D24AC00413
Cooperative Agreement
Overview
Grant Description
Healthcare providers from all professions generate valuable patient data as they provide care.
Advanced AI tools have the potential to revolutionize healthcare by making innovative and fair use of this data.
However, a significant portion of the available data remains untapped due to challenges in accessing and leveraging it.
This project will create scalable solutions to unlock previously underutilized nursing, physical therapy, occupational therapy, and speech and language pathology (1) RN (2) PT (3) OT (4) SLP data with routinely collected medical data and integrate it with AI technology.
These integrations will enable research efforts, transform health care during critical care transitions, and ultimately enhance the quality of people's lives.
What sets this project apart is its focus on (1) RN (2) PT (3) OT (4) SLP data, which is updated more frequently and regularly than data from physician providers in both inpatient and outpatient settings.
Specifically, this project will target two common interprofessional care transitions for two clinical domains: (1) trauma associated with falls and fall injuries and (2) the transition from the neonatal intensive care unit (NICU) to home with preterm or medically complex neonates.
The team will use human-curated AI to enable access to the data and innovate on the summarization of the complex episodes of care.
The project developmental sites include two diverse urban hospitals and a rural hospital.
The models and tools we will develop will have the potential for broader application to conditions like cancer and other diseases in the future.
The data will be unlocked by a multidisciplinary team from (1) UIC (2) UIowa and (3) Missouri.
To spur innovation, two hackathons will be conducted to allow the world discovery and create new value from these datasets.
Advanced AI tools have the potential to revolutionize healthcare by making innovative and fair use of this data.
However, a significant portion of the available data remains untapped due to challenges in accessing and leveraging it.
This project will create scalable solutions to unlock previously underutilized nursing, physical therapy, occupational therapy, and speech and language pathology (1) RN (2) PT (3) OT (4) SLP data with routinely collected medical data and integrate it with AI technology.
These integrations will enable research efforts, transform health care during critical care transitions, and ultimately enhance the quality of people's lives.
What sets this project apart is its focus on (1) RN (2) PT (3) OT (4) SLP data, which is updated more frequently and regularly than data from physician providers in both inpatient and outpatient settings.
Specifically, this project will target two common interprofessional care transitions for two clinical domains: (1) trauma associated with falls and fall injuries and (2) the transition from the neonatal intensive care unit (NICU) to home with preterm or medically complex neonates.
The team will use human-curated AI to enable access to the data and innovate on the summarization of the complex episodes of care.
The project developmental sites include two diverse urban hospitals and a rural hospital.
The models and tools we will develop will have the potential for broader application to conditions like cancer and other diseases in the future.
The data will be unlocked by a multidisciplinary team from (1) UIC (2) UIowa and (3) Missouri.
To spur innovation, two hackathons will be conducted to allow the world discovery and create new value from these datasets.
Awardee
Funding Goals
SUPPORT GROUND BREAKING RESEARCH IN SOCIOTECHNICAL SYSTEM INNOVATION HEALTH ECOSYSTEM INTEGRATION AND ADAPTIVE AND ANTIFRAGILE SOLUTIONS.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Chicago,
Illinois
United States
Geographic Scope
City-Wide
Related Opportunity
D-AQD-FA-24-021
University Of Illinois was awarded
Revolutionizing Healthcare with AI Integration of Nursing Therapy Data
Cooperative Agreement D24AC00413
worth $9,846,428
from Interior Business Center in September 2024 with work to be completed primarily in Chicago Illinois United States.
The grant
has a duration of 2 years and
was awarded through assistance program 93.384 ADVANCED RESEARCH PROJECTS AGENCY for HEALTH (ARPA-H).
Status
(Ongoing)
Last Modified 10/1/24
Period of Performance
9/17/24
Start Date
9/16/26
End Date
Funding Split
$9.8M
Federal Obligation
$0.0
Non-Federal Obligation
$9.8M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for D24AC00413
Additional Detail
Award ID FAIN
D24AC00413
SAI Number
None
Award ID URI
None
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
140D04 IBC ACQ SVCS DIRECTORATE (00004)
Funding Office
140D04 IBC ACQ SVCS DIRECTORATE (00004)
Awardee UEI
W8XEAJDKMXH3
Awardee CAGE
1YGW1
Performance District
IL-07
Senators
Richard Durbin
Tammy Duckworth
Tammy Duckworth
Modified: 10/1/24