Unrecognized clinical deterioration during illness requiring hospitalization is associated with high risk of mortality and long-term morbidity among children. In this podcast hosted by Maureen A. Madden, DNP, RN, CPNP-AC, CCRN, FCCM, Anoop Mayampurath, PhD, discusses a novel machine learning model that identifies ICU transfers in hospitalized children more accurately than current tools.

SCCM Pod-461 PCCM: A Novel Machine Learning Model to Predict PICU Transfer

The Society of Critical Care Medicine (SCCM) Podcast features in-depth interviews with leaders in critical care. Experts discuss hot topics in intensive care with perspectives from all members of the critical care team. Guests include authors from SCCM’s peer-reviewed journals, Critical Care Medicine, Pediatric Critical Care Medicine, and Critical Care Explorations, as well as thought leaders within the field. This is a new and updated channel, formerly known as the iCritical Care Podcast All Audio Channel.

Share SCCM Pod-461 PCCM: A Novel Machine Learning Model to Predict PICU Transfer

Sign up to save your podcasts

SCCM Pod-461 PCCM: A Novel Machine Learning Model to Predict PICU Transfer

SCCM Pod-461 PCCM: A Novel Machine Learning Model to Predict PICU Transfer