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Introduction: As part of onboarding and systems testing for a clinical expansion, immersive virtual reality (VR) incorporating digital twin technology was used. While digital twin technology has been leveraged by industry, its use in health care has been limited with no prior application for onboarding or training. The tolerability and acceptability of immersive VR for use by a large population of healthcare staff were unknown.
Methods: A prospective, observational study of an autonomous immersive VR onboarding experience to a new clinical space was conducted from May to September 2021. Participants were healthcare staff from several critical care and acute care units. Primary outcomes were tolerance and acceptability measured by reported adverse effects and degree of immersion. Secondary outcomes were attitudes toward the efficacy of VR compared with standard onboarding experiences.
Results: A total of 1522 healthcare staff participated. Rates of adverse effects were low and those with prior VR experience were more likely to report no adverse effects. Odds of reporting immersion were high across all demographic groups, though decreased with increasing age. The preference for VR over low-fidelity methods was high across all demographics; however, preferences were mixed when compared with traditional simulation and real-time clinical care.
Conclusions: Large-scale VR onboarding is feasible, tolerable, and acceptable to a diverse population of healthcare staff when using digital twin technology. This study also represents the largest VR onboarding experience to date and may address preconceived notions that VR-based training in health care is not ready for widespread adoption.
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http://dx.doi.org/10.1097/SIH.0000000000000755 | DOI Listing |
Compr Rev Food Sci Food Saf
September 2025
Department of Life Science (Food Science and Technology Division), GITAM University, Visakhapatnam, Andhra Pradesh, India.
Drying is a critical unit operation in food processing, essential for extending shelf life, ensuring microbial safety, and preserving the nutritional and sensory attributes of food products. However, conventional convective drying techniques are often energy-intensive and lead to undesirable changes such as texture degradation, loss of bioactive compounds, and reduced product quality, thereby raising concerns regarding their sustainability and efficiency. In response, recent advancements have focused on the development of innovative drying technologies that offer energy-efficient, rapid, and quality-preserving alternatives.
View Article and Find Full Text PDFInt J Surg
September 2025
First Clinical Medical College of Gannan Medical University, Ganzhou, Jiangxi, China.
Front Digit Health
August 2025
FEN - Graduate School in Engineering, State University of Rio de Janeiro (UERJ), Rio de Janeiro, Brazil.
Background: This paper presents the application of simulation to assess the functionality of a proposed Digital Twin (DT) architecture for immunisation services in primary healthcare centres. The solution is based on Industry 4.0 concepts and technologies, such as IoT, machine learning, and cloud computing, and adheres to the ISO 23247 standard.
View Article and Find Full Text PDFNeurol Clin Pract
October 2025
Departments of Neurology and Radiology, University of Texas Southwestern Medical Center, Dallas.
Background And Objectives: With more women entering the medical workforce, caregiving challenges and family-work conflicts are of growing importance to today's neurologists. The aim of this study was to assess the impact of caregiver (CG) status on academic achievements in neurology, analyze the division of labor and time devoted to domestic responsibilities, and measure family-work conflict in US academic neurology faculty.
Methods: A total of 19 US neurology departments completed a survey on baseline demographics, academic achievements, CG status, division of domestic time and labor, and responses on a FWC scale.
J Invest Dermatol
September 2025
Department of Dermatology, CHU Nice, University Côte d'Azur, Nice, France; C3M, INSERM U1065, University Côte d'Azur, Nice, France.