在电子健康记录数据库的临床笔记中识别心室节律失常和心脏骤停
Neil Dhopeshwarkar1, Charles Dharmani2, Oluwatosin Fofah2
1Research and Data Solutions, TriNetX, LLC, Cambridge, MA, USA.
Future cardiology
|May 19, 2025
概括
电子健康记录 (EHR) 中的非结构化临床笔记包含足够的数据来验证用于识别心室节律失常和突然心脏骤停 (VA/SCA) 的算法. 这支持了准确的真实世界的风险研究.
科学领域:
- 心脏病学 心脏病学
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
背景情况:
- 在电子健康记录 (EHR) 中验证心室节律失常和突然心脏骤停 (VA/SCA) 的算法对于准确的现实风险评估至关重要.
- 建立可靠的参考标准对于这些验证研究至关重要.
研究的目的:
- 确定大型电子健康记录数据库中的非结构化临床笔记是否包含足够的信息,以作为参考标准.
- 评估使用EHR临床笔记用于验证VA/SCA算法的可行性.
主要方法:
- 20个潜在的VA/SCA事件被随机从TriNetX数据库中的非结构化临床笔记中选择.
- 关键临床要素的备注:急性事件记录,心电图 (ECG) 发现和医疗干预.
主要成果:
- 在85.0%的病例中存在急性事件的明确文档 (17/20).
- 在75.0%的病例中 (15/20),记录了心电图的发现.
- 笔记通常包括关于迹象,症状,护理环境,干预措施和结果的详细信息.
结论:
- 非结构化的EHR临床注释拥有作为参考标准的必要信息.
- 这些说明可以支持未来的VA/SCA算法在EHR数据中的验证研究.
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