Transforming Perioperative Performance: Uniting AI, Automation, and Change Management

AI is not a trend; it’s a strategic enabler for transformation. To truly reimagine the hospital for the 21st century, health systems must marry AI with automated workflows, normalized data, and change management expertise to navigate through disruption towards results. Long term success also depends upon building a culture that supports ambitious innovation through a […]

Unlocking AI in Infusion Centers: Tackling Tech, Regulation, and Value

Artificial intelligence (AI) promises to transform healthcare by unlocking insights from data that can improve efficiency, lower costs, and enhance patient outcomes. As AI techniques such as machine learning, natural language processing, and computer vision advance, they have the potential to revolutionize clinical care and hospital operations. Leading healthcare organizations are already leveraging AI to […]

Continuous Improvement at Hartford Healthcare’s Infusion Centers: Making the Data Work for You

Hartford Healthcare’s infusion centers have undergone a transformative journey, revolutionizing their operations through advanced preparation strategies and data analytics tools like iQueue. By optimizing chair utilization, strategically allocating nursing resources, managing patient acuity, and balancing nurse workloads, managers have significantly reduced bottlenecks and waste. Advance Preparation methodologies, supported by data-driven decision-making and iQueue for Infusion […]

AI-Powered Hospital Operations: Unlocking Scarce Capacity & Delivering Strong ROI

The foundational math of capacity management, matching supply with demand, is broken. Existing tools and processes need to be fundamentally revamped for health systems to overcome endemic shortages in staffing and capacity, to maximize use of their assets, improve staff satisfaction and create value for patients and themselves. The key is deploying proven and scalable […]

Predicting Infusion Staffing with Acuity Metrics: Is “The Juice Worth the Squeeze”?

Accurately predicting infusion staffing needs is crucial to providing optimal care and maintaining high standards of patient safety.  Oncology infusion centers face unique staffing challenges, however, as patient acuity and related staffing needs can fluctuate rapidly. To address this challenge, infusion centers often utilize patient acuity measures to inform their staffing predictions. But acuity alone […]

The Ties That Bind: Untangling the Linkage Between Clinics & Infusion

In the world of oncology, matching patient demand to supply can be a challenging task, particularly in the infusion and clinic scheduling process. This complex process involves coordinating not only the infusion and clinic schedules but also other interconnected departments such as lab and radiology. By using historical demand patterns and coupled appointment arrival times, […]

How NewYork-Presbyterian/Columbia University Irving Medical Center Used AI to Cut Wait Times by 8% While Allowing for 25% More Same Day Add-On Patients

A busy urban facility, NewYork-Presbyterian/Columbia University Irving Medical Center’s Adult Infusion Center strove to accommodate volume efficiently while providing a positive experience for its many patients. The center was struggling, however, with extended patient wait times, nurses having to stay past closing time, and an inflexible schedule that did not account for no-show and same […]

How Nebraska Medicine and Rush University Cancer Center Leveraged Advanced Analytics to Optimize Infusion Operations for Up to 10% More Patients Served

Infusion scheduling is a complex problem. Capacity, including nurse resources, is limited and fixed, while patients’ need for appointments is unlimited and variable. The mismatch between nurses and patient loads leads to busy midday “peaks” between 10am and 2pm, causing inconsistent nurse workloads, missed lunch breaks and a higher risk of burnout. By instead level loading […]

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