利用自然语言处理来改善腹腔大动脉动脉瘤监测
Kathryn DiLosa1, Matthew Schneck1, Emily Xu1
1Division of Vascular Surgery, Department of Surgery, University of California Davis Medical Center, Sacramento, CA.
Journal of vascular surgery
|May 25, 2025
概括
自然语言处理 (NLP) 确定了许多患有腹腔大动脉动脉瘤的患者不遵守监测指南. 这项技术可以通过识别需要随访的人来改善护理.
科学领域:
- 医疗信息学 医疗信息学
- 血管外科 血管外科
- 公共卫生 公共卫生
背景情况:
- 查和监测对于预防腹腔大动脉动脉瘤 (AAA) 破裂至关重要.
- 自然语言处理 (NLP) 提供了一种评估监控有效性的新方法.
- 这项研究评估了NLP在确定AAA监测患者中的作用.
研究的目的:
- 评估自然语言处理 (NLP) 软件在评估腹腔大动脉瘤 (AAA) 监测中的有效性.
- 用NLP识别患有AAA的患者,并确定他们是否遵守监测协议.
主要方法:
- 利用NLP软件分析了来自单一机构的7年成像报告.
- 确定了一组患有腹腔大动脉动脉瘤 (AAA) 的患者队列.
- 审查电子病历以收集人口统计数据并评估监督合规性.
主要成果:
- 在NLP中,有1424名患有AAA的患者被确定; 77.6%是男性,平均年龄为74±10岁.
- 只有39%的患者受到积极监测; 61%的患者没有参与推的监测.
- 监管合规性在性别,种族或种族方面没有显著差异.
结论:
- 很大一部分患有腹腔大动脉动脉瘤的患者不符合推的监测.
- 通过识别有护理缺口的患者,NLP可以增强传统的查和监测.
- 整合NLP可以通过确保遵守AAA监测协议来改善患者的治疗结果.
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