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.

Resources:

• Charitable Fund to Help Get PPE to Front-Line Providers

• Slides

• Penn Medicine CHIME

• CHIME Repo

• Penn Data Science Deploy Kit

• Penn Medicine Blog

• Code for Philly

Hugo Bowne-Anderson

Head of Data Science Evangelism and Marketing at Coiled; Previously a Data Scientist at DataCamp

Michael Becker

Senior Data Scientist, Penn Medicine