Extracorporeal membrane oxygenation simulation-based training: methods, drawbacks and a novel solution

被引:18
作者
Al Disi, Mohammed [1 ]
Alsalemi, Abdullah [1 ]
Alhomsi, Yahya [1 ]
Bensaali, Faycal [1 ]
Amira, Abbes [2 ]
Alinier, Guillaume [3 ,4 ]
机构
[1] Qatar Univ, Dept Elect Engn, POB 2713,West Bay, Doha, Qatar
[2] Qatar Univ, Dept Comp Sci & Engn, Doha, Qatar
[3] Hamad Med Corp, Ambulance Serv, Doha, Qatar
[4] Univ Hertfordshire, Hatfield, Herts, England
来源
PERFUSION-UK | 2019年 / 34卷 / 03期
关键词
ECMO; ECLS; medical simulation; medical training; simulation technology; HIGH-FIDELITY SIMULATION; CRITICAL-CARE; RESUSCITATION; EDUCATION;
D O I
10.1177/0267659118802749
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction: Patients under the error-prone and complication-burdened extracorporeal membrane oxygenation (ECMO) are looked after by a highly trained, multidisciplinary team. Simulation-based training (SBT) affords ECMO centers the opportunity to equip practitioners with the technical dexterity required to manage emergencies. The aim of this article is to review ECMO SBT activities and technology followed by a novel solution to current challenges. ECMO simulation: The commonly-used simulation approach is easy-to-build as it requires a functioning ECMO machine and an altered circuit. Complications are simulated through manual circuit manipulations. However, scenario diversity is limited and often lacks physiological and/or mechanical authenticity. It is also expensive to continuously operate due to the consumption of highly specialized equipment. Technological aid: Commercial extensions can be added to enable remote control and to automate circuit manipulation, but do not improve on the realism or cost-effectiveness. A modular ECMO simulator: To address those drawbacks, we are developing a standalone modular ECMO simulator that employs affordable technology for high-fidelity simulation.
引用
收藏
页码:183 / 194
页数:12
相关论文
共 58 条
[1]  
Al Disi M, 2018, USING THERMOCHROMISM
[2]   Revolutionizing ECMO simulation with affordable yet high-Fidelity technology [J].
Al Disi, Mohammed ;
Alsalemi, Abdullah ;
Alhomsi, Yahya ;
Amira, Abbes ;
Alinier, Guillaume .
AMERICAN JOURNAL OF EMERGENCY MEDICINE, 2018, 36 (07) :1310-1312
[3]  
Aldisi M., 2017, Qatar Medical Journal, V2017, P62, DOI [DOI 10.5339/QMJ.2017.SWACELSO.62, 10.5339/qmj.2017.swacelso.62]
[4]   Addressing the challenges of ECMO simulation [J].
Alinier, Guillaume ;
Hassan, Ibrahim Fawzy ;
Alsalemi, Abdullah ;
Al Disi, Mohammed ;
Hssain, Ali Ait ;
Labib, Ahmed ;
Alhomsi, Yahya ;
Bensaali, Faycal ;
Amira, Abbes ;
Ibrahim, Abdulsalam Saif .
PERFUSION-UK, 2018, 33 (07) :568-576
[5]  
Allen Steve, 2011, J Intensive Care Med, V26, P13, DOI 10.1177/0885066610384061
[6]  
Alsalemi A, 2018, SIMULATION GAMING
[7]  
Alsalemi A, 2017, QATAR MED J, V2017, P63, DOI [10.5339/qmj.2017.swacelso.63, DOI 10.5339/QMJ.2017.SWACELSO.63]
[8]  
Alsalemi A, 2017, 2017 FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ICABME), P139
[9]   Real-Time Communication Network using Firebase Cloud IoT Platform for ECMO Simulation [J].
Alsalemi, Abdullah ;
Alhomsi, Yahya ;
Al Disi, Mohammed ;
Ahmed, Ibrahim ;
Bensaali, Faycal ;
Amira, Abbes ;
Alinier, Guillaume .
2017 IEEE INTERNATIONAL CONFERENCE ON INTERNET OF THINGS (ITHINGS) AND IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) AND IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) AND IEEE SMART DATA (SMARTDATA), 2017, :177-181
[10]  
Anderson JoDee M, 2006, Simul Healthc, V1, P228, DOI 10.1097/01.SIH.0000243551.01521.74