患者教育中的可读性指标:我们在哪里进行创新?
Som Singh1, Aleena Jamal2, Fawad Qureshi3
1Department of Internal Medicine, University of Missouri Kansas City School of Medicine, Kansas City, MO 64108, USA.
Clinics and practice
|November 25, 2024
概括
患者教育材料对于医疗保健至关重要,但可读性挑战仍然存在. 虽然很重要,但仅仅是文本可读性并不能完全解决健康素养问题,尽管生成人工智能显示出改善的希望.
科学领域:
- 数字健康数字健康
- 卫生沟通健康沟通
- 患者教育 患者教育
背景情况:
- 数字健康应用程序增加了对患者教育材料的需求.
- 患者的健康素养显著影响这些材料的有效性.
- 可读性是文本理解的关键因素,在数字健康内容中,可读性往往低于建议水平.
研究的目的:
- 在各种医学领域审查可读性:儿科,内科,预防医学和手术.
- 要强调,仅仅是可读性并不能完全涵盖健康素养或有效的沟通.
- 探索生成人工智能作为提高可读性的潜在解决方案.
主要方法:
- 关于儿科,内科,预防和外科医学可读性研究的文献综述.
- 分析可读性,健康素养和患者沟通效率之间的关系.
- 在医疗文本可读性方面探索生成人工智能应用.
主要成果:
- 许多数字健康文本未能达到推的六年级到八年级的阅读水平.
- 可读性是评估患者理解的重要但不足的措施.
- 生成型人工智能为提高可读性提供了一个潜在的,但尚未开发的解决方案.
结论:
- 可读性是患者教育材料的关键组成部分,但并不能捕捉到健康素养的全部范围.
- 有效的患者沟通需要的不仅仅是简单的文本可读性.
- 生成性人工智能为改善数字健康信息的可访问性和有效性提供了一个有希望的未来方向.
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