Abstract
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.
Keywords
education - research data management - fast healthcare interoperability resources
- clinical data management - clinical research informatics
