---name: ehr-fhir-integration description: Provides comprehensive tools for working with Electronic Health Records (EHR) using the HL7 FHIR standard. license: MIT metadata: author: MD BABU MIA version: "1.0.0" compatibility:
- system: Python 3.10+ allowed-tools:
- run_shell_command
- read_file
keywords:
- ehr-fhir-integration
- automation
- biomedical measurable_outcome: execute task with >95% success rate. ---"
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.pyscript 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