Module Number

MEDZ-4110
Module Title

Advanced Medical Informatics
Lecture Type(s)

Lecture, Tutorial
ECTS 9
Work load
- Contact time
- Self study
Workload:
270 h
Class time:
90 h / 6 SWS
Self study:
180 h
Duration 1 Semester
Frequency In the winter semester
Language of instruction English
Type of Exam

Written exam or oral exam

Content

This lecture comprises different areas of Medical Informatics. The focus is on
data integration, medical data privacy, artificial intelligence and data mining
for health data, and treatment decision support systems. Specific topics are:
• statistical machine learning basics
• state-of-the-art in decision support systems and beyond
• differential privacy
• k-anonymity
• privacy-preserving record linkage
• federated learning approaches and GO-FAIR
• genome privacy
• FHIR
• openEHR
• data warehouses and no-SQL data bases
• map reduce

Objectives

The students are capable of explaining the most important terms, methods and
theories of clinical decision support systems, medical data privacy, and data
integration and analysis. They are enabled to decide which type of methods fit
to which kind of data sets. The students can critically reflect on shortcomings
of state-of-the-art methods to potentially come up with ideas for extending or
improving the methods.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation MDZINFM1410 Introduction to Medical Informatics
Lecturer / Other Pfeifer
Literature

Eta S. Berner: Clinical Decision Support Systems - Theory and Practice,
A.Gkoulalas-Divanis and G. Loukides: Medical Data Privacy Handbook,
P. Lake and P. Crowther: Concise guide to databases / recommended: Grundlagen der Medizininformatik

Last offered Wintersemester 2022
Planned for Wintersemester 2024
Assigned Study Areas BIO-BIO, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-BIOMED, ML-CS