SBIR/STTR Research Award

SBIR Phase I:A Platform for Health Care Data Integration Using Blockchain and Artificial Intelligence

Award identifier 1ec1d737842a19c9c905334d026b621ba30c677b80c6abbc438590bc866f2b36Awarding agency National Science Foundation

Award amount

$254,091

Program and phase

SBIR · Phase I

Award year

2022

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
EMTRUTH, INC.
Proposal award date
2022-02-15
Contract end date
2023-01-31
UEI
FKWNX1KE6CF2
Solicitation number
NSF 21-562
Topic code
DH

Research abstract

The broader impact /commercial potential of this Small Business Innovation Research (SBIR) Phase I project aims to improve health outcomes while managing costs.The proposed technology enables the integration and retrieval of data from many places and formats across a distributed ecosystem secured by blockchain. Healthcare, a $2.9 B market segment, is targeted because the need is great and the US healthcare market is highly fragmented. Making healthcare data faster to interoperate and share while maintaining data integrity, security and privacy is key to potentially improving healthcare outcomes.This Small Business Innovation Research (SBIR) Phase I project is advancing foundational technology for searching and retrieving heterogeneous data secured in blockchain across a distributed data platform. Multiple data sources with different formats and data models will be transformed into more granular data blocks in blockchain. In addition to normalizing blockchain data into more granular data blocks for sharing and re-use in different applications (i.e., simplifying data integration and interoperability), research will use natural language processing (NLP) to assist in automatically generating metadata tags to facilitate searching across blockchains. To improve the accuracy of data returned in the search, a human expert-curated healthcare dictionary and thesaurus will be created and used in concert with NLP assistance. This combined approach should improve the accuracy of data retrieval by non-IT, healthcare, users across a secure, peer-to-peer data platform where data owners retain full ownership and control of their data. The proposed research will also validate through performance testing new blockchain search capabilies will meet the responsiveness and scale required by healthcare enterprises, a key need for commercialization. In particular, the project will establish benchmarks for speed and latency across a geographically dispersed network.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

2 SBIR/STTR records share this UEI (2022–2023). Reported award amounts total $1,253,749. Reported amounts are not federal obligations.

Phases: Phase II, Phase I

Agencies: National Science Foundation

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.