Multi-vendor device ingestion
Single pipeline across HealthKit, Health Connect, Fitbit, Garmin, Withings, Oura, Dexcom, and proprietary BLE devices.
What We Do: Healthcare Expertise
Wearable & Health Device Integration
Patients arrive with watches, rings, scales, glucose monitors, and continuous vitals - your platform should make that data clinically useful. We build secure, scalable pipelines that ingest, normalize, and surface wearable and connected device data inside healthcare products.
Wearable & Device Integration Matrix
Where each device class fits and how we typically integrate it into healthcare platforms.
| Device class | Integration approach | Best fit use cases |
|---|---|---|
| Consumer wearables (Apple Watch, Fitbit, Garmin, Oura) | HealthKit and Google Health Connect for on-device aggregation, with vendor cloud APIs for historical backfill. | Activity, sleep, heart rate, HRV, and engagement programs. |
| Continuous glucose monitors (Dexcom, Abbott Libre) | Vendor cloud APIs and partner SDKs with near-real-time ingestion and trend computation. | Diabetes management, time-in-range coaching, and clinician dashboards. |
| Connected vitals (BP cuffs, scales, pulse ox, thermometers) | BLE pairing flows, vendor cloud APIs, and HL7 PCD-01 for hospital-grade devices. | Remote patient monitoring, hypertension, heart failure, and post-acute care. |
| FDA-regulated medical devices | 510(k)-aligned interface design, FHIR Observation mapping, and clinical-grade audit trails. | RPM reimbursement workflows, cardiac monitoring, and chronic care management. |
| Mental health and sleep wearables | Vendor cloud APIs with HRV, respiration, and sleep stage normalization into a canonical model. | Anxiety, depression, sleep disorder, and behavioral health programs. |
What We Build
Capabilities we deliver inside wearable-driven healthcare platforms.
Canonical observation model
FHIR R4 Observation mapping with vendor-specific normalization so downstream features remain stable as devices change.
Real-time and batch pipelines
Streaming ingestion for alerting workflows and durable batch backfill for analytics, cohorting, and reporting.
Clinician-ready visualizations
Time-in-range charts, trend overlays, threshold alerting, and care-team dashboards built for clinical decision making.
Device Data Reliability Patterns
Engineering patterns we apply to keep wearable data trustworthy at clinical scale.
- Duplicate detection across overlapping device and platform sources
- Time zone and clock-drift correction at ingestion
- Data provenance metadata captured for every observation
- Backfill, replay, and reconciliation jobs for historical accuracy
Privacy and Consent for Wearable Data
How we handle consent and PHI boundaries for continuously streamed device data.
- Granular consent capture per device type, data category, and care program
- Revocation flows that propagate across ingestion, storage, and downstream consumers
- PHI segmentation between consumer wellness and clinically reportable data
- Audit trails covering device pairing, data access, and consent state changes
Common Wearable Integration Failure Modes
Issues we repeatedly fix in wearable-connected healthcare products.
Per-device adapter sprawl
Impact: Every new device takes longer to integrate than the last and feature velocity collapses.
Mitigation: Canonical observation model with vendor-specific adapters and reusable normalization utilities.
Raw data exposed to clinicians
Impact: Care teams cannot act on noisy device streams and the platform appears clinically untrustworthy.
Mitigation: Curation, smoothing, threshold logic, and trend views designed around clinical decision points.
Consent and PHI boundaries not modeled
Impact: Wellness data and PHI blur together, creating HIPAA and GDPR exposure.
Mitigation: Explicit consent capture per device and category with downstream propagation and revocation handling.
Frequently Asked Questions
Apple HealthKit and Health Connect for on-device aggregation, plus vendor cloud APIs for Fitbit, Garmin, Oura, Withings, Dexcom, Abbott Libre, Omron, and clinical-grade BLE devices. We also build custom BLE pipelines where needed.
Want wearable data your clinicians can actually trust?
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