Learning Health Systems and Clinical Decision Support

Fakult?t

Fakult?t Wirtschafts- und Sozialwissenschaften (WiSo)

Version

Version 1 vom 07.08.2024.

Modulkennung

22M1144

Niveaustufe

Master

Unterrichtssprache

Englisch

ECTS-Leistungspunkte und Benotung

5.0

H?ufigkeit des Angebots des Moduls

nur Wintersemester

Dauer des Moduls

1 Semester

 

 

Kurzbeschreibung

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.

Lehr-Lerninhalte

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

Gesamtarbeitsaufwand

Der Arbeitsaufwand für das Modul umfasst insgesamt 150 Stunden (siehe auch "ECTS-Leistungspunkte und Benotung").

Lehr- und Lernformen
Dozentengebundenes Lernen
Std. WorkloadLehrtypMediale UmsetzungKonkretisierung
30VorlesungPr?senz-
15?bungPr?senz oder Online-
Dozentenungebundenes Lernen
Std. WorkloadLehrtypMediale UmsetzungKonkretisierung
50Veranstaltungsvor- und -nachbereitung-
55Prüfungsvorbereitung-
Benotete Prüfungsleistung
  • Hausarbeit oder
  • Referat (mit schriftlicher Ausarbeitung)
Prüfungsdauer und Prüfungsumfang

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.

Empfohlene Vorkenntnisse

Fundamentals of Statistics

Wissensverbreiterung

Students will be able to describe the different components of learning organisations and health systems and differentiate the various system characteristics.

Wissensvertiefung

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.

Wissensverst?ndnis

Students are able to critically reflect on the capabilities and limitations of learning systems at the organisational and system level.

Nutzung und Transfer

Students are able to apply basic methods and techniques used in learning systems to different scenarios.

Wissenschaftliche 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.

Kommunikation und Kooperation

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.

Wissenschaftliches Selbstverst?ndnis / Professionalit?t

Students can reflect on learning systems against the background of ethical, legal and economic framework requirements.

Literatur

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.

Zusammenhang mit anderen Modulen

The module is designed as an elective option in the first semester of the specialisation "Digital Business".

Verwendbarkeit nach Studieng?ngen

  • Management im Gesundheitswesen, M.A.
    • Management im Gesundheitswesen, M.A. (01.09.2024)

    Modulpromotor*in
    • Hübner, Ursula Hertha
    Lehrende
    • Hübner, Ursula Hertha