2021, Grimberg, Frank, Asprion, Petra, Schneider, Bettina, Miho, Enkelejda, Babrak, Lmar, Habbabeh, Ali

Background: The life science industry has a strong interest in real-world data (RWD), a term that is currently being used in many ways and with varying definitions depending on the source. In this review article, we provide a summary overview of the challenges and risks regarding the use of RWD and its translation into real-world evidence and provide a classification and visualization of RWD challenges by means of the RWD Challenges Radar. Summary: Based on a systematic literature search, we identified 3 types of challenges – organizational, technological, and people-based – that must be addressed when deriving evidence from RWD to be used in drug approval and other applications. It further demonstrates that numerous different aspects, for example, related to the application field and the associated industry, must be considered. A key finding in our review is that the regulatory landscape must be carefully assessed before utilizing RWD. Key Messages: Establishing awareness and insight into the challenges and risks regarding the use of RWD will be key to taking full advantage of the RWD potential. As a result of this review, an “RWD Challenges Radar” will support the establishment of awareness by providing a comprehensive overview of the relevant aspects to be considered when employing RWD.

2019, Grimberg, Frank, Asprion, Petra, Schneider, Bettina, Miho, Enkelejda, Babrak, Lmar, Habbabeh, Ali

In this research report of the University of Applied Sciences and Arts Northwestern Switzerland (FHNW), a classification of ‘Real World Data’ into the research landscape takes place. In addition, an identification of the still open research questions is done based on the fundamental principles and properties. The manifold potential of this relatively new data set is illustrated by a presentation of the already existing but also conceivable future application possibilities. Finally, the contribution of the FHNW, based on its specific competencies, to the further application of the dataset is shown.

2020, Asprion, Petra, Schneider, Bettina, Moriggl, Pascal, Grimberg, Frank, Dermol, Valerij

Lego Serious Play (LSP) is a methodology that helps people brainstorm and discuss complex ideas through storytelling and metaphors. LSP has been successfully applied as a mechanism for creative learning and team building. In this paper, we discuss using LSP to teach core topics of Cyber Security and Resilience (CS&R) in higher education. Initial results suggest that LSP has a positive impact on student learning, while also improving student engagement both, within the course and in their business environment. While the use of LSP discussed here focuses on its implementation in CS&R courses, this highly transferable methodology can be applied across the spectrum of disciplines and for multiple purposes. In addition, it can also be used to facilitate cyber security awareness or risk assessment workshops in various environments.

2018, Asprion, Peter, Schneider, Bettina, Grimberg, Frank, Dornberger, Rolf

Enterprise Resource Planning (ERP) systems employ highly integrated business software solutions that have existed for many years. Being the base of the IT application landscape of most enterprises, ERP systems remain fairly commoditized and scarcely leave room for differentiation. In view of the major digital transformations currently taking place, the role of ERP systems needs to be reconsidered. Geoffrey Moore’s concept of “Systems of Engagement” stresses the need for enterprise applications to become more user-oriented in order to support collaboration and to empower employees. Based on this understanding, we developed a model that classifies how ERP systems can evolve depending on its people-centricity focus and its level of integration.

2019, Schneider, Bettina, Asprion, Petra, Grimberg, Frank, Filipe, Joaquim, Smialek, Michal, Brodsky, Alexander, Hammoudi, Slimane

This study indicates the significance of a human-centered perspective in the analysis and interpretation of Real World Data. As an exemplary use-case, the construct of perceived ‘Health-related Quality of Life’ is chosen to show, firstly, the significance of Real World Data and, secondly, the associated ‘Real World Evidence’. We settled on an iterative methodology and used hermeneutics for a detailed literature analysis to outline the relevance and the need for a forward-thinking approach to deal with Real World Evidence in the life science and health care industry. The novelty of the study is its focus on a human-centered artificial intelligence, which can be achieved by using ‘System Dynamics’ modelling techniques. The outcome – a human-centered ‘Indicator Set’ can be combined with results from data-driven, AI-based analytics. With this multidimensional approach, human intelligence and artificial intelligence can be intertwined towards an enriched Real World Evidence. The developed approach considers three perspectives – the elementary, the algorithmic and – as novelty – the human-centered evidence. As conclusion, we claim that Real World Data are more valuable and applicable to achieve patient-centricity and personalization if the human-centered perspective is considered ‘by design’.

2018, Schneider, Bettina, Asprion, Petra, Grimberg, Frank, Shi, Yong, Fu, Haohuan, Tian, Yingjie, Krzhizhanovskaya, Valeria V., Lees, Michael Harold, Dongarra, Jack, Sloot, Peter M. A.

Enterprise Resource Planning Systems (ERPS) have continually extended their scope over the last decades. The evolution has currently reached a stage where ERPS support the entire value chain of an enterprise. This study deals with the rise of a new era, where ERPS is transformed into so-called interconnected Enterprise Systems (iES), which have a strong outside-orientation and provide a networked ecosystem open to human and technological actors (e.g. social media, Internet of Things). Higher education institutions need to prepare their students to understand the shift and to transfer the implications to today’s business world. Based on literature and applied learning scenarios the study shows existing approaches to the use of ERPS in teaching and elaborates whether and how they can still be used. In addition, implications are outlined and the necessary changes towards new teaching approaches for iES are proposed.