Abstract
The paper summarizes our experience from the application of the ideas of MMABP methodology in the field of Healthcare. MMABP is focused on modeling business (i.e. human-centered) systems with informatics methods, it strongly distinguishes between the ontology of the domain and goal-driven processes in the domain. This difference between causality and intentionality plays an important role especially in the healthcare domain as an essential difference between the disease causality and clinical processes. In the paper we explain the basic principles of the methodology and used models focusing on lifecycle and process models, describe the way of using MMABP in healthcare domain and introduce the concepts of disease causality and clinical processes as well as their essential relationships from the methodology point of view. With use of the practical example we discuss an essential difference between causal and intentional models together with their role in the healthcare domain.
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The work presented in this paper was processed with financial contribution of long term institutional support of research activities by Faculty of Informatics and Statistics, University of Economics, Prague.
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Řepa, V. (2019). Information Models of Dynamics in Healthcare. In: Pietka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technology in Biomedicine. ITIB 2019. Advances in Intelligent Systems and Computing, vol 1011. Springer, Cham. https://doi.org/10.1007/978-3-030-23762-2_12
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DOI: https://doi.org/10.1007/978-3-030-23762-2_12
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