Ehr fhir integration

Skill BioTender-max/awesome-bio-agent-skills/skills/openclaw/ehr-fhir-integration

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

Install

npx -y skills add BioTender-max/awesome-bio-agent-skills --skill ehr-fhir-integration

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SKILL.md

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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