---
format: "aidr-story-markdown/v1"
id: "3ecfcf230bdc284b32cbe5672b2d59ae37f7d76bc5a329e52602380b9b185d98"
canonical_url: "https://aidr.today/3ecfcf23?lang=en"
title: "Actionable Feedback: Improving Model Capabilities from User Edit Data on Clinical Documentation"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
fallback_fields: []
published_at: "2026-11-11T05:00:00.000Z"
category: "Research"
topics: ["llm"]
source_urls: ["https://arxiv.org/abs/2611.12904"]
summary: "Researchers developed a method to improve clinical documentation models using semi-synthetic clinician edit data, addressing the issue that over 45% of real edits include unsupported information."
---

# Actionable Feedback: Improving Model Capabilities from User Edit Data on Clinical Documentation

> [Open the canonical story](<https://aidr.today/3ecfcf23?lang=en>)

**Published:** 2026-11-11T05:00:00.000Z
**Category:** Research
**Topics:** llm

## Summary

Researchers developed a method to improve clinical documentation models using semi\-synthetic clinician edit data, addressing the issue that over 45% of real edits include unsupported information\.

## Sources

- [Story source](<https://arxiv.org/abs/2611.12904>)