Article

Accuracy and Safety of an AI Ambient Scribe Compared with Handwritten Clinical Notes

2026-04-15

Abstract excerpt

<title>Abstract</title> <p>In a prospective real-world evaluation at Groote Schuur Hospital, South Africa, a large-language-model ambient scribe was compared with contemporaneous handwritten clinical notes. The system generated notes from raw audio without diarisation, transcript editing, or clinician review. Across 49 encounters, documentation quality was independently assessed using a SOAP-aligned rubric (0–5 p...

Topics

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

Identifiers and source

Literature Corpus work: 59c7e09d-628f-527e-b2ab-f37e5dce10ed
DOI: 10.21203/rs.3.rs-9139641/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Accuracy and Safety of an AI Ambient Scribe Compared with Handwritten Clinical NotesDOI 10.21203/rs.3.rs-9139641/v1Read

Benchmarking And Datasets For Ambient Clinical Documentation: A Scoping Review Of Existing Frameworks And Metrics For AI-Assisted Medical Note GenerationSemantic proximity Read

AI-Generated Clinical Summaries: Errors and Susceptibility to Speech and Speaker VariabilitySemantic proximity Read

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

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

Clinical safety evaluation of ambient voice technologies in surgical documentationSemantic proximity Read

Protocol for a Scoping Review of Digital Scribes in Primary Care: Design, Implementation, Accuracy and ImpactSemantic proximity Read

The Impact of Acoustic and Informational Noise on AI-Generated Clinical SummariesSemantic proximity Read

A Framework to Assess Clinical Safety and Hallucination Rates of LLMs for Medical Text SummarisationSemantic proximity Read

Clinician Experiences with Ambient AI Scribe Technology in Singapore: A Qualitative StudySemantic proximity Read

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

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

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