The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital

Abstract Background Clinical nurses frequently endure substantial work-related stress, adversely affecting their well-being and potentially compromising patient care quality and safety. The integration of a 5G-based medical private network into smart nursing systems and mobile devices offers a promi...

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Main Authors: Xuejiao Ruan, Yuying Lou, Xinhua Zhang, Zhulin Wu, Hongzhi Yuan
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BioMedical Engineering OnLine
Subjects:
Online Access:https://doi.org/10.1186/s12938-025-01344-1
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author Xuejiao Ruan
Yuying Lou
Xinhua Zhang
Zhulin Wu
Hongzhi Yuan
author_facet Xuejiao Ruan
Yuying Lou
Xinhua Zhang
Zhulin Wu
Hongzhi Yuan
author_sort Xuejiao Ruan
collection DOAJ
description Abstract Background Clinical nurses frequently endure substantial work-related stress, adversely affecting their well-being and potentially compromising patient care quality and safety. The integration of a 5G-based medical private network into smart nursing systems and mobile devices offers a promising solution to reduce this stress. This study evaluates the impact of a Smart Nursing Information System based on a 5G Medical Private Network and its Supporting Mobile Hardware (SNIS-SMH) on mitigating work-related stress among clinical nurses. The goal is to provide a scientific basis for nursing management, reduce error incidents, advance nursing procedures, and enhance productivity. Results A total of 226 nurses completed the study. The SNIS-SMH group showed significantly lower total work stress scores (66.16 ± 9.82) compared to the control group (70.65 ± 11.32, P = 0.002). In specific dimensions, the SNIS-SMH group had lower scores for nursing profession and work (14.17 ± 2.37 vs. 15.00 ± 3.06, P = 0.023), workload and time distribution (10.56 ± 2.45 vs. 12.42 ± 2.55, P < 0.001), and patient care (22.55 ± 3.34 vs. 23.70 ± 4.06, P = 0.021). No significant differences were found in the work environment and resource, and management and interpersonal relationships dimensions. Conclusions The SNIS-SMH system significantly alleviated work-related stress among clinical nurses, particularly in nursing duties, workload and time distribution, and patient care.
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spelling doaj-art-e9c69c4c55404081b8968623b7043f702025-02-09T12:47:35ZengBMCBioMedical Engineering OnLine1475-925X2025-02-0124112210.1186/s12938-025-01344-1The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospitalXuejiao Ruan0Yuying Lou1Xinhua Zhang2Zhulin Wu3Hongzhi Yuan4Department of Nursing, The First People’s Hospital of WuhuDepartment of Nursing, The First People’s Hospital of WuhuDepartment of Nanshi Ward, The First People’s Hospital of WuhuDepartment of Nursing, The First People’s Hospital of WuhuDepartment of Rehabilitation, The First People’s Hospital of WuhuAbstract Background Clinical nurses frequently endure substantial work-related stress, adversely affecting their well-being and potentially compromising patient care quality and safety. The integration of a 5G-based medical private network into smart nursing systems and mobile devices offers a promising solution to reduce this stress. This study evaluates the impact of a Smart Nursing Information System based on a 5G Medical Private Network and its Supporting Mobile Hardware (SNIS-SMH) on mitigating work-related stress among clinical nurses. The goal is to provide a scientific basis for nursing management, reduce error incidents, advance nursing procedures, and enhance productivity. Results A total of 226 nurses completed the study. The SNIS-SMH group showed significantly lower total work stress scores (66.16 ± 9.82) compared to the control group (70.65 ± 11.32, P = 0.002). In specific dimensions, the SNIS-SMH group had lower scores for nursing profession and work (14.17 ± 2.37 vs. 15.00 ± 3.06, P = 0.023), workload and time distribution (10.56 ± 2.45 vs. 12.42 ± 2.55, P < 0.001), and patient care (22.55 ± 3.34 vs. 23.70 ± 4.06, P = 0.021). No significant differences were found in the work environment and resource, and management and interpersonal relationships dimensions. Conclusions The SNIS-SMH system significantly alleviated work-related stress among clinical nurses, particularly in nursing duties, workload and time distribution, and patient care.https://doi.org/10.1186/s12938-025-01344-1Smart nursing information systemSupporting mobile hardwareWork stressRandomized control
spellingShingle Xuejiao Ruan
Yuying Lou
Xinhua Zhang
Zhulin Wu
Hongzhi Yuan
The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
BioMedical Engineering OnLine
Smart nursing information system
Supporting mobile hardware
Work stress
Randomized control
title The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
title_full The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
title_fullStr The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
title_full_unstemmed The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
title_short The impact of a 5G-based smart nursing information system and associated mobile hardware on clinical nurses’ work stress: a randomized controlled study in a Chinese hospital
title_sort impact of a 5g based smart nursing information system and associated mobile hardware on clinical nurses work stress a randomized controlled study in a chinese hospital
topic Smart nursing information system
Supporting mobile hardware
Work stress
Randomized control
url https://doi.org/10.1186/s12938-025-01344-1
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