乳腺癌学习卫生系统:来自数据和分析平台的患者信息描述了所提供的护理
Mark N Levine1,2, Joel Kemppainen3, Morgan Rosenberg3
1Department of Oncology McMaster University Hamilton Ontario Canada.
Learning health systems
|July 22, 2024
概括
一个学习健康系统 (LHS) 的新数据平台描述了乳腺癌护理,揭示了死亡率的社会经济差异和临床指导方针的不同采用. 这种数据基础设施是未来实践改进的关键.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 癌症 护理 提供 研究 研究
背景情况:
- 学习健康系统 (LHS) 将数据整合到临床实践中,以实现持续改进.
- 一个新的数据和分析平台可以促进LHS在区域癌症中心的实施.
- 描述乳腺癌患者的护理对于确定改善领域至关重要.
研究的目的:
- 展示一个新的数据和分析平台如何能够实现学习健康系统 (LHS).
- 描述区域癌症中心为乳腺癌患者提供的护理.
- 评估临床实践指南和政策变化对护理提供的影响.
主要方法:
- 从数据平台中提取社会经济信息,瘤特征,治疗方法和结果.
- 结合提取的数据来描述患者群体及其临床过程.
- 通过提取相应的数据来评估临床实践指南 (CPG) 和政策变化的影响.
主要成果:
- 包括5768名乳腺癌患者 (平均年龄62.5岁);74.6%的侵入性导管癌,77%的ER阳性,15.5%的HER2阳性.
- 收入最低的患者的死亡率更高. 准则的采用有显著的差异 (例如,辅助剂双酸的8%与珀图祖马布的64%).
- 一个COVID-19政策缩短辐射后乳房保护手术 (BCS) 导致显著减少五个分数.
结论:
- 数据平台成功地描述了乳腺癌的治疗和临床过程.
- 响应监管和政策转变的实践变化是可衡量的.
- 建立一个强大的数据平台是LHS的基础,下一步是数据反以推动实践变化.
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