Task Mining as a Catalyst for Automation: Realizing Process Improvement with Uipath in Healthcare Scheduling

Abstract

The study focuses on task mining and automation with the use of UiPath to increase the efficiency of healthcare scheduling by identifying and automating repetitive tasks and workflows. Task mining comes with UiPath RPA to automate processes with improved efficiency using fewer errors and higher staff productivity. In Cleveland Clinic, NHS Foundation Trust and Mount Sinai Health System, a massive increase in scheduling efficiency, administrative load reduction, and patient access are achieved through examples. The primary contribution of this work is in providing an insight that automation can eliminate planning and scheduling related waste in group health care and social services as there are practical implications for how healthcare operations may be better as a result of automation.