Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them

• Published in: Biomedical engineering online Vol. 17; no. 1; pp. 24 - 29
• Main Authors: Chase, J. Geoffrey, Preiser, Jean-Charles, Dickson, Jennifer L., Pironet, Antoine, Chiew, Yeong Shiong, Pretty, Christopher G., Shaw, Geoffrey M., Benyo, Balazs, Moeller, Knut, Safaei, Soroush, Tawhai, Merryn, Hunter, Peter, Desaive, Thomas
• Format: Journal Article Web Resource
• Language: English
• Published: England BioMed Central Ltd 20.02.2018; BioMed Central; BMC
• Subjects: Analysis; Anesthesia & intensive care; Anesthésie & soins intensifs; Care and treatment; Cohort Studies; Computer Simulation; Critical Care - methods; Critical care medicine; Different protocols; Health aspects; Hospital patients; Human health sciences; Humans; Intensive care units; Mathematical method; Mechanical ventilation; Medical computing; Medicine; Models, Biological; Patient care; Patient specific parameters; Patient treatment; Physiological Phenomena; Physiology; Precision Medicine - methods; Review; Sciences de la santé humaine; Services; State-of-the art reviews; Subject specific models; Ventilation; Virtual patient models; Virtual reality

Critical care, like many healthcare areas, is under a dual assault from significantly increasing demographic and economic pressures. Intensive care unit (ICU) patients are highly variable in response to treatment, and increasingly aging populations mean ICUs are under increasing demand and their coh...