Software Technology for Cancer Epidemiology and Prevention

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$100,000.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-07-M-6716
Award Id:
82999
Agency Tracking Number:
O063-H05-3079
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
SCIENTIFIC SYSTEMS CO., INC. (Currently Scientific Systems Company, Inc.)
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
859244204
Principal Investigator:
Lingji Chen
Principal Investigator
(781) 933-5355
chen@ssci.com
Business Contact:
Jay Miselis
Corporate Controller
(781) 933-5355
jmiselis@ssci.com
Research Institution:
n/a
Abstract
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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