Targeting the transition from mere information into knowledge, the project “Panacea” developed an integrated system for management and exploitation of health information at a semantic level. In particular, Ergobyte in collaboration with the Centre for Research & Technology - Hellas (CERTH), built an intelligent recommendation system to effectively propose drug therapies that will support and facilitate health professionals, ensuring faster and safer administration of drugs. For this purpose, Panacea makes use of Semantic Web technologies for the formal representation of the involved knowledge in order to provide automated inference.
For building the knowledge base, part of the medical knowledge was made available after transformations and editing of existing medical data. Furthermore, specially developed interface allows the further enrichment and introduction of new knowledge, while also controlling the overall coherence and consistency of the new knowledge. At the core of the project lies the semantic inference engine, which analyzes requests to the knowledge base and provides relevant suggestions and recommendations. As the volume of the involved knowledge imposes requirements on a large scale, emphasis is given on developing appropriate reasoning methodologies to ensure the efficiency of the system in terms of responsiveness. Finally, a graphical user interface for interaction with the system was developed which applies all the needed semantic transformations in a manner transparent to the user.
By providing an integrated recommendation system for medical content data that supports all stages of development, verification and management of the involved semantic knowledge, the project Panacea provides essential assistance for achieving high levels of care, while promoting interoperability and integration of knowledge.
The project's results are commercially exploited at the Galen Reasoner medication decision support system.