在一个学术医疗中心的药房部门内实施自助式数据探索工具
Thomas S Achey1,2, Holly R Griffin2
1High Point University, High Point, NC, USA.
Hospital pharmacy
|May 5, 2025
概括
在MUSC健康药房的前线工作人员成功地使用了自助服务数据探索工具Epic SlicerDicer,以提高运营效率和研究生产力. 这种数据驱动的方法增强了决策和专业发展.
科学领域:
- 医疗信息学 医疗信息学
- 药房信息学 药房信息学
- 在医疗保健中的数据科学.
背景情况:
- 医院产生大量的宏观数据.
- 数据科学家的有限访问需要替代数据探索解决方案.
- 学术医疗中心需要员工能力和专业发展的工具.
研究的目的:
- 在学术医疗中心内验证和实施自助式数据探索和报告工具.
- 赋予前线药房工作人员以数据驱动的决策能力.
- 为了提高性能,将一个用户友好的工具集成到日常运营中.
主要方法:
- 电子健康记录 (EHR) 集成的数据探索工具 (Epic SlicerDicer) 的验证.
- 开展教育课程,以促进工具的采用,并满足PAI 2030的建议.
- 利用前线人员在操作和临床环境中进行数据分析.
主要成果:
- 在实施后广泛采用和使用数据探索工具.
- 对运营效率,药物分发和配方管理产生明显影响.
- 对居民研究,质量改进计划和员工满意度产生积极影响.
结论:
- 基于EHR的数据探索工具显著提高了运营效率和成本节省.
- 提高药房工作人员的研究生产力和提高决策能力.
- 为按需,数据驱动的干预和专业成长提供了宝贵的资源.
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