Webinar – COVID-19 Hospital Capacity Management Using Mathematical Models
Please join us for an upcoming webinar.
As hospitals cope with surges in COVID-19 cases, critical resources like ICU beds have become scarce. Data-driven strategies to coordinate care among different hospitals can lead to better utilization of available capacity, improved access to resources, reduced burden on hospitals and staff, and better patient care.
Join us for a webinar presented by Kimia Ghobadi, an Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University. She will discuss the mathematical models that her team developed, which match COVID-19 demand with available resources in a network of hospitals through patient transfer.
In this webinar you will learn:
- How system-level approaches to healthcare capacity can improve resilience against surges, ensure better use of available capacity, increase efficiency, and improve access and care for patients.
- How mathematical optimization can be used to determine optimal strategies to reduce the burden of COVID-19 on hospitals.
- How optimally coordinated patient transfers have the potential to significantly help hospitals cope with COVID-19 surges and balance uneven loads among hospitals.
The benefits of this approach will be demonstrated on a publicly available dashboard using real-world data.
There are two sessions to choose from, click below to register: