Digital Twins in Critical Care: What, When, How, Where, Why?

被引：28

作者：

Chase, J. Geoffrey ^{[1
]}

Zhou, Cong ^{[1
]}

Knopp, Jennifer L. ^{[1
]}

Shaw, Geoffrey M. ^{[2
]}

Naswall, Katharina ^{[3
]}

Wong, Jennifer H. K. ^{[3
]}

Malinen, Sanna ^{[4
]}

Moeller, Knut ^{[5
]}

Benyo, Balazs ^{[6
]}

Chiew, Yeong Shiong ^{[7
]}

Desaive, Thomas ^{[8
]}

机构：

[1] Univ Canterbury, Dept Mech Eng, Christchurch, New Zealand

[2] Christchurch Hosp, Dept Intens Care, Christchurch, New Zealand

[3] Univ Canterbury, Sch Psychol Speech & Hearing, Christchurch, New Zealand

[4] Univ Canterbury, Sch Business, Christchurch, New Zealand

[5] Furtwangen Univ, Univ Inst Tech Med, Schwarzwald, Germany

[6] Tech Univ Budapest, Dept Informat Sci, Budapest, Hungary

[7] Monash Univ Malaysia, Kuala Lumpur, Malaysia

[8] Univ Liege, GIGA Silico Med, Liege, Belgium

来源：

IFAC PAPERSONLINE | 2021年 / 54卷 / 15期

关键词：

Digital Twins; ICU; Critical Care; Physiological Modeling; Virtual Patient; Virtual Cohort; VIRTUAL PHYSIOLOGICAL HUMAN; TIGHT GLYCEMIC CONTROL; MODEL-BASED INSULIN; HEALTH-CARE; CRITICAL ILLNESS; INFORMATION; INTEROPERABILITY; TECHNOLOGIES; VARIABILITY; BARRIERS;

D O I：

10.1016/j.ifacol.2021.10.274

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2021 The Authors.

引用

页码：310 / 315

页数：6

共 83 条

[1]

[Anonymous], 2011, ECONOMIST

[2]

[Anonymous], 2015, FOC HLTH SPEND OECD

[3] Relationships of power: implications for interprofessional education [J].

Baker, Lindsay ;

Egan-Lee, Eileen ;

Martimianakis, Maria Athina ;

Reeves, Scott .

JOURNAL OF INTERPROFESSIONAL CARE, 2011, 25 (02) :98-104

[4]

Baumol W., 2012, COST DIS WHY COMPUTE

[5] Space GlucoseControl system for blood glucose control in intensive care patients - a European multicentre observational study [J].

Blaha, Jan ;

Barteczko-Grajek, Barbara ;

Berezowicz, Pawel ;

Charvat, Jiri ;

Chvojka, Jiri ;

Grau, Teodoro ;

Holmgren, Jonathan ;

Jaschinski, Ulrich ;

Kopecky, Petr ;

Manak, Jan ;

Moehl, Mette ;

Paddle, Jonathan ;

Pasculli, Marcello ;

Petersson, Johan ;

Petros, Sirak ;

Radrizzani, Danilo ;

Singh, Vinodkumar ;

Starkopf, Joel .

BMC ANESTHESIOLOGY, 2016, 16

[6]

Chase J., 2016, ANN UPDATE INTENSIVE, P435

[7] Glycemic control in the intensive care unit: A control systems perspective [J].

Chase, J. Geoffrey ;

Benyo, Balazs ;

Desaive, Thomas .

ANNUAL REVIEWS IN CONTROL, 2019, 48 :359-368

[8] Improving glycemic control in critically ill patients: personalized care to mimic the endocrine pancreas [J].

Chase, J. Geoffrey ;

Desaive, Thomas ;

Bohe, Julien ;

Cnop, Miriam ;

De Block, Christophe ;

Gunst, Jan ;

Hovorka, Roman ;

Kalfon, Pierre ;

Krinsley, James ;

Renard, Eric ;

Preiser, Jean-Charles .

CRITICAL CARE, 2018, 22

[9] 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 [J].

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 .

BIOMEDICAL ENGINEERING ONLINE, 2018, 17

[10] Physiological modeling, tight glycemic control, and the ICU clinician: what are models and how can they affect practice? [J].

Chase, J. Geoffrey ;

Le Compte, Aaron J. ;

Preiser, J-C ;

Shaw, Geoffrey M. ;

Penning, Sophie ;

Desaive, Thomas .

ANNALS OF INTENSIVE CARE, 2011, 1

← 1 2 3 4 5 6 7 8 9 →