Comprehensive Course on Clinical Study Data Management for Medical Informatics Students

Area of Science:

• Medical Informatics
• Health Data Management
• Clinical Research Education

Background:

• Effective data management is crucial for medical informatics research integrity.
• Students often lack specialized training in clinical data management.
• Tailored educational programs are needed to address this gap.

Purpose of the Study:

• To introduce a novel course on data management for medical informatics students.
• To provide a comprehensive understanding of data management principles, focusing on technical aspects.
• To emphasize data quality, interoperability, and ETL pipelines in clinical studies.

Main Methods:

• A multidimensional course design covering all stages of clinical trial setup.
• Utilized a real clinical study adapted for educational, longitudinal, stepwise learning.
• Collected anonymous student survey feedback for course evaluation and refinement.

Main Results:

• Pilot course received positive feedback, with 62.5% rating it "very good."
• Students reported enhanced understanding of data management principles and practical skills.
• Course structure with lectures, exercises, and interactive sessions promoted active learning.

Conclusions:

• The course effectively bridges the gap between theoretical knowledge and practical application in medical informatics.
• It equips students with essential technical skills for managing complex clinical study data.
• Positive student feedback confirms the course's relevance and successful implementation in preparing future professionals.