Since the start of the pandemic, ICUs have been struggling to keep up with the influx of patients infected with the COVID-19 virus, leaving researchers considering one question: how can we better prepare organizations to improve patient care and optimize ICU utilization?

In a recent study, Panalgo researchers addressed that question by identifying predictors of ICU utilization with machine learning analytics. 

In this snapshot, we'll cover:

• The challenge, solution, and results of this RWE study

• How researchers used machine learning analytics techniques to identify predictors of ICU use

• How these findings can be used to improve care for COVID-19 patients and better prepare organizations