Evidence map›Paper›PMID 39276188›Full record

ReviewAbdominal radiology (New York)2025

Optimizing radiology remote reading: leveraging technology to improve efficiency.

Sayf Al-Katib, Andrew Dearden, Noor Al-Bassam, Jacob Ghannam, Ali Beydoun, Nathan Kolderman, Reyna Nandalur, Kiran Nandalur

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 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. Review
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

8 authors.

Sayf Al-KatibDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA. sayf.alkatib@gmail.com.
Andrew DeardenDepartment of Radiology, University of Washington, Seattle, WA, USA.
Noor Al-BassamDepartment of Pharmacy, Corewell Health East, Royal Oak, MI, USA.
Jacob GhannamDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.
Ali BeydounDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.
Nathan KoldermanDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.
Reyna NandalurDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.
Kiran NandalurDepartment of Diagnostic Radiology and Molecular Imaging, Corewell Health East, Royal Oak, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote work has been increasingly utilized in the profession of radiology over recent years. Setting up your individual workstation offers an opportunity to tailor it to suit your preferences without the restriction of a universal setup to accommodate multiple users. Important considerations when setting up a home workstation include selecting the optimal work location, choosing the proper desk and chair, and configuring an ideal computer monitor layout. The use of peripheral devices, such as programmable mice and hands-free dictation tools can improve efficiency and reduce repetitive strain injuries. This article also explores the use of smart home devices and programmable scripts using AutoHotKey to further streamline workflow and maximize the benefits of a remote workstation.

Indexed as

Efficiency, OrganizationalRadiology Information SystemsTeleradiologyHumansWorkflowRadiology ergonomicsRadiology remote readingWorkstation

Identifiers

PMID39276188

What OpenQuestion holds

Textmetadata
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.