人工智能可以提高患者教育材料的可读性吗? 一个系统的审查和叙事综合
Mohamed Nasra1, Rimsha Jaffri2, Davor Pavlin-Premrl3,4,5
1Department of Medicine, Northern Health, Melbourne, Victoria, Australia.
Internal medicine journal
|December 25, 2024
概括
人工智能 (AI) 可以简化医疗患者教育材料 (PEMs),提高健康素养. 虽然人工智能显示出高用户满意度和可读性,但对复杂主题的准确性和全面性需要改进.
科学领域:
- 医疗信息学 医疗信息学
- 卫生识字 卫生识字
- 人工智能应用程序 人工智能应用程序
背景情况:
- 患者对健康信息的理解对于改善健康结果至关重要.
- 人工智能 (AI) 提供了将复杂的医疗数据简化为可访问格式的潜力.
- 通过改进的患者教育材料 (PEMs) 提高健康素养是医疗保健的一个关键目标.
研究的目的:
- 系统地审查人工智能简化的医疗患者教育材料 (PEMs) 的准确性,可靠性,全面性和可读性.
- 评估人工智能在提炼医疗信息中的有效性,以改善患者的理解.
主要方法:
- 对2019年1月至2023年6月期间发表的研究进行了系统审查.
- 纳入标准侧重于人工智能在PEM中的使用,涉及医生和/或患者.
- 对包括的20项研究进行了诱导性主题分析.
主要成果:
- 人工智能有效地简化了PEM,在某些领域实现了高达90.7%的可重复性.
- 用户对人工智能生成材料的满意度超过了85%,可读性得到了显著的改进 (例如,ChatGPT实现了100%的可读性得分).
- 人工智能性能在准确性和可靠性方面各不相同,对复杂的医学科目而言,其全面性和精确性有局限性.
结论:
- 人工智能通过简化PEMs来提高患者健康素养的巨大潜力.
- 为了提高准确性,可靠性和个性化,人工智能模型和快速工程的进一步进步是必要的.
- 精细化对于人工智能有效处理复杂的医疗信息和解决软技能局限性的关键.
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