Three architectural principles.
Every design and engineering decision is judged against them.
Patient-centric, inclusive design.
Every surface meets the patient where they are. SHIRLe ingests health data from where patients already keep it — Apple Health, Dexcom, Fitbit, the back of a prescription bottle, a screenshot of a wearable’s weekly chart — without requiring API contracts or technical literacy.
The HealthDigits AVS scanner, deployable today, is the first surface where this principle becomes visible: photograph a printed After Visit Summary, and the pipeline recognizes what it is and files it correctly.
Secure, with the patient in control.
Consent is a first-class architectural object. Owned by the patient. Granular. Revocable. Portable across vendors. Durable as patient capacity changes. Modeled as a FHIR Consent resource that the patient can read, audit, and edit.
The patient is not a record in our system — the patient controls the system. As agentic AI moves from suggestion to action, the consent layer beneath it must be patient-controlled. The patient owns consent. Everything else follows.
Interoperable with the ecosystem.
SHIRLe is FHIR R4-native and built to work with the healthcare infrastructure that already exists. A multi-pass pipeline will convert patient-supplied data — photographs, screenshots, PDFs, device readings — into FHIR observations against the patient’s own longitudinal record.
SMART on FHIR provider integration is scaffolded from day one. Initial launch focuses on consumer-direct ingestion; provider-side authorization follows. The platform does not ask the world to change to accommodate it. It meets the world where it is.
One pattern for everything you already have.
Photograph it, screenshot it, upload it, or connect it. SHIRLe recognizes each input and files it against your record in FHIR-native format — no API contracts, no technical literacy required.
- After-visit summary
- Device / wearable
- App screenshot
- PDF / export
- HomeA plain-language briefing on what changed.
- RecordYour longitudinal history, by condition or chapter.
- HealthDigitsDevice and screenshot signals, folded in.
- AskQuestions answered from your own record, source-cited.
If you can take a screenshot,
you can contribute your data.
Data-fabric components launch with the CMS ACCESS Model rollout in July 2026 through sister platform IntelaCare. That is SHIRLe’s first federal production deployment.