Digital twins in critical care: what, when, how, where, why?

J. Geoffrey Chase; Cong Zhou; Jennifer L. Knopp; Geoffrey M. Shaw; Katharina Näswall; Jennifer H.K. Wong; Sanna Malinen; Knut Moeller; Balazs Benyo; Yeong Shiong Chiew; Thomas Desaive

doi:10.1016/j.ifacol.2021.10.274

Digital twins in critical care: what, when, how, where, why?

J. Geoffrey Chase, Cong Zhou, Jennifer L. Knopp, Geoffrey M. Shaw, Katharina Näswall, Jennifer H.K. Wong, Sanna Malinen, Knut Moeller, Balazs Benyo, Yeong Shiong Chiew, Thomas Desaive

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

36 Citations (Scopus)

Abstract

Healthcare and intensive care unit (ICU) medicine in particular, are facing a devastating tsunami of rising demand multiplied by increasing chronic disease and aging demographics, which is unmatched by society's ability to pay. Digital technologies and automation have brought significant productivity gains to many industries, and manufacturing in particular, but not yet to medicine. In manufacturing, digital twins, model-based optimisation of manufacturing systems and equipment, are a rapidly growing means of further enhancing productivity and quality. This concept intersects well with the model-based decision support and control just beginning to emerge into clinical use, offering the opportunity to personalise care, and improve its quality and productivity. This article presents digital twins in a manufacturing concept and translates it into clinical practice, and then reviews the state of the art in key areas of ICU medicine.

Original language	English
Title of host publication	11th IFAC Symposium on Biological and Medical Systems BMS 2021
Publisher	Elsevier - International Federation of Automatic Control (IFAC)
Pages	310-315
Number of pages	6
Volume	54
Edition	15
DOIs	https://doi.org/10.1016/j.ifacol.2021.10.274
Publication status	Published - 2021
Event	IFAC Symposium on Biological and Medical Systems 2021 - Ghent, Belgium Duration: 19 Sept 2021 → 22 Sept 2021 Conference number: 11th https://www.sciencedirect.com/journal/ifac-papersonline/vol/54/issue/15 (Proceedings)

Publication series

Name	IFAC-PapersOnLine
Publisher	Elsevier - International Federation of Automatic Control (IFAC)
ISSN (Print)	2405-8963

Conference

Conference	IFAC Symposium on Biological and Medical Systems 2021
Abbreviated title	BMS 2021
Country/Territory	Belgium
City	Ghent
Period	19/09/21 → 22/09/21
Internet address	https://www.sciencedirect.com/journal/ifac-papersonline/vol/54/issue/15 (Proceedings)

Keywords

Critical Care
Digital Twins
ICU
Physiological Modeling
Virtual Cohort
Virtual Patient

Access to Document

10.1016/j.ifacol.2021.10.274

Cite this

Geoffrey Chase, J., Zhou, C., Knopp, J. L., Shaw, G. M., Näswall, K., Wong, J. H. K., Malinen, S., Moeller, K., Benyo, B., Chiew, Y. S., & Desaive, T. (2021). Digital twins in critical care: what, when, how, where, why? In 11th IFAC Symposium on Biological and Medical Systems BMS 2021 (15 ed., Vol. 54, pp. 310-315). (IFAC-PapersOnLine). Elsevier - International Federation of Automatic Control (IFAC). https://doi.org/10.1016/j.ifacol.2021.10.274

