Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models

Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models

Hans-Georg Fill (University of Vienna, Austria & Stanford University, USA) and Ilona Reischl (AGES PharmMed, Austria)
DOI: 10.4018/978-1-60960-126-3.ch010
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

The use of semantic technologies in practical scenarios requires carefully balancing the tradeoff between costs and benefits in order to gain acceptance. In this chapter we report on a project conducted together with the Austrian competent authority in regard to safety in healthcare. It is described how semantic technologies can be combined with conceptual models to support management executives in the distribution of knowledge and the analysis of compliance. The approach is based on a step-wise semantic enrichment of conceptual models with formal semantic schemata in order to support human analyses. It has been implemented on the ADONIS meta modeling platform and applied to a scenario dealing with the management of applications for clinical trials.
Chapter Preview
Top

Background

To provide the foundations for our approach we will briefly give some background information to outline the challenges in the domain of health-related public management, the use of conceptual modeling and meta modeling concepts to represent conceptual visual models and on the currently available semantic technologies in the area of health.

Complete Chapter List

Search this Book:
Reset