Epoch: an ontological framework to support clinical trials management
HIKM '06 Proceedings of the international workshop on Healthcare information and knowledge management
NCI Thesaurus: A semantic model integrating cancer-related clinical and molecular information
Journal of Biomedical Informatics
An interval-based representation of temporal knowledge
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Matching patient records to clinical trials using ontologies
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Methodological Review: Formal representation of eligibility criteria: A literature review
Journal of Biomedical Informatics
Towards the automated calculation of clinical quality indicators
KR4HC'11 Proceedings of the 3rd international conference on Knowledge Representation for Health-Care
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Clinical trials are fundamental for medical science: they provide the evaluation for new treatments and new diagnostic approaches. One of the most difficult parts of clinical trials is the recruitment of patients: many trials fail due to lack of participants. Recruitment is done by matching the eligibility criteria of trials to patient conditions. This is usually done manually, but both the large number of active trials and the lack of time available for matching keep the recruitment ratio low. In this paper we present a method, entirely based on standard semantic web technologies and tool, that allows the automatic recruitment of a patient to the available clinical trials. We use a domain specific ontology to represent data from patients' health records and we use SWRL to verify the eligibility of patients to clinical trials.