iQueue for Infusion Centers: Optimizing Capacity and Lowering Healthcare Delivery Costs

Abstract/Description

Infusion scheduling has always been a hard problem to crack. With operational constraints, varying nurse schedules, and very sick patients it is hard to construct a flawless schedule that fits the needs of everyone involved. iQueue for Infusion Centers by LeanTaaS uses data science, machine learning and predictive analytics to help centers stay operationally agile by optimizing their scheduling templates, level-loading the daily schedule across the nursing staff, flagging future problem days for preventive action, and identifying which appointments should be rescheduled to improve the experience for patients and staff alike.

The result:

• $20K per chair per year improvement in increased revenue
• 30 – 50% lower patient wait times and increased agility and resilience
• 15% more patients served
• Significant increase in nurse satisfaction, reducing burnout and preserving increasingly scarce nursing resources

Download this case study booklet to learn how infusion centers from across the country are benefitting from iQueue for Infusion Centers.

Highlights include:

• Stanford Health Care lowered emergency call back overtime pay by 78% and saw 25% higher percentile points in nurse satisfaction
• NewYork-Presbyterian saw a 55% decrease in wait times at peak hours while patient volumes went up by 17%
• SSM Health reduced wait times by 44% while accommodating 18% higher patient volumes
• Penn Medicine increased their patient volumes by 25% without adding infusion chairs
• Oregon Health and Sciences University decreased their days running past scheduled close by 31%