Literature DB >> 30277849

Overnight Resident versus 24-hour Attending Radiologist Coverage in Academic Medical Centers.

Michael A Bruno1, James R Duncan1, Andrew J Bierhals1, Rafel Tappouni1.   

Abstract

Academic medical centers have long relied on radiology residents to provide after-hours coverage, which means that they essentially function with autonomy. In this approach, attending radiologist review of resident interpretations occurs the following morning, often by subspecialist faculty. In recent years, however, this traditional coverage model in academic radiology departments has been challenged by an alternative model, the 24-hour attending radiologist coverage. Proponents of this new model seek to improve patient care after hours by increasing report accuracy and the speed with which the report is finalized. In this article, we review the traditional and the 24-hour attending radiologist coverage models. We summarize previous studies that indicate that resident overnight error rates are sufficiently low so that changing to an overnight attending model may not necessarily provide a meaningful increase in report accuracy. Whereas some centers completely replaced overnight residents, we note that most centers use a hybrid model, and overnight residents work alongside supervising attending radiologists, much as they do during the day. Even in this hybrid model, universal double reading and subspecialist final review, typical features of the traditional autonomous resident coverage model, are generally sacrificed. Because of this, changing from resident coverage to coverage by an attending radiologist that is 24 hours/day, 7 days/week may actually have detrimental effects to patient safety and quality of care provided. Changing to an overnight attending radiologist model may also have negative effects on the quality of radiology resident training, and it significantly increases cost. © RSNA, 2018 See also the editorial by Meltzer in this issue.

Entities:  

Mesh:

Year:  2018        PMID: 30277849     DOI: 10.1148/radiol.2018180690

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


  9 in total

1.  Assessing the Training Costs and Work of Diagnostic Radiology Residents Using Key Performance Indicators - An Observational Study.

Authors:  Marta E Heilbrun; Brad Poss; Luca Boi; Yoshimi Anzai; Nan Hu; Robert S Kaplan
Journal:  Acad Radiol       Date:  2019-08-31       Impact factor: 3.173

2.  Overnight attending radiologist coverage decreases imaging-related emergency department recalls by at least 90.

Authors:  Rawan Abu Mughli; Eric Durrant; Deyvison Talmo Baia Medeiros; Dominick Shelton; Jason Robins; Sadia R Qamar; Michael E O'Keeffe; Ferco H Berger
Journal:  Emerg Radiol       Date:  2021-01-11

3.  Resident-attending discrepancy rates for two consecutive versus nonconsecutive weeks of overnight shifts.

Authors:  Ryan K Rigsby; Eric M Peters
Journal:  Emerg Radiol       Date:  2022-05-26

4.  Patient recalls associated with resident-to-attending radiology report discrepancies: predictive factors for risky discrepancies.

Authors:  A Yeon Son; Gil-Sun Hong; Choong Wook Lee; Ju Hee Lee; Won Jung Chung; Jung Bok Lee
Journal:  Insights Imaging       Date:  2022-06-04

Review 5.  Update on establishing and managing an overnight emergency radiology division.

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

6.  Interpretation discrepancies of abdominal imaging by on-call radiology residents: Evaluation of risk factors.

Authors:  Su Jeong Yang; Hee Joong Lim; So Hyun Park; Seung Joon Choi; Young Sup Shim
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

7.  [Analysis of the Rate of Discrepancy between Preliminary Reports by Radiology Residents and Final Reports by Certified Radiologists for Emergency Radiology Studies in a University Hospital].

Authors:  Younbeom Jeong; Cheong-Il Shin; Hwan Jun Jae; Jung Hoon Kim; Jin Wook Chung
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-06-16

8.  Functional, anatomical and diffusion tensor MRI study of radiology expertise.

Authors:  David J Ouellette; Eric Van Staalduinen; Syed H Hussaini; Sindhuja T Govindarajan; Patricia Stefancin; Dan-Ling Hsu; Timothy Q Duong
Journal:  PLoS One       Date:  2020-04-27       Impact factor: 3.240

9.  Discrepancy rates of preliminary and final reports for after-hours pediatric teleradiology interpretations.

Authors:  Cory M Pfeifer; Mary L Dinh
Journal:  Acta Radiol Open       Date:  2021-02-11
  9 in total

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