Risk-aware Business Process Management (R-BPM) has been addressed in research since more than a decade. However, the integration of the two independent research streams is still ongoing with a lack of research focusing on the conceptual modeling perspective. Such an integration results in an increased meta-model complexity and a higher entry barrier for modelers in creating conceptual models and for addressees of the models in comprehending them. Multi-view modeling can reduce this complexity by providing multiple interdependent viewpoints that, all together, represent a complex system. Each viewpoint only covers those concepts that are necessary to separate the different concerns of stakeholders. However, adopting multi-view modeling discloses a number of challenges particularly related to managing consistency which is threatened by semantic and syntactic overlaps between the viewpoints. Moreover, usability and efficiency of multi-view modeling have never been systematically evaluated. This paper reports on the conceptualization, implementation, and empirical evaluation of e-BPRIM, a multi-view modeling extension of the Business Process-Risk Management-Integrated Method (BPRIM). The findings of our research contribute to theory by showing, that multi-view modeling outperforms diagram-oriented modeling by means of usability and efficiency of modeling, and quality of models. Moreover, the developed modeling tool is openly available, allowing its adoption and use in R-BPM practice. Eventually, the detailed presentation of the conceptualization serves as a blueprint for other researchers aiming to harness multi-view modeling.
Performing risk management in healthcare facilities is particularly difficult due to the highly dynamic, complex, and multi-disciplinary nature of healthcare processes like the Medication Use Process (MUP). Risk-aware Business Process Management (R-BPM) is a promising approach to obtain a better understanding of such processes by identifying and analyzing corresponding risks. However, not all R-BPM approaches perform well in capturing the complexity of clinical processes. In this work, we introduce a new R-BPM framework called BPRIM that allows the identification and the analysis of medication error risks related to the complex medication use process. BPRIM is implemented using the ADOxx meta-modelling platform and then tested in a real case study. The tool is specific to the case study, but the framework can be used also in other healthcare processes.
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