Trust designed in, and honestly scoped.
ClearCard’s architecture is built around the finding that clinician trust makes or breaks optimization. Here is exactly what that means today, and what it does not yet claim.
What holds true by construction
No PHI
The demo runs entirely on synthetic data calibrated to published waste rates. No patient identifiers.
No EHR integration
No HL7, no FHIR, no interface engine. Three CSV exports in, a cleaned card out.
No LLM anywhere
Recommendations are rendered from deterministic templates: zero hallucination by construction.
Human-in-the-loop
Every change requires a surgeon’s line-by-line sign-off. Nothing is ever applied automatically.
Data minimization
Surgeons see only their own data; ownership is enforced server-side at the query layer, not just in the UI.
Single-tenant demo
No cross-customer benchmarking; one facility’s data stays isolated to that facility.
What we do not claim
This is a demo build. HIPAA-grade production hardening is a documented future path, not a current guarantee. The demo uses synthetic data precisely so no protected health information is ever involved.
Savings are anchored to published figures (the per-case numbers from peer-reviewed studies), not inflated industry statistics, several of which have failed independent verification.
Next milestone: validating that ASCs can export item-level opened-versus-used data from their existing systems.
See the trust model in action.
Every recommendation in the demo is explained, cited, and awaits sign-off.
Open the demo →