Enhancing IV Needle Insertion Training With a Bimanual Haptic VR Simulator: Development, Usability, and Learning Impact

Training healthcare professionals in intravenous (IV) needle insertion is a critical component of medical education, traditionally relying on manikin-based simulations and real-life practice. However, the advent of Haptic Virtual Reality (HVR) technologies offers a transformative approach to this training, enhancing safety and potential efficiency. This study explores the development of an IV needle insertion simulator using two different haptic devices integrated into a VR system on the Unity platform and assesses its impact on learning through a 3-week experiment. The simulator is designed to create a realistic and immersive training environment by incorporating detailed anatomical models, physics-based hand interactions, and realtime haptic feedback. The virtual environment replicates a clinical setting, featuring a patient arm model and an IV needle. The haptic feedback is programmed to offer realistic feelings of needle insertion and hand grasping, improving the user's accuracy. Learning impact and usability testing with 41 students indicate a promising improvement in skill acquisition and confidence. Specifically, participants showed a 55% increase in success rates and a significant boost in confidence. This highfidelity HVR simulator represents a significant step forward in medical training technologies, offering a scalable and repeatable training tool adaptable to various educational needs and skill levels.

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Publication Details

Journal
IEEE Transactions on Learning Technologies
Published
2025-01-01
DOI
https://doi.org/10.1109/tlt.2025.3592579
Citations
1
Primary Topic
Engineering Technology and Methodologies
Type
article
Field-Weighted Citation Impact
1.24
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article

Enhancing IV Needle Insertion Training With a Bimanual Haptic VR Simulator: Development, Usability, and Learning Impact

Jin Seok Woo, Robert J. Clements, John Dunlosky, Allan James et al.
1 citations
IEEE Transactions on Learning Technologies
Engineering Technology and Methodologies
1.24
article

Enhancing IV Needle Insertion Training With a Bimanual Haptic VR Simulator: Development, Usability, and Learning Impact

Jin Seok Woo, Robert J. Clements, John Dunlosky, Allan James, Jeremy Jarzembak, Kwangtaek Kim, J. Biggs, Jin‐Woo Kim
article en
1 citations

Abstract

Training healthcare professionals in intravenous (IV) needle insertion is a critical component of medical education, traditionally relying on manikin-based simulations and real-life practice. However, the advent of Haptic Virtual Reality (HVR) technologies offers a transformative approach to this training, enhancing safety and potential efficiency. This study explores the development of an IV needle insertion simulator using two different haptic devices integrated into a VR system on the Unity platform and assesses its impact on learning through a 3-week experiment. The simulator is designed to create a realistic and immersive training environment by incorporating detailed anatomical models, physics-based hand interactions, and realtime haptic feedback. The virtual environment replicates a clinical setting, featuring a patient arm model and an IV needle. The haptic feedback is programmed to offer realistic feelings of needle insertion and hand grasping, improving the user's accuracy. Learning impact and usability testing with 41 students indicate a promising improvement in skill acquisition and confidence. Specifically, participants showed a 55% increase in success rates and a significant boost in confidence. This highfidelity HVR simulator represents a significant step forward in medical training technologies, offering a scalable and repeatable training tool adaptable to various educational needs and skill levels.

IEEE Transactions on Learning TechnologiesVol. 18
Kent State University (US)
Openalex Percentile: Top 17%
Engineering Technology and Methodologies
1.24
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Enhancing IV Needle Insertion Training With a Bimanual Haptic VR Simulator: Development, Usability, and Learning Impact — Jin Seok Woo, Robert J. Clements, et al. · IEEE Transactions on Learning Technologies (2025) | TGRS Research Map | TGRS