Worked example: HAPI

import { createReceipt } from "@0xsarwagya/clinical-receipt";
import { instrumentFHIRFetch, verifyFHIR } from "@0xsarwagya/clinical-receipt/fhir";
 
const BASE = "https://hapi.fhir.org/baseR4";
const run = await createReceipt({
  workflow: { id: "discharge-review", version: "2.4.1" },
});
 
const fhirFetch = instrumentFHIRFetch(globalThis.fetch, {
  run,
  baseUrl: BASE,
  server: { id: "hapi-r4-public", baseUrl: BASE },
});
 
// Read the patient at whichever version the server currently holds.
const patient = await fhirFetch(`${BASE}/Patient/123`).then((r) => r.json());
 
// Search observations. The observed Bundle is committed to the receipt.
const bundle = await fhirFetch(
  `${BASE}/Observation?patient=123&category=laboratory`,
).then((r) => r.json());
 
// Your AI step. The workflow scope is up to you; this example passes
// the observed context directly.
const answer = await model.generate({ patient, observations: bundle });
 
// Human review and guardrails are recorded through the base recorder
// API (run.humanReview, run.guardrail, run.output.committed…).
 
// Write the result. Both the submitted body and the persisted response
// are committed — the server may assign an id/versionId.
await fhirFetch(`${BASE}/ClinicalImpression`, {
  method: "POST",
  headers: { "content-type": "application/fhir+json" },
  body: JSON.stringify({
    resourceType: "ClinicalImpression",
    status: "completed",
    subject: { reference: "Patient/123" },
    summary: answer.text,
  }),
});
 
const receipt = await run.finalize();
 
// Offline verification with the patient bytes we already fetched.
const report = await verifyFHIR(receipt, {
  resources: { "Patient/123": patient },
});
console.log(report.fhir.commitments); // "valid" | "not-applicable"