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Incorporating Augmented Reality Patients Into Online Trauma Training to Support Mental Model Development: An Experimental Study.

Simul Healthc

December 2024

From the School of Health and Rehabilitation Sciences (L.M., E.S.P.), College of Medicine, The Ohio State University, Columbus, OH; Unveil, LLC (C.S., L.G.M.), Cincinnati, OH; Department of Emergency Medicine (C.E.S.M.), College of Medicine, The Ohio State University, Columbus, OH; and Department of Integrated Systems Engineering (T.T.A.), College of Engineering, The Ohio State University, Columbus, OH.

Introduction: Medical students find translating lessons from traditional lectures to caring for trauma patients challenging. We assess whether adding video-based virtual flashcards and videos of augmented reality-based trauma patients in an online learning environment improves performance.

Methods: We performed a between-subject experimental study.

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Resilient system performance in high-stakes settings, which includes the ability to monitor, respond, anticipate, and learn, can be enhanced for trainees through simulation of realistic scenarios enhanced by augmented reality. Active learning strategies can enhance simulation-based training, particularly the mental model articulation principle where students are prompted to anticipate what will happen next and the reflection principle where students self-assess their performance compared to a gold standard expert model. In this paper, we compared simulation-based training for trauma care with and without active learning strategies during pauses in the simulated action for progressively deteriorating patients.

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Forty years (1980-2019) of reanalysis data were used to investigate climatology and trends of heat stress in the Caribbean region. Represented via the Universal Thermal Climate Index (UTCI), a multivariate thermophysiological-relevant parameter, the highest heat stress is found to be most frequent and geographically widespread during the rainy season (August, September, and October). UTCI trends indicate an increase of more than 0.

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EEG Connectivity in ADHD Compared to a Normative Database: A Cohort Analysis of 120 Subjects from the ICAN Study.

Appl Psychophysiol Biofeedback

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Department of Psychiatry and Behavioral Health, Ohio State University, Nisonger Center, Columbus, USA.

This study explores how EEG connectivity measures in children with ADHD ages 7-10 (n = 140) differ from an age-matched nonclinical database. We differentiated connectivity in networks, Brodmann area pairs, and frequencies. Subjects were in the International Collaborative ADHD Neurofeedback study, which explored neurofeedback for ADHD.

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Objective: Reduce nurse response time for emergency and high-priority alarms by increasing discriminability between emergency and all other alarms and suppressing redundant and likely false high-priority alarms in a secondary alarm notification system (SANS).

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