On Wednesday, Jan. 19, Curtis Storlie, Ph.D., a Mayo Clinic data scientist, and Conor Loftus, M.D., chair, Mayo Clinic outpatient practice, addressed questions related to the predictive modeling of COVID-19 and how it’s used at Mayo Clinic.
Shortly after COVID-19 began appearing in the U.S., Mayo Clinic's Predictive Analytics Task Force began tracking it. The team of experts consists of members from Mayo Clinic Quality and the Mayo Clinic Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery. These experts have been involved in building and maintaining predictive modeling for COVID-19 that allows clinic leaders to make informed decisions about hospital operations.
Journalists who have already registered on the News Network can log into their accounts to download a recording of the Zoom briefing found at the end of this post.
Journalists who would like to access the media briefing video can register with the News Network here.
For the safety of its patients, staff and visitors, Mayo Clinic has strict masking policies in place. Anyone shown without a mask was either recorded prior to COVID-19 or recorded in a nonpatient care area where social distancing and other safety protocols were followed.
Information in this post was accurate at the time of its posting. Due to the fluid nature of the COVID-19 pandemic, scientific understanding, along with guidelines and recommendations, may have changed since the original publication date.
Learn more about tracking COVID-19 and COVID-19 trends.