summarizing-clinical-notes

Generate citation-anchored summaries from de-identified clinical notes.

5.0k|615|Updated Oct 4, 2025

Search Tags:#de-identification #medical notes #discharge summary #citation grounding #clinical summarization #sbar handoff #clinical nlp

Ready to run

npx skills add https://github.com/maziyarpanahi/openmed --skill summarizing-clinical-notes

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: summarizing-clinical-notes
Source: https://github.com/maziyarpanahi/openmed/tree/main/skills/summarizing-clinical-notes
Command: npx skills add https://github.com/maziyarpanahi/openmed --skill summarizing-clinical-notes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns lengthy clinical notes into concise, structured summaries while grounding every claim in cited source spans, reducing hallucinations and making clinician verification fast.

Core Features & Use Cases

Citation-Anchored Summaries: Create one-liners, hospital courses, problem-oriented summaries, discharge drafts, SOAP notes, SBAR handoffs, and chart-abstraction views with evidence pointers.
Safety-Aware Clinical Context: De-identify notes first, resolve negation, temporality, and family history, and flag unsupported or conflicting statements.
Use Case: Convert a de-identified hospitalization note into a clinician-reviewable handoff or discharge summary where each problem, intervention, medication, and outcome links back to the supporting text span.

Quick Start

Use the summarizing-clinical-notes skill to de-identify the attached clinical note, extract grounding spans, and produce a citation-anchored SBAR handoff draft for clinician review.

Frequently Asked Questions about summarizing-clinical-notes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate clinical summaries from medical notes without hallucinations?▼

Citation-anchored clinical summarization prevents hallucinations by extracting grounding spans from de-identified medical notes and enforcing citation coverage. Unsupported statements are flagged, ensuring every problem, medication, and outcome links back to source text for clinician verification.

What is the best way to create an SBAR handoff from a discharge summary?▼

Producing an SBAR handoff from a discharge summary requires de-identifying the note, resolving clinical context like negation and temporality, and generating citation-anchored evidence pointers. Each problem and intervention links directly to supporting text spans for clinician review.

Can I use automated clinical NLP to abstract problem-oriented chart views from SOAP notes?▼

Automated clinical NLP abstracts problem-oriented chart views from SOAP notes by extracting entities and resolving clinical context. De-identification is applied first, then citation-grounded summaries with evidence pointers are generated for clinician verification.

Does de-identification of medical notes happen before or after citation extraction?▼

De-identification of medical notes occurs before citation extraction. OpenMed de-identification removes PHI first, followed by entity extraction, clinical context resolution, citation coverage enforcement, and a final PHI leakage check on the generated summary.

Why does clinical summarization require citation grounding and enforcement?▼

Citation grounding and enforcement are required in clinical summarization to prevent unsupported claims and hallucinations. Citation coverage enforcement ensures each summarized problem, intervention, and outcome links back to the original source text span for clinician verification.

What are the limitations of using automated clinical NLP for discharge summaries?▼

Limitations of automated clinical NLP for discharge summaries include the strict requirement for prior de-identification and mandatory clinician verification. The system flags unsupported or conflicting statements but does not replace final medical review of the citation-anchored draft.