Healthcare Exchange Language Management, Expansion, and Translation Services (HELMETS)

Award Information
Agency: Department of Defense
Branch: Defense Health Program
Contract: W81XWH-13-C-0035
Agency Tracking Number: H122-004-0053
Amount: $149,989.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solitcitation Year: 2012
Solitcitation Topic Code: DHP12-004
Solitcitation Number: 2012.2
Small Business Information
Charles River Analytics Inc.
MA, Cambridge, MA, 02138-4555
Duns: 115243701
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Erik Thomsen
 Senior Scientist
 (617) 491-3474
 ethomsen@cra.com
Business Contact
 Mark Felix
Title: Contracts Manager
Phone: (617) 491-3474
Email: mfelix@cra.com
Research Institution
 Stub
Abstract
The 2010 President"s Council of Advisors on Science and Technology report on health information technology states that today,"there is relatively little standardization in the health data captured and stored by different providers of healthcare services"for the millions of active duty service members supported by the Military Health System. This lack of standardization leads to interoperability problems and the development of healthcare exchange models, which rely on capturing complex concepts in a fixed set of codes. However, these codes, used to share healthcare data across systems, become rapidly out of date as new techniques, research, and practices are adopted by caregivers and administrators. To enable truly universal exchange of healthcare information, we propose to design and demonstrate Healthcare Exchange Language Management, Expansion, and Translation Services (HELMETS). Our service consists of three primary elements: (1) an analysis layer that learns how languages are being used (i.e., convention) based on information extraction and document classification techniques; (2) a knowledge representation layer that captures the semantic structure in disparate exchange languages; and (3) a probabilistic modeling framework that translates between languages based on convention and semantics. This approach ensures that changes in practices, rather than changes in administration and policy, are always reflected.

* information listed above is at the time of submission.

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