Evidence map›Paper›PMID 35440931›Full record

ArticlePerspectives in health information managemen2022

Evaluation of Physicians' Electronic Health Records Experience Using Actual and Perceived Measures.

Saif Khairat, Cameron Coleman, Paige Ottmar, Thomas Bice, Shannon S Carson

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  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
  4. Article
  5. Article
  6. 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

5 authors.

Saif Khairat
Cameron Coleman
Paige Ottmar
Thomas Bice
Shannon S Carson

Funding

An Interdisciplinary Program for Advanced Training in Health Data AnalyticsT15LM012500 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOSTAFA, JAVED · 2017 to 2021
$2.9M
Improving Providers’ Decision-Making and Reducing Information Overload Using Information Visualization in Electronic Health RecordsR01LM013606 · NLM · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KHAIRAT, SAIF · 2021 to 2024
$1.3M
NLM NIH HHS R01 LM013606NLM NIH HHS T15 LM012500
6 · The paper itself

Abstract

Background: Inadequate electronic health record (EHR) interface design hinders the physician-EHR experience, which may lead to increase physician frustration and fatigue levels. Objectives: The objective of this study was to examine the physician EHR experience by evaluating the congruency between actual and perceived measures among physicians with different EHR expertise and utilization levels. Methods: We conducted a cross-sectional EHR usability study of intensive care unit (ICU) physicians at a major Southeastern medical center. We used eye-tracking glasses to measure provider EHR-related fatigue and three surveys to measure the perceived EHR experience. Results: Of the 25 ICU physicians, 11 were residents, nine were fellows, and five were attending physicians. No significant differences were found between actual fatigue levels and their perceived EHR usability (p=0.159), workload (p=0.753), and satisfaction (p=0.773). Conclusion: We found that there was low congruency between physicians' EHR-related fatigue and the perceived ratings for usability, satisfaction, and workload, which suggests using actual and perceived measures for a comprehensive assessment of the user experience. EHR-related fatigue may not be instantly felt by some physicians, hence the similar rating of perceived EHR experience among physicians.

Indexed as

Electronic Health RecordsPhysiciansCross-Sectional StudiesFatigueHumansWorkloadEHRfatiguesatisfactionusabilityworkload

Identifiers

PMID35440931
PMCPMC9013225

What OpenQuestion holds

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Registered trials

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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.