使用结构化电子健康记录数据确定对阿司匹林和其他抗血栓药物的准确暴露
Mansour Gergi1,2, Katherine Wilkinson3, Timothy B Plante1,2
1Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
通过新的电子健康记录算法,现在可以准确跟踪抗血栓药物暴露,包括阿司匹林. 这种经过验证的工具通过准确地捕捉患者药物使用情况,增强了研究和质量倡议.
科学领域:
- 药理学 药理学是指药理学的学科.
- 医疗信息学 医疗信息学
- 临床研究 临床研究
背景情况:
- 精确跟踪抗血栓药物暴露对于研究和质量改进至关重要.
- 挑战包括非处方阿司匹林的可用性和频繁的药物中断.
研究的目的:
- 开发和验证一个算法,精确的纵向捕获抗血栓药物暴露.
- 该算法旨在利用电子健康记录数据,包括阿司匹林.
主要方法:
- 使用了医疗住院患者血栓塞和血液静止队列.
- 开发了一个使用药物调和数据,开始/停止日期和"是/否"药物状态的算法.
- 通过对80张经过审查的患者病历验证算法.
主要成果:
- 该算法表现出高准确度:97%的灵敏度和95%的特异性对于任何抗血栓药物.
- 积极的预测值为93%,负的预测值为98%.
- 对于阿司匹林,敏感度为95%,积极预测值为87%.
结论:
- 开发的算法提供了一种新且可适应的策略,可以准确地捕捉阿司匹林和其他抗血栓药物的暴露.
- 这种工具可以提高临床研究和质量评估中使用的数据的可靠性.
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