Clinical monitoring.
Transparent. Self-hosted.
Transparent algorithms your clinical team can verify. Patient data never leaves the premises. Every recommendation traceable to the data behind it.
Black-box scores don't pass
clinical review.
Clinical teams need to trust the algorithms behind every recommendation. "The score is 72" means nothing without knowing how it was computed, what data fed it, and how it handles edge cases.
SaaS APIs give you proprietary scores you can't audit. If a clinician asks "why did the system recommend this?", you need a traceable answer. Not "the vendor's model said so."
Patient biometric data adds a second constraint: it must stay on infrastructure you control. HIPAA is not optional. Data residency is not negotiable.
Clinical features built
on transparent algorithms.
From remote patient monitoring to clinical trial biometrics — the same platform powers every clinical use case.
Remote Patient Monitoring
Continuous biometric tracking through patients' own wearables. Flag deviations from baselines automatically — heart rate, HRV, sleep, and activity.
Post-surgical Recovery Tracking
Detect early warning signs: declining sleep quality, elevated resting heart rate, reduced HRV. Surface trends before they become complications.
Chronic Condition Management
Track biomarkers for ongoing conditions — ADHD regulation, cardiac rehab, metabolic health. Longitudinal scoring with transparent algorithms.
Clinical Trial Biometrics
Standardized scoring across devices. Open algorithms your research team can audit, publish, and reproduce. No proprietary black boxes.
Care Team Dashboards
Patient panels with aggregate health scores. Every score traceable to raw data. Clinicians see the reasoning, not just the number.
From wearable to
clinical insight.
Four steps that turn raw wearable data into traceable clinical intelligence.
Connect
Patients authorize their wearable via OAuth. Open Wearables runs self-hosted on your clinical infrastructure — patient data never leaves the premises.
Score
Open algorithms compute health scores — sleep quality, recovery readiness, strain load, stress index. Every algorithm is auditable. Every threshold configurable.
Monitor
The Health AI Engine tracks scores over time. Detects anomalies against individual baselines. Every insight is traceable to the data behind it.
Act
Clinical teams receive structured alerts and trend reports. Decisions backed by transparent reasoning — not black-box recommendations.
Built for clinical teams
that need transparency.
No black-box scores. No third-party data processing. Build clinical features on a foundation your team can verify.
Transparent Algorithms
Every score is open source. Validate against published research. Tune thresholds for your patient population. No proprietary black boxes.
Self-Hosted & HIPAA-Ready
Patient data stays on your infrastructure. No third-party data processing. Full data lineage and audit trail.
Traceable Recommendations
Every AI recommendation connects to specific scores, which connect to specific data points. Clinicians can follow the chain from insight to raw signal.
Open Source
MIT licensed. Fork algorithms. Publish your methodology. Contribute improvements back. Build on a foundation the research community can verify.
Stop building the data layer.
Start building clinical tools.
First API call in 5 minutes. Clinical features in days.
