Exploitable results
The HC-REMA project provides different types of health care professionals with a set of tools for building decision support systems for resource management optimization and quality control of health care policies in selected areas. The resource management decision support system is based on sharing common models and knowledge from health economics, decision analysis, probability theory, epidemiology, and clinical praxis, all formalized through a set of common ontologies organized in a medical, cost, and organizational ontology. The HC-REMA toolset allows the user to substitute general decision models for resource management with application specific data in order to get an application tailored model to be used in the user's own domain, whether it is adaptions to different sites and countries or to different application area. The toolset also provides the users with instruments to browse and edit ontologies and to share the knowledge in a collaborative way. By using the web technology, the tools are platform independent and are available internationally through the Internet. The project focuses on applications such as therapy assessment, trail and screening scheduling, and instrument purchase. Several user settings are anticipated such as bedside planning, strategic planners and academic knowledge accumulation.
The project has established a set of general ontologies, a medical, a cost and an organizational ontology as a common framework for the HC-REMA tools. For some of the selected applications the mapping between the general ontologies and the domain specific ontology has been established. The architecture of WebOnto, a Web-based collaborative environment for browsing and editing ontological and cost-effectiveness (CE) models has been specified and the first versions have been implemented and tested in a limited environment.
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