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Towards an Integration of Workflows and Clinical Guidelines: A Case Study

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Advances in Artificial Intelligence - IBERAMIA 2016 (IBERAMIA 2016)

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Abstract

The integration of workflows and guidelines modeling healthcare processes is a hot topic of research in Artificial Intelligence in Medicine, and is likely to provide a major advance in the IT support to healthcare [1]. In this position paper, we use a case study in order to identify commonalities and differences between workflows and guidelines. As a result of the analysis, we argue in favor of an integrated architecture in which workflow and guideline models are independently managed and supported, while integration is obtained through a mapping onto a system-internal format, where traditional AI-style inferential capabilities are supported.

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Author information

Authors and Affiliations

  1. DISIT – Universita’ del Piemonte Orientale “Amedeo Avogadro”, Viale Teresa Michel 11, 15121, Alessandria, Italy

    Paolo Terenziani

  2. Dipartimento di Scienze della Sanità Pubblica e Pediatriche, Univ. di Torino, Turin, Italy

    Salvatore Femiano

Authors
  1. Paolo Terenziani
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  2. Salvatore Femiano
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Corresponding author

Correspondence to Paolo Terenziani .

Editor information

Editors and Affiliations

  1. INAOE , Tonantzintla, Mexico

    Manuel Montes y Gómez

  2. Astrofisica Optica y Electronica, INAOE , Puebla, Mexico

    Hugo Jair Escalante

  3. Universidad Nacional de Costa Rica , Heredia, Costa Rica

    Alberto Segura

  4. Universidad Nacional de Costa Rica , Heredia, Costa Rica

    Juan de Dios Murillo

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Terenziani, P., Femiano, S. (2016). Towards an Integration of Workflows and Clinical Guidelines: A Case Study. In: Montes y Gómez, M., Escalante, H., Segura, A., Murillo, J. (eds) Advances in Artificial Intelligence - IBERAMIA 2016. IBERAMIA 2016. Lecture Notes in Computer Science(), vol 10022. Springer, Cham. https://doi.org/10.1007/978-3-319-47955-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-47955-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47954-5

  • Online ISBN: 978-3-319-47955-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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