Evidence map›Paper›PMID 40200472›Full record

ArticleStudies in health technology and informatics2025

ICU Provider Perspectives on EHR Usability.

Saif Khairat, Jennifer Morelli, Vitaly Herasevich, Inna Strechen, Brian Pickering

Abstract read
In one paragraph

Article in Studies in health technology and informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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 KhairatUniversity of North Carolina Chapel Hill, Chapel Hill, NC.
Jennifer MorelliUniversity of North Carolina Chapel Hill, Chapel Hill, NC.
Vitaly HerasevichMayo Clinic, Rochester, MN.
Inna StrechenMayo Clinic, Rochester, MN.
Brian PickeringMayo Clinic, Rochester, MN.

Funding

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 LM013606
6 · The paper itself

Abstract

Poorly designed Electronic Health Records (EHRs) can lead to increased workloads, decreased efficiency, and medical errors. This cross-sectional study surveyed ICU providers' perceptions of their EHR using the NASA-TLX and CSUQ surveys. We found that providers report increased temporal demand and effort when using the EHR, and that they are dissatisfied with the EHR's interface quality.

Indexed as

Attitude of Health PersonnelAttitude to ComputersElectronic Health RecordsIntensive Care UnitsUser-Computer InterfaceCross-Sectional StudiesHumansUnited StatesElectronic health recordsUser computer interface

Identifiers

PMID40200472
PMCPMC12756666

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.