Article

What Do Clinicians Edit in Ambient AI-Drafted Clinical Documentation? A Qualitative Content Analysis

2026-01-06

Abstract excerpt

<h4>Objective</h4> Ambient artificial intelligence (AI) documentation is increasingly used to draft clinical notes from patient-provider conversations, but how clinicians revise and finalize these drafts is not well understood. This qualitative content analysis study characterizes real-world edits to AI-generated drafts and identifies opportunities for improvement of AI design and the implementation process. <h4>...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 259f2ce5-7cc7-52fa-bc84-a4f1b6fc053d
DOI: 10.64898/2026.01.05.26343473

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

What Do Clinicians Edit in Ambient AI-Drafted Clinical Documentation? A Qualitative Content AnalysisDOI 10.64898/2026.01.05.26343473Read

From Conversation to Chart: An Analysis of Clinician Edits to Ambient AI Draft NotesSemantic proximity Read

Clinicians’ Rationale for Editing Ambient AI–Drafted Clinical Notes: Persistent Challenges and Implications for ImprovementSemantic proximity Read

Linguistic Effects of Ambient AI on Clinical Documentation: A Matched Pre-Post StudySemantic proximity Read

A Novel Playbook for Pragmatic Trial Operations to Monitor and Evaluate Ambient Artificial Intelligence in Clinical PracticeSemantic proximity Read

Structured Clinical Documentation as Upstream Data Engineering: A Systematic Review of Ambient-AI and LLM-Driven Inputs for Predictive Modeling in HealthcareSemantic proximity Read

Impact of an AI medical scribe after 375 000 notes generated across care levels in a European health systemSemantic proximity Read

Utilization of Generative AI-drafted Responses for Managing Patient-Provider CommunicationSemantic proximity Read

Performance of an Ambient Generative AI Documentation Tool in a Linguistically Diverse Clinical SettingSemantic proximity Read

Introducing and Evaluating the Patient Report Template for AI-Powered Nursing HandoffsSemantic proximity Read

An LLM-Based Comparison of Ambient AI Scribes for Clinical DocumentationSemantic proximity Read

Quality, consistency, and clinical safety of AI-generated versus clinician-written clinical notes: a multi-country paired simulation studySemantic proximity Read

From Output Errors to Workflow Harm: A Practitioner-Audit Method for LLM-Mediated ResearchSemantic proximity Read