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诊断放射学住院医师申请趋势:2010 - 2020年加拿大匹配结果

Diagnostic Radiology Residency Application Trends: Canadian Match Results From 2010-2020.

作者信息

Li David, Yi Paul H, Islam Nayaar, Verma Raman, McInnes Matthew D F

机构信息

12365Faculty of Medicine, University of Ottawa, Ontario, Canada.

The Russell H. Morgan Department of Radiology and Radiological Science, 1466Johns Hopkins University School of Medicine, Baltimore, MD, USA.

出版信息

Can Assoc Radiol J. 2021 Nov;72(4):645-650. doi: 10.1177/0846537120971745. Epub 2020 Nov 23.

Abstract

INTRODUCTION

Rapid advancements in artificial intelligence (AI) have generated uncertainty about the future of radiology among medical students. However, it is unclear whether this has affected radiology residency applications. The purpose of this study was to evaluate recent trends in the Canadian radiology residency match.

METHODS

Canadian Resident Matching Service annual data reports from 2010-2020 were collected. Statistics were extracted for Canadian medical graduates applying to radiology in the R-1 main residency match and analyzed using linear regression.

RESULTS

The number of available radiology residency positions decreased ( = .01); declining from 84 in 2010 to 81 in 2020 (mean = 83.1). The overall number of applicants did not change ( = .08, mean = 131.8). The proportion of applicants with radiology as their first choice decreased ( = .001); declining from 4.5% in 2010 to 3.1% in 2020 (mean = 3.4%). The number of applicants applying exclusively to radiology also decreased ( = .02); declining from 39 in 2010 to 16 in 2020 (mean = 23). Positions per applicant ( = 0.24, mean = 0.64), and positions per applicant with radiology as their first choice did not change ( = 0.07, mean = 0.91).

CONCLUSION

While the overall number of students applying to radiology did not change, the number of applicants ranking radiology as their first or only choice decreased sharply. This analysis corroborates recent reports of increased workload, burnout, and declining reimbursement as well as uncertainty about the future of radiology due to advances in AI.

摘要

引言

人工智能(AI)的快速发展让医学生对放射学的未来产生了不确定性。然而,目前尚不清楚这是否影响了放射学住院医师申请。本研究的目的是评估加拿大放射学住院医师匹配的近期趋势。

方法

收集了2010 - 2020年加拿大住院医师匹配服务的年度数据报告。提取了申请R - 1主要住院医师匹配中放射学专业的加拿大医学毕业生的统计数据,并使用线性回归进行分析。

结果

放射学住院医师职位数量减少(P = 0.01);从2010年的84个降至2020年的81个(平均 = 83.1)。申请总人数未变(P = 0.08,平均 = 131.8)。将放射学作为第一选择的申请人比例下降(P = 0.001);从2010年的4.5%降至2020年的3.1%(平均 = 3.4%)。仅申请放射学专业的申请人数量也减少(P = 0.02);从2010年的39人降至2020年的16人(平均 = 23)。每个申请人的职位数(P = 0.24,平均 = 0.64),以及将放射学作为第一选择的每个申请人的职位数未变(P = 0.07,平均 = 0.91)。

结论

虽然申请放射学专业的学生总数没有变化,但将放射学列为第一或唯一选择的申请人数量大幅下降。这一分析证实了近期有关工作量增加、职业倦怠、报销减少以及由于人工智能进步导致放射学未来不确定性的报道。

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