OpenClinic Support Center

Support commitments, troubleshooting guides, FAQs, and developer contacts for OpenClinic. Built to assist App Store reviewers and developers.

Clinical Safety Notice

OpenClinic is a developer prototype and playground, not for diagnostic use.

Dictation Guidance

Ensuring microphone and speech permissions are enabled in iOS.

SMART Integrations

Discovering sandbox EHR URLs and authorizing imports.

Frequently Asked Questions

What is OpenClinic?

OpenClinic is a provider-facing, local-first clinical workspace prototype built with SwiftUI and SwiftData. It integrates patient charting, encounter documentation, clinical photography, anatomical lesion tracking, SMART on FHIR imports, and local clinical RAG search.

Can I use OpenClinic for patient care or diagnostic decisions?

No. OpenClinic is currently an architectural playground and software design concept. It is not production-hardened, is not a substitute for clinical judgment, and is not certified for patient care. It is intended for developer exploration and testing.

How do I test the app without an EHR connection?

On first launch, OpenClinic automatically seeds a local demo database containing mock patients, medical histories, and sample appointments. You can explore the charts, capture photos, and run local clinical searches immediately.

How do I import live patient data using SMART on FHIR?

  1. Navigate to Settings → Live SMART / EHR Import.
  2. Verify or enter a SMART-compatible FHIR base URL (the default Sandbox URL is preloaded).
  3. Tap sign-in. An ASWebAuthenticationSession popup will open for sandbox authentication.
  4. Select a test patient and authorize access.
  5. Return to the app and review the imported records, which are styled with EHR provenance badges.

My dictation isn't working. What should I do?

OpenClinic uses iOS Speech recognition for encounter notes. Ensure that you have granted OpenClinic access to both the **Microphone** and **Speech Recognition** in iOS Settings → Privacy.

What are the 7 safety verification gates?

Every response synthesized by on-device clinical RAG is audited against seven checks: retrieval confidence, evidence coverage, numeric sanity, contradiction check, semantic grounding, quote faithfulness, and generation quality. These roll up into a confidence tier displayed in the UI.

App Reviewer Instructions

Contact Info