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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Activity-based process mining for clinical pathways computer aided design.

Carlos Fernandez-Llatas1, Teresa Meneu, Jose Miguel Benedi

  • 1TSB group at ITACA institute, Universidad Politécnica de Valencia, Spain. cfllatas@itaca.upv.es

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|November 25, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a computer-based system for Clinical Pathways (CPs) to improve healthcare standardization. A novel algorithm infers CPs from data, overcoming limitations of manual design and enhancing efficiency.

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Area of Science:

  • Health Informatics
  • Computer Science
  • Process Management

Background:

  • Healthcare quality improvement necessitates standardized care protocols.
  • Clinical Pathways (CPs) offer a solution but are hampered by natural language limitations and subjectivity.
  • Difficulties in manual CP design hinder real-world implementation and dissemination.

Purpose of the Study:

  • To propose a computer-based architecture for representing and executing Clinical Pathways.
  • To develop novel design tools addressing the challenges of formalizing CPs.
  • To present a pattern recognition algorithm for inferring CPs from execution logs.

Main Methods:

  • Development of a computer-based architecture for CP representation and execution.
  • Adaptation of Process Mining techniques to the CP paradigm.
  • Design and evaluation of a pattern recognition algorithm for inferring CPs from execution logs.

Main Results:

  • A novel algorithm successfully infers Clinical Pathways from execution logs.
  • The proposed approach addresses limitations of classical Process Mining for CP design.
  • The system supports the automated design and refinement of Clinical Pathways.

Conclusions:

  • The developed computer-based architecture and inference algorithm facilitate the creation and deployment of standardized Clinical Pathways.
  • This approach enhances the objectivity and efficiency of CP design and implementation.
  • The findings contribute to improving healthcare quality and efficiency through technology-driven process standardization.