使用图形理论在链接的医疗保健数据中灵活构建患者旅程
Ian Powell1, Zhisheng Sa1, Branislav Igic1
1NSW Ministry of Health, Locked Bag 2030, St Leonards NSW 1590, Australia.
International journal of population data science
|October 13, 2025
概括
一个新的图形理论算法将患者记录分为医院护理期间,改进了流行病学研究. 这种灵活的方法从复杂的健康数据准确地重建了患者的旅程.
科学领域:
- 医疗信息学 医疗信息学
- 流行病学 流行病学
- 数据科学数据科学数据科学
背景情况:
- 连接住院患者数据对于流行病学研究至关重要.
- 了解患者在多个记录中的完整旅程对于准确的卫生系统使用分析至关重要.
研究的目的:
- 开发一种灵活和可通用的方法来汇总行政入院患者记录.
- 创建医院护理的不同时期,准确地跟踪患者从入院到出院.
主要方法:
- 开发了一个图形理论算法,将患者记录分组为医院护理期间.
- 该算法适应复杂的住院模式,包括转移和重叠记录.
- 为了实现算法,创建了一个R包"journeyer".
主要成果:
- 该算法应用于新南威尔士州的入院患者数据收集.
- 它从22,794,746个医院记录中确定了21,405,451个医院护理期间.
- 算法的参数被评估并被认为适合数据集,并为更广泛的应用提供了指导.
结论:
- 开发的方法增强了流行病学研究的数据准备.
- 该方法可将其推广到其他司法管辖区的住院患者数据.
- 未来的扩展可以纳入救护车和急救部门的数据,以便更全面地分析患者的旅程.
关键词:
图形理论中的图形理论.卫生行政数据 卫生行政数据住院治疗 住院治疗在住院患者.链接数据链接数据链接链接记录 链接记录 链接记录患者的旅程 患者的旅程在医院护理期间.软件软件 软件 软件 软件 软件更多相关视频
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