The aim of this observational study is to test the IntelliLung decision support system based on artificial intelligence. This system is intended to help to set the ventilator. The study includes patients with and without ARDS (acute respiratory distress syndrome) who are receiving invasive mechanical ventilation, as well as patients with additional extracorporeal lung support. The study will be conducted in several centers. The main question of the study: How well do the mechanical ventilation settings of healthcare staff match the recommendations of the IntelliLung system?
Study Type
OBSERVATIONAL
Enrollment
530
The device is intended for monitoring and recommending ventilator settings, ventilation mode to qualified Intensive Care Unit (ICU) health care professionals (HCP). This is for medical indications that require invasive mechanical ventilation of the respiratory system in the ICU under international / EU guidelines. The device receives clinical data via the ICU's data integration platform that includes patient physical and demographic data as well as current vital signs, ventilation parameters, blood gas analysis, general blood laboratory reports, fluid balance and medication. Prediction models based on artificial intelligence algorithms are used to deduce therapy suggestions from received data. The algorithm is carried out on a secured cloud platform.
Department of Anesthesiology and Intensive Care Medicine, Pulmonary Engineering Group, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany
Dresden, Germany
RECRUITINGDipartimento di Scienze Chirurgiche e Diagnostiche Integrate, University of Genoa, Genoa, Italy
Genova, Italy
NOT_YET_RECRUITINGDepartment of Anaesthesiology and Intensive Care, National Medical Institute of the Ministry of Interior and Administration, Warsaw, Poland
Warsaw, Poland
RECRUITINGDepartment of Intensive Care Medicine. Hospital Universitario de La Princesa. Universidad Autonoma de Madrid, Madrid, Spain
Madrid, Spain
NOT_YET_RECRUITINGCritical Care Department, Parc Taulí Hospital Universitari, Institut d'Investigació I Innovació Parc Taulí (I3PT-CERCA), Sabadell, Spain
Sabadell, Spain
RECRUITINGRelative time of same device settings of healthcare provider and IntelliLung AI-DSS related to the total IntelliLung AI-DSS running time
Time frame: From enrollment to discharge from the intensive care unit or successful weaning from the ventilator, assessed up to 180 days
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