Analyzing Data Quickly to Make Medical Breakthroughs
公司规模
Large Corporate
地区
- America
国家
- United States
产品
- Sisense
技术栈
- Sisense
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 应用基础设施与中间件 - 数据可视化
- 分析与建模 - 预测分析
- 分析与建模 - 实时分析
适用行业
- 医疗保健和医院
适用功能
- 质量保证
- 商业运营
用例
- 质量预测分析
- 过程控制与优化
服务
- 培训
- 系统集成
关于客户
The Arizona Department of Health Services is a state agency dedicated to improving the health and wellness of all Arizonans. They partner with public and private entities to collect and analyze health data, including newborn screenings for 28 blood disorders. The department handles data from over 90,000 newborns annually, working closely with hospitals across Arizona. Their mission is to ensure timely and accurate health information is communicated to physicians, hospitals, and parents, enabling early detection and treatment of potential health issues in newborns.
挑战
The Arizona Department of Health Services faced significant challenges in quickly analyzing data from newborn screenings. The process was labor-intensive and relied heavily on Excel spreadsheets, making it difficult to identify trends and quality issues in a timely manner. This delay in data analysis could lead to serious health consequences for newborns, as early detection and treatment of disorders are crucial. The department needed a more efficient and user-friendly solution to manage and analyze the data effectively.
解决方案
The Arizona Department of Health Services adopted Sisense to address their data analysis challenges. Sisense provided an easy-to-use platform with simple dashboards and interactive data drilling capabilities. This allowed the department to analyze data immediately and identify quality issues quickly. The onboarding process was straightforward, with training and online resources available to help staff get up to speed. Sisense enabled the department to automate data loading and analysis, eliminating the need for manual data preparation and reducing the reliance on Excel spreadsheets. The tool went live in just a day, and within a week, the IT team was able to start development work and share prototypes with stakeholders.
运营影响
数量效益
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