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Towards a Knowledge and Data-Driven Perspective in Medical Processes

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Interactive Process Mining in Healthcare

Part of the book series: Health Informatics ((HI))

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Abstract

Since the emergence of the Evidence-Based Medicine paradigm, the formalization of medical processes is one of the big aims for the standardization of healthcare. In the literature, there are different approaches to the definition of these processes. On one hand, knowledge-based Clinical Decision-Making technologies provide tools for formalizing specialized knowledge as described in clinical guidelines and textbooks, or stated by clinical experts. On the other hand, Clinical Process Management technologies, rely on a data-driven approach that can infer medical processes from data available in healthcare databases. This chapter aims to analyse these two prominent approaches for supporting clinical experts in the representation of medical processes, in search of a solution that takes advantage of both, and towards a new way of building formalized medical processes in a more efficient, precise, and usable way.

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Author information

Authors and Affiliations

  1. Process Mining 4 Health Lab – SABIEN – ITACA Institute, Universitat Politècnica de València, Valencia, Spain

    Carlos Fernandez-Llatas

  2. CLINTEC – Karolinska Institutet, Solna, Sweden

    Carlos Fernandez-Llatas

  3. Department of Computer Engineering and Science, Universitat Jaume I, Castelló de la Plana, Castelló, Spain

    Mar Marcos

Authors
  1. Carlos Fernandez-Llatas
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  2. Mar Marcos
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Correspondence to Carlos Fernandez-Llatas .

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Editors and Affiliations

  1. Process Mining 4 Health Lab – SABIEN – ITACA Institute, Universitat Politècnica de València, Valencia, Spain, CLINTEC – Karolinska Institutet, Sweden

    Carlos Fernandez-Llatas

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Fernandez-Llatas, C., Marcos, M. (2021). Towards a Knowledge and Data-Driven Perspective in Medical Processes. In: Fernandez-Llatas, C. (eds) Interactive Process Mining in Healthcare. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-53993-1_3

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  • DOI: https://doi.org/10.1007/978-3-030-53993-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-53992-4

  • Online ISBN: 978-3-030-53993-1

  • eBook Packages: MedicineMedicine (R0)

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