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EN
Business process conceptual modeling focuses on studying process scenarios and mapping workflows as well as analyzing a business actor’s behavior. Taking the process-modeling techniques that have been presented in the literature into account, the author noticed a variety of notations that were applied to the process’s description. In addition, the values in the business-process models and the management-science literature have different interpretations. In this study, the author focused on process-value identification, interpretation, and visualization and aimed to provide literature surveys on process knowledge as well as on process value. However, the academic research background is followed by another qualitative approach to capture process value and emphasize the thoughts of the business actors in a process. Hence, the case-study analysis is supplemented by a literature survey. In this case study (concerning a publishing house), process knowledge was received through interviews with the publishing house’s main editor as well as through a study of discussions that were provided by the editorial committee members. Finally, the potential advantages of the studying of process value and some limitations and challenges for the identification and modeling of value are identified. By examples, the author revealed some values that are realizable in the business process and discussed them, i.e., relevance and rigor in the publishing process. The main contribution concerned identifying and visualizing business-process value through modeling techniques. The author strongly emphasized that, in the research process as well as in the research-result-dissemination process, relevance and rigor as values should be critical. Beyond this, the author presented how goal-modeling notation i* and ArchiMate notation can be combined with e3 value-modeling notation and which consequences arrived from this combination.
EN
Business process management is oriented towards improving processes to best support people, who are working in them. Recent innovations in the area of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and distributed systems have provided opportunities for new technologies applications, including process automation. This paper aims at the pathomorphological diagnosis (PD) process modeling for the ML solution implementation. The research methods cover literature review and PD laboratory case study. Authors proposed the case study approach, because they argue that the PD process requires detailed analysis for its digitalization, automation, and combining with ML applications. Authors presented PD process models in BPMN notation, including laboratory equipment and emphasizing data and ML algorithms which are to be utilized in PD process digitalization for appropriate diagnosis for patients. Authors have found and emphasized that implementation of ML/AI algorithms is strongly based on fundamental process modeling.
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