OpenClaw-Medical-Skills ehr-fhir-integration

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install
source · Clone the upstream repo
git clone https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/ehr-fhir-integration" ~/.claude/skills/freedomintelligence-openclaw-medical-skills-ehr-fhir-integration && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/ehr-fhir-integration" ~/.openclaw/skills/freedomintelligence-openclaw-medical-skills-ehr-fhir-integration && rm -rf "$T"
manifest: skills/ehr-fhir-integration/SKILL.md
source content
<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu> # All Rights Reserved. # # This code is proprietary and confidential. # Unauthorized copying of this file, via any medium is strictly prohibited. # # Provenance: Authenticated by MD BABU MIA -->

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:

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
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->