Improving radiology oncologic imaging trainee case diversity through automatic examination assignment: Retrospective study from a tertiary cancer center Journal Article

   

Authors:	Becker, A. S.; Das, J. P.; Woo, S.; Perez-Johnston, R.; Vargas, H. A.
Article Title:	Improving radiology oncologic imaging trainee case diversity through automatic examination assignment: Retrospective study from a tertiary cancer center
Abstract:	In a retrospective single-center study, the authors assessed the efficacy of an automated imaging examination assignment system for enhancing the diversity of subspecialty examinations reported by oncologic imaging fellows. The study aimed to mitigate traditional biases of manual case selection and ensure equitable exposure to various case types. Methods included evaluating the proportion of "uncommon" to "common" cases reported by fellows before and after system implementation and measuring the weekly Shannon Diversity Index to determine case distribution equity. The proportion of reported uncommon cases more than doubled from 8.6% to 17.7% in total, at the cost of a concurrent 9.0% decrease in common cases from 91.3% to 82.3%. The weekly Shannon Diversity Index per fellow increased significantly from 0.66 (95% CI: 0.65, 0.67) to 0.74 (95% CI: 0.72, 0.75; P < .001), confirming a more balanced case distribution among fellows after introduction of the automatic assignment. © RSNA, 2023 Keywords: Computer Applications, Education, Fellows, Informatics, MRI, Oncologic Imaging.
Keywords:	retrospective studies; nuclear magnetic resonance imaging; magnetic resonance imaging; neoplasm; neoplasms; diagnostic imaging; retrospective study; radiology; medical education; education; internship and residency; education, medical, graduate; mri; informatics; procedures; computer applications; oncologic imaging; fellows
Journal Title:	Radiology: Imaging Cancer
Volume:	5
Issue:	6
ISSN:	2638-616X
Publisher:	Radiological Society of North America, Inc.
Date Published:	2023-11-01
Start Page:	e230035
Language:	English
DOI:	10.1148/rycan.230035
PUBMED:	37889137
PROVIDER:	scopus
PMCID:	PMC10698617
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175274200&doi=10.1148%2frycan.230035&partnerID=40&md5=bbd0c7761b7833c90ae2b5098f2ad60d
Notes:	The MSK Cancer Center Support Grant (P30 CA008748) is acknowledged in the PDF.

https://synapse.mskcc.org/synapse/works/has_related_data_chk/211500