Prof. Dr. Stefan Heinemann

Professor of Business Ethics FOM Hochschule

Prof. Dr. Stefan Heinemann focuses on the economic and ethical perspective on AI and digital Technologies. In both the private and public sectors, he focuses on medicine and healthcare, energy supply and all industries that have to deal with complex structures and issues that require change and resilience in order to be successful in terms of sustainability. He is Professor of Business Ethics at the FOM University of Applied Sciences and elected Member of the Ethics Committee of the Medical Faculty of the University of Duisburg-Essen, furthermore spokesperson of the Ethics Ellipse Smart Hospital at the Universitymedicine Essen. He is the Scientific Director of the HAUPTSTADTKONGRESS Lab (Springer Medicine, Wiso). He is head of the research group "Ethics of the Digital Health Economy & Medicine" at the ifgs Institute for Health & Social Affairs of the FOM University of Applied Sciences, member of the Scientific Advisory Board of 10xD, member of the "Working Group AI in Internal Medicine" within the commission "Digital transformation of internal medicine" Deutsche Gesellschaft für Innere Medizin e.V. as well as expert advisor in various research and educational institutions. In addition, the philosopher and theologian is a member of the scientific advisory board "Digital Transformation" of the AOK Nordost, a member of the Scientific Advisory Board of the Working Group Gender-Sensitive Medicine at the Medical Faculty of Bielefeld University, a member of the advisory board of the Institute for PatientExperience of the Universitymedicine Essen and a member of the social and health policy advisory board of the BARMER regional representation North Rhine-Westphalia. As well as on the board of the Cologne Science Round, chairman of the board of "Science City Essen" and member of the board of trustees of sneep e. V., a student network for business and corporate ethics. He is co-initiator of www.dataprotection-landscape.com as a platform for the multidimensionality of data protection.