Evidence map›Paper›PMID 24380671›Full record

ArticleInternational journal of medical informatics2014

Dynamic modeling of patient and physician eye gaze to understand the effects of electronic health records on doctor-patient communication and attention.

Enid Montague, Onur Asan

Abstract read
In one paragraph

Article in International journal of medical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
11.5field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Observer: creation of a novel multimodal dataset for outpatient care research.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  3. Observer: Creation of a Novel Multimodal Dataset for Outpatient Care Research.medRxiv : the preprint server for health sciences · 2025
    Article
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  8. Observational
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  15. Review
  16. Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Laboratory Simulation Study.IISE transactions on occupational ergonomics and human factors · 2018
    Article
  17. Article
  18. Electronic Health Records and the Disappearing Patient.Medical anthropology quarterly · 2017
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Enid MontagueDivision of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA. Electronic address: enid.montague@northwestern.edu.
Onur AsanIndustrial and System Engineering, University of Wisconsin-Madison, Madison, WI, USA.
Northwestern University · USUniversity of Wisconsin–Madison · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
INSTITUTIONAL CTSA (UW-MADISON): CLINICAL TRIALSUL1RR025011 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2007 to 2011
$29.5M
NCATS NIH HHS UL1 TR000427NCRR NIH HHS 1UL1RR025011NCRR NIH HHS UL1 RR025011
6 · The paper itself

Abstract

objectiveThe aim of this study was to examine eye gaze patterns between patients and physicians while electronic health records were used to support patient care.

backgroundEye gaze provides an indication of physician attention to patient, patient/physician interaction, and physician behaviors such as searching for information and documenting information.

methodsA field study was conducted where 100 patient visits were observed and video recorded in a primary care clinic. Videos were then coded for gaze behaviors where patients' and physicians' gaze at each other and artifacts such as electronic health records were coded using a pre-established objective coding scheme. Gaze data were then analyzed using lag sequential methods.

resultsResults showed that there are several eye gaze patterns significantly dependent to each other. All doctor-initiated gaze patterns were followed by patient gaze patterns. Some patient-initiated gaze patterns were also followed by doctor gaze patterns significantly unlike the findings in previous studies. Health information technology appears to contribute to some of the new significant patterns that have emerged. Differences were also found in gaze patterns related to technology that differ from patterns identified in studies with paper charts. Several sequences related to patient-doctor-technology were also significant. Electronic health records affect the patient-physician eye contact dynamic differently than paper charts.

conclusionThis study identified several patterns of patient-physician interaction with electronic health record systems. Consistent with previous studies, physician initiated gaze is an important driver of the interactions between patient and physician and patient and technology.

Indexed as

AttentionCommunicationEye MovementsPhysician-Patient RelationsPractice Patterns, Physicians'AdolescentAdultAgedFemaleHumansMaleMedical Records Systems, ComputerizedMiddle AgedQuality of Health CareVideotape RecordingYoung AdultCommunicationHealth information technologyPrimary care encounter

Identifiers

PMID24380671
PMCPMC4046907
OpenAlexW1989254750

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.