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Discretionary Corrigendum (5)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/93250, first published .
Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Correction: Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Authors of this article:

Naga Sasidhar Kanaparthy1, 2, 3 Author Orcid Image ;   Yenny Villuendas-Rey4 Author Orcid Image ;   Tolulope Bakare5 Author Orcid Image ;   Zihan Diao3 Author Orcid Image ;   Mark Iscoe1, 3 Author Orcid Image ;   Andrew Loza1, 2 Author Orcid Image ;   Donald Wright1, 2, 3 Author Orcid Image ;   Conrad Safranek3 Author Orcid Image ;   Isaac V Faustino3 Author Orcid Image ;   Alexandria Brackett6 Author Orcid Image ;   Edward R Melnick1, 3 Author Orcid Image ;   R Andrew Taylor1, 3, 7 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    1Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT, United States

    2VA Connecticut Healthcare System, US Department of Veterans Affairs, West Haven, CT, United States

    3Department of Emergency Medicine, Yale School of Medicine, 464 Congress Avenue, #260, New Haven, CT, United States

    4Centro de Innovación y Desarrollo Tecnológico en Cómputo CIDETEC, Instituto Politécnico Nacional, Mexico City, Mexico

    5Department of Biostatistics (Health Informatics Division), Yale School of Public Health, New Haven, CT, United States

    6Harvey Cushing/John Hay Whitney Medical Library, Yale University, New Haven, CT, United States

    7Department of Emergency Medicine, University of Virginia, Charlottesville, VA, United States

    Corresponding Author:

    Naga Sasidhar Kanaparthy, MPH, MD



    In “Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review” [1], the authors noted one omission.

    In addition to the funding already acknowledged, the authors would like to add the following:

    MI’s work on this publication was made possible by CTSA Grant Number KL2 TR001862 from the National Center for Advancing Translational Science, a component of the National Institutes of Health.

    The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

    1. Kanaparthy NS, Villuendas-Rey Y, Bakare T, et al. Real-world evidence synthesis of digital scribes using ambient listening and generative artificial intelligence for clinician documentation workflows: rapid review. JMIR AI. Oct 10, 2025;4:e76743. [CrossRef] [Medline]

    This is a non–peer-reviewed article. submitted 10.Feb.2026; accepted 17.Feb.2026; published 13.Mar.2026.

    Copyright

    © Naga Sasidhar Kanaparthy, Yenny Villuendas-Rey, Tolulope Bakare, Zihan Diao, Andrew Loza, Donald Wright, Conrad Safranek, Isaac V Faustino, Alexandria Brackett, Edward R Melnick, R Andrew Taylor. Originally published in JMIR AI (https://ai.jmir.org), 13.Mar.2026.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR AI, is properly cited. The complete bibliographic information, a link to the original publication on https://www.ai.jmir.org/, as well as this copyright and license information must be included.