Scaffolding SMART on FHIR

SkillDev tools

Generates starter code for a healthcare app that launches inside EHR systems like Epic using SMART on FHIR.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Scaffolding SMART on FHIR skill

About this capability

Scaffold a SMART-on-FHIR app (SMART App Launch v2 — EHR launch and standalone launch, OAuth2 PKCE, scopes, token handling, fhirContext) so an OpenMed-powered tool can run inside Epic or Cerner/Oracle Health. Covers the .well-known/smart-configuration discovery, authorize/token sequence, scopes like

What this skill tells your AI

The instructions your AI receives, as published by maziyarpanahi/openmed in skills/scaffolding-smart-on-fhir/SKILL.md and read by ahel’s review.

To put an OpenMed-powered tool inside a clinician's EHR (Epic, Cerner/Oracle Health), you build a SMART on FHIR app: a web app the EHR launches with an OAuth2 flow, granting scoped, time-limited access to the patient's FHIR data. The app fetches the clinical notes, then runs OpenMed on-device (de-id + NER) — so PHI is processed locally and only de-identified output, if anything, leaves the browser/host.

When to use

Reach for this when the deliverable is a clinician-facing app embedded in an EHR, or a standalone app authorizing against an EHR's FHIR endpoint. Triggers: "SMART on FHIR", "EHR launch", "OAuth2 scopes", "Epic/Cerner app", "embed OpenMed in the chart". For pulling notes at cohort scale (no UI), use exporting-bulk-fhir instead.

Two launch flows

  • EHR launch — clinician clicks your app in the chart. The EHR opens your launch_uri?iss=<fhir-base>&launch=<opaque>; you complete OAuth2 and inherit the current patient/encounter context.
  • Standalone launch — user opens your app directly; it discovers the FHIR server and runs OAuth2, and the user/EHR picks the patient.

Both use SMART App Launch v2: OAuth2 authorization code flow with PKCE (required in v2), discovered via .well-known/smart-configuration.

Quick start: the launch sequence

1. EHR launch URL:
   GET https://app.example/launch?iss=https://ehr.example/fhir&launch=abc123

2. Discover endpoints:
   GET https://ehr.example/fhir/.well-known/smart-configuration
   -> { "authorization_endpoint": ".../authorize",
        "token_endpoint": ".../token",
        "code_challenge_methods_supported": ["S256"],
        "capabilities": ["launch-ehr","client-public","context-ehr-patient", ...] }

3. Redirect the browser to authorize (PKCE + the launch token):
   GET .../authorize?
       response_type=code&
       client_id=YOUR_CLIENT_ID&
       redirect_uri=https://app.example/callback&
       scope=launch openid fhirUser patient/DocumentReference.rs patient/Patient.r&
       state=RANDOM&
       aud=https://ehr.example/fhir&
       launch=abc123&
       code_challenge=BASE64URL(SHA256(verifier))&
       code_challenge_method=S256

4. Callback -> exchange code for token:
   POST .../token
       grant_type=authorization_code&code=...&redirect_uri=...&
       client_id=...&code_verifier=ORIGINAL_VERIFIER
   -> { "access_token": "...", "token_type": "Bearer", "expires_in": 3600,
        "scope": "patient/DocumentReference.rs ...",
        "patient": "Patient-123", "encounter": "Encounter-9",
        "id_token": "..." }

5. Call FHIR with the token:
   GET https://ehr.example/fhir/DocumentReference?patient=Patient-123&type=clinical-note
       Authorization: Bearer <access_token>

The token response carries the launch context (patient, sometimes encounter, and in v2 a fhirContext array). Use patient to scope every subsequent query.

Scopes you actually need

SMART v2 scopes are <level>/<Resource>.<permissions> where permissions are a subset of c r u d s (create/read/update/delete/search) — .rs = read + search. Request the minimum:

ScopeWhy
launchEHR launch context (omit for standalone; use launch/patient)
openid fhirUserIdentify the launching user
patient/Patient.rThe in-context patient demographics
patient/DocumentReference.rsRead + search the patient's clinical notes
patient/Condition.rs(optional) reconcile against existing problems
offline_access(optional) refresh token for background work

Prefer patient/… (current-patient) over user/… (everything the user can see) to keep the blast radius small. Granular v2 scopes (.rs) are stricter than the v1 .read/.write forms — use them.

Where OpenMed runs

Notes arrive as DocumentReferencecontent.attachment (often base64 or a url to a Binary). Decode, then process locally:

import base64, openmed

note_b64 = document_reference["content"][0]["attachment"]["data"]
note = base64.b64decode(note_b64).decode("utf-8")

# De-identify on-device before anything else touches it
deid = openmed.deidentify(note, method="replace", policy="hipaa_safe_harbor")

# Clinical NER on the (de-identified or raw, per your IRB) text
entities = openmed.analyze_text(deid.text, model_name="disease_detection_superclinical")
# -> render highlights in the SMART app UI, or export FHIR (exporting-to-fhir)

OpenMed models run on-device after a one-time download — no note text is sent to a third party by OpenMed. Keep the access token and any PHI in memory only; do not log them.

Hand-off to / from OpenMed

  • From the EHR to OpenMed: fetched DocumentReference notes → openmed.deidentifyopenmed.analyze_text.
  • From OpenMed back to the EHR: built FHIR resources (exporting-to-fhir) → to_bundle (assembling-fhir-bundles) → write back with a write scope (e.g. patient/Condition.c) if your use case persists findings. Validate first (validating-us-core).
  • MCP option: if the app calls a local OpenMed MCP server, the tools are openmed_analyze_text and openmed_deidentify — same on-device guarantees.

Edge cases & gotchas

  • PKCE is mandatory in v2 and for public (browser) clients always. Generate a fresh code_verifier per launch; never reuse.
  • Validate state and aud. Reject the callback if state does not match; set aud to the FHIR base or the EHR will reject the authorize request.
  • Tokens are short-lived. Handle expires_in; use offline_access + refresh tokens only if you genuinely need background access, and store them securely (never client-side for confidential clients).
  • Scope down-grade is normal. The EHR may grant fewer scopes than requested; read the returned scope and degrade gracefully.
  • Don't persist PHI in the browser. Process in memory; if you must cache, cache the de-identified output only.
  • App registration is per-EHR. Epic (fhir.epic.com) and Cerner each have their own developer portals, client registration, and sandbox FHIR endpoints; test against the sandbox before go-live.
  • OpenMed stays local. The OAuth2 token authorizes FHIR calls to the EHR; it has nothing to do with OpenMed, which needs no network at inference time.

Standards & references

Signals

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Sep 2026
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skill
Gateway key
scaffolding-smart-on-fhir
Source
github.com/maziyarpanahi/openmed