Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-08-C-0756
Agency Tracking Number: O082-H07-3192
Amount: $99,950.00
Phase: Phase I
Program: SBIR
Awards Year: 2008
Solitcitation Year: 2008
Solitcitation Topic Code: OSD08-H07
Solitcitation Number: 2008.2
Small Business Information
KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East, College Station, TX, 77840
Duns: 555403328
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Madhav Erraguntla
 Research Scientist
 (979) 260-5274
 merraguntla@kbsi.com
Business Contact
 Jason Ogle
Title: General Counsel
Phone: (979) 260-5274
Email: jogle@kbsi.com
Research Institution
N/A
Abstract
The goal of this SBIR initiative is to design and develop an Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT) that will provide a research data cube and analysis tool suite to enable researchers to collect, integrate and data mine medical records, environmental exposures, and deployment locations. The data assembled will include medical records including signs, symptoms, diagnosis, orders, and outcomes (from AHLTA system), environmental issues (from DOEHRS system), and deployment profiles. The analysis supported includes environmental, epidemiological and etiological issues, causes and effects, discovery of correlations and causalities, and hypothesis testing. E3SAT will supplement the standard data available from AHLTA and DOEHRS with information retrieved from public sources on local and regional environmental patterns and with epidemiology information. It will accept inputs and annotations from Subject Matter Experts (SME) related to environmental data as well as hypotheses that need to be validated. E3SAT allows researchers and practitioners to interact seamlessly with the integrated analysis cube and for a time phased longitudinal view of individual records as well as latitudinal view across multiple soldiers. It allows for drill down into data supporting a discovered hypothesis, epidemiology, and pattern; or drilling up to view similar symptoms or environmental exposure cluster.

* information listed above is at the time of submission.

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