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Clinical pathway modelling: a literature review.

Emma Aspland1, Daniel Gartner1, Paul Harper1

  • 1School of Mathematics, Cardiff University, Cardiff, UK.

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This review explores clinical pathways and their integration with hospital information systems. Future research should combine industrial engineering and operational research for better decision support and patient outcomes.

Keywords:
Clinical pathwaysinformation systemsliterature reviewoperational research

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Area of Science:

  • Health Informatics
  • Operations Research
  • Industrial Engineering

Background:

  • Hospital Information Systems (HIS) are vital for decision support across strategic, tactical, and operational levels.
  • Clinical pathways standardize treatment, enhance patient care, and aid clinical decision-making.
  • Integrating HIS with clinical pathways offers significant potential for healthcare optimization.

Purpose of the Study:

  • To propose a taxonomy of problems associated with clinical pathways.
  • To explore the intersection of Information Systems (IS), Operational Research (OR), and industrial engineering in healthcare.
  • To identify areas for future research in optimizing clinical pathway implementation.

Main Methods:

  • A structured literature search was conducted to identify relevant papers.
  • 175 papers were included in the taxonomy and analysis.
  • The review synthesizes findings on the application of IS, OR, and industrial engineering to clinical pathways.

Main Results:

  • A taxonomy of problems related to clinical pathways was developed.
  • The review highlights the interdisciplinary nature of clinical pathway optimization.
  • Current approaches often address care levels in isolation.

Conclusions:

  • Future work should integrate industrial engineering with OR techniques for comprehensive modeling.
  • Enhanced interaction between care levels and a focus on patient outcomes are crucial.
  • Bridging OR, IS, and industrial engineering will improve clinical pathway decision support.