» Articles » PMID: 32507612

Trainee and Attending Perspectives on Remote Radiology Readouts in the Era of the COVID-19 Pandemic

Overview
Journal Acad Radiol
Specialty Radiology
Date 2020 Jun 9
PMID 32507612
Citations 16
Authors
Affiliations
Soon will be listed here.
Abstract

Rationale And Objectives: Social distancing mandates due to COVID-19 have necessitated adaptations to radiology trainee workflow and educational practices, including the radiology "readout." We describe how a large academic radiology department achieved socially distant "remote readouts," provide trainee and attending perspectives on this early experience, and propose ways by which "remote readouts" can be used effectively by training programs beyond COVID-19.

Materials And Methods: Beginning March 2020, radiologists were relocated to workspaces outside of conventional reading rooms. Information technologies were employed to allow for "remote readouts" between trainees and attendings. An optional anonymous open-ended survey regarding remote readouts was administered to radiology trainees and attendings as a quality improvement initiative. From the responses, response themes were abstracted using thematic analysis. Descriptive statistics of the qualitative data were calculated.

Results: Radiologist workstations from 14 traditional reading rooms were relocated to 36 workspaces across the hospital system. Two models of remote readouts, synchronous and asynchronous, were developed, facilitated by commercially available information technologies. Thirty-nine of 105 (37%) trainees and 42 of 90 (47%) attendings responded to the survey. Main response themes included: social distancing, technology, autonomy/competency, efficiency, education/feedback and atmosphere/professional relationship. One hundred and forty-eight positive versus 97 negative comments were reported. Social distancing, technology, and autonomy/competency were most positively rated. Trainees and attending perspectives differed regarding the efficiency of remote readouts.

Conclusion: "Remote readouts," compliant with social distancing measures, are feasible in academic radiology practice settings. Perspectives from our initial experience provide insight into how this can be accomplished, opportunities for improvement and future application, beyond the COVID-19 pandemic.

Citing Articles

Academic Pursuits in Teleradiology: At the Crossroads of Technology, Radiology, and Implementation.

Agrawal A, Kalyanpur A, Sodickson A Indian J Radiol Imaging. 2025; 35(Suppl 1):S171-S177.

PMID: 39802729 PMC: 11717461. DOI: 10.1055/s-0044-1792041.


The importance of educational tools and a new software solution for visualizing and quantifying report correction in radiology training.

Salhofer L, Haubold J, Gutt M, Hosch R, Umutlu L, Meetschen M Sci Rep. 2024; 14(1):1172.

PMID: 38216664 PMC: 10786897. DOI: 10.1038/s41598-024-51462-4.


Evidence for an adverse impact of remote readouts on radiology resident productivity: Implications for training and clinical practice.

Gordon E, Wingrove P, Branstetter Iv B, Hughes M PLOS Digit Health. 2023; 2(9):e0000332.

PMID: 37738228 PMC: 10516412. DOI: 10.1371/journal.pdig.0000332.


A Global Review of the Impacts of the Coronavirus (COVID-19) Pandemic on Radiology Practice, Finances, and Operations.

Patel K, Rashid A, Spear L, Gholamrezanezhad A Life (Basel). 2023; 13(4).

PMID: 37109491 PMC: 10146527. DOI: 10.3390/life13040962.


In-person radiologist to review the trauma panscan: a high-fidelity simulation training program for radiology trainees at an academic level 1 trauma center.

Yang A, Patel N, Khan M, Cherry-Bukowiec J, Brown L, Machado-Aranda D Emerg Radiol. 2022; 30(2):143-151.

PMID: 36542168 PMC: 9769494. DOI: 10.1007/s10140-022-02109-2.


References
1.
Fessell D, Cherniss C . Coronavirus Disease 2019 (COVID-19) and Beyond: Micropractices for Burnout Prevention and Emotional Wellness. J Am Coll Radiol. 2020; 17(6):746-748. PMC: 7146659. DOI: 10.1016/j.jacr.2020.03.013. View

2.
Durojaiye A, Snyder E, Cohen M, Nagy P, Hong K, Johnson P . Radiology Resident Assessment and Feedback Dashboard. Radiographics. 2018; 38(5):1443-1453. DOI: 10.1148/rg.2018170117. View

3.
Kalaria A, Filice R . Comparison-Bot: an Automated Preliminary-Final Report Comparison System. J Digit Imaging. 2015; 29(3):325-30. PMC: 4879030. DOI: 10.1007/s10278-015-9840-2. View

4.
Chong A, Kagetsu N, Yen A, Cooke E . Radiology Residency Preparedness and Response to the COVID-19 Pandemic. Acad Radiol. 2020; 27(6):856-861. PMC: 7151439. DOI: 10.1016/j.acra.2020.04.001. View

5.
Mossa-Basha M, Meltzer C, Kim D, Tuite M, Kolli K, Tan B . Radiology Department Preparedness for COVID-19: Scientific Expert Review Panel. Radiology. 2020; 296(2):E106-E112. PMC: 7233387. DOI: 10.1148/radiol.2020200988. View