Software Technology for Cancer Epidemiology and Prevention

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-07-M-6716
Agency Tracking Number: O063-H05-3079
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: OSD06-H05
Solicitation Number: 2006.3
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
DUNS: 859244204
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: Y
Principal Investigator
 Lingji Chen
 Principal Investigator
 (781) 933-5355
Business Contact
 Jay Miselis
Title: Corporate Controller
Phone: (781) 933-5355
Research Institution
A significant hindrance for military cancer studies is the lack of linkages between the disease outcomes database (Automated Central Tumor Registry) and the personnel databases (Air Force Personnel Center Personnel Database and Defense Manpower Data Center Database). Linking cancer and relevant personnel data is currently carried out manually, which is extremely cumbersome and time-consuming. There are two “bottlenecks” in a cancer researcher’s work flow. One is the recoding of cancer registry data. The other is the wait time for receiving personnel data. We propose to develop a Recoding Assistant to address the former, and a Data Format Previewer to address the latter. SSCI has assembled a strong team to develop the proposed software. The team includes Professors Shawn Murphy and Qing Zeng, both at Harvard Medical School, and Dr. William Salomon, an experienced physician/informatician. Professor Murphy is Director of the Research Patient Data Registry (RPDR), a multimillion-dollar effort sponsored by the Partners Research Council that gathers data from various hospital legacy systems and stores the data in one place for researchers to access. Professor Zeng and her collaborators have developed a suite of open-source NLP modules that they refer to as the Health Information Text Extraction (HITEx) tool, which uses GATE (General Architecture for Text Engineering) as a platform and can be assembled into pipelines for different tasks.

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

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