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AuthorAl Disi, Mohammed
AuthorAlsalemi, Abdullah
AuthorAlhomsi, Yahya
AuthorBensaali, Faycal
AuthorAmira, Abbes
AuthorAlinier, Guillaume
Available date2022-12-29T07:34:42Z
Publication Date2018
Publication NameAmerican Journal of Emergency Medicine
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.ajem.2017.11.036
URIhttp://hdl.handle.net/10576/37809
AbstractSimulation-based training (SBT) is becoming a necessity in educating healthcare professionals who work in high-risk environments, such as the intensive care unit (ICU) [1]. This applies to extracorporeal membrane oxygenation (ECMO), a complication-burdened life support ICU modality employed to treat patients with circulatory and/or respiratory failure. Additionally, ECMO can quickly restore perfusion, and hence, used in the pre-hospital or emergency setting as an extracorporeal cardiopulmonary resuscitation (E-CPR) strategy or to maintain donors' organs after circulatory death [2], [3]. Different ECMO simulation models have been reported in the literature. It ranges from simple mannequin and circuit modification with manual control [3], [4], to hydraulically capable, remotely controlled mannequins [5], [6], and high-fidelity simulators [7]. However, the common factor in the incumbent practices is the reliance on a functioning ECMO console and circuit components, which introduces a colossal cost barrier and requires active spending to replace ECMO consumables [8]. Reliance of such specialized and potentially scarce pieces of equipment also significantly reduces training opportunities. Furthermore, attempts to improve the simulation paradigm are faced with ever-increasing technical difficulties. For example, basic objectives such as controlling the displayed circuit pressures require creating a sophisticated hydraulic model. It becomes even more problematic when considering higher level objectives such as simulating blood oxygenation color differentials, or remotely controlling blood gas parameters, displayed on in-line monitors. Hence, there is a need for lower cost, high-fidelity simulation systems with more customization capabilities that meet the expectations and increasing demand for ECMO therapy [9].
SponsorThis publication was made possible by UREP grant #19-062-2-026 from the Qatar national research fund (a member of Qatar foundation). The statements made herein are solely the responsibility of the authors.
Languageen
PublisherElsevier
SubjectAnd modularity
ECMO simulation
Extracorporeal membrane oxygenation (ECMO)
Physical Fidelity
Simulation-based training (SBT)
Thermochromic ink
TitleRevolutionizing ECMO simulation with affordable yet high-Fidelity technology
TypeOther
Pagination1310-1312
Issue Number7
Volume Number36
dc.accessType Abstract Only


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