Abstract
In this paper, we propose a framework for seamless conceptual modeling of both data and processes, and the seamless integration of temporalities for both clinical data and clinical tasks. Moreover, we apply our approach to model the clinical pathway for managing patients with ROSC (Return Of Spontaneous Circulation) in a real ICU clinical setting.
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© 2015 Springer International Publishing Switzerland
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Combi, C., Oliboni, B., Gabrieli, A. (2015). Conceptual Modeling of Clinical Pathways: Making Data and Processes Connected. In: Holmes, J., Bellazzi, R., Sacchi, L., Peek, N. (eds) Artificial Intelligence in Medicine. AIME 2015. Lecture Notes in Computer Science(), vol 9105. Springer, Cham. https://doi.org/10.1007/978-3-319-19551-3_7
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DOI: https://doi.org/10.1007/978-3-319-19551-3_7
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19550-6
Online ISBN: 978-3-319-19551-3
eBook Packages: Computer ScienceComputer Science (R0)