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首页> 外文期刊>Journal of Digital Imaging >Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call
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Orion: A Web-Based Application Designed to Monitor Resident and Fellow Performance On-Call

机译：Orion：一种基于Web的应用程序，旨在监视随时随地的居民和同伴绩效

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Radiology residency and fellowship training provides a unique opportunity to evaluate trainee performance and determine the impact of various educational interventions. We have developed a simple software application (Orion) using open-source tools to facilitate the identification and monitoring of resident and fellow discrepancies in on-call preliminary reports. Over a 6-month period, 19,200 on-call studies were interpreted by 20 radiology residents, and 13,953 on-call studies were interpreted by 25 board-certified radiology fellows representing eight subspecialties. Using standard review macros during faculty interpretation, each of these reports was classified as “agreement”, “minor discrepancy”, and “major discrepancy” based on the potential to impact patient management or outcome. Major discrepancy rates were used to establish benchmarks for resident and fellow performance by year of training, modality, and subspecialty, and to identify residents and fellows demonstrating a significantly higher major discrepancy rate compared with their classmates. Trends in discrepancies were used to identify subspecialty-specific areas of increased major discrepancy rates in an effort to tailor the didactic and case-based curriculum. A series of missed-case conferences were developed based on trends in discrepancies, and the impact of these conferences is currently being evaluated. Orion is a powerful information technology tool that can be used by residency program directors, fellowship programs directors, residents, and fellows to improve radiology education and training.
机译：放射学住院医师和研究金培训提供了一个独特的机会来评估受训人员的表现并确定各种教育干预措施的影响。我们使用开源工具开发了一个简单的软件应用程序（Orion），以方便在随叫随到的初步报告中识别和监控居民和同伴之间的差异。在6个月的时间里，有20位放射学居民解释了19,200个电话研究，而代表8个专业的25位经过董事会认证的放射学研究员对13,953个电话研究进行了解释。在教师解释期间，使用标准的审阅宏将这些报告根据对患者管理或结果产生影响的潜力分为“协议”，“轻微差异”和“重大差异”。主要差异率用于建立按培训年份，方式和亚专业划分的居民和同伴表现的基准，并识别出与同班同学相比，主要差异率明显更高的居民和同伴。差异趋势被用来识别主要差异率增加的特定于专业的领域，以努力设计出基于案例的教学方法。根据差异趋势，开发了一系列未结案件会议，目前正在评估这些会议的影响。 Orion是功能强大的信息技术工具，居住计划主管，研究金计划主管，居民和研究人员可以使用它来改善放射学教育和培训。

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