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Nothing reaches a patient without you. The AI prepares a draft, flags anything that needs a second look, and waits for you to read, edit, and approve it.
Whatever the AI produces, these never change. No setup, no fine print.
Every output is a draft. You read it, edit it, and decide — the system never finalizes a note, message, or order by itself.
Possible risks and escalation cues are surfaced for you to judge. It suggests; you decide. No automatic triage or disposition.
Notes and summaries are generated against a fixed format and checked for completeness before they ever reach your screen.
A plain look at where each capability stands. Anything tied to your hospital's systems needs setup and review first. Tap a row for the detail.
Current demos label configured structured-draft and review-support paths without promising a fixed production model.
Configured routing between structured-output and review-support workflow paths in the demo.
Pilot scoping can start with browser review, copy/paste handoff, or integration discovery.
Pilot scoping can identify Epic FHIR R4 resources, SMART launch context, read scopes, and browser-only fallback paths.
Sandbox-only FHIR discovery can support integration planning; production EHR, Epic FHIR R4, or SMART on FHIR access is not live by default.
Current demos can prepare review-ready drafts and handoff artifacts.
Browser-based voice capture is available in current demo paths for supervised workflows.
Demo paths can generate structured SOAP drafts and related packets for clinician review.
Dr. Vita Scribe and voice intake flows produce draft artifacts for clinician review.
Pilot intake can scope applicable PHIPA and provincial privacy role mapping for health information custodian, agent, electronic service provider, or HINP roles only where customer counsel determines those roles apply, plus Canadian hosting/data residency, retention, access, audit logging, subprocessor, consent/disclosure, privacy impact, and security assessment inputs.
Demo concepts can show patient-language summaries and follow-up prompts after clinician review.
The architecture describes edit deltas, acceptance rates, latency, and safety-trigger logging.
Optional, deeper detail: how the system is built, the request-to-draft flow, routing and artifacts, the internal service harness, and our engineering checks. None of this is clinical validation.
We'll show you exactly how drafts are prepared, flagged, and handed to you for review — on your terms.