chatehr-clinician-assistant

$npx mdskill add swaruplab/operon/chatehr-clinician-assistant

Enables clinicians to query and summarize patient records via natural language.

  • Clinicians need rapid answers from complex patient records without manual review.
  • Depends on FHIR integration and Python 3.10+ environment with shell command access.
  • Uses natural language prompts to select and process relevant patient data.
  • Returns concise summaries or specific answers directly to the user.

SKILL.md

.github/skills/chatehr-clinician-assistantView on GitHub ↗
---
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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