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用于儿科急诊放射成像教学的交互式模型的开发:初步报告

Development of an interactive model for teaching emergency pediatric radiography: preliminary report.

作者信息

Halsted Mark J, Perry Laurie A, Perry Douglas J, Benton Corning

机构信息

Cincinnati Children's Hospital Medical Center, Department of Radiology, Cincinnati, Ohio 45229-3039, USA.

出版信息

J Am Coll Radiol. 2005 Aug;2(8):701-3. doi: 10.1016/j.jacr.2004.11.017.

DOI:10.1016/j.jacr.2004.11.017
PMID:17411909
Abstract

PURPOSE

The authors describe the development of an interactive digital teaching module designed to help prepare residents to diagnose emergency pediatric radiology cases.

METHODS

Cases were identified using the authors' own dictation search software. Cases were selected that depicted common conditions that had been misdiagnosed by the radiology resident who had first interpreted them clinically. Normal cases involving similar anatomic regions were also collected. Images from these cases were captured from the picture archiving and communication system. "Hotspots" were superimposed on abnormalities to highlight them. Example dictations were captured. A simple user interface was developed for the teaching module, and a database was built to log all user responses.

RESULTS

The system has been well received at the authors' institution. It has been incorporated into the standard orientation for all incoming residents. Residents' diagnostic performance has subjectively improved since the module was launched.

CONCLUSIONS

The module is interactive, easy to use, and subjectively improves incoming residents' diagnostic accuracy. A prospective, controlled study assessing its impact on short-term and long-term diagnostic performance is under way.

摘要

目的

作者描述了一个交互式数字教学模块的开发,该模块旨在帮助住院医师准备诊断儿科急诊放射病例。

方法

使用作者自己的听写搜索软件识别病例。选择那些描绘了最初临床解读时被放射科住院医师误诊的常见病症的病例。还收集了涉及相似解剖区域的正常病例。这些病例的图像从图像存档和通信系统中获取。“热点”叠加在异常部位以突出显示。采集了示例听写内容。为教学模块开发了一个简单的用户界面,并建立了一个数据库来记录所有用户的回答。

结果

该系统在作者所在机构受到好评。它已被纳入所有新入院住院医师的标准入职培训。自该模块推出以来,住院医师的诊断表现有了主观上的提高。

结论

该模块具有交互性、易于使用,并且能主观上提高新入院住院医师的诊断准确性。一项评估其对短期和长期诊断表现影响的前瞻性对照研究正在进行中。

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