COVID-19 Hospital Capacity Management using Mathematical Models

COVID-19 Hospital Capacity Management using Mathematical Models

In this webinar you will hear from Kimia Ghobadi, she will discuss the mathematical models that her team developed, these models match COVID-19 demand with available resources in a network of hospitals through patient transfer.

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.

 

Presenters

  • Kimia Ghobadi, Assistant Professor in the Department of Civil and Systems Engineering at Johns Hopkins University