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Federal
Government
Making our country healthier
and stronger
Healthcare spending in the US represents over 16% of the national GDP
and has continued to rise over the past three decades. Improving the
quality while lowering the cost of healthcare will greatly improve
competitiveness for all aspects of the country. Recombinant's expertise
in data warehousing and analytics of clinical data provides an
opportunity in multiple areas for federally funded programs to improve
healthcare and clinical research. We are actively engaged in projects
with the VA, FDA, and multiple NIH funded research initiatives.
Recombinant can help Federal
projects including:
• Establishing clinical data repositories
to support research and quality reporting data warehouses and
applications to healthcare delivery organizations from national
agencies like the VA, Department of Defense, and CMS.
• Professional open source development,
implementation, and support for Federally funded projects like i2b2 and
caBIG.
• Our projects on translational medicine
within both the pharma and healthcare delivery organizations allow us
to leverage our knowledge to consult on national initiatives to support
drug discovery, approval, and healthcare system reform.
• Services to help pilot projects for the
infrastructure to create a national biomedical research framework or
grid that span multiple sites including roadmap design, governance, and
engineering.
• Recombinant qualifies as a small
business and can be an effective partner for larger organizations
needing a small business partner to deliver contracts.
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Key Federal Facts
• Recombinant is developing the
collaboration framework and i2b2 extensions for the i2b2
Cross-Institutional Clinical Translational Research project
(i2b2CICTR). (see http://www.i2b2cictr.org/)
• Recombinant has been instrumental in
bringing i2b2 open source technologies from concept to production at
academic medical center sites and pharma projects
• Recombinant is an approved caBIG
solution provider
• Recombinant has expertise in developing repositories for
large scale analysis of omic data like SNPs, gene expression,
proteomics, NLP, and clinical phenotypes
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