Literature DB >> 29156150

Effect of Shift, Schedule, and Volume on Interpretive Accuracy: A Retrospective Analysis of 2.9 Million Radiologic Examinations.

Tarek N Hanna1, Christine Lamoureux1, Elizabeth A Krupinski1, Scott Weber1, Jamlik-Omari Johnson1.   

Abstract

Purpose To determine whether there is an association between radiologist shift length, schedule, or examination volume and interpretive accuracy. Materials and Methods This study was institutional review board approved and HIPAA compliant. A retrospective analysis of all major discrepancies from a 2015 quality assurance database of a teleradiology practice was performed. Board-certified radiologists provided initial preliminary interpretations. Discrepancies were identified during a secondary review by a practicing radiologist or through an internal quality assurance process and were vetted through a consensus radiology quality assurance committee. Unique anonymous radiologist identifiers were used to link the discrepancies to radiologists' shifts and schedules. Data were analyzed by using analysis of variance, t test, or χ2 test. Results A total of 4294 major discrepancies resulted from 2 922 377 examinations (0.15%). There was a significant difference for shift length (P < .0001) and volume (P < .0001) for shifts with versus those without discrepancies. On average, errors occurred a mean (± standard deviation) of 8.97 hours ± 2.28 into the shift (median, 10 hours; interquartile range, 2.0 hours). Significantly more errors occurred late in shifts than early (P < .0001), peaking between 10 and 12 hours. The number of major discrepancies in a single shift ranged from one to four, with a significant difference in the number of discrepancies as a function of study volume (volume for all shifts, 67.60 ± 60.24; volume for shifts with major discrepancies, 118.96 ± 66.89; P < .001). Despite a trend for more discrepancies after more consecutive days worked, the difference was not significant (P = .0893). Conclusion Longer shifts and higher diagnostic examination volumes are associated with increased major interpretive discrepancies. These are more likely to occur later in a shift, peaking after the 10th hour of work. © RSNA, 2017.

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Year:  2017        PMID: 29156150     DOI: 10.1148/radiol.2017170555

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  9 in total

1.  Improvement in radiological reading efficiency and residents' education and clinical contribution using the modified reading system "Triage Reader".

Authors:  Akira Yamada; Yukinori Okajima; Eriko Yoshizawa; Fumiaki Fukamatsu; Takayuki Mitsui; Takeshi Suzuki; Fumihito Ichinohe; Kazuki Oyama; Keisuke Todoroki; Mana Maehara; Takanori Aonuma; Tomofumi Nonaka; Yasunari Fujinaga; Masumi Kadoya
Journal:  Jpn J Radiol       Date:  2018-09-01       Impact factor: 2.374

2.  Review of learning opportunity rates: correlation with radiologist assignment, patient type and exam priority.

Authors:  Marla B K Sammer; Marcus D Sammer; Lane F Donnelly
Journal:  Pediatr Radiol       Date:  2019-07-17

Review 3.  Artificial Intelligence: Innovation to Assist in the Identification of Sono-anatomy for Ultrasound-Guided Regional Anaesthesia.

Authors:  James Lloyd; Robert Morse; Alasdair Taylor; David Phillips; Helen Higham; David Burckett-St Laurent; James Bowness
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

4.  Diagnostic Errors in Cerebrovascular Pathology: Retrospective Analysis of a Neuroradiology Database at a Large Tertiary Academic Medical Center.

Authors:  G Biddle; R Assadsangabi; K Broadhead; L Hacein-Bey; V Ivanovic
Journal:  AJNR Am J Neuroradiol       Date:  2022-08-04       Impact factor: 4.966

Review 5.  Mandating Limits on Workload, Duty, and Speed in Radiology.

Authors:  Robert Alexander; Stephen Waite; Michael A Bruno; Elizabeth A Krupinski; Leonard Berlin; Stephen Macknik; Susana Martinez-Conde
Journal:  Radiology       Date:  2022-06-14       Impact factor: 29.146

6.  Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung Cancer.

Authors:  Raphael Sexauer; Thomas Weikert; Kevin Mader; Andreas Wicki; Sabine Schädelin; Bram Stieltjes; Jens Bremerich; Gregor Sommer; Alexander W Sauter
Journal:  Contrast Media Mol Imaging       Date:  2018-11-01       Impact factor: 3.161

Review 7.  Fatigue in radiology: a fertile area for future research.

Authors:  Sian Taylor-Phillips; Chris Stinton
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

8.  On-call transthoracic echocardiographic interpretation by first year cardiology fellows: comparison with attending cardiologists.

Authors:  Aferdita Spahillari; Ian McCormick; Jesse X Yang; Gene R Quinn; Warren J Manning
Journal:  BMC Med Educ       Date:  2019-06-14       Impact factor: 2.463

Review 9.  Update on establishing and managing an overnight emergency radiology division.

Authors:  Meir H Scheinfeld; R Joshua Dym
Journal:  Emerg Radiol       Date:  2021-04-21
  9 in total

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