Methodology for the Description of Socio-Technical Systems: A Case Study Approach

Studies in health technology and informatics, vol. 302, pp. 656–660

Abstract

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.

Authors 3

1. Myriam Lipprandt corresponding Aachen Institut of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institut of Medical Informatics, Medical Faculty of RWTH University Aachen, Aachen, Germany

2. Andrea Diana Klausen Aachen Institut of Medical Informatics Medical Faculty Institute of Medical Informatics

   RWTH Aachen University · Universitätsklinikum Aachen

   Affiliation as printed

   Institut of Medical Informatics, Medical Faculty of RWTH University Aachen, Aachen, Germany

   Institute of Medical Informatics, University Hospital RWTH Aachen, Pauwelsstr. 30, 52074 Aachen

3. Rainer Röhrig Aachen Institut of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institut of Medical Informatics, Medical Faculty of RWTH University Aachen, Aachen, Germany