Healthcare software developer Allocade is touting findings from the University of Utah that suggest the company's artificial intelligence software for interventional radiology procedures dramatically reduced expenses and improved operations.
Steven Tew, manager of interventional radiology at the University of Utah Hospitals and Clinics, presented the data in a poster session at the AHRA annual meeting being held in Grapevine, TX.
With the addition of On-Cue, an artificial intelligence-based command and control system, the interventional radiology department reduced its overtime costs by 90% and reduced full-time equivalent expenses by 10% to 15%. Patient volume increased, and patients were more satisfied with their experience based on improved Press Ganey scores.
