ECTS: 1.2
Course leader: Lars Henning Pedersen
Language: English
Graduate school: Faculty of Health
Graduate program: ClinFO
Course fee: 1,440.00 DKK
Status: Course is open for application
Semester: Spring 2027
Application deadline: 15/03/2027
Cancellation deadline: 29/03/2027
Course type: Classroom teaching
Start date: 12/04/2027
Administrator: Johanne Gregor Højgaard
Preparation prior to course start
Please expect preparation work ~4 hours.
The course C343 Electronic Health Records in Clinical, Epidemiological, and Biomedical Research is being offered by the Graduate School of Health, Aarhus University, 2027.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
Requirements for participation: Participants are expected to have basic knowledge of epidemiology and study design.
Aim: The course provides a comprehensive and methodologically grounded introduction to the use of electronic health records (EHR) in clinical, epidemiological, and biomedical research. Emphasis is placed on data structure, data validity, legal and ethical frameworks, and key methodological challenges, supported by examples from Danish healthcare registries and clinical systems.
Learning outcomes: Knowledge: Describe EHR structure and heterogeneity; understand legal and ethical frameworks; identify sources of bias.
Skills: Design EHR-based studies; assess data quality and coding; address confounding, selection bias, and missing data; apply basic principles of data extraction including NLP.
Competencies: Critically appraise EHR-based research; translate findings into clinically relevant insights; develop a research protocol using EHR data.
Workload: The full workload of the course is expected to be 12 hours (Preparation ~4 hours; course participation 8 hours).
Content: Introduction to EHR systems; legal and ethical frameworks (GDPR, Danish Legislation, Declaration of Helsinki); data structure and coding practices; study designs; bias and data limitations; data access and management; extraction of structured and unstructured data (including using language models); clinical applications of EHR data.
Instructors: Lars Henning Pedersen (Course Leader), Line Kolding, Mette Thunbo, Julie Hauer Vendelbo.
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
Course dates:
- 12 April 2027 09:00 - 16:00