ArticleEmergency radiology2017
Utility of contemporaneous dual read in the setting of emergency teleradiology reporting.
Article in Emergency radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed.
- Academic Pursuits in Teleradiology: At the Crossroads of Technology, Radiology, and Implementation.The Indian journal of radiology & imaging · 2025Article
- Assessing the impact of trained Radiologist Assistants in a busy emergency teleradiology practice: a comprehensive evaluation.Emergency radiology · 2024Article
- Utility of dual read in the setting of prostate MRI interpretation.Abdominal radiology (New York) · 2023Article
- Digital transformation of career landscapes in radiology: personal and professional implications.Frontiers in radiology · 2023Article
- Emergency Teleradiology-Past, Present, and, Is There a Future?Frontiers in radiology · 2022Article
- Improvement in radiological reading efficiency and residents' education and clinical contribution using the modified reading system "Triage Reader".Japanese journal of radiology · 2018Article
- Telemedicine-based system for quality management and peer review in radiology.Insights into imaging · 2018Article
- Added value of double reading in diagnostic radiology,a systematic review.Insights into imaging · 2018Review
- A study of the usefulness of inspection of radiology reports in the emergency room.Acute medicine & surgeryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeEmergency radiology requires rapid and accurate interpretation of imaging examinations. Missed findings may lead to adverse outcomes. Double reporting may be used to minimize errors. Limited contemporaneous double reporting may be most efficient and cost-effective, but no data exists. This study is intended to examine the benefits of double reading and identify examinations where this would be most useful.
methodsIn this study, dual reporting was conducted in a parallel reading environment in a teleradiology practice for 3779 radiological procedures performed at two radiology centers in the USA over a period of 4 months. Discrepancies between reads were scored using the ACR peer review scoring system and grouped by modality and body part. Errors were tabulated across the study types, followed by identification of statistically significant differences. The interaction between image number and odds of an error was ascertained.
resultsIn 145 instances (3.8%; 95 % CI, 3.2-4.4%), double reporting identified errors, leading to report modification. Study type was significantly related to error frequency (p = 0.0001), with higher than average frequencies of error seen for CT abdomen and pelvis and MRI head or spine, but lower than average for CT head, CT spine, and ultrasound. Image number was positively associated with error odds, but was not independently significant in a joint logistic regression model that included study type.
conclusionDual reporting identifies missed findings in about 1 of 25 emergency studies. This benefit varies substantially across study types and limited double reporting, merits further investigation as a cost-effective practice improvement strategy.
Indexed as
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Registered trials
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.