NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology

被引:6
|
作者
Zechner, Olivia [1 ,2 ]
Guirao, Daniel Garcia [3 ]
Schrom-Feiertag, Helmut [1 ]
Regal, Georg [1 ]
Uhl, Jakob Carl [1 ,2 ]
Gyllencreutz, Lina [4 ,5 ]
Sjoberg, David [6 ]
Tscheligi, Manfred [2 ]
机构
[1] Austrian Inst Technol, Ctr Technol Experience, A-1210 Vienna, Austria
[2] Univ Salzburg, Dept Artificial Intelligence & Human Interfaces, A-5020 Salzburg, Austria
[3] Energy & Ind 5 0 Div, Energy & Ind Div 50, Seville 41300, Spain
[4] Umea Univ, Dept Nursing, S-90187 Umea, Sweden
[5] Umea Univ, Dept Surg & Perioperat Sci, S-90187 Umea, Sweden
[6] Umea Univ, Police Educ Unit, Umea, Sweden
关键词
mixed reality; immersive technology; VR applications; human-computer interactions; stress; performance; paramedic training; QUALITATIVE CONTENT-ANALYSIS;
D O I
10.3390/mti7120113
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Mixed reality (MR) technology has the potential to enhance the disaster preparedness of medical first responders in mass-casualty incidents through new training methods. In this manuscript, we present an MR training solution based on requirements collected from experienced medical first responders and technical experts, regular end-user feedback received through the iterative design process used to develop a prototype and feedback from two initial field trials. We discuss key features essential for an effective MR training system, including flexible scenario design, added realism through patient simulator manikins and objective performance assessment. Current technological challenges such as the responsiveness of avatars and the complexity of smart scenario control are also addressed, along with the future potential for integrating artificial intelligence. Furthermore, an advanced analytics and statistics tool that incorporates complex data integration, machine learning for data analysis and visualization techniques for performance evaluation is presented.
引用
收藏
页数:21
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