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基于技能评估路径的多学科研究生健康信息学课程评估方法。

A Skills Assessment Pathways-Based Program Assessment Approach in Multidisciplinary Graduate Health Informatics.

机构信息

Dept of BioHealth Informatics, School of Informatics and Computing, Indiana University - Purdue University Indianapolis, Indianapolis, USA.

出版信息

Stud Health Technol Inform. 2024 Jan 25;310:1191-1195. doi: 10.3233/SHTI231153.

Abstract

Multidisciplinary graduate education programs are hard to assess because of interdependent competencies. Students in these programs come with diverse disciplinary undergraduate degrees, and it is critical to identify knowledge gaps among these diverse learner groups to provide support to fill these gaps. Health Informatics (HI) is a multidisciplinary field in which health, technology, and social science knowledge are foundational to building HI competencies. In 2017, the American Medical Informatics Association identified ten functional domains in which HI competencies are divided. Using pre/post-semester knowledge assessment surveys of graduate students (n=60) between August 2021 to May 2022 in one of the largest graduate HI programs in the United States, we identified courses (n=9) across the curriculum that help build HI-specific competencies. Using statistical analysis, we identified three skills pathways by correlating knowledge gained with course learning objectives and used this to modify the curriculum over four semesters. These skills pathways are connected through one or two courses, where students can choose electives or, in some instances, course modules or assignments that link the skills pathways. Moreover, there is a statistically significant difference in how students gain these skills depending on their prior training, even though they take the same set of courses. Gender and other demographics did not show statistical differences in skills gained. Additionally, we found that research assistantships and internships/practicums provide additional skills not covered in our HI curriculum. Our program assessment methodology and resulting curricular changes might be relevant to HI and other multidisciplinary graduate training programs.

摘要

多学科研究生教育项目由于相互依存的能力而难以评估。这些项目的学生拥有不同学科的本科背景,因此确定这些不同学习群体之间的知识差距至关重要,以便为他们提供支持以弥补这些差距。健康信息学(HI)是一个多学科领域,健康、技术和社会科学知识是构建 HI 能力的基础。2017 年,美国医学信息学协会确定了 HI 能力分为十个功能领域。我们在美国最大的 HI 研究生项目之一中,使用 2021 年 8 月至 2022 年 5 月期间的研究生(n=60)的学期前后知识评估调查,确定了课程(n=9),这些课程贯穿整个课程,有助于建立特定于 HI 的能力。通过将所学知识与课程学习目标相关联进行统计分析,我们确定了三条技能途径,并在四个学期内使用该方法修改课程。这些技能途径通过一两门课程联系在一起,学生可以在其中选择选修课,或者在某些情况下,选择链接技能途径的课程模块或作业。此外,尽管学生学习相同的课程,但他们获得这些技能的方式存在统计学差异,这与他们之前的培训有关。性别和其他人口统计学特征在技能获得方面没有显示出统计学差异。此外,我们发现研究助理和实习/实践提供了我们 HI 课程未涵盖的额外技能。我们的项目评估方法和由此产生的课程变更可能与 HI 和其他多学科研究生培训项目相关。

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