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title = "Digital twins in critical care: what, when, how, where, why?",

abstract = "Healthcare and intensive care unit (ICU) medicine in particular, are facing a devastating tsunami of rising demand multiplied by increasing chronic disease and aging demographics, which is unmatched by society's ability to pay. Digital technologies and automation have brought significant productivity gains to many industries, and manufacturing in particular, but not yet to medicine. In manufacturing, digital twins, model-based optimisation of manufacturing systems and equipment, are a rapidly growing means of further enhancing productivity and quality. This concept intersects well with the model-based decision support and control just beginning to emerge into clinical use, offering the opportunity to personalise care, and improve its quality and productivity. This article presents digital twins in a manufacturing concept and translates it into clinical practice, and then reviews the state of the art in key areas of ICU medicine.",

keywords = "Critical Care, Digital Twins, ICU, Physiological Modeling, Virtual Cohort, Virtual Patient",

author = "{Geoffrey Chase}, J. and Cong Zhou and Knopp, {Jennifer L.} and Shaw, {Geoffrey M.} and Katharina N{\"a}swall and Wong, {Jennifer H.K.} and Sanna Malinen and Knut Moeller and Balazs Benyo and Chiew, {Yeong Shiong} and Thomas Desaive",

note = "Publisher Copyright: {\textcopyright} 2021 The Authors.; IFAC Symposium on Biological and Medical Systems 2021, BMS 2021 ; Conference date: 19-09-2021 Through 22-09-2021",

year = "2021",

doi = "10.1016/j.ifacol.2021.10.274",

language = "English",

volume = "54",

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publisher = "Elsevier - International Federation of Automatic Control (IFAC)",

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Geoffrey Chase, J, Zhou, C, Knopp, JL, Shaw, GM, Näswall, K, Wong, JHK, Malinen, S, Moeller, K, Benyo, B, Chiew, YS & Desaive, T 2021, Digital twins in critical care: what, when, how, where, why? in 11th IFAC Symposium on Biological and Medical Systems BMS 2021. 15 edn, vol. 54, IFAC-PapersOnLine, Elsevier - International Federation of Automatic Control (IFAC), pp. 310-315, IFAC Symposium on Biological and Medical Systems 2021, Ghent, Belgium, 19/09/21. https://doi.org/10.1016/j.ifacol.2021.10.274

Digital twins in critical care: what, when, how, where, why? / Geoffrey Chase, J.; Zhou, Cong; Knopp, Jennifer L. et al.
11th IFAC Symposium on Biological and Medical Systems BMS 2021. Vol. 54 15. ed. Elsevier - International Federation of Automatic Control (IFAC), 2021. p. 310-315 (IFAC-PapersOnLine).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Digital twins in critical care

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AU - Geoffrey Chase, J.

AU - Zhou, Cong

AU - Knopp, Jennifer L.

AU - Shaw, Geoffrey M.

AU - Näswall, Katharina

AU - Wong, Jennifer H.K.

AU - Malinen, Sanna

AU - Moeller, Knut

AU - Benyo, Balazs

AU - Chiew, Yeong Shiong

AU - Desaive, Thomas

N1 - Conference code: 11th

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AB - Healthcare and intensive care unit (ICU) medicine in particular, are facing a devastating tsunami of rising demand multiplied by increasing chronic disease and aging demographics, which is unmatched by society's ability to pay. Digital technologies and automation have brought significant productivity gains to many industries, and manufacturing in particular, but not yet to medicine. In manufacturing, digital twins, model-based optimisation of manufacturing systems and equipment, are a rapidly growing means of further enhancing productivity and quality. This concept intersects well with the model-based decision support and control just beginning to emerge into clinical use, offering the opportunity to personalise care, and improve its quality and productivity. This article presents digital twins in a manufacturing concept and translates it into clinical practice, and then reviews the state of the art in key areas of ICU medicine.

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KW - ICU

KW - Physiological Modeling

KW - Virtual Cohort

KW - Virtual Patient

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DO - 10.1016/j.ifacol.2021.10.274

M3 - Conference Paper

AN - SCOPUS:85120708190

VL - 54

T3 - IFAC-PapersOnLine

SP - 310

EP - 315

BT - 11th IFAC Symposium on Biological and Medical Systems BMS 2021

PB - Elsevier - International Federation of Automatic Control (IFAC)

Y2 - 19 September 2021 through 22 September 2021

ER -

Digital twins in critical care: what, when, how, where, why?

Abstract

Publication series

Conference

Keywords

Access to Document

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