护理专业学生中基于人工智能的健康监测设备与患者隐私担忧相关因素的横断面研究。

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

作者信息

Yang Yang, Wang Hui, Du Kunshuo, Wang Xue, Zhao Jiukai, Han Dong, Yang Yu, Zang Shuang

机构信息

Department of Community Nursing, School of Nursing, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, China.

School of Nursing, Peking University, 38 Xueyuan Road, Beijing, Haidian District, 110122, China.

出版信息

BMC Nurs. 2025 Jul 1;24(1):726. doi: 10.1186/s12912-025-03453-7.

DOI:10.1186/s12912-025-03453-7

PMID:40598528

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12210904/

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.

摘要

背景

人工智能（AI）迅速融入医疗保健领域引发了重要的患者隐私问题，尤其是在基于AI的健康监测设备方面。作为未来的医疗保健专业人员，护理专业学生在采用和实施基于AI的健康监测设备中将发挥关键作用。

目的

本研究旨在评估护理专业学生对基于AI的健康监测设备中患者隐私问题的关注程度，并分析相关因素。

方法

从2023年中国人口心理与行为调查（PBICR）中抽取了967名护理专业学生。采用多变量广义线性模型分析来评估护理专业学生对基于AI的健康监测设备中患者隐私问题关注程度的相关因素。

结果

护理专业学生对基于AI的健康监测设备中患者隐私问题关注程度的平均得分为69.00（50.00，88.00）（范围0-100）。家庭健康[三分位数2：35～39（β=0.03），三分位数3：40～50（β=0.03）]、焦虑症状[三分位数2：2～7（β=0.07），三分位数3：8～21（β=0.10）]、心理韧性[三分位数2：4～6（β=0.02），三分位数3：7～8（β=0.10）]以及没有兄弟姐妹（β=-0.02）与护理专业学生对基于AI的健康监测设备中患者隐私问题的关注有关。