在独特的数字健康培训文化中实施跨学科数字健康课程时的知识转移和网络:前瞻性分析

IF 3.2 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Juliane Kröplin, Leonie Maier, J. Lenz, Bernd Romeike
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引用次数: 0

摘要

摘要 背景 医学院系开设数字健康课程已有几年时间。然而,总体而言,数字能力教学在医学教育和培训中的比重仍然不足。目的 本研究旨在分析德国一所大学通过实施作为必修选修课的跨学科数字健康课程而客观获得的数字能力。在为期一个学期的时间里,以跨学科的方式开发并教授了数字领导与管理、数字学习与教学、数字通信、机器人技术和生成人工智能等主要学科领域。方法 在研究过程中,学员们使用李克特量表对课程中已提前教授的能力方面的相关内容进行了评估。通过由 12 个问题组成的前后测试,考察了学员数字能力的提高情况。统计分析采用非配对双尾学生 t 检验。P 值小于 0.05 则具有统计学意义。此外,还对跨学科方法的接受程度以及替代考试方法(用学期论文代替包含封闭式和开放式问题的测试)的应用情况进行了分析。结果 在开设必修选修课后的第一年,人类医学(15 人)、牙科学(3 人)和医学生物技术(2 人)专业的学生参加了该课程。共有 13 名女生(7 名男生)参加,61.1%(n=11)的人类医学和口腔医学学员处于临床前学习阶段(临床:n=7,38.9%)。上述所有学习目标在所有研究科基本都不存在(临床前:平均 4.2;临床:平均 4.4;P=.02)。前后测试比较显示,学员的知识水平显著提高了 106%(P<.001)。结论 数字健康课程的跨学科教学,包括数字教学方法,考虑了不同学科的观点和技能。我们的新课程有助于客观地增加有关医疗保健系统数字化转型的复杂挑战的知识。在该课程产生的 16 篇学生学期论文中,机器人和人工智能最引人关注,占提交论文的 9 篇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge Transfer and Networking Upon Implementation of a Transdisciplinary Digital Health Curriculum in a Unique Digital Health Training Culture: Prospective Analysis
Abstract Background Digital health has been taught at medical faculties for a few years. However, in general, the teaching of digital competencies in medical education and training is still underrepresented. Objective This study aims to analyze the objective acquisition of digital competencies through the implementation of a transdisciplinary digital health curriculum as a compulsory elective subject at a German university. The main subject areas of digital leadership and management, digital learning and didactics, digital communication, robotics, and generative artificial intelligence were developed and taught in a transdisciplinary manner over a period of 1 semester. Methods The participants evaluated the relevant content of the curriculum regarding the competencies already taught in advance during the study, using a Likert scale. The participants’ increase in digital competencies were examined with a pre-post test consisting of 12 questions. Statistical analysis was performed using an unpaired 2-tailed Student t test. A P value of <.05 was considered statistically significant. Furthermore, an analysis of the acceptance of the transdisciplinary approach as well as the application of an alternative examination method (term paper instead of a test with closed and open questions) was carried out. Results In the first year after the introduction of the compulsory elective subject, students of human medicine (n=15), dentistry (n=3), and medical biotechnology (n=2) participated in the curriculum. In total, 13 participants were women (7 men), and 61.1% (n=11) of the participants in human medicine and dentistry were in the preclinical study stage (clinical: n=7, 38.9%). All the aforementioned learning objectives were largely absent in all study sections (preclinical: mean 4.2; clinical: mean 4.4; P=.02). The pre-post test comparison revealed a significant increase of 106% in knowledge (P<.001) among the participants. Conclusions The transdisciplinary teaching of a digital health curriculum, including digital teaching methods, considers perspectives and skills from different disciplines. Our new curriculum facilitates an objective increase in knowledge regarding the complex challenges of the digital transformation of our health care system. Of the 16 student term papers arising from the course, robotics and artificial intelligence attracted the most interest, accounting for 9 of the submissions.
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来源期刊
JMIR Medical Education
JMIR Medical Education Social Sciences-Education
CiteScore
6.90
自引率
5.60%
发文量
54
审稿时长
8 weeks
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