Leveraging Artificial Intelligence to Reduce Neuroscience ICU Length of Stay.
Journal:
Journal of healthcare management / American College of Healthcare Executives
PMID:
40059204
Abstract
GOAL: Efficient patient flow is critical at Tampa General Hospital (TGH), a large academic tertiary care center and safety net hospital with more than 50,000 discharges and 30,000 surgical procedures per year. TGH collaborated with GE HealthCare Command Center to build a command center (called CareComm) with real-time artificial intelligence (AI) applications, known as tiles, to dynamically streamline patient care operations and throughput. To facilitate patient flow for our neuroscience service line, we partnered with the GE HealthCare Command Center team to configure a Downgrade Readiness Tile (DRT) to expedite patient transfers out of the neuroscience intensive care unit (NSICU) and reduce their length of stay (LOS).