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对慢性疼痛药物的患者教育工具进行比较:人工智能聊天机器人与传统的患者信息传单
Prakash Gondode1, Sakshi Duggal1, Neha Garg1
1Department of Anesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences (AIIMS) New Delhi, India.
Indian journal of anaesthesia
|July 31, 2024
概括
像ChatGPT这样的人工智能 (AI) 聊天机器人提供慢性疼痛药物的患者教育,但传统的传单显示出更好的可读性. 人工智能和传统材料之间的准确性和可理解性是可比的.
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:
- 人工智能 (AI) 聊天机器人,如ChatGPT,正因其在患者教育方面的潜力而受到关注.
- 了解情况的患者可以提高对治疗的坚持和共享决策.
- 人工智能产生的患者教育材料的准确性和可理解性存在担忧.
研究的目的:
- 将来自ChatGPT的AI生成的患者信息材料与慢性疼痛药物的传统患者信息传单 (PIL) 进行比较.
- 为了评估两种材料类型的可读性,情感色调,准确性,可操作性和可理解性.
主要方法:
- 患者常见问题是从现有的PIL中生成的.
- 创建了八个盲目的附件:传统的PIL和AI生成的材料.
- 对比分析包括可读性指标 (FRE,GFI,FKGL),情绪分析,准确性的专家评估,以及患者教育材料评估工具的可操作性和可理解性.
主要成果:
- 与ChatGPT生成的材料相比,传统的PIL显示出明显更高的可读性得分 (FRE,GFI,FKGL).
- 聊天GPT生成的文本比传统的PIL表现出更积极的情绪色调,这些文本通常具有负面情绪.
- 人工智能生成的材料与传统的PIL之间的准确性,完整性,可操作性和可理解性是可比的.
结论:
- 人工智能聊天机器人可以有效地传递信息,但确保准确性和可读性至关重要.
- 在将人工智能整合到患者教育中时,必须优先考虑以患者为中心.
- 将技术创新与基于证据的实践相平衡,对于有效的患者信息传播至关重要.
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