J Pediatr Intensive Care 2016; 05(03): 122-128
DOI: 10.1055/s-0035-1569998
Review Article
Georg Thieme Verlag KG Stuttgart · New York

Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies

David Brossier
1   Pediatric Intensive Care Unit, Sainte Justine University Health Centre, Montreal, Quebec, Canada
2   Sainte-Justine UHC Research Institute, Sainte Justine University Hospital, Montreal, Canada
,
Michael Sauthier
1   Pediatric Intensive Care Unit, Sainte Justine University Health Centre, Montreal, Quebec, Canada
2   Sainte-Justine UHC Research Institute, Sainte Justine University Hospital, Montreal, Canada
,
Xavier Alacoque
3   Department of Anesthesia, Perioperative and Intensive Care, University Hospital of Toulouse, Toulouse, France
4   Department of Research, INSERM-Paul Sabattier University, Toulouse, France
,
Benoit Masse
2   Sainte-Justine UHC Research Institute, Sainte Justine University Hospital, Montreal, Canada
,
Redha Eltaani
2   Sainte-Justine UHC Research Institute, Sainte Justine University Hospital, Montreal, Canada
,
Bernard Guillois
5   Department of Neonatology, University Hospital of Caen, Caen, France
,
Philippe Jouvet
1   Pediatric Intensive Care Unit, Sainte Justine University Health Centre, Montreal, Quebec, Canada
2   Sainte-Justine UHC Research Institute, Sainte Justine University Hospital, Montreal, Canada
› Author Affiliations
Further Information

Publication History

20 September 2015

08 October 2015

Publication Date:
15 December 2015 (online)

Abstract

As a result of innovations in informatics over the last decades, physiologic models elaborated in the second half of the 20th century could be transformed into specific virtual patients called computational models. These models, developed initially for teaching purposes, are of great potential interest in responding to current concerns about improving patient care and safety. However, even if there are obvious advantages to using computational models in cardiorespiratory management, major concerns persist as to their reliability and their ability to recreate real patient physiologic evolution over time. Once developed, these models require complex validation and configuration phases prior to implementation in daily practice. This article focuses on the development of computational models, and reviews the methodologies to clinically validate the models including specific patient databases (perpetual patients) and the use in clinical practice including very high fidelity simulation.

 
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