Imagine that you had a way to predict accurate start, completion and wait times for every patient's procedure in your hospital. Imagine that you had a system that would automatically repair your schedule in response to inevitable change. Change you deal with all day long – any minute, every day.

Unlike a traditional static, long-term schedule, an Artificial Intelligence Engine powers a Dynamic Patient Itinerary. It sorts through the vast number of constantly changing variables that make your "schedule" obsolete in minutes, and continuously calculates the best itinerary possible for each patient.

A Dynamic Patient Itinerary:
  • Provides time-sensitive "live" patient status
  • Predicts accurate, up to-the-minute procedure start times
  • Delivers interactive access anywhere to all caregivers

A Dynamic Patient Itinerary helps you navigate daily change in the most efficient, stress-free way possible. You'll know exactly what is happening at a glance because the information you need arrives dynamically – automatically optimizing patient flow through your hospital.


Why does a Dynamic Patient Itinerary make a difference?

Wait time adversely impacts both patients and caregivers.

Delays, bottlenecks and backlogs are symptoms of a serious problem with patient throughput which creates a stressful healthcare environment. All of which impact patient safety, satisfaction and timeliness of quality care.

Uncontrolled variability is inherent in healthcare delivery today and impacts all patients in the queue – inpatients, outpatients and emergency patients. This is an issue that frustrates caregivers, impacts each patient’s experience, and affects a hospital’s overall performance.

Other tools designed to help improve a busy hospital's performance, efficiency and operations are often fragmented, siloed, and inadequate to the demands of dynamic environments. None properly address the underlying issues which plague optimal staff performance and the timeliness of quality patient care, which are critical components of patient flow optimization. And, simply working harder cannot solve these problems.

Patient flow problems include:

  • Handoff Errors
  • Inadequate Communication
  • Slow Turn Around Times
  • Inadequate Measurement Tools

Patient Flow has been defined as improving throughput and capacity to allow hospitals to safely provide the optimal level of care for patients. In today’s healthcare reform era and challenging economic environment, improving hospital operational performance while improving safety and patient outcomes is critical to healthcare leadership.

Optimized Patient Flow = Optimal Patient Care. High-quality, optimal care is delivered when every patient is in the right place, with the right information, and at the right time.

 
 
On-Cue's Artificial Intelligence Optimization Engine powers a Dynamic Patient Itinerary in real-time.
 

© 2010 Allocade, Inc. All rights reserved. Allocade and On-Cue are registered trademarks of Allocade, Inc. Reproduction in whole or in part is prohibited without the prior written consent of the copyright holder.