Building Infusion Center Schedules with Data Science

Speakers

A man wearing glasses, a light blue collared shirt, and a dark blazer poses confidently against a plain white background, embodying professionalism and dedication to Infusion Center Efficiency.
Hugh Cassidy
Chief Data Scientist, LeanTaaS
A man with a full beard and mustache, wearing a brown blazer over a maroon shirt, smiles at the camera against a plain light background, reflecting confidence often seen in leaders focused on Infusion Center Efficiency.
Obehi Ukpebor
Sr. Director, Product Management, iQueue for Infusion Centers, LeanTaaS

Summary

Chair availability and nurse schedules are not the only parameters impacting the infusion schedule. Changing demand patterns, patient flow, nurse lunches, and the ever-changing needs of the infusion center must be taken into account for effective schedule optimization. Additionally, appointment length uncertainty and varying nurse touch times add further layers of complexity that must be managed. Only a data science-driven approach can level-load the schedule and unlock capacity while balancing multiple goals and respecting all needs.
This session will also include a preview of upcoming iQueue features designed to enhance scheduling, streamline operations, and improve workforce planning through smarter tools and data-driven insights.

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