---
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
1. **Patient Search**: Find patients by name, birthdate, or ID.
2. **Clinical Data Retrieval**: Fetch Conditions, Observations, MedicationRequests, and Procedures.
3. **Data Export**: Export clinical data to JSON or Pandas-ready formats.
## Workflow
1. **Configure**: Set up the FHIR server URL and authentication (if needed).
2. **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**:
```bash
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
```