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在初级保健中确定符合澳大利亚国家肺癌查计划的合格患者:使用临床决策支持系统并评估PLCO_m2012数据质量的横截面研究

Lucas De Mendonça¹, Shakira Onwuka², Sarah York³

¹Department of General Practice and Primary Care, University of Melbourne, Australia.

Lung cancer (Amsterdam, Netherlands)

|December 20, 2025

概括

临床决策支持系统 (CDSS) 可以帮助确定初级保健中的肺癌查候选人. 然而,电子医疗记录 (EMR) 数据质量限制了这些工具对国家肺癌查计划 (NLCSP) 的准确性.

科学领域:

公共卫生公共卫生
医疗信息学医疗信息学
在瘤学瘤学.

背景情况:

初级保健在澳大利亚国家肺癌查计划 (NLCSP) 患者鉴定中起着至关重要的作用.
与电子医疗记录 (EMR) 集成的临床决策支持系统 (CDSS) 可以帮助识别符合条件的个人.
准确的识别是最大限度地参与肺癌查计划的关键.

研究的目的:

评估CDSS算法的准确性,该算法旨在识别澳大利亚全科医院EMR中符合NLCSP条件的患者.
使用经过审计的EMR吸烟数据估计NLCSP资格的流行率.
评估EMR数据的质量,以实施风险预测工具,如PLCOm2012.

主要方法:

开发一个CDSS算法,针对50-70岁的目前或曾经吸烟的个人.
从五个维多利亚州的一般实践中对EMR数据进行横截面审计,涉及手动审查标记的记录.
对PLCOm2012风险预测工具所要求的关键变量数据完整性的评估.

主要成果:

根据年龄和吸烟状况的标准,CDSS算法准确地识别了患者.
手动审计证实了6.9%的标记患者符合NLCSP的资格,目前吸烟者 (9.2%) 和前吸烟者 (3.6%) 的比例更高.
对于PLCOm2012变量发现了显著的数据缺口,包括教育水平的100%缺失数据.

结论:

对于识别潜在的NLCSP参与者,CDSS工具是有前途的,但需要强大的吸烟数据确认.
目前的EMR数据质量不足以通过CDSS实施先进的风险预测模型,如PLCOm2012.
改善EMR数据收集和质量是必要的,以提高肺癌查计划的效率.

关键词:

临床决策支持系统临床决策支持系统数据质量数据质量数据质量肺癌查肺癌查肺癌查在2012年的PLCOm.主要的护理是初级保健.

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