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Extending a Data Management Maturity Model for Process Mining in Healthcare.

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Summary
This summary is machine-generated.

This study enhances a management tool to improve healthcare processes using process mining. It adds a dimension to assess and improve event data quality for better organizational capability.

Keywords:
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Area of Science:

  • Healthcare Management
  • Process Mining
  • Data Quality Assessment

Background:

  • Continuous improvement in healthcare requires integrated components.
  • Process mining offers significant potential for enhancing healthcare processes.

Purpose of the Study:

  • To extend an existing management tool for assessing and improving organizational capability in process mining.
  • To integrate process mining insights into a maturity model for sharable clinical pathways.

Main Methods:

  • An additional dimension was incorporated into an adoption readiness assessment and maturity model.
  • This dimension focuses on assessing and improving event data quality.

Main Results:

  • The study presents formal and checkpoint assessment approaches.
  • An improvement strategy embedding with examples is also provided.

Conclusions:

  • The new dimension integrates seamlessly with the existing model.
  • Links between event data quality aspects and existing dimensions are established.
  • The model requires validation through a real-world use case.