Electronic progress note reading patterns: An eye tracking analysis

Gretchen M. Hultman, Jenna L. Marquard, Swaminathan Kandaswamy, Elizabeth A. Lindemann, Serguei Pakhomov, Genevieve B. Melton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


This study used eye-tracking to understand how the order of note sections influences the way physicians read electronic progress notes. Participants (n=7) wore an eye-tracking device while reviewing progress notes for four patient cases and then provided a verbal summary. We reviewed and analyzed verbal summaries and eye tracking recordings. Wide variation in reading behaviors existed. There was no relationship between time spent reading a section and section origin of verbal summaries.

Original languageEnglish (US)
Title of host publicationMEDINFO 2019
Subtitle of host publicationHealth and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
EditorsBrigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
PublisherIOS Press
Number of pages2
ISBN (Electronic)9781643680026
StatePublished - Aug 21 2019
Event17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France
Duration: Aug 25 2019Aug 30 2019

Publication series

NameStudies in health technology and informatics
ISSN (Print)0926-9630


Conference17th World Congress on Medical and Health Informatics, MEDINFO 2019

Bibliographical note

Funding Information:
We would like to acknowledge Osadebamwen Ighile, MBBS, MS and Oladimeji Farri MBBS, PhD for contributions to this study. This work was supported by the Agency For Healthcare research and Quality Award #R01HS022085 (GM) and National Science Foundation Award #CMMI-1150057 (JM).

Publisher Copyright:
© 2019 International Medical Informatics Association (IMIA) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).

Copyright 2019 Elsevier B.V., All rights reserved.


  • Electronic health records
  • Health communication
  • Eye
  • Reading
  • Humans
  • Comprehension
  • Electronic Health Records

PubMed: MeSH publication types

  • Review
  • Journal Article


Dive into the research topics of 'Electronic progress note reading patterns: An eye tracking analysis'. Together they form a unique fingerprint.

Cite this