Glycemic control in the intensive care unit: A control systems perspective

Control systems; Critical care; Dynamic systems modelling; Glycemic control; ICU; Identifiability; Intensive care; System identification; Automation; Identification (control systems); Productivity; Religious buildings; Systems modelling; Intensive care units

Abstract :

[en] Computers and automation have revolutionised quality and productivity in many industries, but not in medicine. Healthcare costs are thus growing beyond the ability of society to pay for them, multiplied by the impact of increasingly aging populations, and specifically in the demand placed on intensive care unit (ICU) services. Glycemic control is a core ICU therapy with the potential to reduce both mortality and cost, which makes it an area where greater personalisation and automation could play a leading role in improving productivity and care. This review presents the background to the problem and the main issues arising in this area of care from a control systems technology perspective. It then presents a vision of a more automated future with specific goals in the areas of dynamic systems modeling, system identification and control. These areas are then given a state of the art review, mixing both medicine and control systems perspectives. It is concluded by specific recommendations for the field, where control systems expertise can be leveraged to best advantage. © 2019 Elsevier Ltd

Disciplines :

Anesthesia & intensive care

Author, co-author :

Chase, J. G.; Mechanical Engineering, Centre of Bio-Engineering, University of Canterbury, Christchurch, New Zealand

Benyo, B.; Department of Control Engineering and Information Technology, Budapest University of Technology and EconomicsBudapest, Hungary

Desaive, Thomas ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles

Language :

English

Title :

Glycemic control in the intensive care unit: A control systems perspective

Publication date :

2019

Journal title :

Annual Reviews in Control

ISSN :

1367-5788

Publisher :

Elsevier Ltd

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 24 May 2019

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66 (3 by ULiège)

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236 (2 by ULiège)

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Bibliography

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