2304102
Cooperative Agreement
Overview
Grant Description
Sbir Phase II: A Platform for Health Care Data Integration Using Blockchain and Artificial Intelligence -The Broader Impact/Commercial Potential of This Small Business Innovation Research (SBIR) Phase II Project Is to Provide the Personal Healthcare Data Needed to Improve the Patient's Outcome and Experience].
Because Healthcare Data Is Protected, a Secure Way of Sharing the Right Data, with the Right People, at the Right Time Is Needed. Currently, Attempts to Harmonize Data from Many Systems, and in Many Formats and Sizes Is Very Difficult and Expensive and So Such Efforts Are Lacking.
Advancing Blockchain and Artificial Intelligence Technologies for Distributed Data Management and Enabling Radical Data Interoperability Benefits Patients and Addresses a Priority Need in a $3.93 Trillion Healthcare Market. This Team Develops the Technology for a Platform That Secures Data of Any Type from Anywhere in Immutable Blockchains While Respective Data Owners Retain Ownership and Control to Securely Share Just-Needed Data Following Their Data Governance Criteria.
Data Is Transformed and Normalized into More Granular Blockchains and That Can Be Combined for Individual or Aggregated Population Health Modeling. Natural Language Processing Is Combined with a Curated Thesaurus to Automatically Create Metadata Tags for Encrypted Blockchains, Facilitating Data Searches, Discovery, and Advanced Analytics.
Because Healthcare Data Is Complex and Diverse, This Project Demonstrates, Through Priority Use Cases, How Data Needs to Become Interoperable. Such Use Cases Include 1) Sharing Patient Clinical Data for Participation in Clinical Research with Consent; 2) Creating a More Complete Patient Healthcare Record That Spans Many Services or Treatments; 3) Bridging an Operational Gap Between Clinical Data and Claims; and 4) Collaborating Among Research Organizations in Severe Disease Treatment.
Additional Technologies Include Instantiating a Datamart on Demand from Blockchains for Analytics, Machine Learning, and Automating Sharing of Data, via Smart Contracts, Capturing Criteria, and Like Consent.
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.- Subawards Are Planned for This Award.
Because Healthcare Data Is Protected, a Secure Way of Sharing the Right Data, with the Right People, at the Right Time Is Needed. Currently, Attempts to Harmonize Data from Many Systems, and in Many Formats and Sizes Is Very Difficult and Expensive and So Such Efforts Are Lacking.
Advancing Blockchain and Artificial Intelligence Technologies for Distributed Data Management and Enabling Radical Data Interoperability Benefits Patients and Addresses a Priority Need in a $3.93 Trillion Healthcare Market. This Team Develops the Technology for a Platform That Secures Data of Any Type from Anywhere in Immutable Blockchains While Respective Data Owners Retain Ownership and Control to Securely Share Just-Needed Data Following Their Data Governance Criteria.
Data Is Transformed and Normalized into More Granular Blockchains and That Can Be Combined for Individual or Aggregated Population Health Modeling. Natural Language Processing Is Combined with a Curated Thesaurus to Automatically Create Metadata Tags for Encrypted Blockchains, Facilitating Data Searches, Discovery, and Advanced Analytics.
Because Healthcare Data Is Complex and Diverse, This Project Demonstrates, Through Priority Use Cases, How Data Needs to Become Interoperable. Such Use Cases Include 1) Sharing Patient Clinical Data for Participation in Clinical Research with Consent; 2) Creating a More Complete Patient Healthcare Record That Spans Many Services or Treatments; 3) Bridging an Operational Gap Between Clinical Data and Claims; and 4) Collaborating Among Research Organizations in Severe Disease Treatment.
Additional Technologies Include Instantiating a Datamart on Demand from Blockchains for Analytics, Machine Learning, and Automating Sharing of Data, via Smart Contracts, Capturing Criteria, and Like Consent.
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.- Subawards Are Planned for This Award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH PHASE II (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE II", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF22552
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Glendale,
California
91207-1028
United States
Geographic Scope
Single Zip Code
Related Opportunity
22-552
Analysis Notes
Amendment Since initial award the total obligations have increased from $999,658 to $1,007,658.
Emtruth was awarded
Cooperative Agreement 2304102
worth $1,007,658
from National Science Foundation in October 2023 with work to be completed primarily in Glendale California United States.
The grant
has a duration of 2 years and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
SBIR Details
Research Type
SBIR Phase II
Title
SBIR Phase II:A Platform for Health Care Data Integration Using Blockchain and Artificial Intelligence
Abstract
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase II project is to provide the personal healthcare data needed to improve the patient’s outcome and experience]. Because healthcare data is protected, a secure way of sharing the right data, with the right people, at the right time is needed. Currently, attempts to harmonize data from many systems, and in many formats and sizes is very difficult and expensive and so such efforts are lacking. Advancing blockchain and artificial intelligence technologies for distributed data management and enabling radical data interoperability benefits patients and addresses a priority need in a $3.93 trillion healthcare market._x000D_ _x000D_ This team develops the technology for a platform that secures data of any type from anywhere in immutable blockchains while respective data owners retain ownership and control to securely share just-needed data following their data governance criteria. Data is transformed and normalized into more granular blockchains and that can be combined for individual or aggregated population health modeling. Natural language processing is combined with a curated thesaurus to automatically create metadata tags for encrypted blockchains, facilitating data searches, discovery, and advanced analytics. Because healthcare data is complex and diverse, this project demonstrates, through priority use cases, how data needs to become interoperable.Such use cases include 1) sharing patient clinical data for participation in clinical research with consent; 2) creating a more complete patient healthcare record that spans many services or treatments; 3) bridging an operational gap between clinical data and claims; and 4) collaborating among research organizations in severe disease treatment. Additional technologies include instantiating a "datamart on demand" from blockchains for analytics, machine learning, and automating sharing of data, via smart contracts, capturing criteria, and like consent._x000D_ _x000D_ 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.
Topic Code
DL
Solicitation Number
NSF 22-552
Status
(Complete)
Last Modified 8/13/24
Period of Performance
10/1/23
Start Date
9/30/25
End Date
Funding Split
$1.0M
Federal Obligation
$0.0
Non-Federal Obligation
$1.0M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2304102
Additional Detail
Award ID FAIN
2304102
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Small Business
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
FKWNX1KE6CF2
Awardee CAGE
87PY9
Performance District
CA-30
Senators
Dianne Feinstein
Alejandro Padilla
Alejandro Padilla
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $999,658 | 100% |
Modified: 8/13/24