医学信息学专业临床研究数据管理综合课程。

IF 2.1 2区 医学 Q4 MEDICAL INFORMATICS
Applied Clinical Informatics Pub Date : 2025-03-01 Epub Date: 2025-03-12 DOI:10.1055/a-2461-2956
Yevgeniia Ignatenko, Natalia Ortmann, Sebastian Lutz, Frank Kramer
{"title":"医学信息学专业临床研究数据管理综合课程。","authors":"Yevgeniia Ignatenko, Natalia Ortmann, Sebastian Lutz, Frank Kramer","doi":"10.1055/a-2461-2956","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong> Effective data management is critical in medical informatics research, ensuring the success and integrity of clinical studies. However, students often lack comprehensive training in this area, highlighting the need for tailored educational programs.</p><p><strong>Objectives: </strong> This study aims to introduce a proposed course focused on data management for medical informatics students. The objectives include providing students with a robust understanding of data management principles, particularly emphasizing technical measures within clinical studies regarding data quality, interoperability, and extract, transform, and load pipelines.</p><p><strong>Methods: </strong> The course design involves a multidimensional approach, covering various aspects of research data management. It comprises each step involved in setting up a clinical trial, based on a real study adapted for educational purposes and presented in a longitudinal stepwise design. An anonymous survey was conducted among the students to evaluate and further develop the course content.</p><p><strong>Results: </strong> Initial feedback from students participating in the pilot course has been positive, with 62.5% of responses evaluating this course as \"very good.\" Students reported an improved understanding of data management principles and expressed appreciation for the practical exercises. Topics include theoretical concepts, practical applications, and hands-on exercises. Lectures, exercises, and interactive sessions are utilized to engage students and enhance learning outcomes. The course structure facilitated active participation and knowledge retention among students.</p><p><strong>Conclusion: </strong> The proposed course bridges a gap in the education of medical informatics students between theory and practice, equipping them with technical skills, medical knowledge, and data analytics. The course aims to prepare future professionals to address the complex data challenges inherent in clinical studies, improving clinical research processes for higher-quality evidence. The positive feedback from students underscores the effectiveness, successful implementation of the course, and relevance of such a course in shaping the next generation of medical informatics professionals.</p>","PeriodicalId":48956,"journal":{"name":"Applied Clinical Informatics","volume":"16 2","pages":"245-251"},"PeriodicalIF":2.1000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903106/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Course on Clinical Study Data Management for Medical Informatics Students.\",\"authors\":\"Yevgeniia Ignatenko, Natalia Ortmann, Sebastian Lutz, Frank Kramer\",\"doi\":\"10.1055/a-2461-2956\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong> Effective data management is critical in medical informatics research, ensuring the success and integrity of clinical studies. However, students often lack comprehensive training in this area, highlighting the need for tailored educational programs.</p><p><strong>Objectives: </strong> This study aims to introduce a proposed course focused on data management for medical informatics students. The objectives include providing students with a robust understanding of data management principles, particularly emphasizing technical measures within clinical studies regarding data quality, interoperability, and extract, transform, and load pipelines.</p><p><strong>Methods: </strong> The course design involves a multidimensional approach, covering various aspects of research data management. It comprises each step involved in setting up a clinical trial, based on a real study adapted for educational purposes and presented in a longitudinal stepwise design. An anonymous survey was conducted among the students to evaluate and further develop the course content.</p><p><strong>Results: </strong> Initial feedback from students participating in the pilot course has been positive, with 62.5% of responses evaluating this course as \\\"very good.\\\" Students reported an improved understanding of data management principles and expressed appreciation for the practical exercises. Topics include theoretical concepts, practical applications, and hands-on exercises. Lectures, exercises, and interactive sessions are utilized to engage students and enhance learning outcomes. The course structure facilitated active participation and knowledge retention among students.</p><p><strong>Conclusion: </strong> The proposed course bridges a gap in the education of medical informatics students between theory and practice, equipping them with technical skills, medical knowledge, and data analytics. The course aims to prepare future professionals to address the complex data challenges inherent in clinical studies, improving clinical research processes for higher-quality evidence. The positive feedback from students underscores the effectiveness, successful implementation of the course, and relevance of such a course in shaping the next generation of medical informatics professionals.</p>\",\"PeriodicalId\":48956,\"journal\":{\"name\":\"Applied Clinical Informatics\",\"volume\":\"16 2\",\"pages\":\"245-251\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11903106/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Clinical Informatics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2461-2956\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"MEDICAL INFORMATICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Clinical Informatics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2461-2956","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/12 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"MEDICAL INFORMATICS","Score":null,"Total":0}
引用次数: 0

