眼科住院申请特征与随后在住院的表现的相关性
Brett M Gudgel1, Andrew T Melson1, Justin Dvorak1
1University of Oklahoma Health Science Center, Oklahoma City, Oklahoma.
Journal of academic ophthalmology (2017)
|June 30, 2023
概括
核心实习成绩和医学院排名预测眼科住院成功. 像眼科知识评估计划 (OKAP) 等客观指标的分数也与高绩效相关,而USMLE分数和出版物则没有.
科学领域:
- 医学教育 医学教育
- 眼科住院培训 眼科住院培训
- 外科教育的外科教育
背景情况:
- 识别成功的眼科实习生候选人是一项挑战,特别是USMLE第一步过渡到通过/失败.
- 传统的应用指标可能无法准确预测居民业绩.
- 人工智能 (AI) 具有分析定性应用组件的潜力.
研究的目的:
- 为了确定与成功的住院表现相关的眼科住院申请属性.
- 评估AI在分析推信 (LOR),院长信 (MSPE) 和个人陈述 (PS) 预测绩效方面的实用性.
主要方法:
- 对55名眼科住院医生 (2004-2019) 34个应用属性的回顾性分析.
- 居民被主观地按教师分为三级和十级.
- 眼科知识评估计划 (OKAP) 的得分作为客观绩效指标;AI分析了定性数据.
主要成果:
- 在妇产科医生职位和家庭眼科部门的荣誉与顶级第三级排名相关.
- 核心职务人员成绩,USNWR医学院排名前25名,以及PGY-2/PGY-3 OKAP分数预测了顶级三位数和十位数排名.
- USMLE分数,Alpha-Omega-Alpha (AOA) 状态,出版物,以及对LORs/MSPE/PS的AI分析与表现没有相关性.
结论:
- 核心职员表现和医学院排名是眼科医生住院成功的重要预测因素.
- 像OKAP分数这样的客观指标与高度主观的居民排名有关.
- 传统的指标,如USMLE分数,AOA状态和研究成果,在这个队列中显示出有限的预测价值.
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