If you're building a digital health product, you've probably hit the same wall everyone hits: the gap between a wearable's raw signal and a clinical-grade artifact in the EHR that is actionable by a clinician.
There's a lot of plumbing in that gap: device integration, real-time ingest, signal processing, derived metrics, provenance, governance, FHIR projection, US Core conformance, and most of it is undifferentiated infrastructure that takes a year or more to build properly.
AnyBio handles the upstream half of that pipeline. Medplum handles the downstream half.
Together they give you a standards-based path from a BLE sensor on a patient's wrist to a US-Core-conformant Observation in a queryable FHIR record - and on the AnyBio side, wiring up that path is a configuration step, not an engineering project.
This post walks through what each side does and how the data is shaped, then gives you two ways in: a two-minute path that exports a synthetic demo run to your own Medplum instance with zero setup, and the full production wire-up. And - because "it works in the demo" is not the same as "I'd run this in production" - how the pipeline behaves when things go wrong.
