Optimize every step of the infusion journey with integrated operational intelligence. Coordinate scheduling, staffing, pharmacy, and daily operations to improve access, reduce administrative burden, and create more predictable infusion days.
850+
Infusion centers
120+
Health systems
17.5k+
Infusion chairs
$20k
Annual ROI per infusion chair
Infusion centers are managing growing demand across increasingly complex and interconnected workflows. When scheduling, staffing, pharmacy, and capacity decisions are managed separately, teams spend more time coordinating across functions, making it harder to see how one decision affects another throughout the patient journey.
iQueue brings predictive intelligence and automation to scheduling, staffing, pharmacy, and operations, connecting data in real time so teams can anticipate issues, reduce manual coordination, and keep operations aligned.
Coordinate clinic, lab, and infusion scheduling with intelligent recommendations to align appointment demand with available capacity and patient readiness. Use adaptive, demand-driven templates to smooth patient flow, reduce wait times, unlock more usable capacity throughout the day, and make better booking decisions across the patient journey.
Bring expected patient demand together with nurse availability, skills, preferences, coverage requirements, and staffing policies to build more efficient and equitable schedules. Match staffing capacity more closely to expected workload while reducing manual schedule building and supporting balanced workloads throughout the day.
Align medication preparation with when patients are expected to need treatment. Anticipate pharmacy demand, identify bottlenecks, and prioritize drug preparation so medications arrive when needed and treatment stays on schedule.
Give leaders clearer visibility into capacity, throughput, variability, and performance so they can identify issues sooner and make better operational decisions. Benchmark performance, identify opportunities for improvement, and quickly answer questions about how the infusion center is operating.
15%
Increase in patient volume
30%
Reduction in patient wait times
20%
Reduction in drug wait times
Infusion center optimization is the use of data, predictive analytics, and operational workflows to better align patient demand with available capacity, including chairs, nurses, pharmacy resources, and operating hours. Rather than managing scheduling, staffing, and daily operations separately, optimization helps infusion centers anticipate demand, balance workloads, reduce bottlenecks, and make better use of existing resources.
iQueue for Infusion Centers applies predictive and prescriptive analytics across the infusion journey to help teams improve patient access, increase capacity, and create more predictable operations.
iQueue for Infusion Centers helps increase patient access by identifying and unlocking capacity within existing infusion resources. It analyzes patient demand, appointment patterns, treatment durations, chair availability, staffing, and other operational constraints to help centers determine when and where additional patients can be accommodated.
iQueue helps teams optimize scheduling templates, anticipate high- and low-demand periods, identify future capacity constraints, and model opportunities for growth. This allows infusion centers to serve more patients while making better use of existing chairs, staff, and operating hours.
iQueue connects scheduling and staffing decisions to actual and forecasted patient demand. On the scheduling side, it uses historical patterns and predictive analytics to create demand-driven scheduling templates, identify future problem days, and help teams distribute appointments more effectively throughout the day.
For staffing, Workforce Optimization forecasts unit-level demand and helps teams build nurse schedules that align coverage with expected patient needs while accounting for shift rules, preferences, PTO, and fairness. iQueue also supports daily nurse planning and patient assignment, helping teams balance workloads as the day unfolds.
iQueue helps infusion and oncology pharmacy teams better align medication preparation with patient demand. Because pharmacy readiness can directly affect infusion flow, iQueue brings pharmacy operational data together with expected treatment demand to help teams anticipate what medications will be needed and when.
Pharmacy capabilities help teams forecast drug demand, identify opportunities for advance preparation, prioritize preparation based on patient need, and measure turnaround times and delays. This gives pharmacy and infusion teams greater visibility into where bottlenecks are occurring and how pharmacy operations affect downstream patient flow and capacity.
iQueue uses AI, machine learning, predictive analytics, and mathematical optimization to turn complex infusion data into operational recommendations. Rather than relying only on historical dashboards, iQueue forecasts demand and capacity needs and helps teams determine what actions to take.
Across infusion operations, these capabilities can help teams optimize scheduling templates, identify capacity constraints, forecast staffing needs, balance nurse workloads, prioritize pharmacy preparation, and surface scheduling opportunities.
Newer AI-powered experiences also make iQueue easier to interact with by helping users find information, generate reports, and act on recommendations within their workflows.
iQueue works alongside existing EHRs and infusion workflows rather than replacing them. EHRs remain the system of record for clinical documentation, orders, appointments, and other patient information, while iQueue adds a layer of operational intelligence designed specifically for managing infusion capacity and workflows.
iQueue integrates with leading EHR environments and uses operational data to generate forecasts, optimized scheduling templates, staffing plans, patient assignment recommendations, capacity insights, and other actionable guidance. This allows schedulers, nurses, pharmacists, and operational leaders to incorporate iQueue recommendations into their existing workflows while continuing to use their EHR.
Infusion centers using iQueue have increased patient access and throughput, reduced wait times, and improved utilization of existing capacity. Results vary by organization and use case, but documented customer outcomes include:
Across its customer base, iQueue demonstrates how infusion centers can use operational intelligence to expand access and capacity while improving the experience for patients and staff.
Take the first step towards unlocking capacity, generating ROI, and increasing patient access.
When we started with iQueue we had an average daily volume of 98 appointments a day and we now have 117 appointments per day. So that’s about an average of 19 new patients, new appointments that we are seeing each day or 95 additional appointments throughout the week…essentially we have added an entire day of treatment to our week.