生物医学成像信息学的教学模型
1Central University of Technology, Private Bag X20539, BLOEMFONTEIN, 9300, South Africa.
Radiography (London, England : 1995)
|July 16, 2024
概括
开发了一种新的成像信息学教学模式,用于培训放射学家和IT专家. 该模型旨在改善数字成像环境中的工作流程和质量.
科学领域:
- 医疗信息学 医疗信息学
- 数字健康数字健康
- 放射学教育 放射学教育
背景情况:
- 医学的数字化转型严重依赖于放射学.
- 在数字成像中有效的工作流程管理需要专门的人员.
- 需要在成像信息学方面进行结构化培训.
研究的目的:
- 开发一个全面的图像信息学教学和学习模型.
- 为满足数字放射环境专业人员的教育需求.
主要方法:
- 一种混合方法的方法,结合文献综述和结构化问卷.
- 德尔菲方法有三轮,涉及医疗信息学和高等教育专家.
- 在与成像信息学教育相关的陈述上建立共识.
主要成果:
- 使用有关法规和课程组件的文献建立了一个框架.
- 在成像信息学中确定了六个关键主题,涵盖教学,学习,评估,项目管理和临床工程.
- 在184个陈述中,共识达到了142个,其中37个表明稳定性,形成了一个整体模型.
结论:
- 开发的模型,通过专家反精细化,提供了一个广泛和深入的方法来成像信息学教育.
- 它解决了课程开发的挑战,并促进了实际实施.
- 该模型可以加强成像信息学专业人员的培训,改善数字放射学中的系统集成,质量和服务.
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