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

Biomedical Engineering Online
J Geoffrey ChaseThomas Desaive

Abstract

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 cohorts are increasingly ill. Equally, patient expectations are growing, while the economic ability to deliver care to all is declining. Better, more productive care is thus the big challenge. One means to that end is personalised care designed to manage the significant inter- and intra-patient variability that makes the ICU patient difficult. Thus, moving from current "one size fits all" protocolised care to adaptive, model-based "one method fits all" personalised care could deliver the required step change in the quality, and simultaneously the productivity and cost, of care. Computer models of human physiology are a unique tool to personalise care, as they can couple clinical data with mathematical methods to create subject-specific models and virtual patients to design new, personalised and more optimal protocols, as well as to guide care in real-time. They rely on identifying time varying patient-specific parameters in the model th...Continue Reading

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Citations

May 16, 2018·Critical Care Medicine·Jean-Charles PreiserDanielle Prevedello
Oct 10, 2019·Pediatric Pulmonology·Kyeong Tae KimJ Geoffrey Chase
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Jul 2, 2020·Medical Devices : Evidence and Research·Athirah Abdul RazakJames Geoffrey Chase
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Nov 14, 2018·Biomedical Engineering Online·Vincent J MajorJ Geoffrey Chase
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May 1, 2020·Biomedical Engineering Online·Vincent UyttendaeleJ Geoffrey Chase
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Aug 27, 2021·Annals of Biomedical Engineering·Jay Wing Wai LeeJ Geoffrey Chase

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BETA
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Padova

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