Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings

Research Article

Enhancing the Early Warning Score System Using Data Confidence

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  • @INPROCEEDINGS{10.1007/978-3-319-58877-3_12,
        author={Maximilian G\o{}tzinger and Nima Taherinejad and Amir Rahmani and Pasi Liljeberg and Axel Jantsch and Hannu Tenhunen},
        title={Enhancing the Early Warning Score System Using Data Confidence},
        proceedings={Wireless Mobile Communication and Healthcare. 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings},
        proceedings_a={MOBIHEALTH},
        year={2017},
        month={6},
        keywords={Early Warning Score Self-awareness Data confidence Consistency Plausibility Hierarchical agent-based system},
        doi={10.1007/978-3-319-58877-3_12}
    }
    
  • Maximilian Götzinger
    Nima Taherinejad
    Amir Rahmani
    Pasi Liljeberg
    Axel Jantsch
    Hannu Tenhunen
    Year: 2017
    Enhancing the Early Warning Score System Using Data Confidence
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-319-58877-3_12
Maximilian Götzinger1,*, Nima Taherinejad2,*, Amir Rahmani1,*, Pasi Liljeberg1,*, Axel Jantsch2,*, Hannu Tenhunen1,*
  • 1: University of Turku
  • 2: TU Wien
*Contact email: maxgot@utu.fi, nima.taherinejad@tuwien.ac.at, amirah@utu.fi, pakrli@utu.fi, axel.jantsch@tuwien.ac.at, hannu.tenhunen@utu.fi

Abstract

Early Warning Score (EWS) systems are utilized in hospitals by health-care professionals to interpret vital signals of patients. These scores are used to measure and predict amelioration or deterioration of patients’ health status to intervene in an appropriate manner when needed. Based on an earlier work presenting an automated Internet-of-Things based EWS system, we propose an architecture to analyze and enhance data reliability and consistency. In particular, we present a hierarchical agent-based data confidence evaluation system to detect erroneous or irrelevant vital signal measurements. In our extensive experiments, we demonstrate how our system offers a more robust EWS monitoring system.