NewYork-Presbyterian Reduced Average Wait Times by 40%

55% Lower waiting times at peak hours
40% Lower average wait time
17% Higher patient volumes

Summary

As part of one of the largest health systems within New York City, NewYork-Presbyterian (NYP) is home to two of the nation’s leading cancer centers. These include the NCI-Designated Herbert Irving Comprehensive Cancer Center of NYP/Columbia University Medical Center, the NYP/Weill Cornell Ronald P. Stanton Clinical Cancer Program, and the Weill Cornell Medicine Sandra and Edward Meyer Cancer Center.

Profile

212 chairs

10 centers

Epic EHR

NCI designation

Academic Medical Center

Northeastern US

Problem

Throughout its facilities, NewYork-Presbyterian treats some 7,500 adult and pediatric patients newly diagnosed with cancer each year. With its large patient population in a dense urban area, NewYork-Presbyterian needed to optimize the infusion capacity it had in a steady, manageable cadence. Infusion centers seemed to constantly operate at capacity but daily schedules were overloaded midday. This “peaky” utilization profile led to extended wait times for patients in the middle of the day, which negatively impacted patient experience and caused undue stress and inconsistent workloads for nurses. 

Solution

To begin solving these challenges, NewYork-Presbyterian leadership turned to iQueue for Infusion Centers, an analytics solution that uses AI and machine learning to create optimized scheduling templates driven by historic appointment data. iQueue’s schedules are designed to continuously maximize patient flow and chair usage by predicting the likely mix and volume of appointments from day-to-day and suggesting the optimal schedule to smooth utilization and allow for adjustments. NewYork-Presbyterian began by implementing iQueue in one of its centers with 49 chairs to create optimized infusion scheduling templates there. 

The center quickly saw results in the form of a flattened midday utilization peak, which allowed for better level-loading throughout the rest of the day. Wait times were reduced accordingly, and NewYork-Presbyterian was also able to accommodate a higher number of patients. NewYork-Presbyterian has now expanded its use of iQueue to 5 hospitals in its system.

Download the full iQueue for Infusion Centers case study booklet

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Chapter 1: The Looming Challenge

If you work in the healthcare industry, or even if you’re just an interested observer, you don’t need a book to tell you that the financial pressure is on as never before. A perfect storm of circumstances is swirling together, one that will make survivability, not to mention profitability, a greater challenge for healthcare companies than we’ve seen in the modern era.

As with banks, retailers, and airlines, which had to rapidly enhance their brick-and-mortar footprints with robust online business models—it is the early movers eager to gain new efficiencies that will thrive and gain market share. The slow-to-move and the inefficient will end up being consolidated into larger health systems seeking to expand their geographical footprints.

The pressures on healthcare

Let’s look at just a few of the looming challenges healthcare must meet head-on.

An aging population

By the year 2030, the number of adults sixty-five years of age or older will exceed the number of children eighteen years or younger in the United States. We are living longer than our parents did. Positive news for sure, but problematic for several reasons.

The older we get, the more medical help we need. Older people have more chronic diseases. By 2025, nearly 50 percent of the population will suffer from one or more chronic diseases that will require ongoing medical intervention. This combination of an aging population and an increase in chronic diseases will create a ballooning demand for healthcare services.