# Chatehr Clinician Assistant

> <!--

- Skill: `biotender-max/chatehr-clinician-assistant` (Agent Skill)
- Install (CLI): `npx skillmds@latest add biotender-max/chatehr-clinician-assistant`
- Raw SKILL.md: https://api.skillmd.com/api/skills/biotender-max/chatehr-clinician-assistant/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: BioTender-max (https://skillmd.com/u/biotender-max)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/biotender-max/chatehr-clinician-assistant

---

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---
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"
```


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