Yi Whitley M, Bernstein Adam, Vest Mary-Haston, Colmenares Evan W, Francart Suzanne
UNC Hospitals, Chapel Hill, USA.
UNC Health Care, Morrisville, USA.
Hosp Pharm. 2021 Oct;56(5):495-500. doi: 10.1177/0018578720920799. Epub 2020 May 20.
The purpose of this article is to offer key recommendations based on the authors' experiences for utilizing pharmacy analytics to support moving beyond standard-of-practice operational metrics towards high impact reporting to drive day-to-day decisions for frontline leaders. There is a continuous and vast amount of data generated through all facets of a health system's daily operations, yet many data elements go unused and fail to contribute to value creation and increased performance at an organizational level. It is critical, therefore, for departments of pharmacy to identify and implement effective strategies to leverage data through robust business analytics and reporting, ensuring managers at every level are provided the information they need to support data-driven decisions and meaningful interventions in the day-to-day operations of the organization. At the authors' institution, development and growth of a dedicated Pharmacy Analytics (PA) team has been instrumental to the pharmacy department for generating value and proactively supporting a business intelligence strategy that focuses on a data-driven management culture. Key recommendations to leverage pharmacy analytics are provided within four overarching themes: building transparency, leveraging synergy, optimizing actionability, and prioritizing partnerships. Through creation of a data-driven management culture, the authors provide recommendations for leveraging pharmacy analytics to reduce costs and impact outcomes across a range of hospital pharmacy operations.
本文旨在根据作者的经验提供关键建议,以便利用药学分析,从基于实践标准的运营指标,转向具有高影响力的报告,从而为一线领导者推动日常决策提供支持。通过卫生系统日常运营的各个方面会持续产生大量数据,但许多数据元素未被利用,无法在组织层面为价值创造和绩效提升做出贡献。因此,药学部门必须确定并实施有效的策略,通过强大的商业分析和报告来利用数据,确保各级管理人员都能获得所需信息,以支持数据驱动的决策,并在组织的日常运营中进行有意义的干预。在作者所在的机构,一个专门的药学分析(PA)团队的发展壮大对药学部门产生价值并积极支持以数据驱动的管理文化为重点的商业智能战略起到了重要作用。利用药学分析的关键建议包含在四个总体主题中:建立透明度、利用协同作用、优化可操作性以及优先建立伙伴关系。通过创建数据驱动的管理文化,作者提供了利用药学分析降低成本并影响一系列医院药学运营结果的建议。