Sharing e-Health Information through Ontological Layering

Authors:
Pavandeep Kataria;Radmila Juric
Affiliations:
-;-
Venue:
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
Year:
2010

Citing 0
Cited 2

Validation of an ontological medical decision support system for patient treatment using a repository of patient data: Insights into the value of machine learning

ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
SEMANTIC SUPPORT FOR DYNAMIC CHANGES IN ENTERPRISE BUSINESS MODELS

Journal of Integrated Design & Process Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

e-Health information, including patient clinical and demographic data, is very often dispersed across various environments, which either generate them or retrieve them from different sources. Healthcare professionals often need related e-health information in order to obtain a more comprehensive picture of a patient's health status. There are many obstacles to retrieving information and data from heterogeneous sources. In this paper we show that our ontological layering helps in (a) classifying requests imposed by healthcare professionals when retrieving e-health information from heterogeneous sources and (b) resolving semantic heterogeneities across repositories and composing an adequate answer to issued requests. We use a layered software architectural model based on Generic ontology for Context-aware, Interoperable and Data sharing (Go- CID) software applications, applicable to e-Health environments. Ontological layering and reasoning have been demonstrated with semantic web technologies.