AtScale Case Studies How Boston Children’s Hospital Provided Instant Analysis of COVID-19 Data to Researchers using AtScale and Tableau Technology
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How Boston Children’s Hospital Provided Instant Analysis of COVID-19 Data to Researchers using AtScale and Tableau Technology

AtScale
Analytics & Modeling - Big Data Analytics
Analytics & Modeling - Real Time Analytics
Healthcare & Hospitals
Product Research & Development
Public Warning & Emergency Response
Real-Time Location System (RTLS)
Data Science Services
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.
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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.
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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.
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Seamless provision of CovidNearYou.org data to public health partners through a live connection between Tableau and the data.
Ability 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.
Over one million people in North America have reported their data to CovidNearYou.org.
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