人工智能生成的患者信息传单:根据英国皮肤病学协会标准对内容进行比较
1University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Clinical and experimental dermatology
|January 3, 2024
概括
人工智能 (AI) 可以生成患者信息传单 (PILs),其事实内容类似于当前的标准. 然而,人工智能生成的PIL可能缺乏关键的以患者为中心的细节,需要仔细审查,特别是对于药物.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者教育 患者教育
背景情况:
- 患者信息传单 (PIL) 补充了临床咨询,提供了可访问的健康信息.
- 许多成年人在健康素养方面扎;43%的人无法理解书面健康信息.
- 英国皮肤病学家协会 (BAD) 提供严格审查的PIL.
研究的目的:
- 评估人工智能 (AI) 是否能够生成与现有的英国皮肤科医生协会 (BAD) PIL 内容相比的患者信息传单 (PIL).
- 评估人工智能生成的PIL的质量和可读性,以帮助患者理解.
主要方法:
- 使用ChatGPT生成了10个PIL,使用预定义的主题列表将内容与BAD PIL进行比较.
- 标注内容遗漏和重新生成的PIL与有针对性的提示.
- 分析了人工智能生成的PIL的可读性.
主要成果:
- 人工智能生成的PIL包含了类似的事实信息,但忽略了患者关键的担忧,如可治愈性和可遗传性.
- 有针对性的提示改进了AI PIL,包括以前遗漏的信息.
- 人工智能生成的PIL的可读性超过了英国成年人口中很大一部分的理解水平.
结论:
- 人工智能生成的PIL可以提供一个有价值的替代品,当条件特定的传单是不可用的,虽然质量可能低于专家审查的版本.
- 人工智能生成的PIL可能更容易被低健康素养的患者访问.
- 由于潜在的不准确性或遗漏,建议对人工智能生成的药物特定PIL保持谨慎.
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