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Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients by Augusto, Adriano; Deitz, Timothy; Faux, Noel; Manski-Nankervis, Jo-Anne; Capurro, Daniel is a scholarly article available to read on EtoBox.

What is Process Mining-Driven Analysis of the COVID19 Impact on the Vaccinations of Victorian Patients about?

Process mining is a discipline sitting between data mining and process science, whose goal is to provide theoretical methods and software tools to analyse process execution data, known as event logs. Although process mining was originally conceived to facilitate business process management activities, research studies have shown the benefit of leveraging process mining tools in different contexts, including healthcare. However, applying process mining tools to analyse healthcare process execution data is not straightforward. In this paper, we report the analysis of an event log recording more than 30 million events capturing the general practice healthcare processes of more than one million patients in Victoria--Australia--over five years. Our analysis allowed us to understand benefits and limitations of the state-of-the-art process mining techniques when dealing with highly variable processes and large data-sets. While we provide solutions to the identified limitations, the overarching goal of this study was to detect differences between the patients` health services utilization pattern observed in 2020--during the COVID-19 pandemic and mandatory lock-downs --and the one observed

Author

Augusto, Adriano; Deitz, Timothy; Faux, Noel; Manski-Nankervis, Jo-Anne; Capurro, Daniel

Published

2021

Language

EN