评估医学生对人工智能集成远程医疗的认知：罗马尼亚的一项横断面研究。

Assessing Medical Students' Perceptions of AI-Integrated Telemedicine: A Cross-Sectional Study in Romania.

作者信息

Onetiu Florina, Bratu Melania Lavinia, Folescu Roxana, Bratosin Felix, Bratu Tiberiu

机构信息

Doctoral School, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

Department of Neurosciences, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

出版信息

Healthcare (Basel). 2025 Apr 24;13(9):990. doi: 10.3390/healthcare13090990.

DOI:10.3390/healthcare13090990

PMID:40361768

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12071906/

Abstract

BACKGROUND AND OBJECTIVES

The rapid advancement of Artificial Intelligence (AI) has driven the expansion of telemedicine solutions worldwide, enabling remote diagnosis, patient monitoring, and treatment support. This study aimed to explore medical students' perceptions of AI in telemedicine, focusing on how these future physicians view AI's potential, benefits, and challenges.

METHODS

A cross-sectional survey was conducted among 161 Romanian medical students spanning Years 1 through 6. Participants completed a 15-item questionnaire covering demographic factors, prior exposure to AI, attitudes toward telemedicine, perceived benefits, and concerns related to ethical and data privacy issues. A questionnaire on digital health acceptance was conceived and integrated into the survey instrument.

RESULTS

Out of 161 respondents, 70 (43.5%) reported prior telemedicine use, and 66 (41.0%) indicated high familiarity (Likert scores ≥ 4) with AI-based tools. Fifth- and sixth-year students showed significantly greater acceptance of AI-driven telemedicine compared to first- and second-year students ( = 0.014). A moderate positive correlation (r = 0.44, < 0.001) emerged between AI familiarity and telemedicine confidence, while higher data privacy concerns negatively affected acceptance ( = -0.20, = 0.038). Gender differences were noted but did not reach consistent statistical significance in multivariate models.

CONCLUSIONS

Overall, Romanian medical students view AI-enhanced telemedicine favorably, particularly those in advanced academic years. Familiarity with AI technologies is a key driver of acceptance, though privacy and ethical considerations remain barriers. These findings underline the need for targeted curricular interventions to bolster AI literacy and address concerns regarding data security and clinical responsibility. By proactively integrating AI-related competencies, medical faculties can better prepare students for a healthcare landscape increasingly shaped by telemedicine.

摘要

背景与目的

人工智能（AI）的迅速发展推动了远程医疗解决方案在全球范围内的扩展，实现了远程诊断、患者监测和治疗支持。本研究旨在探讨医学生对远程医疗中人工智能的看法，重点关注这些未来的医生如何看待人工智能的潜力、益处和挑战。

方法

对161名罗马尼亚医学生进行了横断面调查，这些学生涵盖1至6年级。参与者完成了一份包含15个项目的问卷，内容涉及人口统计学因素、先前接触人工智能的情况、对远程医疗的态度、感知到的益处以及与伦理和数据隐私问题相关的担忧。设计了一份关于数字健康接受度的问卷并纳入调查工具。

结果

在161名受访者中，70人（43.5%）报告曾使用过远程医疗，66人（41.0%）表示对基于人工智能的工具高度熟悉（李克特量表得分≥4）。与一、二年级学生相比，五、六年级学生对人工智能驱动的远程医疗表现出明显更高的接受度（P = 0.014）。人工智能熟悉度与远程医疗信心之间呈现出中等程度的正相关（r = 0.44，P < 0.001），而更高的数据隐私担忧对接受度产生负面影响（P = -0.20，P = 0.038）。注意到了性别差异，但在多变量模型中未达到一致的统计学显著性。

结论

总体而言，罗马尼亚医学生对人工智能增强的远程医疗持积极看法，尤其是高年级的学生。对人工智能技术的熟悉是接受度的关键驱动因素，尽管隐私和伦理考量仍然是障碍。这些发现强调了有针对性的课程干预措施的必要性，以提高人工智能素养并解决有关数据安全和临床责任的担忧。通过积极整合与人工智能相关的能力，医学院校可以更好地让学生为日益受远程医疗影响的医疗保健环境做好准备。