Data Quality and Critical Events in Ventilation

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.