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Award ID contains: 2016018

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  1. ; ; ; ; (, Springer, Cham)
    Sifaleras, A; Lin, F (Ed.)
    MedDbriefer is a web based ITS designed to enable healthcare students to do clinical scenarios anytime, anywhere. While one student “voice treats” a scenario’s patient(s) as the leader of a mock Emergency Medical Services (EMS) team, a peer records the team’s actions by using the system’s checklists, on a tablet. When the scenario ends, MedDbriefer analyzes the event log and generates a debriefing. MedDbriefer also provides a platform for research on simulation-based training. This paper describes how the system’s debriefing engine could be extended to deliver feedback during a scenario, as well as afterwards. MedDbriefer could then be used to compare the effectiveness of different ways of timing feedback delivery in computer-based simulation systems. 
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    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Proceedings of the Twenty-third International Conference of the Learning Sciences—ICLS 2023)
    Bilkstein, P.; Van Aaist, J.; Kizito, R.; Brennan, K. (Ed.)
    MedDbriefer allows paramedic students to engage in simulated prehospital emergency care scenarios and receive an automated debriefing on their performance. It is a web-based tool that runs on a tablet. Although debriefing is purported to be one of simulation-based training’s most critical components, there is little empirical research to guide human and automated debriefing. We implemented two approaches to debriefing in MedDbriefer and are conducting a randomized controlled trial to compare their effectiveness. 
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    Accepted Manuscript Full Text Available
  3. ; ; (, Proceedings of the 3rd International Conference on Novel and Intelligent Digital Systems, NIDS 2023)
    Across the healthcare professions, many students don’t get enough practice doing simulated clinical interactions during course labs to feel confident about passing certification exams and treating actual patients. To address this problem, we are developing MedDbriefer, a web-based tutoring system that runs on a tablet. MedDbriefer allows peers to engage in supplemental clinical scenarios on their own. With its current focus on paramedic train-ing, one student “voice treats” a simulated patient as the leader of a mock emergency medical services team while a peer uses MedDbriefer’s check-lists to log the team leader’s verbalized actions. The system then analyzes the event log and generates a debriefing, which highlights errors such as as-sessment actions and treatment interventions that the team leader missed or performed late. This paper focuses on how the system analyzes event logs to generate adaptive debriefings. 
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    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; (, Intelligent Tutoring Systems: 18th International Conference, ITS 2022)
    This poster describes an early-stage project. It introduces MedDbriefer, a tablet-based tool that allows small groups of paramedic students to practice realistic prehospital emergency care scenarios. While two or more students collaborate as members of an emergency medical service (EMS) team, a peer uses the tablet’s checklists to record the team’s actions. The system then analyzes the event log to provide an automated debriefing on the team’s performance. Although debriefing is purported to be one of simulation-based training’s most critical components, there is little research to guide human and automated debriefing. We are imple-menting two approaches to automated debriefing and will compare their effective-ness in an upcoming randomized controlled trial. 
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    Full Text Available