授权前线决策通过自助服务分析在团结健康多伦多的电子患者记录系统
Mark McPherson1, Brian Lo1,2, Victoria Pelletier1
1Unity Health Toronto, Toronto, Canada.
Studies in health technology and informatics
|February 13, 2026
概括
多伦多团结健康在他们的电子患者记录 (EPR) 系统中为员工提供了自助式分析培训. 这一举措显著增加了数据获取和决策,促进了数据驱动的文化.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据分析.
- 组织学习 组织学习
背景情况:
- 多伦多的团结健康旨在使其电子患者记录 (EPR) 系统中的数据访问民主化.
- 需要减少对数据检索和分析的集中分析团队的依赖.
研究的目的:
- 实施一项大规模的分析教育计划,以促进自助服务分析.
- 在运营用户中促进文化转变,从数据依赖到数据赋权.
主要方法:
- 提供了关于自助报告工具和预开发的分析仪表板的全面培训.
- 专注于以用户为中心的设计,治理和能力建设,以嵌入分析到日常运营中.
主要成果:
- 实现了仪表板使用量的150倍增长 (从90个月浏览量增加到超过14500个月浏览量).
- 制定了一个有针对性和强大的培训计划.
- 观察到数据素养和决策响应能力的改善.
结论:
- 在以用户为中心的设计和能力建设的支持下,自助式分析对学习健康系统至关重要.
- 该计划成功地为前线人员提供了访问和对临床和操作数据采取行动的设备.
- 嵌入分析促进了数据赋权,并提高了组织的响应能力.
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