Evaluation of Digitally Enhanced Simulation Exercises of Mass Casualty Incidents (bibtex)
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Abstract:
Fortunately, Mass-Casualty Incidents (MCIs) occur only rarely. In such large-scale incidents, we trust Emergency Medical Services (EMS) to act quickly and correctly. But even for experienced members of EMS, it is an exceptional situation and has to be trained intensively. The highest learning success, however, can be achieved not only by performing exercises but with proper assessment and feedback of the achieved performance. This thesis develops an initial solution of the evaluation of digitally enhanced simulation exercises of MCIs. For this purpose, I first elaborate requirements on the desired system. I go through the steps of the requirements engineering process in detail and apply them to the specific problem. As a result of the requirements analysis, I develop prototypes in the second part of this thesis. The prototypes are evaluated qualitatively and quantitatively and tested for feasibility with the Django REST framework. This work focuses on supporting the visual part of the evaluation (in the following only referred to as 'evaluation' for simplicity), which is very elaborate for exercise trainers. The responsibility for the oral part remains with the exercise trainers, who already have experience in conducting exercise evaluation. The result of this thesis is a concept of a digitally enhanced evaluation of MCI exercises that satisfies stakeholder requirements and is implementable in a digitally enhanced exercise developed in a student project.
Reference:
Evaluation of Digitally Enhanced Simulation Exercises of Mass Casualty Incidents (Patricia Sowa), Bachelor's thesis, Hasso-Plattner-Institut für Digital Engineering, Universität Potsdam, 2021. (Bachelor Thesis)
Bibtex Entry:
@BachelorsThesis{Sowa2021,
AUTHOR = {Sowa, Patricia},
TITLE = {{Evaluation of Digitally Enhanced Simulation Exercises of Mass Casualty Incidents}},
YEAR = {2021},
ADDRESS = {Potsdam},
SCHOOL = {Hasso-Plattner-Institut für Digital Engineering, Universität Potsdam},
ABSTRACT = {Fortunately, Mass-Casualty Incidents (MCIs) occur only rarely. In such large-scale incidents, we trust Emergency Medical Services (EMS) to act quickly and correctly. But even for experienced members of EMS, it is an exceptional situation and has to be trained intensively. The highest learning success, however, can be achieved not only by performing exercises but with proper assessment and feedback of the achieved performance. This thesis develops an initial solution of the evaluation of digitally enhanced simulation exercises of MCIs. For this purpose, I first elaborate requirements on the desired system. I go through the steps of the requirements engineering process in detail and apply them to the specific problem. As a result of the requirements analysis, I develop prototypes in the second part of this thesis. The prototypes are evaluated qualitatively and quantitatively and tested for feasibility with the Django REST framework. This work focuses on supporting the visual part of the evaluation (in the following only referred to as 'evaluation' for simplicity), which is very elaborate for exercise trainers. The responsibility for the oral part remains with the exercise trainers, who already have experience in conducting exercise evaluation. The result of this thesis is a concept of a digitally enhanced evaluation of MCI exercises that satisfies stakeholder requirements and is implementable in a digitally enhanced exercise developed in a student project.},
NOTE = {Bachelor Thesis},
TYPE = {Bachelorthesis},
ANNOTE = {LANGUAGE : English  }
}
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