Using Artificial Intelligence to Identify COVID-19 Patients at High Risk of Clinical Deterioration
The COVID-19 pandemic has challenged hospitals to make careful use of resources, especially for patient subpopulations which are clinically complex. One such subpopulation is admitted COVID-19 patients who are more likely to deteriorate (either moving onto ventilation or dying) within the near future. Learn how the Cerner Intelligence team worked with clients during the COVID-19 pandemic to collect patient deterioration data and build models from admitted COVID-19 patients to identify risk of ventilation and mortality, and how that information can be incorporated into care team workflows.
- Learn how modeling can help a health system assess their needs during a pandemic
- Learn how Cerner’s data scientists work with clients to improve patient outcomes during a pandemic
Start Date: 10/29/2020
Event Type: Archived , College LIVE
Peter Winkelstein MD, MBA, VP and CMIO, Kaleida Health
Randall Wald, Senior Data Scientist, Cerner Intelligence