Increasing intraoperative case recording through a resident video review challenge
AMERICAN JOURNAL OF SURGERY(2023)
摘要
Surgical training in the United States is shifting towards a competency-based model. 1 Skjold-Ødegaard B. Søreide K. Competency-based surgical training and entrusted professional activities – perfect match or a procrustean bed?. Ann Surg. May 2021; 273: e173-e175https://doi.org/10.1097/SLA.0000000000004521 Crossref Scopus (12) Google Scholar ,2 Greenberg J. Minter R. Entrustable professional activities: the future of competency-based education in surgery may already Be here. Ann Surg. March 2019; 269: 407-408https://doi.org/10.1097/SLA.0000000000003153 Crossref PubMed Scopus (13) Google Scholar Methods for objective evaluation of operative competency in surgical training are lacking, often resulting in more time consuming and subjective assessment. 3 Vaidya A. Aydin A. Ridgley J. Raison N. Dasgupta P. Ahmed K. Current status of technical skills assessment tools in surgery: a systematic review. J Surg Res. 2020; 246: 342-378https://doi.org/10.1016/j.jss.2019.09.006 Abstract Full Text Full Text PDF PubMed Scopus (29) Google Scholar Recording cases and reviewing intraoperative video with faculty has been proposed as an educational tool. 4 McQueen S. McKinnon V. VanderBeek L. McCarthy C. Sonnadara R. Video-based assessment in surgical education: a scoping review. J Surg Educ. 2019; 76: 1645-1654https://doi.org/10.1016/j.jsurg.2019.05.013 Crossref PubMed Scopus (24) Google Scholar Our program previously initiated such a program to help evaluate and coach general surgery residents towards competency. However, widespread implementation of this initiative was met with poor uptake. Noted barriers for resident participation included logistics such as secure storage space in addition to the time burden and effort of video editing. Therefore, to increase and incentivize resident participation in intraoperative video recording, we designed a resident video review challenge. Herein, we describe the design and early outcomes of this competition.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn