How Boston Children’s Hospital Provided Instant Analysis of COVID-19 Data to Researchers using AtScale and Tableau Technology
公司规模
1,000+
地区
- America
国家
- United States
产品
- AtScale’s Cloud OLAP
- Tableau
技术栈
- Cloud OLAP
- Tableau visualizations
实施规模
- Enterprise-wide Deployment
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 大数据分析
- 分析与建模 - 实时分析
适用行业
- 医疗保健和医院
适用功能
- 产品研发
用例
- 公共预警与应急响应
- 实时定位系统 (RTLS)
服务
- 数据科学服务
关于客户
Ranked the #1 pediatric hospital in the nation by U.S. News and World Report, Boston Children’s Hospital is dedicated to improving and advancing the health and well-being of children around the world through its life-changing work in clinical care, biomedical research, medical education and community engagement. They treat more children with rare diseases and complex conditions than any other hospital in the world. Boston Children’s Hospital is the primary pediatric teaching hospital for Harvard Medical School.
挑战
When COVID-19 hit the US, public health officials scrambled to collect and analyze as much data as possible about the disease to better understand and share its impact with the public and Centers for Disease Control (CDC). The Boston Children’s Hospital (BCH) team introduced CovidNearYou.org as a way to crowdsource self-reported symptom data so that public health officials could derive insights about the spread of the disease across North America. Their challenge was to be able to quickly query all the data being collected from a variety of sources and visualize the results so that their research partners could identify patterns and stop the spread of the disease. It was a manual, time-consuming process.
解决方案
Working with technology partners AtScale and Tableau, the experts at Boston Children’s Hospital were able to seamlessly provide CovidNearYou.org data to public health partners through a live connection between Tableau and the data. Using AtScale’s Cloud OLAP model and Tableau visualizations, Boston Children’s Hospital researchers are able to extract insights from data to help inform the public and the CDC on the state of COVID-19 in real time. Public health officials are able to leverage the self-reported COVID data to develop features for their predictive models, visualize the data in multiple formats and work with recommendations from the CDC to broaden their definitions COVID-like Symptoms.
运营影响
数量效益
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