| name | ehr-fhir-integration |
| description | Provides comprehensive tools for working with Electronic Health Records (EHR) using the HL7 FHIR standard. |
| measurable_outcome | Execute skill workflow successfully with valid output within 15 minutes. |
| allowed-tools | ["read_file","run_shell_command"] |
EHR/FHIR Integration
The EHR/FHIR Integration Skill enables AI agents to interact with FHIR servers to search, read, and analyze clinical data.
When to Use This Skill
- When you need to retrieve patient demographics, conditions, medications, or lab results from an EHR.
- When performing population health analysis on a cohort of patients.
- When validating clinical data against the FHIR R4 standard.
Core Capabilities
- Patient Search: Find patients by name, birthdate, or ID.
- Clinical Data Retrieval: Fetch Conditions, Observations, MedicationRequests, and Procedures.
- Data Export: Export clinical data to JSON or Pandas-ready formats.
Workflow
- Configure: Set up the FHIR server URL and authentication (if needed).
- Execute: Run the
fhir_client.py script with the desired resource and parameters.
Example Usage
User: "Find patient John Smith born after 1980."
Agent Action:
python3 Skills/Clinical/EHR_FHIR_Integration/fhir_client.py \
--server https://hapi.fhir.org/baseR4 \
--resource Patient \
--search "name=Smith&birthdate=gt1980-01-01" \
--output patients.json
