Digitalization in Social & Health Management

Department
  • European Master in Health Economics and Management
Course unit code
  • IHSM-EU-HEM-M2.3
Level of course unit
  • Master
Semester when the course unit is delivered
  • 2
Number of ECTS credits allocated
  • 5.0
Name of lecturer(s)
  • Dr. iur. Staffler Lukas, LL.M. (London)
  • FH-Prof. Dr. Schlögl Stephan
Learning outcomes of the course unit
  • After successful completion of this course, students will achieve the following learning objectives. They ...
    … have an overview of cloud-based IT systems
    … know the basics of governance and management concepts as well as relevant guidelines (COSO, COBIT, GDPR)
    … can describe database systems and understand their practical use
    … can carry out simple data analyzes with one common used analysis tool and know the essential elements for the graphical representation of data.
    … understand the underlying technologies for the Internet of Things
    …. know the options for integrating smart products with web-based services
    … know the basic ideas and technologies specific for information systems in social and health management (e.g. health record, blockchain, robotics in health care, etc.)
Mode of delivery
  • -
Prerequisites and co-requisites
  • none
Course contents
  • Introduction to the Module and web-based Services
    IT-Governance und Legal Aspects (GDPR)
    Databases and Data Management
    Analytics - Data Mining and Visualization
    Smart Technologies and the Internet of Things
    IT-Systems and Technologies in Social and Health Manage-ment
Recommended or required reading
  • Reinheimer, S. (2018): Cloud Computing: Die Infrastruktur der Digitalisierung. Wiesbaden: Springer Vieweg.
    Hildebrand, K., Gebauer, M., Hinrichs, H. (2018): Daten- und Informationsqualität: Auf dem Weg zur Information Excellence. Wiesbaden: Springer Vieweg.
    Hansen, H. R., Mendling, J., & Neumann, G. (2015). Wirt-schaftsinformatik: Grundlagen und Anwendungen (11., völlig neu bearb. Aufl.). De Gruyter Oldenbourg : Studium. Berlin [u.a.]: De Gruyter.
    Weber, A. (2017). Digitalisierung - Machen! Machen! Ma-chen!: Wie Sie Ihre Wertschöpfung Steigern Und Ihr Unter-nehmen Retten: Gabler.
    Chang, W. (2013). R Graphics Cookbook: Practical Recipes for Visualizing Data. Franham: O'Reilly.
    Rahlf, T. (2017). Data Visualisation with R: 100 Examples. Wiesbaden: Springer.
    Wickham, H., & Grolemund, G. (2017). R for Data Guerrieri, A., Loscri, V., Rovella, A., & Fortino, G. (2016). Management of Cyber Physical Objects in the Future Internet of Things. Cham: Springer International Publishing.
    Meyer, K., Klingner, S. (2018). Service Engineering: Von Dienstleistungen zu digitalen Service-Systemen. Wiesbaden: Springer Vieweg. Science. Franham: O'Reilly.
    National Research Council (2020). Computational Technolo-gy for Effective Health Care: Immediate Steps and Strategic Directions
    Shortliffe E. H. (2016). Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Infor-matics). Springer
    Nelson, R. (2017). Health Informatics: An Interprofessional Approach (English Edition). Elsevier
    Chang, A. C. (2020). Intelligence-Based Medicine: Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare. Academic Press
Planned learning activities and teaching methods
  • The course comprises an interactive mix of lectures, discussions and individual and group work.
Assessment methods and criteria
  • To monitor the students’ learning this course will provide ongoing assignments as a basis for feedback and grading (formative assessment) and/or will evaluate the students learning at the end of the course or an instructional unit via exams, final project reports, essays or seminar papers (summative assessment).
Language of instruction
  • English
    • AACSB/FIBAA