Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study

Abstract Background The rapid integration of artificial intelligence (AI) into healthcare has raised important patient privacy concerns, particularly regarding AI-based health monitoring devices. As future healthcare professionals, nursing students will play a critical role in adopting and implement...

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Main Authors: Yang Yang, Hui Wang, Kunshuo Du, Xue Wang, Jiukai Zhao, Dong Han, Yu Yang, Shuang Zang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Nursing
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Online Access:https://doi.org/10.1186/s12912-025-03453-7
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author Yang Yang
Hui Wang
Kunshuo Du
Xue Wang
Jiukai Zhao
Dong Han
Yu Yang
Shuang Zang
author_facet Yang Yang
Hui Wang
Kunshuo Du
Xue Wang
Jiukai Zhao
Dong Han
Yu Yang
Shuang Zang
author_sort Yang Yang
collection DOAJ
description Abstract Background The rapid integration of artificial intelligence (AI) into healthcare has raised important patient privacy concerns, particularly regarding AI-based health monitoring devices. As future healthcare professionals, nursing students will play a critical role in adopting and implementing AI-based health monitoring devices. Objective This study aims to evaluate the level of patient privacy concerns in AI-based health monitoring devices among nursing students and analyze the associated factors. Methods A group of 967 nursing students was extracted from the 2023 Chinese Population Psychology and Behavior Survey (PBICR). The multivariate generalized linear model analysis was used to evaluate the associated factors of the level of patient privacy concerns in AI-based health monitoring devices among nursing students. Result The mean score of nursing students’ level of patient privacy concerns in AI-based health monitoring devices was 69.00 (50.00,88.00) (range 0-100). Family health [Tertile 2: 35 ~ 39 (β = 0.03), Tertile 3: 40 ~ 50 (β = 0.03)], anxiety symptoms [Tertile 2: 2 ~ 7 (β = 0.07), Tertile 3: 8 ~ 21 (β = 0.10)], resilience [Tertile 2: 4 ~ 6 (β = 0.02), Tertile 3: 7 ~ 8 (β = 0.10)], and with no sibling (β=-0.02) were associated with patient privacy concerns in AI-based health monitoring devices among nursing students. Conclusion The results of the study indicate that nursing students have certain concerns about AI-based health monitoring devices. The study emphasizes the need for targeted educational programs to mitigate patient privacy concerns and enhance the acceptance of AI-based health monitoring devices in nursing education based on their associated factors. Clinical trial number Not applicable.
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spelling doaj-art-56ee855a6ebd4ad8b9ae3616685448de2025-08-20T04:01:23ZengBMCBMC Nursing1472-69552025-07-0124111110.1186/s12912-025-03453-7Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional studyYang Yang0Hui Wang1Kunshuo Du2Xue Wang3Jiukai Zhao4Dong Han5Yu Yang6Shuang Zang7Department of Community Nursing, School of Nursing, China Medical UniversitySchool of Nursing, Peking UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversitySchool of Information Science and Technology, Northeast Normal UniversityDepartment of Vascular Surgery, The First Hospital of China Medical UniversityDepartment of Community Nursing, School of Nursing, China Medical UniversityAbstract Background The rapid integration of artificial intelligence (AI) into healthcare has raised important patient privacy concerns, particularly regarding AI-based health monitoring devices. As future healthcare professionals, nursing students will play a critical role in adopting and implementing AI-based health monitoring devices. Objective This study aims to evaluate the level of patient privacy concerns in AI-based health monitoring devices among nursing students and analyze the associated factors. Methods A group of 967 nursing students was extracted from the 2023 Chinese Population Psychology and Behavior Survey (PBICR). The multivariate generalized linear model analysis was used to evaluate the associated factors of the level of patient privacy concerns in AI-based health monitoring devices among nursing students. Result The mean score of nursing students’ level of patient privacy concerns in AI-based health monitoring devices was 69.00 (50.00,88.00) (range 0-100). Family health [Tertile 2: 35 ~ 39 (β = 0.03), Tertile 3: 40 ~ 50 (β = 0.03)], anxiety symptoms [Tertile 2: 2 ~ 7 (β = 0.07), Tertile 3: 8 ~ 21 (β = 0.10)], resilience [Tertile 2: 4 ~ 6 (β = 0.02), Tertile 3: 7 ~ 8 (β = 0.10)], and with no sibling (β=-0.02) were associated with patient privacy concerns in AI-based health monitoring devices among nursing students. Conclusion The results of the study indicate that nursing students have certain concerns about AI-based health monitoring devices. The study emphasizes the need for targeted educational programs to mitigate patient privacy concerns and enhance the acceptance of AI-based health monitoring devices in nursing education based on their associated factors. Clinical trial number Not applicable.https://doi.org/10.1186/s12912-025-03453-7Artificial intelligenceHealth monitoring devicesNursing studentsNursing ethicsCross-sectional study
spellingShingle Yang Yang
Hui Wang
Kunshuo Du
Xue Wang
Jiukai Zhao
Dong Han
Yu Yang
Shuang Zang
Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
BMC Nursing
Artificial intelligence
Health monitoring devices
Nursing students
Nursing ethics
Cross-sectional study
title Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
title_full Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
title_fullStr Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
title_full_unstemmed Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
title_short Factors associated with patient privacy concerns in AI-based health monitoring devices among nursing students: a cross-sectional study
title_sort factors associated with patient privacy concerns in ai based health monitoring devices among nursing students a cross sectional study
topic Artificial intelligence
Health monitoring devices
Nursing students
Nursing ethics
Cross-sectional study
url https://doi.org/10.1186/s12912-025-03453-7
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