HealthSync

# JavaScript Example async function createObservation(patientId, code, value) { const observation = { resourceType: "Observation", status: "final", code: { coding: [ { system: "http://loinc.org", code: code, display: "Blood Pressure" } ] }, subject: { reference: `Patient/${patientId}` }, valueQuantity: { value: value, unit: "mm[Hg]", system: "http://unitsofmeasure.org", code: "mm[Hg]" }, effectiveDateTime: new Date().toISOString() }; const response = await fetch("https://api.healthsync.dev/fhir/Observation", { method: "POST", headers: { "Authorization": "Bearer YOUR_TOKEN", "Content-Type": "application/fhir+json" }, body: JSON.stringify(observation) }); return response.json(); } // Usage createObservation("123456", "8480-6", 120) .then(result => console.log("Created observation:", result.id));

# Python Example import requests from datetime import datetime, timedelta # Get appointments for next 7 days start_date = datetime.now().strftime("%Y-%m-%d") end_date = (datetime.now() + timedelta(days=7)).strftime("%Y-%m-%d") headers = { "Authorization": "Bearer YOUR_TOKEN", "Accept": "application/fhir+json" } response = requests.get( f"https://api.healthsync.dev/fhir/Appointment?date=ge{start_date}&date=le{end_date}", headers=headers ) appointments = response.json() print(f"Found {len(appointments['entry'])} appointments") # Process appointments for entry in appointments.get("entry", []): appointment = entry["resource"] print(f"Appointment: {appointment['id']}") print(f" Status: {appointment['status']}") print(f" Start: {appointment['start']}")

// JavaScript SMART on FHIR Client for EHR Launch import FHIR from 'fhirclient'; // In your app's launch page FHIR.oauth2.authorize({ clientId: 'YOUR_CLIENT_ID', scope: 'launch patient/*.read openid fhirUser', redirectUri: 'https://your-app.example.com/callback', // No ISS parameter needed for EHR launch - it's passed in the launch URL }); // In your callback page FHIR.oauth2.ready() .then(client => { // You now have an authenticated client console.log('Authorized client context:', client.state); // Get the currently selected patient return client.patient.read(); }) .then(patient => { console.log('Current patient context:', patient); // You can now make API calls with the client's context // Example: get observations for this patient return client.request(`Observation?patient=${patient.id}`); }) .then(observations => { console.log('Patient observations:', observations); });

import requests import json # Your clinical note clinical_note = """ Patient presents with recurring headaches for the past 3 weeks. Reports pain intensity of 7/10, predominantly in the frontal and temporal regions. Headaches are associated with photophobia and occasionally nausea. Patient has tried OTC pain medications with minimal relief. No previous history of migraines. Family history positive for migraines (mother). Vital signs stable. Neurological exam normal. Assessment: Probable migraine, new onset. Plan: Trial of sumatriptan 50mg. Neurology referral if symptoms persist. """ # Call the HealthSync summarization API headers = { "Authorization": "Bearer YOUR_API_KEY", "Content-Type": "application/json" } response = requests.post( "https://api.healthsync.dev/llm/summarize", headers=headers, json={ "note": clinical_note, "target_length": "brief", "audience": "patient" } ) result = response.json() print("Patient-friendly summary:", result["summary"])

// Node.js Example const axios = require('axios'); async function medicalQuery(patientContext, userQuery) { try { const response = await axios.post( 'https://api.healthsync.dev/llm/medical-rag', { patient_context: patientContext, query: userQuery, knowledge_bases: ['snomed', 'rxnorm', 'loinc'], citation_level: 'detailed' }, { headers: { 'Authorization': 'Bearer YOUR_API_KEY', 'Content-Type': 'application/json' } } ); return response.data; } catch (error) { console.error('Error querying medical RAG system:', error); throw error; } } // Usage const patientContext = { conditions: ['diabetes-type2', 'hypertension'], medications: ['metformin', 'lisinopril'], allergies: ['penicillin'] }; medicalQuery(patientContext, "What are the potential medication interactions I should be aware of?") .then(result => { console.log("RAG Response:", result.response); console.log("Citations:", result.citations); });