验证电子健康记录算法用于糖尿病查在急诊室的资格
Mary H Smart1, Janet Y Lin2, Brian T Layden3,4
1University of Illinois Chicago, College of Pharmacy, Department of Pharmacy Systems, Outcomes and Policy, Chicago, Illinois.
The western journal of emergency medicine
|June 25, 2025
概括
一个新的算法有效地识别急诊室患者进行血红蛋白A1c (HbA1c) 测试,有助于早期发现未诊断的糖尿病和糖尿病前期. 这种基于电子健康记录的工具支持美国糖尿病协会 (ADA) 的查指南.
科学领域:
- 临床医学 临床医学
- 内分泌学 在内分泌学.
- 公共卫生 公共卫生
背景情况:
- 美国糖尿病协会 (ADA) 的查指南被广泛使用,但其实施情况各不相同.
- 将指南适应特定环境会影响实际应用和使用.
- 在急诊室 (ED) 识别符合符合血红蛋白A1c (HbA1c) 测试条件的患者可能是具有挑战性的.
研究的目的:
- 通过ADA指南验证一个最佳实践咨询 (BPA) 选算法.
- 在ED中确定符合HbA1c测试条件的患者.
- 评估算法在检测潜在未被诊断的糖尿病和糖尿病前期的准确性.
主要方法:
- 在2021年5月的城市ED中对成年人的横截面研究.
- 使用灵敏度,特异性,概率比率和算法验证的预测值.
- 手动图表审查作为参考标准; 计算了曲线下的面积 (AUC).
主要成果:
- 在27%符合条件的ED患者中,BPA算法被触发,其中79%完成了HbA1c测试.
- 该算法显示了可接受的灵敏度 (0.69) 和高特异性 (0.91).
- 积极的预测值为0.75,负的预测值为0.88,AUC为0.74.
结论:
- 使用ADA指南的基于EHR的算法是基于ED的HbA1c测试资格的有效工具.
- 该BPA算法有效地识别了潜在未被诊断的糖尿病或糖尿病前期患者.
- 工作流集成和高产量使BPA算法适合ED糖尿病查.
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