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A Patient Simulation Model Based on Decision Tables for Emergency Shocks

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Knowledge Representation for Health Care (AIME 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9485))

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Abstract

Physicians in Intensive Care Units (ICU) have to deal with shocked patients very often. These are critical emergencies that require rapid and precise clinical reactions in order to avoid fatal organ decline and patient’s death. New treatments cannot be checked directly on real patients because of the risks this could imply. For this reason several simulators have been published. These simulators use to be implemented as complex mathematical models and they are oriented to concrete types of shocks or focused on fluid resuscitation. Here, we present a new simulator which is based on decision tables. It is able to simulate the evolution of seven different sorts of shocks when treated with fluid resuscitation and vasoactive agents.

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Notes

  1. 1.

    Clinical actions of the sort infusion are considered continuous. The rest are discrete.

  2. 2.

    The concept long term must be understood in the context of an ICU (few hours).

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Author information

Authors and Affiliations

  1. Research Group on Artificial Intelligence, Universitat Rovira i Virgili, Tarragona, Spain

    Francis Real & David Riaño

  2. Emergency Department, Hospital Clínic de Barcelona, Barcelona, Spain

    José Ramón Alonso

Authors
  1. Francis Real
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  2. David Riaño
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  3. José Ramón Alonso
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Corresponding author

Correspondence to David Riaño .

Editor information

Editors and Affiliations

  1. Universitat Rovira i Virgili, Tarragona, Spain

    David Riaño

  2. University of Erlangen and Nuremberg, Erlangen, Bayern, Germany

    Richard Lenz

  3. Vienna University of Technology, Vienna, Austria

    Silvia Miksch

  4. University of Haifa, Haifa, Israel

    Mor Peleg

  5. Ulm University, Ulm, Germany

    Manfred Reichert

  6. Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Annette ten Teije

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Real, F., Riaño, D., Alonso, J.R. (2015). A Patient Simulation Model Based on Decision Tables for Emergency Shocks. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Knowledge Representation for Health Care. AIME 2015. Lecture Notes in Computer Science(), vol 9485. Springer, Cham. https://doi.org/10.1007/978-3-319-26585-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-26585-8_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26584-1

  • Online ISBN: 978-3-319-26585-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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