quiet, and support caregiver access where your consent model allows it.

Fall detection and emergency features are device functions with their own limits. Integration should never be presented as an emergency response service.

Typical data

  • Vitals
  • Activity levels
  • Device check-ins
  • Fall alerts (device-dependent)

Common sources

  • Cellular hubs
  • Pre-paired cellular devices
  • Home IoT sensors

Post-Discharge Patient Monitoring

Post-discharge programs start and end on known dates. We trigger enrollment from EHR events, ship or pair devices, stream readings to a transitional care team, and write a summary back to the chart at the end of the monitoring window.

Write-back options depend on your EHR configuration and the integration methods your health system permits.

Typical data

  • Daily vitals
  • Weight
  • SpO2
  • Symptom check-ins

Common sources

  • Loaner RPM kits
  • Patient-owned wearables
  • EHR ADT events

Clinical Research and Wearable Data Collection

Research teams need reproducible data: fixed device models, recorded firmware versions, raw data where available, and audit trails for every transformation. We build collection pipelines with participant consent tracking, export to your analysis environment, and support FHIR Bulk Data or flat files depending on the study's needs.

Regulated studies may need 21 CFR Part 11 controls and IRB-approved consent language. We implement technical controls to your study's specifications.

Typical data

  • Raw sensor streams (device-dependent)
  • Daily summaries
  • Adherence / wear time
  • ECG and PPG where exposed

Common sources

  • Polar BLE SDK
  • Garmin Health API
  • Fitbit Web API (intraday by approval)
  • HealthKit

Have a use case that is not listed?

Tell us who is using the data, how fresh it must be and where it needs to go. We will outline an integration approach and the approvals involved.