Syntera Health offers a cloud‑native platform that continuously ingests Apple Health biometric data, medication adherence logs, and mental‑health self‑reports, applying AI models to produce calibrated stress and physiological‑distress scores. The system provides real‑time alerts, a clinician dashboard with FHIR‑compatible EHR integration, and a patient‑engagement app for automated reminders and guided interventions.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often lack a unified, real‑time view of patients’ biometric, behavioral, and self‑reported data, leading to delayed detection of physiological stress and missed opportunities for early intervention. Existing wearables generate fragmented data streams that are difficult to integrate into clinical workflows or payer analytics.
Solution
Syntera Health delivers a cloud‑native platform that continuously ingests data from Apple Health (heart rate, respiratory rate, blood‑oxygen saturation, sleep stages) together with medication adherence logs and mental‑health check‑ins. Proprietary AI models transform these inputs into calibrated stress and physiological‑distress scores, flagging risk trends and acute distress events. The system surfaces actionable insights through a clinician dashboard and generates documentation‑ready summaries that can be embedded directly into EHRs, insurer portals, or research databases. An integrated patient‑engagement layer provides automated reminders, guided self‑care interventions, and escalation pathways to care teams. In parallel, Syntera is building a medical‑device pipeline to capture higher‑resolution physiological signals for live monitoring and future regulatory pathways.
Target Audience
Primary customers are outpatient providers and clinical care teams, home‑health and post‑acute care organizations, health insurers, and research programs that require continuous physiological monitoring and risk analytics.
Features
- Secure, HIPAA‑compliant ingestion of Apple Health metrics (HR, RR, SpO₂, sleep) plus medication and mental‑health self‑reports via a native iOS app
- AI‑driven risk engine that computes continuous stress and distress scores and predicts deterioration trajectories
- Real‑time alert engine with configurable escalation rules for clinicians, home‑health agencies, and insurers
- Web‑based clinician portal offering trend visualizations, cohort analytics, and auto‑generated SOAP‑style documentation
- FHIR‑compatible API for seamless integration with EHRs, payer systems, and research data warehouses
- Patient mobile interface delivering personalized reminders, education modules, and guided intervention workflows
- Modular framework for adding proprietary medical‑device data streams, supporting live streaming and edge‑compute analytics
- Role‑based access controls and end‑to‑end encryption to protect PHI across all data flows