The pandemic has put immense strain on ICUs, resulting in shortages of staff, beds, personal protective equipment and ventilators. It has also exposed the limitations of traditional predictive algorithms used to predict patient outcomes, manage capacity, and inform triage decisions.
Use of artificial intelligence can help refine the raw data and present more useful knowledge, especially in the ICU setting, by separating the clinically-relevant information from the noise in a data rich environment.
“This results in earlier recognition of changes in patient conditions and their evolving risks,” said Dr. John Frownfelter, chief medical officer at Jvion. “It also allows you to see patients holistically by bringing in data on behavioral risk factors that you wouldn’t be able to see from the clinical data in the EHR.”