Medical Decision Support Systems (MDSS)
1/2. Semester
5 ECTS | 4 SWS
Oral Exam (M)
Improve Patient Care with Intelligent Decision Support Systems: Develop Clinical Decision Support (CDS) functions for electronic health records, learn how medical knowledge can be processed automatically, and evaluate the benefits, limitations, and practical applications of modern clinical decision support systems.
Contents
- The primary purpose of clinical documentation is to collect all information relevant to patient care. Electronic health records enable not only documentation but also the provision of intelligent support functions, such as alerting healthcare professionals to deteriorating liver or kidney function. In the literature, such capabilities are referred to as Clinical Decision Support (CDS). This course explores how CDS functions can be developed and integrated into existing clinical information systems while addressing the typical challenges involved.
- Topics covered in the course include:
- How can medical knowledge be processed automatically?
- How realistic are media portrayals of artificial intelligence?
- Which standards are available for knowledge representation and processing?
- How are Medical Logic Modules (MLMs) developed?
- How can CDS functions be integrated into electronic health records?
- In what ways can CDS functions interact with clinical users?
- How can the practical value of CDS functions be evaluated?
Competencies
Students are able to
- describe the fundamentals of automated knowledge processing.
- distinguish standards for knowledge representation and processing.
- independently develop simple Medical Logic Modules (MLMs).
- integrate clinical decision support (CDS) functions into clinical information systems.
- interpret studies evaluating the benefits of clinical decision support functions.
Literature
- R.A. Greenes, ed., Clinical decision support: the road to broad adoption, 2nd ed, Academic Press, Amsterdam : Boston, 2014.
- C. Spreckelsen, K. Spitzer, Wissensbasen und Expertensysteme in der Medizin: KI-Ansätze zwischen klinischer Entscheidungsunterstützung und medizinischem Wissensmanagement, Vieweg + Teubner, Wiesbaden, 2008.
- Weitere Literatur wird den Teilnehmern im Laufe der Vorlesung zur Verfügung gestellt.
Lecturer
Recommended Previous Knowledge
-
Basic programming skills
-
Knowledge of databases is an advantage
Module Details
| Semester |
1/2 |
| Lecture Language |
German |
|
Frequency
|
Winter Term
|
| Credit Points (ECTS)
|
5 |
| Course Coordinator |
Prof. Dr. Stefan Kraus |
| Duration |
1 Semester |
| Study Focus |
Medical Data Science (MDS)
|
|
Course Achievement
|
None |
|
Prerequisite for exam
|
Compulsory Assignment (PU) |
|
Exam
|
Oral Exam (M) |
Weekly Hours (SWS)
| Lecture |
3 SWS |
| Exercises |
1 SWS |
| Sum |
4 SWS |
Work Load
| Lecture |
45 h |
| Self Study |
90 h |
| Assignments |
15 h |
| Sum |
150 h |
