在阿片类药物风险评分中的算法不透明性以及需要透明的AI监管的需要
Sherry Yun Wang1, Ryan Stofer2, Zhouzhou Chu2
1School of Pharmacy, Chapman University, Irvine, CA, USA. yunwang@chapman.edu.
NPJ digital medicine
|February 24, 2026
概括
在处方药监测计划 (PDMP) 中使用的阿片类药物风险评分系统NarxCare®在重建模型中表现不佳. 系统 系统 系统
科学领域:
- 医疗信息学 医疗信息学
- 药物监督 药物监督 药物监督
- 医疗保健服务研究 医疗服务研究
背景情况:
- 纳克斯凯尔 (NarxCare) 是一个专有阿片类药物风险评分系统,集成到处方药监测计划 (PDMP) 中.
- 患者对NarxCare®系统提出了投诉.
- 阿片类药物风险评估工具的准确性和可靠性对于患者安全和适当的处方至关重要.
研究的目的:
- 独立评估NarxCare®阿片类药物风险评分系统的性能.
- 根据已建立的基准来评估系统的精度和F1分数.
- 确定是否纳入社会经济共变量可以提高系统的准确性.
主要方法:
- 使用技术规格重建的NarxCare®模型.
- 使用的处方药监测计划 (PDMP) 数据.
- 公司注册的IQVIA PharMetrics® Plus封闭健康计划索赔数据库.
- 在分析中包括社会经济协变量.
主要成果:
- 重建的模型显示精度值明显低于基准值 (0.01-0.32对比0.75).
- F1的分数远低于基准值 (0.02-0.39对比0.65). F1的分数远低于基准值 (0.02-0.39对比0.65).
- 即使在增加了社会经济共变量之后,表现仍然很差.
结论:
- 重建后的NarxCare®系统的性能远远低于报告的基准.
- 该系统的低精度和F1分数引发了对其在阿片类药物风险评估中的可靠性的担忧.
- 对阿片类药物风险分层工具的进一步验证和潜在改进是必要的.
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