COVID-19 Hospital Capacity Management using Mathematical Models

webinar

COVID-19 Hospital Capacity Management using Mathematical Models

Webinar Summary

As hospitals cope with COVID-19 surges, critical resources like ICU beds have become scarce. Data-driven strategies to coordinate care among different hospitals can lead to better utilization of the available capacity, improved access to resources, reduced burden to hospitals and staff, and better patient care. This webinar discusses the mathematical models that match COVID-19 demand with available resources in a network of hospitals.

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 we use mathematical optimization to determine optimal strategies to reduce the burden of COVID-19 on hospitals. We focus on patient transfer strategies.
How optimally coordinated transfers have the potential to significantly help hospitals cope with COVID-19 surges and balance uneven loads among hospitals.

Meet the Experts

View Bio

Kimia Ghobadi

Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University

Kimia Ghobadi

Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University

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COVID-19 Hospital Capacity Management using Mathematical Models

Webinar Summary

Meet the Experts

Kimia Ghobadi

Kimia Ghobadi

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