The ethical implications and regulatory requirements of AI applications and decision support systems are generally the subjects of interdisciplinary research. Case studies are a suitable means to prepare AI applications and clinical decision support systems for research. This paper proposes an approach that describes a procedure model and a categorization of the contents of cases for socio-technical systems. The developed methodology was applied to three cases and serve the researchers in the DESIREE research project as a basis for qualitative research and for ethical, social, and regulatory analyses.
CITATION STYLE
Lipprandt, M., Klausen, A. D., & Röhrig, R. (2023). Methodology for the Description of Socio-Technical Systems: A Case Study Approach. In Studies in Health Technology and Informatics (Vol. 302, pp. 656–660). IOS Press BV. https://doi.org/10.3233/SHTI230230
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