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This paper is in the following e-collection/theme issue:

Ambient AI Scribes and AI-Driven Documentation Technologies (102) Electronic Health Records (1685) Generative Language Models Including ChatGPT (1455) Patient-Clinician Relationship (50)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/85580, first published .
Healthcare professional discusses patient care with a woman in a clinic office.

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study

Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study

Authors of this article:

Jonathan Yue En Tan1 Author Orcid Image ;   Iffat Bin Mohammad Rafi1 Author Orcid Image ;   Gerald Gui Ren Sng2, 3 Author Orcid Image ;   Joshua Yi Min Tung2, 4 Author Orcid Image ;   Daniel Yan Zheng Lim2, 5 Author Orcid Image ;   Jasmine Chiat Ling Ong6, 7 Author Orcid Image ;   Gek Hsiang Lim8 Author Orcid Image ;   Eileen Yi Lee Lew9 Author Orcid Image ;   Kuok Wei Chia1 Author Orcid Image ;   Mark Kok Hong Heng9 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Nakano M, Imura T. Implementation of an AI-Assisted Workflow for Rehabilitation Discharge Summary Creation: Evaluation of Documentation Efficiency, Usability, and Hallucinations in a 290-Bed General Hospital in Japan. Cureus 2026 View
  2. Wright J. Electronic health record and artificial intelligence: frontiers and challenges. The Journal of the American Dental Association 2026;157(7):675 View
  3. Teo K, Huang L, Woh K, Ang S, Ng J. Nurse-Led Ambient AI Scribe for Patient Safety Incident Investigation Reports (Project NARRATE): Retrospective Pre-Post Comparative Document-Quality Study (Preprint). JMIR Nursing 2026 View