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影像学信息学研究金课程:就最关键的主题和信息学研究金的未来达成共识。

Imaging Informatics Fellowship Curriculum: Building Consensus on the Most Critical Topics and the Future of the Informatics Fellowship.

机构信息

Department of Radiology and Imaging Sciences, Emory University School of Medicine, NE Suite D112, 1364 Clifton Road, Atlanta, GA, 30322, USA.

Department of Radiology, Ground Floor, Hospital of the University of Pennsylvania, 3400 Civic Center Boulevard Atrium, Philadelphia, PA, 19104, USA.

出版信息

J Digit Imaging. 2023 Feb;36(1):1-10. doi: 10.1007/s10278-022-00702-y. Epub 2022 Oct 31.

Abstract

The existing fellowship imaging informatics curriculum, established in 2004, has not undergone formal revision since its inception and inaccurately reflects present-day radiology infrastructure. It insufficiently equips trainees for today's informatics challenges as current practices require an understanding of advanced informatics processes and more complex system integration. We sought to address this issue by surveying imaging informatics fellowship program directors across the country to determine the components and cutline for essential topics in a standardized imaging informatics curriculum, the consensus on essential versus supplementary knowledge, and the factors individual programs may use to determine if a newly developed topic is an essential topic. We further identified typical program structural elements and sought fellowship director consensus on offering official graduate trainee certification to imaging informatics fellows. Here, we aim to provide an imaging informatics fellowship director consensus on topics considered essential while still providing a framework for informatics fellowship programs to customize their individual curricula.

摘要

现有的 fellowship 成像信息学课程于 2004 年设立,自成立以来尚未进行正式修订,并且不能准确反映当今的放射学基础架构。它不能为学员提供当今信息学挑战所需的充分准备,因为当前的实践需要了解先进的信息学流程和更复杂的系统集成。我们通过调查全国的成像信息学研究员课程主任,来解决这个问题,以确定标准化成像信息学课程中基本主题的组成部分和划分线,确定基本和补充知识的共识,以及各个项目可能用来确定新开发主题是否为基本主题的因素。我们进一步确定了典型的项目结构要素,并寻求研究员课程主任对为成像信息学研究员提供正式研究生培训认证的共识。在这里,我们旨在为成像信息学研究员课程主任提供被认为是必要的主题的共识,同时仍然为信息学研究员课程提供一个框架,以定制其个人课程。

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