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Summary
This summary is machine-generated.

This study converts medical event logs into standardized formats, enabling process mining for healthcare analysis. The approach was tested on simulated data, paving the way for improved hospital processes.

Keywords:
Data MiningElectronic Health RecordsHealth CareProcess AssessmentStandard of Care

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Area of Science:

  • Health Informatics
  • Process Mining
  • Data Standardization

Background:

  • Medical information systems generate event logs, but lack standardization for process mining.
  • Existing event logs are unsuitable for advanced analytical techniques like process mining.

Purpose of the Study:

  • To enrich medical event logs for effective process mining.
  • To enable the analysis of healthcare processes using standardized data formats.

Main Methods:

  • Developed a method to convert events from standards-based repositories.
  • Transformed medical event data into XES (eXtensible Event Stream) and OCEL (Object-Centric Event Log) formats.
  • Utilized simulated data from the Austrian breast cancer screening program for testing.

Main Results:

  • Successfully converted medical event logs into process mining-compatible formats.
  • Demonstrated the feasibility of the conversion approach using simulated healthcare data.

Conclusions:

  • The developed approach facilitates the use of medical event logs in process mining.
  • Future applications include analyzing care guidelines and optimizing hospital operational processes.