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Developing an Appendicectomy Surgical Pathway Ontology (ASPO).

Nadeesha Pathiraja Rathnayaka Hitige¹, Ping Yu¹

¹Centre for Digital Transformation, School of Computing and Information Technology, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia.

Studies in Health Technology and Informatics

|January 25, 2024

Summary

This summary is machine-generated.

This study introduces an ontology model for appendicectomy surgical pathways, aiding quality improvement. It enables process mining to compare hospital practices with policy requirements.

Keywords:

Appendicectomy pathway knowledge representation ontology

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Area of Science:

Medical Informatics
Ontology Engineering
Health Services Research

Background:

Surgical pathways require clear representation for effective management.
Existing methods may not fully capture the complexities of surgical processes.
Standardized models are needed for quality improvement in healthcare.

Purpose of the Study:

To develop an ontology model for surgical pathways in appendicectomy.
To integrate domain knowledge from literature and electronic health records.
To support continuous quality improvement initiatives through process mining.

Main Methods:

Ontology development using domain knowledge extraction.
Incorporation of 108 concepts and 81 object properties.
Application in an Australian health district's appendicectomy data.

Main Results:

A comprehensive ontology model for appendicectomy surgical pathways was created.
The model effectively represents the intricacies of the surgical process.
Demonstrated utility for process mining and quality improvement.

Conclusions:

The proposed ontology model is valuable for understanding and optimizing surgical pathways.
It facilitates the identification of discrepancies between actual hospital practices and policy.
Enables data-driven continuous quality improvement in surgical care.