There is a wide gap between the clinical information that gets stored in clinical data repositories and the specification of eligibility criteria in clinical trials. We are exploring the ways to minimize the gap by using formal ontologies (SNOMED-CT, MED) and semantic ontology reasoning to find relevant patients. more...

Steps Involved (click on the text see the demo step)

	The Bench - The eligibility criteria from protocols listed on clinicaltrials.gov are parsed semi-automatically using the CTQueryWorkbench and formulated as formal ontology-based queries.
	The Bedside - The structured clinical data (lab, pharmacy and radiology) is coded using the Medical Entities Dictionary(MED) is mapped to SNOMED-CT using lexico-semantic techniques. In this demo, we use 100 random anonymized patient records.
	The Bridge - An OWL ontology reasoner, SHER, is used to retrieve semantically matching patients for given clinical trial queries.