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探索人工智能在基层医疗保健中的机遇与挑战:对立陶宛家庭医生的定性研究

Exploring Opportunities and Challenges of AI in Primary Healthcare: A Qualitative Study with Family Doctors in Lithuania.

作者信息

Ratkevičiūtė Kotryna, Aliukonis Vygintas

机构信息

Centre for Health Ethics, Law and History, Institute of Health Sciences, Faculty of Medicine, Vilnius University, 10257 Vilnius, Lithuania.

出版信息

Healthcare (Basel). 2025 Jun 14;13(12):1429. doi: 10.3390/healthcare13121429.

DOI:10.3390/healthcare13121429
PMID:40565456
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12193594/
Abstract

BACKGROUND AND OBJECTIVES

AI is transforming healthcare, with family doctors at the forefront. As primary care providers, they play a key role in integrating AI into patient care. Despite AI's potential, concerns about trust, data privacy, and physician autonomy persist. Little research exists on family doctors' perspectives. This study investigates the views of Lithuanian family physicians on AI's ethical challenges and benefits, aiming to support responsible implementation.

MATERIALS AND METHODS

A review of the literature was conducted (2015-2025) using Google Scholar, PubMed, and Scopus. This qualitative study explored family physicians' perceptions of AI in Lithuania, focusing on ethics, AI's role, experience, training, and concerns about replacement. Informed consent and ethical guidelines were followed.

RESULTS

AI has strong potential in family medicine, automating administrative tasks, improving diagnostic accuracy, and supporting patient autonomy. AI tools, like clinical documentation systems and smart devices save time, allowing physicians to focus on patient care. They also improve diagnostic precision, enabling earlier detection of conditions such as cancer and coronary artery disease. Physicians express concerns about AI's reliability, biases, and data privacy. While AI boosts efficiency, many emphasize the importance of human oversight in decision-making, especially in complex cases. Privacy concerns around health data and the need for stricter regulations are crucial. Lithuanian family physicians generally accept AI as a helpful tool for routine tasks but remain cautious regarding its trustworthiness. Job displacement concerns were not prevalent, with AI seen as a tool to augment rather than replace their role. Successful AI integration requires training, transparency, and ethical guidelines to build trust and ensure patient safety.

CONCLUSIONS

AI enhances efficiency in family medicine but requires structured training and ethical safeguards to address concerns about data privacy, accountability, and bias. AI is viewed as supportive, not as a replacement.

摘要

背景与目标

人工智能正在改变医疗保健行业,家庭医生处于这一变革的前沿。作为初级医疗服务提供者,他们在将人工智能融入患者护理方面发挥着关键作用。尽管人工智能具有潜力,但对信任、数据隐私和医生自主性的担忧依然存在。关于家庭医生观点的研究较少。本研究调查立陶宛家庭医生对人工智能的伦理挑战和益处的看法,旨在支持其负责任的实施。

材料与方法

使用谷歌学术、PubMed和Scopus对2015年至2025年的文献进行综述。这项定性研究探讨了立陶宛家庭医生对人工智能的看法,重点关注伦理、人工智能的作用、经验、培训以及对被取代的担忧。研究遵循知情同意和伦理准则。

结果

人工智能在家庭医学中具有强大潜力,可实现行政任务自动化、提高诊断准确性并支持患者自主性。临床文档系统和智能设备等人工智能工具节省时间,使医生能够专注于患者护理。它们还提高了诊断精度,能够更早地检测出癌症和冠状动脉疾病等病症。医生对人工智能的可靠性、偏差和数据隐私表示担忧。虽然人工智能提高了效率,但许多人强调在决策中进行人工监督的重要性,尤其是在复杂病例中。围绕健康数据的隐私问题以及对更严格法规的需求至关重要。立陶宛家庭医生普遍将人工智能视为日常任务的有用工具,但对其可信度仍持谨慎态度。对工作岗位被取代的担忧并不普遍,人工智能被视为增强其作用而非取代其角色的工具。成功整合人工智能需要培训、透明度和伦理准则,以建立信任并确保患者安全。

结论

人工智能提高了家庭医学的效率,但需要结构化培训和伦理保障措施来解决对数据隐私、问责制和偏差的担忧。人工智能被视为一种支持手段,而非替代品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/12193594/0fa0006eb387/healthcare-13-01429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/12193594/0fa0006eb387/healthcare-13-01429-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/12193594/0fa0006eb387/healthcare-13-01429-g001.jpg

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