An Ontology-based Adverse Drug Event Alert Generation System

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$99,214.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
W81XWH-10-C-0055
Agency Tracking Number:
O093-H12-3020
Solicitation Year:
2009
Solicitation Topic Code:
OSD09-H12
Solicitation Number:
2009.3
Small Business Information
SYSNET International, Inc.
2930 Oak Shadow Drive, Oak Hill, VA, 20171
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
Y
Duns:
066419081
Principal Investigator:
Odysseas Pentakalos
Chief Technology Officer
(703) 855-2029
odysseas@sysnetint.com
Business Contact:
Yimin Xie
President
(703) 585-5498
yimin.xie@sysnetint.com
Research Institution:
n/a
Abstract
Medication errors cause the greatest number adverse drug events than any other single cause. Traumatic Brain Injury and Post-Traumatic Stress Disorder patients are especially likely to experience such adverse drug events as a result of the number medications and high dosage levels of the medications that they are prescribed to help them deal with their conditions. Detecting and preventing such adverse drug events is a complex data integration and reasoning problem due to the fact that the individual sources of data that are needed for inferring the potential occurrence of such an event are encoded using disparate medical terminologies and ontologies. SYSNET International, will leverage its extensive experience with clinical data systems integration and with the Military Health System in particular, to develop an ontology-based adverse drug event alert generation system. The system will utilize model-based schema transformation techniques to extract local ontologies from the individual sources of data and then ontology mapping algorithms to align them with a global ontology. A semantic inference engine will be then used to generate potential alerts of adverse drug events.

* information listed above is at the time of submission.

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