来自人工智能聊天机器人的住院药物指导的评估
Jennifer Beavers1, Ryan F Schell1, Halden VanCleave1
1Department of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, TN, USA.
概括
药物数据库为住院患者的药物使用问题提供了比人工智能聊天机器人更准确,完整,安全和有用的答案. 聊天机器人需要进一步开发,以实现可靠的临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床药房实践 临床药房实践
背景情况:
- 住院药物使用问题很常见.
- 准确和及时的答案对于患者的安全至关重要.
- 评估新兴的人工智能工具,如聊天机器人与已有的资源是必要的.
研究的目的:
- 为了比较来自人工智能聊天机器人和药物数据库的反应的临床完整性,正确性,有用性和安全性.
- 评估这些答案与临床药剂师为日常住院患者药物使用问题提供的答案相比.
主要方法:
- 评估了对200个现实世界药物使用问题的答案.
- 比较AI聊天机器人,药物数据库和临床药剂师的答案.
- 盲目的药剂师,提供者和护士评价的答案质量.
- 根据审稿人对药剂师答案的评分,定义了"可接受"的答案.
主要成果:
- 药物数据库的响应可以接受正确性 (88%),完整性 (76%),安全性 (83%) 和有用性 (81%).
- 人工智能聊天机器人的答案在正确性 (85%),完整性 (65%),安全性 (71%) 和有用性 (68%) 方面是可以接受的,但只回答了80%的问题.
- 药剂师的答案作为接受度的基准.
结论:
- 与当前的AI聊天机器人相比,传统的药物数据库提供了更好的临床答案.
- 人工智能聊天机器人需要在临床整合的完整性,安全性和实用性方面得到显著改进.
- 进一步发展人工智能可以将聊天机器人定位为药剂师和医疗保健提供者的宝贵辅助工具.
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