Automated Knowledge Structuring of Medical Charts Data

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-08-C-0726
Agency Tracking Number: O082-H07-3143
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: OSD08-H07
Solicitation Number: 2008.2
Small Business Information
12 Gill Street, Suite 1400, Woburn, MA, 01801
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Robert McCormack
 Applied Mathematician
 (781) 496-2476
Business Contact
 Margaret Clancy
Title: Chief Financial Officer
Phone: (781) 496-2415
Research Institution
Some major military health problems are caused or exacerbated by environmental factors. Gulf War Syndrome, reactions to Agent Orange, and other such problems tend to have diverse symptoms and delayed (and variable) latencies to onset. A major reason they are so difficult to identify, diagnose, and manage is capability shortfalls in military (and civilian) medical information systems. Linkages among systems are sub-optimal (although being vigorously pursued). Critically, tools do not exist that support the kinds of information analysis, extraction, and exploration required in current and future data sources. Aptima and its partner, the University of Colorado Computational Bioscience Program, propose to design (in Phase I) and develop (in Phase II) a toolset called Automated Structuring of Knowledge for Medical Extraction of Data (ASK-MED). ASK-MED will enable military medical professionals to find clinically-relevant patterns in data across various information systems. Our strategy avoids the technical tarpit of ontology alignment and instead integrates a powerful top-down, ontology-neutral knowledge-based method with bottom-up, domain-independent statistical language analysis technique. The solution will add value to existing informatics efforts, without requiring that all the surrounding institutional and technical problems be solved.

* Information listed above is at the time of submission. *

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