搜索引擎中的人工智能聊天机器人:对患者药物信息质量和风险的横截面研究
Wahram Andrikyan1, Sophie Marie Sametinger2, Frithjof Kosfeld2,3
1Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany wahram.andrikyan@fau.de.
BMJ quality & safety
|October 1, 2024
概括
人工智能聊天机器人提供药物信息,但可以提供潜在的有害建议. 由于严重伤害的风险,医疗保健专业人员在推这些工具时应谨慎使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 患者安全 患者安全
背景情况:
- 搜索引擎是患者药物信息的主要来源.
- 在搜索引擎中人工智能聊天机器人的兴起为药物安全带来了新的动态.
- 人工智能聊天机器人对患者药物安全性的影响在很大程度上尚未被探索.
研究的目的:
- 评估AI聊天机器人生成的药物信息的质量和安全性.
- 评估与患者与人工智能搜索引擎聊天机器人的互动相关的潜在风险.
主要方法:
- 查询了Bing辅助飞行员对50种美国门诊药物的10个常见患者问题.
- 评估了答案的可读性 (Flesch阅读易度得分),完整性和准确性与drugs.com.com相比.
- 医疗保健专业人员评估了不准确的聊天机器人响应的潜在危害.
主要成果:
- 聊天机器人回答通常难以阅读.
- 完整性和准确性很高 (中位数为100%).
- 66%的回复被认为是潜在的危害,22%的回复构成严重的风险.
结论:
- 人工智能聊天机器人可以提供完整和准确的药物信息,但也可以产生潜在的有害内容.
- 聊天机器人答案的复杂性可能会阻碍患者的理解.
- 建议医疗保健专业人员谨慎使用AI搜索引擎来获取药物信息.
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