Automated Knowledge Structuring of Medical Charts Data

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-08-C-0758
Agency Tracking Number: O082-H07-3151
Amount: $99,322.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solicitation Year: 2008
Solicitation Topic Code: OSD08-H07
Solicitation Number: 2008.2
Small Business Information
9500 Innovation Drive, Manassas, VA, 20110
DUNS: 945837219
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Gary Sikora
 Principal Investigator
 (703) 368-6107
Business Contact
 Christine Sigety
Title: Manager of Business Support
Phone: (703) 368-6107
Research Institution
We offer an Environmental Surveillance Framework that will have the ability to quickly run data filters over a consolidated set of medical charts to “raise red flags” and draw attention to anomalies used to help identify the onset or origin of changes in health functionally acting as diagnostic decision aids. The ability to trace results back to the original individual medical cases, for evaluators to create and edit filters so data can be evaluated in real or near real- time. The Environmental Surveillance Framework comprises three major components to extract, understand and access the data. The first component extracts and encodes narrative free text from databases such as AHLTA using natural language processing (NLP) with an ontology. The second component harmonizes extracted data elements with other databases and data sources such as environmental site locations (e.g. oil wells, land fills, etc.) and news feeds using an ontology to mediate different database constructs and datasets. The third component provides user interfaces and query tools. The architecture approach is to be non-invasive, so for example changes to the AHLTA system are not required, all we need is access to the knowledgebase.

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

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