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Process mining-driven analysis of COVID-19's impact on vaccination patterns.

Adriano Augusto1, Timothy Deitz1, Noel Faux1

  • 1The University of Melbourne, Australia.

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Summary
This summary is machine-generated.

Process mining techniques were adapted for healthcare event logs, revealing distinct patient service utilization patterns during the COVID-19 pandemic. Notably, vaccinations surged in 2020, contrasting with other healthcare interactions.

Keywords:
COVID19Data analysisHealthcare processesProcess miningVaccination

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Area of Science:

  • Process mining
  • Data mining
  • Healthcare analytics

Background:

  • Process mining, bridging data mining and process science, analyzes event logs.
  • While beneficial in business, its application in healthcare presents unique challenges.
  • Existing research highlights the potential of process mining in healthcare contexts.

Purpose of the Study:

  • To develop a methodology for preparing and analyzing healthcare process data using process mining.
  • To identify challenges and benefits of process mining techniques with complex healthcare data.
  • To compare patient health service utilization patterns in 2020 (COVID-19 pandemic) with 2016-2019.

Main Methods:

  • Data preparation for general practice healthcare process mining.
  • Selection and application of suitable process mining tools.
  • Integration of process mining with traditional data mining techniques.

Main Results:

  • Identified key challenges in applying process mining to healthcare data, particularly with high variability and large datasets.
  • Highlighted benefits and limitations of current process mining techniques in healthcare.
  • Demonstrated a surge in influenza and pneumococcus vaccinations in Victoria during 2020, contrary to general trends.

Conclusions:

  • The developed methodology enables effective process mining analysis of healthcare data.
  • Process mining can reveal specific utilization patterns, such as increased vaccinations during the pandemic.
  • Findings contrast with other studies, emphasizing geographical and contextual differences in healthcare utilization.