Content, progress and pedagogy of the module

The goal of the module is for the students to be able to relate critically to health data quality when health data is the foundation for decision-making, diagnosis and further treatment of patients and citizens or for research, e.g. epidemiological research. The students achieve this through analysis and treatment of problems with different data registration practices. 

Learning objectives

Knowledge

• Can understand how typical clinical data form the basis for decisions. 

• Have knowledge of collection, including how different types of medical technology data are collected and processed. 

• Have knowledge of NOSQL databases and their application area in the healthcare sector. 

Skills

• Can assess the usefulness of data for clinical (quality) purposes.   

• Can derive a basic IT architecture from a graphic or other description of architecture. 

• Can present and argue for the connection between data quality and clinical issues.  

• Can use SQL and must be able to build relational databases using a graphical tool. 

• Can design and develop relational databases. 

Competences

• Can assess the correlation between data quality and clinical issues. 

• Can discuss consequences of errors in handling clinical data. 

Type of instruction

The teaching format is blended learning based on self-study of both written material and video clips, discussion in study groups and online seminars. 

Exam

Exams