In this master’s thesis, we developed and evaluated a prototype of a digital solution called
Triage Trainer, designed to simulate triage procedures in healthcare. The research addresses the need for effective training of healthcare professionals in making critical decisions under
resource constraints, which directly affects patient care quality and the resilience of healthcare systems.
The methodological framework combines technical design with a qualitative evaluation of user experience. The prototype was created in Figma, featuring interactive scenarios and user flows that reflect real-world constraints of emergency settings. To assess usability and acceptance, seven semi-structured interviews were conducted with healthcare professionals. The collected data were analyzed using content coding, complemented by frequency analysis, providing both qualitative depth and quantitative insight into user perceptions.
The results indicate that the prototype is perceived as clear, intuitive, and educationally
valuable. Participants highlighted advantages such as practicing ethically demanding decisions, building confidence, and bridging theoretical knowledge with practice. Reported shortcomings included a lack of contextual information, insufficient feedback mechanisms, and missing patient data such as age. Overall, 49.4% of responses were positive, 25.8% negative, and 24.7% neutral, confirming a generally favourable user perception.
Based on these findings, we conclude that Triage Trainer has significant potential for further
development and integration into medical education curricula. The study confirms the relevance of TAM and UTAUT models for analyzing technology acceptance in healthcare education and provides a solid foundation for refining the prototype and preparing it for future implementation in pedagogical practice.
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