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COVID-19 and Hospital Capacity Planning


How can data science help to address the COVID-19 crisis? One of the most important ways data science can help is in hospital capacity planning by predicting—for any given hospital—how many beds will be needed, which patients will be discharged, and how much personal protective equipment medical professionals will need. To this end, a team of data scientists at Penn Medicine, in close collaboration with epidemiologists, have built an open-source tool called CHIME that makes such predictions and is being used by decision-makers at Penn Medicine’s network of hospitals in Pennsylvania and New Jersey. In this webinar, Dr. Hugo Bowne-Anderson (DataCamp) and Michael Becker (Penn Medicine) discuss the impact of the COVID-19 crisis on hospitals, how data science can make key predictions, how such predictions are used by decision-makers, and how you can help.


Hugo Bowne-Anderson Headshot
Hugo Bowne-Anderson

Data Scientist

Data scientist, educator, writer and podcaster at OuterBounds
Michael Becker Headshot
Michael Becker

Senior Data Scientist, Penn Medicine

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