University of Rochester Medical Center First in New York to Utilize Artificial Intelligence System to Improve Patient Experience and Maximize Efficiencies
Market Wire, December, 2009
The University of
Rochester Medical Center (URMC) and Allocade, Inc., today announced the
first installation and implementation of the On-Cue system in New York.
URMC is utilizing the On-Cue software solution from Allocade to automate
patient flow throughout the hospital and improve operational efficiencies
by creating dynamic patient itineraries. The On-Cue system utilizes
artificial intelligence, offering healthcare an efficient operating system
that helps caregivers to effectively manage patient flow and logistics.
“On-Cue enables scheduling dynamically, across departments, which has
resulted in improved resource utilization throughout the enterprise,” said
David Waldman, M.D., Ph.D., Chairman of URMC’s Department of Imaging
Sciences. “The software system not only addresses workflow issues, but also
assists with coordination and communication between different departments
and caregivers throughout the hospital. We now have a common view of each
patient’s daily itinerary — and in a hospital our size, the operational
improvements are significant.”
The On-Cue system was designed to minimize the impact of unpredictable
disruptions in scheduling across the hospital by streamlining coordination
and communications amongst all caregivers. Utilizing artificial
intelligence algorithms, On-Cue creates a dynamic patient itinerary of each
patient’s resource plan of care for inpatients, outpatients and emergency
department patients. The itinerary is continually adjusted in real-time as
conditions change and it communicates to all caregivers instantaneously.
“The benefits of On-Cue were visible to us immediately,” said Constance
White, Director of Clinical Operations for the Department of Imaging
Sciences at URMC. “Our facility almost always runs at full capacity, and
our department spans almost 45,000 square feet on one floor, with scanners
in three separate locations spread far apart across our department’s
footprint. With On-Cue, we are providing our patients with more prompt
care, thanks to the fact that we’re now able to effectively communicate and
load balance between our scanners, dispersing patients more evenly and
efficiently. As a result, turn around time — the time between exam order
and exam completion — has been reduced. Our operations are becoming more
efficient, and our patient satisfaction is increasing.”
The origin of the On-Cue technology comes from NASA, where Allocade’s
Founder and Chief Technology Officer, Don Rosenthal, led the Artificial
Intelligence Applications Group at the NASA Ames Research Center. The
underlying On-Cue engine is the result of Rosenthal’s work to optimally
utilize the limited resources on the Hubble Space Telescope. The On-Cue
software leverages the information already available in Hospital
Information Systems (HIS), Radiology Information Systems (RIS) and
Electronic Medical Records (EMR).
“We designed the On-Cue system to help departments within an enterprise to
maximize resource capacity, improve their patients’ experience and reduce
the organization’s overall operating costs,” said Rick Smith, President and
CEO, Allocade
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