电子健康记录产生的临床覆盖率评分系统的开发和评估与儿科外科患者的人类决策相比:单一中心体验系统
Pornswan Ngamprasertwong1, Annie R Amin1, Jiwon Lee2,3
1Department of Anesthesia, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
Paediatric anaesthesia
|April 2, 2025
概括
使用电子医疗记录的自动评分系统可以准确识别高急性儿科手术患者,改进了复杂病例识别的手工方法.
科学领域:
- 儿科手术 儿科手术
- 医疗保健信息学 医疗保健信息学
- 提高质量 提高质量
背景情况:
- 高等保健中心管理各种手术患者,从健康到重症.
- 高急性病例需要专门的人员和资源,目前是手动识别的.
- 对于复杂的儿科外科病例,需要一个标准化的评分系统.
研究的目的:
- 开发基于电子病历 (EMR) 的评分系统,用于识别高急性儿科手术患者.
- 为了比较这个自动化系统与临床工作人员手动识别的准确性.
- 加强复杂病例的资源分配和临床决策.
主要方法:
- 一个基于规则的自动评分系统在四级儿童医院设计并实施.
- 规则纳入了患者的特征,手术复杂性,麻醉因素和急性状况.
- 通过比较灵敏度,特异性,PPV,NPV和准确度,对手工病例识别进行了绩效评估.
主要成果:
- 在10,761个案件中,自动化系统发现的高急性病例 (17.7%) 比手动审查 (13.5%) 多.
- 随着时间的推移,自动化系统的准确性得到了提高,超过了手动识别.
- 最终的指标包括95.86%的灵敏度,99.84%的特异性和99.04%的整体准确度.
结论:
- 通过EMR生成的临床覆盖率得分可以有效地取代高急性儿科外科病例的手动审查.
- 这种自动化工具为临床决策提供了可靠的实时指导.
- 实施可以优化儿科手术中的资源分配和患者护理.
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