Chatehr clinician assistant
Skill BioTender-max/awesome-bio-agent-skills/skills/openclaw/chatehr-clinician-assistant
A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.
npx -y skills add BioTender-max/awesome-bio-agent-skills --skill chatehr-clinician-assistantAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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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
- Chart Summarization: Condense complex history into readable notes.
- QA: Answer specific questions about the patient's data.
- FHIR Integration: Works with standard FHIR resources.
Workflow
- Connect: Authenticate with the EHR system (sandbox or secure instance).
- Select Patient: Load patient context.
- 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"