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Chatehr clinician assistant

Skill FridrichMethod/awesome-skills/skills/chatehr-clinician-assistant

EHR Chat AssistantFrom its SKILL.md

Install
npx -y skills add FridrichMethod/awesome-skills --skill chatehr-clinician-assistant

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 13 stars13 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.8 KB, 348 tokens by cl100k_base, as published. Nobody here has run it

<!-- # COPYRIGHT NOTICE # This file is part of the "Universal Biomedical Skills" project. # Copyright (c) 2026 MD BABU MIA, PhD <[email protected]> # 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 -->

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:

python -m chatehr.query --patient_id 12345 --prompt "Summarize last 3 oncology visits"
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.