Optimizing Infusion Center Operations with iQueue

This document is a technical report detailing the implementation and outcomes of the iQueue for Infusion Centers, a solution developed in partnership with LeanTaaS. The report outlines the challenges faced by various cancer centers, including long patient wait times, inefficient resource utilization, and high overtime costs. It describes how iQueue uses data science and machine learning to create optimized scheduling templates, which have been deployed across multiple cancer centers. The report presents specific results from several institutions, including Stanford Cancer Center, Penn Medicine, OHSU, UCHealth, and Texas Oncology, highlighting improvements such as reduced wait times, increased patient volumes, and enhanced nursing satisfaction. The document emphasizes the effectiveness of iQueue in managing infusion center operations by leveling patient flow and maximizing chair usage, ultimately leading to better patient care and operational efficiency. The report concludes with a summary of the benefits observed post-implementation, showcasing the positive impact on both staff and patients.