One queue before many tools
Patient requests should land in a single operational queue before they scatter into calendars, records, reminders, and staff inboxes.
Connecting to clinical workspace...
Reference architecture
This is the architecture we are designing around: patient requests come in from every channel, policy checks run before automation acts, and staff stay in the approval loop for exceptions.
Design principles
The important question is not which cloud logo sits behind the product. It is whether the system can explain what happened when a patient request turns into an appointment, task, reply, or escalation.
Patient requests should land in a single operational queue before they scatter into calendars, records, reminders, and staff inboxes.
The architecture keeps approval points visible. Automation prepares the work; clinic staff can intervene before a patient-facing action goes out.
Every automation decision should leave context behind: source message, detected intent, policy used, reviewer, timestamp, and final action.
EHR and phone systems vary widely. The platform should expose clean integration points without claiming universal plug-and-play coverage.
Data boundaries
We are not presenting this as a deployed compliance certification. This page describes the operating model and data boundaries the product is being shaped around.
Captured with source, timestamp, channel, and patient context when available.
Stored as reviewable metadata, not treated as a final clinical decision.
Human edits, approvals, assignments, and overrides are preserved.
Calendar/EHR/API updates are tracked as outbound events with status and retry history.
Integration model
Calendar updates, patient record sync, phone events, and intake packets should move through explicit events with status, retries, and review history. That keeps integrations observable instead of magical.
Normalize messages and call summaries without hiding the original channel or source context.
Run routing, hours, provider, and escalation rules before a reply or task is proposed.
Capture approvals, edits, overrides, and assignments as first-class events.
Push approved updates to connected systems with observable success, failure, and retry states.
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