Article

Linguistic Effects of Ambient AI on Clinical Documentation: A Matched Pre-Post Study

2026-02-17

Abstract excerpt

Ambient intelligence–based systems are increasingly used for clinical documentation. To quantify linguistic differences associated with ambient documentation, we conducted a matched pre–post analysis of 6,026 outpatient clinical notes from Mass General Brigham following implementation of two ambient AI documentation systems (Nuance Dragon Ambient eXperience [DAX] and Abridge). Within-clinician comparisons focused...

Topics

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

Identifiers and source

Literature Corpus work: 81cc3d6b-f4f1-5fc7-a148-20a434f12a73
DOI: 10.64898/2026.02.16.26346370

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Linguistic Effects of Ambient AI on Clinical Documentation: A Matched Pre-Post StudyDOI 10.64898/2026.02.16.26346370Read

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

What Do Clinicians Edit in Ambient AI-Drafted Clinical Documentation? A Qualitative Content AnalysisSemantic proximity Read

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

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

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

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

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

Ambient AI Documentation in Mixed-Language Encounters: A Heuristic Evaluation of Reenacted Mandarin–English and Spanish–English Clinical ConversationsSemantic proximity Read

Understanding Clinician Edits to Ambient AI Draft Notes: A Feasibility Analysis Using Large Language ModelsSemantic proximity Read

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

Towards Inpatient Discharge Summary Automation via Large Language Models: A Multidimensional Evaluation with a HIPAA-Compliant Instance of GPT-4o and Clinical Expert AssessmentSemantic proximity Read