Learning Health Systems and Clinical Decision Support
- Faculty
Faculty of Business Management and Social Sciences
- Version
Version 1 of 07.08.2024.
- Module identifier
22M1144
- Module level
Master
- Language of instruction
English
- ECTS credit points and grading
5.0
- Module frequency
only winterterm
- Duration
1 semester
- Brief description
The module covers the conceptual and technical foundations of learning organisations in general and learning health systems in particular. It teaches students how digital solutions combined with routinely collected health data and advanced data science approaches enable a paradigm shift in healthcare delivery and governance towards practice-based learning cycles.
- Teaching and learning outcomes
1 Principles of learning cycles in organisations and systems
1.1 Practice to data
1.2 Data to knowledge
1.3 Knowledge to practice
2. Learning Health Systems
2.1 Theoretical foundations
2.2 Health policy environment
2.2 Rationale, Strategic Orientation & Complexity
2.3 Technical components
2.3.1 Digital tools
2.3.2. Statistical methods
3 Learning organisations and health systems in practice: barriers and facilitators
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Hours of workload Type of teaching Media implementation Concretization 30 Lecture Presence - 15 Practice Presence or online - Lecturer independent learning Hours of workload Type of teaching Media implementation Concretization 50 Preparation/follow-up for course work - 55 Exam preparation -
- Graded examination
- Homework / Assignment or
- Oral presentation, with written elaboration
- Exam duration and scope
Written paper: approx. 10-15 pages
Presentation with written report: approx. 20-30 minutes, written report approx. 5 pagesThe requirements are specified in the respective course.
- Recommended prior knowledge
Fundamentals of Statistics
- Knowledge Broadening
Students will be able to describe the different components of learning organisations and health systems and differentiate the various system characteristics.
- Knowledge deepening
Students will be able to contextualise learning systems in relation to fundamental digital societal transformation processes and gain a deeper understanding of their functions and applications.
- Knowledge Understanding
Students are able to critically reflect on the capabilities and limitations of learning systems at the organisational and system level.
- Application and Transfer
Students are able to apply basic methods and techniques used in learning systems to different scenarios.
- Academic Innovation
Learning health systems represent a fundamental innovation in health care. Students can use their acquired knowledge as a tool to initiate new process designs in (health) organisations.
- Communication and Cooperation
Students will be able to communicate the concept of learning systems as an approach to system or organisation-wide quality optimisations to the various stakeholders of such systems (e.g. clinicians, statisticians, managers and informatics professionals) in a way that is appropriate for the target group and to coordinate between corresponding stakeholders.
- Academic Self-Conception / Professionalism
Students can reflect on learning systems against the background of ethical, legal and economic framework requirements.
- Literature
Friedman, C., Rubin, J., Brown, J., Buntin, M., Corn, M., Etheredge, L., ... & Van Houweling, D. (2015). Toward a science of learning systems: a research agenda for the high-functioning Learning Health System. Journal of the American Medical Informatics Association, 22(1), 43-50.
Enticott, J., Johnson, A., & Teede, H. (2021). Learning health systems using data to drive healthcare improvement and impact: a systematic review. BMC health services research, 21, 1-16.
- Linkage to other modules
The module is designed as an elective option in the first semester of the specialisation "Digital Business".
- Applicability in study programs
- Management for Health Services, M.A.
- Management for Health Services, M.A.
- Person responsible for the module
- Hübner, Ursula Hertha
- Teachers
- Hübner, Ursula Hertha