超越屏幕:生成人工智能 (AI) 对患者学习和患者与医生的关系的影响
Daryl O Traylor1,2,3, Keith V Kern4, Eboni E Anderson5
1Public Health, Eastern Washington University, Cheney, USA.
Cureus
|February 3, 2025
概括
生成型人工智能 (AI) 通过使医疗信息可访问,提高了患者教育和健康素养. 然而,需要仔细整合,以减轻错误信息等风险,并保持患者与医生的关系.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 医疗信息学医学信息学
- 医学中的人工智能
背景情况:
- 包括像ChatGPT这样的工具在内的生成人工智能 (AI) 正在迅速发展并影响医疗保健.
- 医疗保健中的传统AI专注于数据分析;生成AI引入了新的患者交互动态.
- 患者与医生的关系和患者教育是受生成性AI影响的关键领域.
研究的目的:
- 审查生成AI对医疗保健的双重影响,重点关注患者教育和患者与医生的关系.
- 检查生成人工智能如何增强患者的理解,自我护理和决策.
- 解决潜在的风险,伦理影响,以及将来将生成AI整合到临床实践中.
主要方法:
- 进行了文学叙事审查.
- 搜索的数据库包括PubMed,MEDLINE,Scopus和谷歌学者.
- 包括在2010年至2024年之间发表的关于生成AI在患者教育,参与和患者与医生的关系方面的研究.
主要成果:
- 生成型人工智能工具通过提供可访问,个性化和交互式的医疗信息,显著提高了患者的健康素养.
- 患者有权在管理自己的健康方面发挥更积极的作用.
- 确定的风险包括错误信息的传播和对患者和医生关系的信任的潜在侵蚀.
结论:
- 生成型人工智能为患者教育和参与提供了巨大的好处.
- 周到的整合至关重要,以确保人工智能补充,而不是取代,医生护理.
- 未来的研究必须解决道德挑战,并优化人工智能的作用,以保持对患者护理的信任和质量.
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