Issue |
J Extra Corpor Technol
Volume 55, Number 2, June 2023
|
|
---|---|---|
Page(s) | 53 - 59 | |
DOI | https://doi.org/10.1051/ject/2023005 | |
Published online | 28 June 2023 |
Original Article
3D-Printed silicone anatomic patient simulator to enhance training on cardiopulmonary bypass
1
School of Perfusion Technology, Texas Heart Institute, Houston, TX 77030, USA
2
Innovative Device and Engineering Applications (IDEA) Laboratory, Texas Heart Institute, Houston, TX 77030, USA
* Corresponding author: ywang@texasheart.org; scipubs16@texasheart.org
Received:
30
September
2022
Accepted:
2
February
2023
Background: Simulator training is important for teaching perfusion students fundamental skills associated with CBP before they start working in the clinic. Currently available high-fidelity simulators lack anatomic features that would help students visually understand the connection between hemodynamic parameters and anatomic structure. Therefore, a 3D-printed silicone cardiovascular system was developed at our institution. This study aimed to determine whether using this anatomic perfusion simulator instead of a traditional “bucket” simulator would better improve perfusion students’ understanding of cannulation sites, blood flow, and anatomy. Methods: Sixteen students were tested to establish their baseline knowledge. They were randomly divided into two groups to witness a simulated bypass pump run on one of two simulators – anatomic or bucket – then retested. To better analyze the data, we defined “true learning” as characterized by an incorrect answer on the pre-simulation assessment being corrected on the post-simulation assessment. Results: The group that witnessed the simulated pump run on the anatomic simulator showed a larger increase in mean test score, more instances of true learning, and a larger gain in the acuity confidence interval. Conclusions: Despite the small sample size, the results suggest that the anatomic simulator is a valuable instrument for teaching new perfusion students.
Key words: Perfusion / High-fidelity simulation training / Cardiopulmonary bypass / Cardioplegia
© The Author(s), published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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