在荷兰的初级保健中,CodeX有效地识别了高风险的喘或COPD患者,支持指导方针驱动的治疗
Iris van Geer-Postmus1, Marika T Leving2, Yoran H Gerritsma2
1General Practitioners Research Institute, Prof. ED Wiersmastraat 5, Groningen, 9713 GH, The Netherlands.
Therapeutic advances in respiratory disease
|April 30, 2025
概括
代码X算法有效地识别了喘和COPD患者报告不足的肺部发作 (LA). 该工具通过跟踪LA频率和治疗,帮助初级保健提供者管理高风险个体.
科学领域:
- 肺部医学 肺部医学
- 医疗信息学 医疗信息学
- 临床算法开发 临床算法开发
背景情况:
- 预防肺部发作 (LA) 或恶化对于管理喘和慢性阻塞性肺病 (COPD) 至关重要.
- 肺部发作在电子病历中经常被低估,这阻碍了有效的患者管理.
- 准确识别LA对于优化呼吸道疾病治疗策略至关重要.
研究的目的:
- 开发和评估CodeX喘和COPD,用于识别肺部发作的新算法.
- 评估这些算法在初级保健机构的有用性,以检测未记录的LAs.
- 为初级保健提供者提供一个工具,以更好地管理患有喘和COPD的患者.
主要方法:
- 开发一种基于电子医疗记录的算法,名为CodeX 喘和COPD.
- 在荷兰的九个一般实践中实施和评估算法.
- 对患者数据的回顾性分析,以确定特定时期的LA.
主要成果:
- 在一年内,CodeX Asthma在1164名患者中确定了479名LA,只有16%的患者得到官方记录.
- 在3年内,CodeX COPD在242名患者中检测到321个LA,只有两个记录.
- 这些发现凸显了在常规临床实践中LAs的严重报告不足.
结论:
- 在喘和COPD患者中,CodeX算法成功地识别了以前未记录的肺部发作.
- 这些算法为初级保健提供者提供了一种简单的方法来识别高风险患者.
- 这通过评估LA频率和潜在的治疗问题来促进更紧密的患者管理.
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