Strava Integration

The integrations on this page are the ones live or actively in development. We add new ones regularly based on what our clinic partners are using, so if your system isn't here, tell us — there's a strong chance it's already on the roadmap or can be added quickly.

A three-step process: we develop and validate the connection in a sandbox environment, enable secure API access for the data we need, then replicate the same setup in production. No additional development required.

Wearable integrations are included on every plan. Members connect their device once through the patient app, and the data flows into the clinical view automatically — no per-device fees, no add-on modules.

The data flows into the patient's longitudinal record in Florence — steps, sleep, heart rate, and other lifestyle signals show up alongside lab results, visit history, and clinical notes. Florence uses the data to sharpen its recommendations and surface meaningful change between visits, giving clinicians real evidence to discuss at the next consult.

Florence parses uploaded lab PDFs and other clinical files automatically — over 100 lab report formats supported out of the box. For clinics using an EMR, bi-directional integration with major systems means data flows both ways without manual lift.

Data is encrypted in transit and at rest, built on a privacy-first architecture. The core system works with de-identified data, and identifying details are stored separately with limited internal access.

A brief technical kickoff to align on which systems and devices your clinic uses, sandbox access to the integrations you want enabled, and a technical point of contact on your side for questions during setup.