SBIR/STTR Research Award

SBIR Phase I: Efficient Comparative Effective Research Tools In Real Time Environment

Award identifier 166e72efba98b49c4bd6db52e1411c8bf3c8d24199c79f9c3b984e17d28a3b5cAwarding agency National Science Foundation

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2011

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
Transmed
Proposal award date
2011-07-01
Contract end date
2011-12-31
UEI
Not reported
Solicitation number
Not reported
Topic code
IC

Research abstract

This Small Business Innovation Research (SBIR) Phase I project will focus on the enablement of comparative effectiveness research (CER) and evidence based medicine (EBM) by health care researchers utilizing both clinical and biomolecular data. The quality of health care can be significantly improved through the secondary use of health care data from electronic medical records systems (EMR) and also through the use of genomic biomarkers. Today, the current process of health care research using retrospective data from EMR requires a team of IT professionals and is very error prone. Further, these systems do not readily utilize the information that is available from genomic and genetic screens. The two goals of this project are: 1) to create a self-service, highly efficient query tool for health care data that can be utilized by clinical researchers and 2) to create a data mart that integrates EMR data with molecular data using a knowledge engine that brings context to biomarker data. The ultimate deliverable will be a system enables the entire life cycle of personalized medicine (PM); retrospective analysis, validation and report generation that directly impacts the care of the individual patient. The broader impact/commercial potential of this project is significant because it capitalizes on two trends in health care - digitizing patient clinical data and the increased use of sequencing and microarray technology - in order to provide Personalized Medicine. The commercialization of the technical innovations referenced in this project will enable researchers and clinicians to generate EBM, CER and PM reports with the ultimate objective of improving patient outcomes. Leveraging historical patient data in CER to eliminate ineffective therapies from the health care system in general coupled with utilizing genetic information to create a more personalized model of health care will focus precious health care dollars on effective therapies optimized for the individual. Ultimately, this tool will be appealing to every segment of the health care industry including clinicians, researchers, pharmaceutical companies, and insurance companies due to the increases in quality and cost savings that will be created. True Personalized Medicine will have arrived.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.