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

Clinical Informatics (904) Peer-to-Peer Support and Online Communities (594) Knowledge Translation and Implementation Science (372) Design of Processes and Workflows (86)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45645, first published .
Eliciting Insights From Chat Logs of the 25X5 Symposium to Reduce Documentation Burden: Novel Application of Topic Modeling

Eliciting Insights From Chat Logs of the 25X5 Symposium to Reduce Documentation Burden: Novel Application of Topic Modeling

Eliciting Insights From Chat Logs of the 25X5 Symposium to Reduce Documentation Burden: Novel Application of Topic Modeling

Authors of this article:

Amanda J Moy1 Author Orcid Image ;   Jennifer Withall2 Author Orcid Image ;   Mollie Hobensack2 Author Orcid Image ;   Rachel Yeji Lee2 Author Orcid Image ;   Deborah R Levy3, 4 Author Orcid Image ;   Sarah C Rossetti1, 2 Author Orcid Image ;   S Trent Rosenbloom5 Author Orcid Image ;   Kevin Johnson6, 7 Author Orcid Image ;   Kenrick Cato2, 8, 9 Author Orcid Image
Article Authors Cited by (1) Tweetations (10) Metrics

Journals

  1. Scharp D, Hobensack M, Davoudi A, Topaz M. Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review. Journal of the American Medical Directors Association 2024;25(1):69 View