摘要

背景:有效的数据管理在医学信息学研究中至关重要,可以确保临床研究的成功和完整性。然而,学生往往缺乏这方面的全面培训,这凸显了量身定制教育计划的必要性。目的:本研究旨在为医学信息学学生介绍一门以数据管理为重点的课程。目标包括为学生提供对数据管理原则的全面理解,特别强调临床研究中有关数据质量、互操作性以及提取、转换和加载管道的技术措施。方法:课程设计采用多维度的方法,涵盖研究数据管理的各个方面。它包括建立临床试验所涉及的每一个步骤,基于一项为教育目的而改编的真实研究,并以纵向逐步设计的方式呈现。在学生中进行了匿名调查,以评估和进一步发展课程内容。结果:参与试点课程的学生的初步反馈是积极的,62.5%的反馈认为这门课程“非常好”。学生们报告说,他们对数据管理原理的理解有所提高,并对实践练习表示赞赏。主题包括理论概念、实际应用和动手练习。利用讲座、练习和互动会议来吸引学生并提高学习成果。课程结构有利于学生的积极参与和知识的保留。结论:本课程为医学信息学学生提供理论与实践之间的桥梁,使他们具备技术技能、医学知识和数据分析能力。本课程旨在培养未来的专业人士解决临床研究中固有的复杂数据挑战,改善临床研究过程,以获得更高质量的证据。学生的积极反馈强调了课程的有效性,成功实施,以及此类课程在塑造下一代医学信息学专业人员方面的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive Course on Clinical Study Data Management for Medical Informatics Students.

Background:  Effective data management is critical in medical informatics research, ensuring the success and integrity of clinical studies. However, students often lack comprehensive training in this area, highlighting the need for tailored educational programs.

Objectives:  This study aims to introduce a proposed course focused on data management for medical informatics students. The objectives include providing students with a robust understanding of data management principles, particularly emphasizing technical measures within clinical studies regarding data quality, interoperability, and extract, transform, and load pipelines.

Methods:  The course design involves a multidimensional approach, covering various aspects of research data management. It comprises each step involved in setting up a clinical trial, based on a real study adapted for educational purposes and presented in a longitudinal stepwise design. An anonymous survey was conducted among the students to evaluate and further develop the course content.

Results:  Initial feedback from students participating in the pilot course has been positive, with 62.5% of responses evaluating this course as "very good." Students reported an improved understanding of data management principles and expressed appreciation for the practical exercises. Topics include theoretical concepts, practical applications, and hands-on exercises. Lectures, exercises, and interactive sessions are utilized to engage students and enhance learning outcomes. The course structure facilitated active participation and knowledge retention among students.

Conclusion:  The proposed course bridges a gap in the education of medical informatics students between theory and practice, equipping them with technical skills, medical knowledge, and data analytics. The course aims to prepare future professionals to address the complex data challenges inherent in clinical studies, improving clinical research processes for higher-quality evidence. The positive feedback from students underscores the effectiveness, successful implementation of the course, and relevance of such a course in shaping the next generation of medical informatics professionals.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Applied Clinical Informatics
Applied Clinical Informatics MEDICAL INFORMATICS-
CiteScore
4.60
自引率
24.10%
发文量
132
期刊介绍: ACI is the third Schattauer journal dealing with biomedical and health informatics. It perfectly complements our other journals Öffnet internen Link im aktuellen FensterMethods of Information in Medicine and the Öffnet internen Link im aktuellen FensterYearbook of Medical Informatics. The Yearbook of Medical Informatics being the “Milestone” or state-of-the-art journal and Methods of Information in Medicine being the “Science and Research” journal of IMIA, ACI intends to be the “Practical” journal of IMIA.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信