在临床规则指导剂量干预中,ChatGPT在住院患有功能障碍的患者中表现不佳
Merel van Nuland1, JaapJan D Snoep2, Toine Egberts3,4
1Department of Clinical Pharmacy, Tergooi Medical Center, Laan van Tergooi 2, 1212 VG, Hilversum, The Netherlands. mvannuland@tergooi.nl.
European journal of clinical pharmacology
|April 9, 2024
概括
在为功能障碍患者提供准确的药物剂量建议方面,ChatGPT的表现不佳. 目前不建议将其集成到临床决策支持系统的电子健康记录中.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 药理学 药理学是指药理学的学科.
背景情况:
- 临床决策支持系统 (CDSS) 有助于确定功能障碍患者的药物剂量调整.
- 像ChatGPT这样的大型语言模型显示了将其集成到电子健康记录 (EHR) 中以支持临床决策的潜力.
研究的目的:
- 评估ChatGPT在为患有功能障碍的住院患者提供临床规则导向剂量干预的性能.
- 为了评估ChatGPT的准确性,当与或没有患者特定变量.
主要方法:
- 在一项横截面研究中,两周内从EHR收集了172个CDSS警报.
- 向ChatGPT和专家小组提交了警报,包括患者变量和没有患者变量.
- 我们将ChatGPT建议的干预措施与专家建议进行了比较.
主要成果:
- 在没有患者变量的警报中,ChatGPT为超过53%的警报提供了不正确的响应,而在有患者变量的警报中,则为超过67%的警报提供了不正确的响应.
- 对于较新的药物,如直接口服抗凝剂,准确性略好一些.
- 除了犹不决的回复,ChatGPT的表现在两个场景中都是不理想的.
结论:
- 在治疗功能障碍的临床规则指导剂量干预中,ChatGPT目前的性能不足.
- 目前不建议将ChatGPT自动集成到EHR系统中,用于与功能障碍相关的CDSS警报.
相关概念视频
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In patients with renal impairment, drugs undergo significant changes in their pharmacokinetics, which require dosage adjustments to ensure safe and effective therapy.
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01:23Renal Clearance
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179