Accepted for/Published in: JMIR Medical Education
Date Submitted: Feb 12, 2025
Date Accepted: Jul 3, 2025
A Large-scale Multi-specialty Evaluation of Web-based Simulation in Medical Microbiology Laboratory Education: Randomized Controlled Trial
ABSTRACT
Background:
Traditional laboratory teaching of pathogenic cocci faces challenges in biosafety and standardization across medical specialties. While virtual simulation shows promise, evidence from large-scale, multi-disciplinary studies remains limited.
Objective:
To evaluate the effectiveness of integrating virtual simulation with traditional laboratory practice in enhancing medical microbiology education, focusing on the identification of BSL-2 pathogenic cocci. The study aims to assess improvements in student performance, theoretical understanding, laboratory safety, and overall satisfaction, while achieving standardization and cost reduction across multiple medical specialties.
Methods:
This randomized controlled study involved 1,282 medical students from nine specialties. The experimental group (n=641) received virtual simulation training before traditional laboratory practice, while the control group (n=641) followed conventional methods only. Our virtual system focused on BSL-2 pathogenic cocci identification with dynamic specimen generation.
Results:
The experimental group showed significantly improved performance across specialties (P<.0001), particularly in clinical medicine and preventive medicine. Virtual simulation enhanced students' theoretical understanding (98.7%) and laboratory safety (90.8%), while achieving standardization (61.6%) and cost reduction (60% over five years). Overall student satisfaction reached 97.2%, with distinct learning patterns observed across specialties.
Conclusions:
This large-scale study demonstrates that integrating virtual simulation with traditional methods effectively enhances medical microbiology education, providing a standardized, safe, and cost-effective approach for teaching high-risk pathogenic experiments.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.