Skill v1.0.0

version: "1.0.0" name: fhir description: "FHIR (Fast Healthcare Interoperability Resources) standard. Tools for reading, writing, and querying healthcare data via FHIR APIs: patients, observations, conditions, medications, procedures. Interop with EHR systems." tags: [fhir, healthcare, ehr, interoperability, hl7, api, zorai]

Overview

FHIR (Fast Healthcare Interoperability Resources) tools for reading, writing, and querying healthcare data via FHIR REST APIs. Work with Patient, Observation, Condition, MedicationRequest, and Encounter resources from EHR systems.

Installation

uv pip install fhir.resources requests

Query Patients

import requests
from fhir.resources.patient import Patient
base_url = "https://hapi.fhir.org/baseR4"
resp = requests.get(f"{base_url}/Patient", params={"family": "Smith", "birthdate": "gt1970"})
data = resp.json()
for entry in data.get("entry", []):
    patient = Patient.parse_obj(entry["resource"])
    name = patient.name[0]
    print(f"{name.family}, {name.given[0]}")

Create a Resource

patient = Patient(
    name=[{"family": "Doe", "given": ["John"], "use": "official"}],
    birthDate="1980-05-15",
    gender="male",
)
resp = requests.post(
    f"{base_url}/Patient",
    json=patient.dict(),
    headers={"Content-Type": "application/fhir+json"},
)
print(f"Created: {resp.json()['id']}")

Workflow

1. Identify FHIR server endpoint (HAPI, Epic, Cerner)
2. Query resources with search parameters
3. Parse responses into typed resource objects
4. Create/update with POST/PUT
5. Use $everything for comprehensive patient data