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Daytime, evening, and overnight: the 24-h radiology cycle and impact on interpretative accuracy.
Zhou, Shannon; Hanna, Tarek; Ma, Tianwen; Johnson, Timothy D; Lamoureux, Christine; Weber, Scott; Johnson, Jamlik-Omari; Steenburg, Scott D; Dunkle, Jeffrey W; Chong, Suzanne T.
Affiliation
  • Zhou S; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
  • Hanna T; Emergency and Trauma Imaging, Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, USA.
  • Ma T; Department of Biostatistics and Bioinformatics, Emory University, Atlanta, GA, USA.
  • Johnson TD; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
  • Lamoureux C; Virtual Radiologic, Eden Prairie, MN, USA.
  • Weber S; Virtual Radiologic, Eden Prairie, MN, USA.
  • Johnson JO; Keck School of Medicine, Department of Radiology, University of Southern California, Los Angeles, CA, USA.
  • Steenburg SD; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
  • Dunkle JW; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA.
  • Chong ST; Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, USA. suzchong@iu.edu.
Emerg Radiol ; 30(5): 607-612, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37518838
ABSTRACT

PURPOSE:

To assess the influence of time of day when a study is interpreted on discrepancy rates for common and advanced studies performed in the acute community setting.

METHODS:

This retrospective study used the databank of a U.S. teleradiology company to retrieve studies between 2012 and 2016 with a preliminary report followed by a final report by the on-site client hospital. Neuroradiology, abdominal radiology, and musculoskeletal radiology studies were included. Teleradiologists were fellowship trained in one of these subspecialty areas. Daytime, evening, and overnight times were defined. Associations between major and minor discrepancies, time of day, and whether the study was common or advanced were tested with significance set at p = .05.

RESULTS:

A total of 5,883,980 studies were analyzed. There were 8444 major discrepancies (0.14%) and 17,208 minor discrepancies (0.29%). For common studies, daytime (0.13%) and evening (0.13%) had lower major discrepancy rates compared to overnight (0.14%) (daytime to overnight, RR = 0.57, 95%CI 0.45, 0.72, p < 0.01 and evening to overnight, RR = 0.57, 95%CI 0.49,0.67, p < 0.01). Minor discrepancy rates for common studies were decreased for evening (0.29%) compared to overnight (0.30%) (RR = 0.89, 95%CI 0.80,0.99, p = 0.029). For advanced studies, daytime (.15%) had lower major discrepancy rates compared to evening (0.20%) and overnight (.23%) (daytime to evening, RR = 0.77, 95%CI 0.61, 0.97, p = 0.028 and daytime to overnight, RR = 0.66, 95%CI 0.50, 0.87, p ≤ 0.01).

CONCLUSION:

Significantly higher major discrepancy rates for studies interpreted overnight suggest the need for radiologists to exercise greater caution when interpreting studies overnight and may require practice management strategies to help optimize overnight work conditions. The lower major discrepancy rates on advanced studies interpreted during the daytime suggest the need for reserving advanced studies for interpretation during the day when possible.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Internship and Residency Type of study: Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Emerg Radiol Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiology / Internship and Residency Type of study: Observational_studies / Risk_factors_studies Limits: Humans Language: En Journal: Emerg Radiol Year: 2023 Type: Article Affiliation country: United States