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SEMPATH Ontology: modeling multidisciplinary treatment schemes utilizing semantics.

Dimitrios Al Alexandrou¹, Konstantinos V Pardalis, Thanassis D Bouras

¹UBITECH Research, 15343 Athens, Greece. dalexandrou@ubitech.eu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society

|July 20, 2011

Summary

Personalizing treatment is key to improving healthcare quality. The SEMPATH ontology enables personalized clinical pathways using semantic web rules for diseases like human papillomavirus.

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Area of Science:

Health Informatics
Ontology Engineering
Clinical Decision Support

Background:

Increasing demand for high-quality healthcare necessitates personalized treatment approaches.
Healthcare environments are complex and multidisciplinary, posing challenges for standardized care.
Existing systems often lack the flexibility for individualized patient care plans.

Purpose of the Study:

To conceptualize the domain of clinical pathways (CP) using an ontology.
To develop the SEMPATH (SEMantic PATHways) ontology for healthcare provision.
To enable the implementation of a Semantic Web Rules (SWRL rules) repository for personalized medicine.

Main Methods:

Conceptualization of clinical pathways, business/finance, and quality assurance domains.
Development of the SEMPATH ontology to model multidisciplinary healthcare.
Utilization of the ontology for defining SWRL rules for specific diseases and treatments.

Main Results:

Successful conceptualization of the clinical pathway domain within the SEMPATH ontology.
Integration of business, finance, and quality assurance aspects into the healthcare model.
Creation of a SWRL rule repository for human papillomavirus (HPV) disease management.

Conclusions:

The SEMPATH ontology provides a robust framework for representing complex healthcare domains.
Ontology-driven SWRL rules facilitate personalized treatment schemes.
This approach supports enhanced quality and personalization in healthcare delivery.