Health Care

Find out how Danielle reached out to the COPD Foundation as a volunteer to help patients navigate the unknowns of the pandemic.

As the COPD Foundation’s Senior Research Data Analyst, Danielle has 25 years of experience as a data scientist and a data analyst at Johns Hopkins School of Medicine. She's authored dozens of articles and has experience in regulatory and industry consulting.

John uses predictive and prescriptive analytics to help the Cleveland Clinic predict payments and manage risk. He explains more in his video.

John's background is in economics and finance. He's played a key role in helping his organization understand realized revenue from payers and patients, patient risk, and forecasts of key metrics.

Chelsea uses machine learning and SAS^® Viya^® to deploy models that help hospitals manage capacity and resources. She explains how.

As a senior data scientist on the Enterprise Data Science team at Mercy, Chelsea provides analytical insights to clinical operations, perioperative and nursing leadership. She also serves on several COVID-19 initiatives.

Some medical resources were scarce during the pandemic, so Michael developed a model to help Cleveland Clinic optimize necessities.

Michael currently uses machine learning to improve decision making, plus he helps his organization implement analytics. He has deployed numerous tools and projection models and has presented his work at industry conferences.