在电子健康记录中使用关键词搜索创建罕见队伍
Kristen Barbour1, Niu Tian2, Elissa G Yozawitz3
1University of California San Diego, San Diego, California, USA.
Epilepsia
|July 27, 2023
概括
关键词搜索有效地识别了罕见患者在电子健康记录当行政代码是不够的. 这种方法有助于患者的识别和监测,以获得更好的护理和研究机会.
科学领域:
- 神经学 神经学
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
背景情况:
- 在电子健康记录中识别罕见的行政代码有限.
- 准确的患者鉴定对于研究,临床试验和专业护理至关重要.
研究的目的:
- 评估电子健康记录中关键词搜索的有效性,以创建罕见队列.
- 将关键字搜索性能与手动图表审查进行比较.
主要方法:
- 利用了77,924例与有关的ICD-9代码 (2010-2014) 的临床笔记.
- 通过搜索有关33种罕见的特定关键词的注释,确定了罕见病例.
- 通过手动图表审查验证的结果和计算的正预测值 (PPV),灵敏度和F-score.
主要成果:
- 关键词搜索确定了1862例罕见病例,PPV中位数为0.64,中位数灵敏度为0.93,中位数F-score为0.71.
- 成功创建了100多名针对特定罕见患者的队列,如婴儿和伦诺克斯-加斯托综合征.
- 识别了50多名缺乏特定ICD-10代码的罕见患者,例如肌性动脉发作的.
结论:
- 关键词搜索是从电子健康记录创建罕见队列的可行和有效方法.
- 改善罕见患者的鉴定和监测可以促进转诊到专科诊所和研究研究.
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