<!-- 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:
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "chatehr-clinician-assistant" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/chatehr-clinician-assistant/SKILL.md<!--
# 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: chatehr-clinician-assistant
description: EHR Chat Assistant
keywords:
- EHR
- clinical
- summarization
- patient-records
- FHIR
measurable_outcome: Answer 5 clinical queries and generate a discharge summary from a patient record with <10s latency.
license: Apache-2.0
metadata:
author: Stanford Medicine
version: "1.0.0"
compatibility:
- system: Python 3.10+
allowed-tools:
- run_shell_command
- read_file
---
# ChatEHR
AI software for clinicians to interact with patient medical records via natural language queries and automatic chart summarization.
## When to Use
* **Rapid Review**: "Summarize the patient's cardiology history."
* **Data Extraction**: "What was the last creatinine level?"
* **Documentation**: Generating draft notes or discharge summaries.
## Core Capabilities
1. **Chart Summarization**: Condense complex history into readable notes.
2. **QA**: Answer specific questions about the patient's data.
3. **FHIR Integration**: Works with standard FHIR resources.
## Workflow
1. **Connect**: Authenticate with the EHR system (sandbox or secure instance).
2. **Select Patient**: Load patient context.
3. **Query**: Submit natural language questions.
## Example Usage
**User**: "Summarize the last 3 oncology visits."
**Agent Action**:
```bash
python -m chatehr.query --patient_id 12345 --prompt "Summarize last 3 oncology visits"
```
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->Give the agent its own dedicated email inbox via AgentMail. Send, receive, and manage email autonomously using agent-owned email addresses (e.g. hermes-agent@agentmail.to).
AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.
Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).