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路易斯维尔大学卫生(UofL Health)从其EMR中手动提取COVID-19疫苗管理数据,并将其与库存数据相结合,每周进行耗时的核对。它缺乏必要的洞察力来有效地模拟和预测库存需求,以便在不耗尽第二剂供应的情况下尽可能多地管理第一剂。UofL Health希望找到一种方法来整合来自不同来源的数据,以获得所需的COVID-19疫苗库存管理和预测、管理数据质量/安全性以及所需的监管报告。
Utilizing the Health Catalyst®Data Operating System (DOS™) platform and a robust suite of analytics applications, UofL Health leveraged a vaccine inventory management tool, enabling vaccine administration modeling, inventory demand forecasting, and accurate regulatory report generation.
UofL Health can rapidly analyze vaccine administration data and inventory status reconciliations with full confidence. Leading-edge analytics capabilities include modeling vaccination schedules and forecasting future inventory needs for recommended first and second doses of the vaccine. Precision tracking and sophisticated predictive modeling maximize the number of first doses administered while ensuring people receive the second dose on time.
及时获得综合数据简化了向地方和州机构提交所需监管报告的流程。结合模型库存数据,这些报告为增加未来疫苗出货量的请求提供了支持文件,最大限度地提高UofL Health的疫苗接种性能。医生领导报告和疫苗接种数据的特别请求现在可以快速交付,为文件质量和患者安全提供可操作的见解,从而及时解决问题。
UofL Health’s COVID-19 vaccination tracking and reporting solution provides it with the necessary data analytics to quickly and accurately model vaccination schedules, forecast vaccine supply needs, identify and resolve quality/safety concerns, and generate required regulatory reports.
“The DOS platform at UofL Health brings data together from several core applications allowing the organization to provide a quick turnaround on critical solutions, including the COVID Vaccination Administrator. The deployment of DOS has enabled cutting-edge, timely insights to improve clinical and financial outcomes.”
– Alok Chaudhary, AVP, Business Intelligence & Data Analytics, Information Technology
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