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Process mining for clinical workflows: challenges and current limitations.

Martin Lang1, Thomas Bürkle, Susanne Laumann

  • 1Medical Informatics, University Erlangen-Nuremberg, Germany. martin.lang@m-lang.de

Studies in Health Technology and Informatics
|May 20, 2008
PubMed
Summary
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Process mining, used in Business Process Management, analyzes system data to reveal process structures and conformance. A study found two of seven approaches are somewhat suitable for clinical process mining.

Area of Science:

  • Health Informatics
  • Computer Science
  • Business Process Management

Background:

  • Process mining is an emerging technology for deriving process models from system behavior.
  • It aims to discover unknown process structures, enable consistent process controlling, and quantify conformance.
  • Clinical environments present unique challenges for process mining implementation.

Purpose of the Study:

  • To conduct a detailed hands-on evaluation of established process mining approaches.
  • To assess the suitability of these approaches for the specific challenges within clinical environments.
  • To identify process mining techniques that can be effectively applied in healthcare settings.

Main Methods:

  • A comprehensive review and practical analysis of existing process mining methodologies.

Related Experiment Videos

  • Evaluation of seven distinct process mining approaches against clinical environment requirements.
  • Comparative assessment of the capabilities and limitations of each method.

    • Main Results:

    • None of the seven evaluated process mining approaches fully met all the requirements for clinical environments.
    • Two specific process mining approaches demonstrated partial suitability for clinical process mining.
    • Significant gaps exist in current process mining tools for healthcare applications.

    Conclusions:

    • Established process mining techniques require adaptation or further development for effective use in clinical settings.
    • Further research is needed to refine process mining methods to address the complexities of healthcare processes.
    • The identified suitable approaches offer a starting point for implementing process mining in healthcare.