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Data Quality and Critical Events in Ventilation: An Intensive Care study

Author

Listed:
  • Filipe Portela

    (Universidade do Minho, Braga, Portugal)

  • Manuel Filipe Santos

    (Universidade do Minho, Braga, Portugal)

  • António Abelha

    (Centro de Ciências e Tecnologias de Computação, Universidade do Minho, Braga, Portugal)

  • José Machado

    (Centro de Ciências e Tecnologias de Computação, Universidade do Minho, Braga, Portugal)

  • Fernando Rua

    (Intensive Care Unit, Centro Hospitalar do Porto, Porto, Portugal)

Abstract

The data quality assessment is a critical task in Intensive Care Units (ICUs). In the ICUs the patients are continuously monitored and the values are collected in real-time through data streaming processes. In the case of ventilation, the ventilator is monitoring the patient respiratory system and then a gateway receives the monitored values. This process can collect any values, noise values or values that can have clinical significance, for example, when a patient is having a critical event associated with the respiratory system. In this paper, the critical events concept was applied to the ventilation system, and a quality assessment of the collected data was performed when a new value arrived. Some interesting results were achieved: 56.59% of the events were critical, and 5% of the data collected were noise values. In this field, Average Ventilation Pressure and Peak flow are respectively the variables with the most influence.

Suggested Citation

  • Filipe Portela & Manuel Filipe Santos & António Abelha & José Machado & Fernando Rua, 2017. "Data Quality and Critical Events in Ventilation: An Intensive Care study," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 6(2), pages 40-48, April.
    • Handle: RePEc:igg:jrqeh0:v:6:y:2017:i:2:p:40-48
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