Sebastian Meszynski, Małgorzata CZAJKOWSKA-MALINOWSKA, Oleksandr Sokolov, Oleksii Sokolov
{"title":"Virtual Learning Environment for Respiratory Support: A Simulation-Based Approach to Asynchronous Recognition and Correction of Ventilation Issues","authors":"Sebastian Meszynski, Małgorzata CZAJKOWSKA-MALINOWSKA, Oleksandr Sokolov, Oleksii Sokolov","doi":"10.5171/2024.794115","DOIUrl":null,"url":null,"abstract":"The widespread utilization of medical ventilators, particularly during the COVID-19 pandemic, underscores the critical need for effective training in respiratory care. This paper introduces a web-based e-learning platform designed to simulate the complexities of mechanical ventilation systems, focusing on pressure mode control. The platform incorporates models representing various ventilation types, allowing users to manipulate crucial parameters such as IPAP (Inspiratory Positive Airway Pressure), EPAP (Expiratory Positive Airway Pressure), Ti (Inspiration Time), and BR (Breath Rate). By offering a realistic training environment, this system not only addresses the increasing demand for healthcare professional education but also facilitates effective monitoring and assessment of students’ progress by educators.","PeriodicalId":187676,"journal":{"name":"Communications of the IBIMA","volume":"61 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications of the IBIMA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5171/2024.794115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The widespread utilization of medical ventilators, particularly during the COVID-19 pandemic, underscores the critical need for effective training in respiratory care. This paper introduces a web-based e-learning platform designed to simulate the complexities of mechanical ventilation systems, focusing on pressure mode control. The platform incorporates models representing various ventilation types, allowing users to manipulate crucial parameters such as IPAP (Inspiratory Positive Airway Pressure), EPAP (Expiratory Positive Airway Pressure), Ti (Inspiration Time), and BR (Breath Rate). By offering a realistic training environment, this system not only addresses the increasing demand for healthcare professional education but also facilitates effective monitoring and assessment of students’ progress by educators.