Abstract
E-Health organisations have seen in these years a rapid growth in the complexity and criticality of the processes they manage. This paper defines an approach for modelling clinical workflows based on Model-Driven principles; in particular the modelling activity is supported by the Dynamic State Machine (DSTM) formalism, that is a well-formed graphical language able to represent state based systems. The main advantage of using such a language resides in obtaining formal models of clinical workflows (whose semantics is strong and precise), with an high level of usability. While the focus of the paper is clearly on modelling, the application of Model-Driven principles allows a tight integration between the control flow of the clinical processes and the information that can be extracted from informal documentation. The approach is shown by applying it to the case study of a real world treatment process of bipolar and mood disorders.
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Acknowledgments
This work was supported by Smart Health 2.0 project, founded by the Italian Initiative "Smart cities and communities and social innovations PON ricerca e competivita AVVISO N. 84/RIC dee 2/03/2013.
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Amato, F. et al. (2015). Towards Model-Driven Assessment of Clinical Processes. In: Damiani, E., Howlett, R., Jain, L., Gallo, L., De Pietro, G. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-19830-9_11
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DOI: https://doi.org/10.1007/978-3-319-19830-9_11
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