Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace

Pin Hsuan Wang; Anna Yu Qing Huang; Yen Hsun Huang; Ying Ying Yang; Jiing Feng Lirng; Tzu Hao Li; Ming Chih Hou; Chen Huan Chen; Albert Chih Chieh Yang; Chi Hung Lin; Wayne Huey Herng Sheu

doi:10.30191/ETS.202301_26(1).0012

Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace

Pin Hsuan Wang, Anna Yu Qing Huang, Yen Hsun Huang, Ying Ying Yang^*, Jiing Feng Lirng, Tzu Hao Li, Ming Chih Hou, Chen Huan Chen, Albert Chih Chieh Yang, Chi Hung Lin, Wayne Huey Herng Sheu

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Medical personnel need to learn occupational safety knowledge in clinical workplaces, not only to ensure their own safety, but also to further ensure patients safety. Based on Human-centered artificial intelligence (HAI) technology, this study will provide HAI-based occupational safety training system for two training topics, Needle Stick/Sharps Injury (NSSI) prevention and appropriate Clinical Waste Management (CWM). From April 2018 to December 2021, this clinical occupational safety HAI training is used by 342 medical personnel (doctors and non-doctors). This study aims to investigate the learning performance and effectiveness including decreasing anxiety and increasing mastering level of users. This study shows that, for the first-time and feel-friendly users of this HAI training system, not only can they achieve significant learning improvement, but they can also effectively decrease their anxiety and increase their mastery level of clinical work safety knowledge and skill.

Original language	English
Pages (from-to)	160-170
Number of pages	11
Journal	Educational Technology and Society
Volume	26
Issue number	1
DOIs	https://doi.org/10.30191/ETS.202301_26(1).0012
State	Published - 2023

Keywords

Clinical waste management
Needle stick sharp injury
Virtual reality

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Wang, P. H., Huang, A. Y. Q., Huang, Y. H., Yang, Y. Y., Lirng, J. F., Li, T. H., Hou, M. C., Chen, C. H., Yang, A. C. C., Lin, C. H., & Sheu, W. H. H. (2023). Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace. Educational Technology and Society, 26(1), 160-170. https://doi.org/10.30191/ETS.202301_26(1).0012

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title = "Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace",

abstract = "Medical personnel need to learn occupational safety knowledge in clinical workplaces, not only to ensure their own safety, but also to further ensure patients safety. Based on Human-centered artificial intelligence (HAI) technology, this study will provide HAI-based occupational safety training system for two training topics, Needle Stick/Sharps Injury (NSSI) prevention and appropriate Clinical Waste Management (CWM). From April 2018 to December 2021, this clinical occupational safety HAI training is used by 342 medical personnel (doctors and non-doctors). This study aims to investigate the learning performance and effectiveness including decreasing anxiety and increasing mastering level of users. This study shows that, for the first-time and feel-friendly users of this HAI training system, not only can they achieve significant learning improvement, but they can also effectively decrease their anxiety and increase their mastery level of clinical work safety knowledge and skill.",

keywords = "Clinical waste management, Needle stick sharp injury, Virtual reality",

author = "Wang, {Pin Hsuan} and Huang, {Anna Yu Qing} and Huang, {Yen Hsun} and Yang, {Ying Ying} and Lirng, {Jiing Feng} and Li, {Tzu Hao} and Hou, {Ming Chih} and Chen, {Chen Huan} and Yang, {Albert Chih Chieh} and Lin, {Chi Hung} and Sheu, {Wayne Huey Herng}",

year = "2023",

doi = "10.30191/ETS.202301_26(1).0012",

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AU - Yang, Ying Ying

AU - Lirng, Jiing Feng

AU - Li, Tzu Hao

AU - Hou, Ming Chih

AU - Chen, Chen Huan

AU - Yang, Albert Chih Chieh

AU - Lin, Chi Hung

AU - Sheu, Wayne Huey Herng

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AB - Medical personnel need to learn occupational safety knowledge in clinical workplaces, not only to ensure their own safety, but also to further ensure patients safety. Based on Human-centered artificial intelligence (HAI) technology, this study will provide HAI-based occupational safety training system for two training topics, Needle Stick/Sharps Injury (NSSI) prevention and appropriate Clinical Waste Management (CWM). From April 2018 to December 2021, this clinical occupational safety HAI training is used by 342 medical personnel (doctors and non-doctors). This study aims to investigate the learning performance and effectiveness including decreasing anxiety and increasing mastering level of users. This study shows that, for the first-time and feel-friendly users of this HAI training system, not only can they achieve significant learning improvement, but they can also effectively decrease their anxiety and increase their mastery level of clinical work safety knowledge and skill.

KW - Clinical waste management

KW - Needle stick sharp injury

KW - Virtual reality

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Feasibility and Accessibility of Human-centered AI-based Simulation System for Improving the Occupational Safety of Clinical Workplace

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