Standards, Automation and Information Management in Clinical Laboratory

The aim of the course is to introduce biomedical scientists to the technologies and methods which manage information produced in the modern clinical laboratory.
After the successful completion of the course, the students will:

• get critical knowledge and training in statistical analysis with emphasis on laboratory statistics (calculation of reference values, diagnostic and laboratory sensitivity, ROC curves, etc.) and statistical quality control (introduction to probability theory, distributions, statistical principles of quality control),
• get the necessary statistical knowledge for their own research activity,
• be aware of the trends of modern technology in the biochemical laboratory (modular analytical systems, technological trends, legal framework etc.).
• be familiar with the technology of modern automatic analyzers and acquire skills in Medical Informatics Laboratories (LIS) and (HIS).
• be able to use their knowledge and understanding, and their problem-solving skills to face usual or future problems in the clinical laboratory,
• be able to communicate their conclusions as well as their knowledge both to specialized and non-specialized audiences.
• get the necessary learning skills that allow them to continue their studies in a largely self-sufficient or even autonomous way.