APPLICATION OF SEMANTIC WEB TECHNOLOGIES TO ALERT PROVIDERS REGARDING POLY-PHARMACY ISSUES IN TRAUMATIC BRAIN INJURY (TBI) AND/OR POST-TRAUMATIC STRES

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-10-C-0062
Agency Tracking Number: O093-H12-3045
Amount: $98,375.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solitcitation Year: 2009
Solitcitation Topic Code: OSD09-H12
Solitcitation Number: 2009.3
Small Business Information
KnowMED
7000 Fannin, UCT650, Houston, TX, 77030
Duns: 833229714
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Vipul Kashyap
 Chief Health Information Scientist
 (860) 430-5371
 kashyap.vipul@gmail.com
Business Contact
 Parsa Mirhaji
Title: Chief Executive Officer
Phone: (713) 500-3157
Email: parsa.mirhaji@uth.tmc.edu
Research Institution
N/A
Abstract
We propose to engage with all stakeholders (administrative, policy and decision makers, data providers, users of the system, technology developers) and survey the resources, opportunities, barriers and challenges and risks involved through a systematic process of “Solution Envisioning” in order to conceptualize an optimal systems architecture for pharmacovigilance and poly-pharmacy alerting and adverse reaction prevention for military patients with PTSD and/or TBI enabled by collaborative clinical information integration and sharing, in a network distributed across boundaries of institutions, organizational departments, health information systems, applications and databases. We will use the Semantic Web frameworks and technologies to develop the blue print for a pharmacovigilance and alerting network that can integrate structurally and semantically heterogeneous data across boundaries of multiple organizations, account for multi-organizational standards, vocabularies and terminologies, information models, contextualize multi-source data for disease classifications and hypothesis building and evaluation, and can enforce and enable policies, regulations and guidelines in accessing and uses of the information in a distributed and collaborative network. We hope that we will save lives, reduce morbidity and improve quality of life of military patients through reduction of clinical errors, reducing costs, improving standard of care, and implementing customizable preventive and alerting technologies.

* information listed above is at the time of submission.

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