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Surgical process modelling: a review.

Florent Lalys1, Pierre Jannin

  • 1University of Rennes I, LTSI, 35000 , Rennes, France, flo.lalys@hotmail.fr.

International Journal of Computer Assisted Radiology and Surgery
|September 10, 2013
PubMed
Summary
This summary is machine-generated.

Surgical process modelling (SPM) analyzes operating room activities for better surgical understanding. This review classifies SPM approaches, aiding future computer-assisted surgery systems.

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Area of Science:

  • Medical Informatics
  • Computer-Assisted Surgery
  • Surgical Process Modelling (SPM)

Background:

  • Technological advancements are transforming surgical practices.
  • Understanding and describing surgeries quantitatively is a growing need.
  • Surgical Process Modelling (SPM) is an emerging field addressing this need.

Purpose of the Study:

  • To provide a comprehensive review of the Surgical Process Modelling (SPM) literature.
  • To understand and describe surgeries through quantitative analysis of operating room activities.
  • To facilitate the integration of surgical process models into advanced computer-assisted surgery systems.

Main Methods:

  • A methodological literature review was conducted.
  • Searches were performed on Google Scholar using keywords: "surgical process analysis", "surgical process model", and "surgical workflow analysis".

Main Results:

  • An overview of current approaches in surgical procedural analysis is presented.
  • A classification framework for SPM is proposed, including acquisition, modelling, analysis, application, and validation/evaluation.
  • Key components and instantiations within each aspect of SPM are detailed.

Conclusions:

  • The review enhances understanding of the Surgical Process Modelling (SPM) field.
  • Future research directions and prospects in SPM are identified.