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A declarative approach for interactive process discovery in the clinical domain.

Carlos Fernández-Llatas1, Begoña Martínez-Salvador2, Mar Marcos2

  • 1SABIEN-ITACA, Universitat Politècnica de València, Spain; Dept. of Clinical Science, Intervention and Technology, Karolinska Institutet, Sweden.

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Process mining in healthcare now integrates clinical knowledge for better understanding. This declarative approach enhances process discovery, making models more comprehensible and aligned with treatment procedures.

Keywords:
Clinical knowledgeClinical process discoveryDeclarative expressionsDeclareInteractive process mining

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Area of Science:

  • Health Informatics
  • Process Mining
  • Clinical Informatics

Background:

  • Process Mining (PM) is increasingly used in healthcare to analyze Electronic Health Record data.
  • Clinical processes derived from PM often yield complex, difficult-to-interpret networks.
  • Existing PM methods struggle to align with clinical realities and algorithms.

Purpose of the Study:

  • To integrate specialized clinical knowledge into Process Mining discovery algorithms.
  • To develop an interactive approach for clinical process discovery.
  • To improve the comprehensibility and clinical relevance of discovered process models.

Main Methods:

  • A declarative approach using the Declare formalism is proposed.
  • Clinicians can interactively incorporate their expertise into the PM algorithm.
  • The approach is implemented in the I-PALIA PM discovery algorithm.

Main Results:

  • The declarative interactive approach was successfully implemented.
  • A use case involving prostate cancer treatment demonstrated the approach's utility.
  • The method effectively addresses common challenges in clinical PM.

Conclusions:

  • A novel interactive process discovery approach for the clinical domain is presented.
  • This method enables clinical experts to inject specialized knowledge into PM.
  • The resulting process models are more understandable and accurately reflect treatment pathways.