Natural Language Processing

Award Information
Agency: Department of Defense
Branch: Army
Contract: W81XWH-07-C-0077
Agency Tracking Number: O063-H09-3116
Amount: $1,744,810.00
Phase: Phase II
Program: SBIR
Awards Year: 2008
Solicitation Year: 2006
Solicitation Topic Code: OSD06-H09
Solicitation Number: 2006.3
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 Suppo
Phone: (703) 368-6107
Research Institution
The effort proposed uses Natural Language Processing (NLP) and Knowledge Base technologies to address Data Entry Automation, E&M coding for billing, and Syndromic Surveillance use cases within the Electronic Medical Record (EMR) field. The approach is to leverage Language and Computing’s TeSSI NLP products and Carnegie Mellon University’s Scone symbolic knowledgebase technology. The transition plan is two fold. First, the goal is to improve the free text data entry user interface and calculate E&M codes from clinical documentation within AHLTA system by adapting and integrating TeSSI. Second, the plan is to adapt and integrate Scone to TeSSI and other medical, geographical, nation, transportation and news feeds to provide outbreak recognition capability to existing syndromic surveillance systems such as DoD ESSENCE and CDC Biosense. An Open Architecture will be applied to enable affordable technology insertion cycles by standardizing the interface between the NLP and KB, and subcomponents. This also allows multiple components to support different parts of the problem. For example, one NLP can be used for E&M coding for billing use case, and another for syndromic surveillance use case.

* information listed above is at the time of submission.

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