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 workloadType of teachingMedia implementationConcretization
30LecturePresence-
15PracticePresence or online-
Lecturer independent learning
Hours of workloadType of teachingMedia implementationConcretization
50Preparation/follow-up for course work-
55Exam 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 pages

The 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