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Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis

Examining Nonverbal Communication in Dyadic Interactions With Virtual Humans Using an Integrated Coding System: Mixed Methods Analysis

We conducted a secondary analysis from the intervention arm of a randomized controlled trial (n=210 medical students and 840 video recordings of interactions) of a communication simulation using virtual humans.

Analay Perez, Rae Sakakibara, Srikar Baireddy, Michael D Fetters, Timothy C Guetterman

JMIR Form Res 2025;9:e59328

Analyzing Disparity in Geographical Accessibility to Home Medical Care Using a Claims Database and Geographical Information System: Simulation Study

Analyzing Disparity in Geographical Accessibility to Home Medical Care Using a Claims Database and Geographical Information System: Simulation Study

This methodology enables the simulation of accessibility, reflecting the actual geographical distribution of potential patients. Thereafter, based on the patient allocations, hypothetical patient points were created on randomly determined points within the allocated meshes on Arc GIS using the “Create Random Points” function. Subsequently, travel time from the patients to the hospitals or clinics was analyzed using the “Find Closest Facilities” function of Arc GIS for the 2 scenarios, respectively.

Yasuhiro Morii, Yasuhiro Nakanishi, Yuichi Nishioka, Yukio Tsugihashi, Tatsuya Noda, Tomoya Myojin, Tomoaki Imamura, Manabu Akahane

JMIR Aging 2025;8:e70040

Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

Effectiveness of a Web-Based Virtual Simulation to Train Nursing Students in Suicide Risk Assessment: Randomized Controlled Investigation

By contrast, simulation with fully autonomous virtual patients allows perfect standardization of the environment, a potentially infinite number of learners for one simulation, and remote learning. Randomized controlled studies of the pedagogical efficiency of virtual simulation (VS) targeting suicide risk are scarce.

Paul Roux, Yujiro Okuya, Cristina Morel, Mariane Soulès, Hugo Bottemanne, Eric Brunet-Gouet, Solène Frileux, Christine Passerieux, Nadia Younes, Jean Claude Martin

JMIR Serious Games 2025;13:e69347

Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model

Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model

Police and coroner report narratives were combined into a single field in order to use the information available in both narratives (with the exception of the LE narrative–only simulation). Next, the analysis turned to creating simulated data. First, a test set on which the model outputs were to be evaluated was randomly selected. The test set consisted of a random sample of 30% of each outcome’s records, which was then held out from any selection into the training data.

Susan T Parker

JMIR AI 2025;4:e68212

Development of a Serious Game to Simulate Neonatal Intensive Care Unit Experiences: Collaborative Quasi-Experimental Study

Development of a Serious Game to Simulate Neonatal Intensive Care Unit Experiences: Collaborative Quasi-Experimental Study

Overview of the neonatal intensive care unit simulation game stages. (A) High school scene: the protagonist, a high school student, expresses their interest in the neonatal intensive care unit to classmates and prepares a previsit report, setting the foundation for their upcoming hospital experience.

Yukihide Miyosawa, Koichi Hirabayashi, Kodai Yamada, Fumiya Kobayashi, Nanami Ogihara, Noa Takeda, Eri Okamura, Shogo Matsumura

JMIR Form Res 2025;9:e73009

Virtual Simulated Placements in Health Care Education: Scoping Review

Virtual Simulated Placements in Health Care Education: Scoping Review

Simulation-based placements present an alternative to traditional practice placements. In traditional placements, students enter a workplace and learn through observation and participation in actual clinical events. In contrast, health care simulation is a technique that produces a scenario designed to represent a real-life practice situation for experiential learning [5,6].

Juliana Samson, Marc Gilbey, Natasha Taylor, Rosie Kneafsey

JMIR Med Educ 2025;11:e58794

Knowledge Gain and the Impact of Stress in a Fully Immersive Virtual Reality–Based Medical Emergencies Training With Automated Feedback: Randomized Controlled Trial

Knowledge Gain and the Impact of Stress in a Fully Immersive Virtual Reality–Based Medical Emergencies Training With Automated Feedback: Randomized Controlled Trial

Both physiological stress markers can be recorded by wearable sensors (eg, wristbands), causing minimal or no disruption to the simulation [24,25]. To evaluate objectively the learning outcomes of self-moderated VR-based emergency training with automated feedback and simultaneously to gain insight into the impact of different stress dimensions on the learning process, we aimed to answer the following questions.

Marco Lindner, Tobias Leutritz, Joy Backhaus, Sarah König, Tobias Mühling

J Med Internet Res 2025;27:e67412

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Mono-Professional Simulation-Based Obstetric Training in a Low-Resource Setting: Stepped-Wedge Cluster Randomized Trial

Additional challenges, such as resource constraints, difficulties in sustaining training programs, staff shortages, and high turnover rates, further hinder the implementation and long-term impact of simulation-based training in sub-Saharan Africa. To overcome these challenges, high-quality research is essential to determine the most effective methodologies for emergency obstetric simulation-based training in sub-Saharan Africa.

Anne A C van Tetering, Ella L de Vries, Peter Ntuyo, E R van den Heuvel, Annemarie F Fransen, M Beatrijs van der Hout-van der Jagt, Imelda Namagembe, Josaphat Byamugisha, S Guid Oei

JMIR Med Educ 2025;11:e54911

Immersive Virtual Reality and AI (Generative Pretrained Transformer) to Enhance Student Preparedness for Objective Structured Clinical Examinations: Mixed Methods Study

Immersive Virtual Reality and AI (Generative Pretrained Transformer) to Enhance Student Preparedness for Objective Structured Clinical Examinations: Mixed Methods Study

This investigation used an improved VR simulation featuring the use of AI, which allowed the virtual patient to provide dynamic responses to student questions. This investigation also included qualitative components—semistructured interviews and focus groups were used to obtain student perspectives regarding their experiences with their first-year coursework and the VR simulation.

Shaniff Esmail, Brendan Concannon

JMIR Serious Games 2025;13:e69428