2415539
Project Grant
Overview
Grant Description
SBIR Phase I: SmartCharts: A rehabilitation documentation optimization tool using machine learning (ML) and data visualization.
This Small Business Innovation Research (SBIR) Phase I project aims to transform rehabilitation healthcare by developing software that standardizes and automates documentation processes, creating personalized progress visualizations and notes.
By using machine learning, this innovation could provide care teams with easy-to-understand visuals that accurately show patient progress, improving communication and decision-making while reducing costly rehospitalizations, procedures, and surgeries.
It aims to improve productivity, quality of care, and patient experience by simplifying rehabilitation communication and documentation processes.
The software aspires to be a go-to resource for patient and care team communications, impacting over 557,000 rehabilitation therapists who support over $550 billion in annual spending on speech, occupational, and physical therapy services.
After completion, the software will serve as a business-to-business (B2B) software as a service (SaaS) healthcare system, benefiting providers in various rehabilitation settings.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge faced by healthcare providers in efficiently creating documentation that aids patient understanding, facilitates care team communications, and could ensure easy reimbursement by insurance companies.
The research objectives include utilizing machine learning and data visualization to construct a data source that accurately represents patient therapeutic rehabilitation progress.
The proposed research synthesizes novel rehabilitation documentation data sources to produce datasets structured for visual representation of progress.
The anticipated technical results involve establishing a database in Phase I that integrates data from various sources across rehabilitation settings, yielding reliable datasets for future modeling.
The scope of research entails determining the feasibility of organizing novel data sources to create meaningful visual representations of patient progress in therapeutic rehabilitation.
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 not planned for this award.
This Small Business Innovation Research (SBIR) Phase I project aims to transform rehabilitation healthcare by developing software that standardizes and automates documentation processes, creating personalized progress visualizations and notes.
By using machine learning, this innovation could provide care teams with easy-to-understand visuals that accurately show patient progress, improving communication and decision-making while reducing costly rehospitalizations, procedures, and surgeries.
It aims to improve productivity, quality of care, and patient experience by simplifying rehabilitation communication and documentation processes.
The software aspires to be a go-to resource for patient and care team communications, impacting over 557,000 rehabilitation therapists who support over $550 billion in annual spending on speech, occupational, and physical therapy services.
After completion, the software will serve as a business-to-business (B2B) software as a service (SaaS) healthcare system, benefiting providers in various rehabilitation settings.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge faced by healthcare providers in efficiently creating documentation that aids patient understanding, facilitates care team communications, and could ensure easy reimbursement by insurance companies.
The research objectives include utilizing machine learning and data visualization to construct a data source that accurately represents patient therapeutic rehabilitation progress.
The proposed research synthesizes novel rehabilitation documentation data sources to produce datasets structured for visual representation of progress.
The anticipated technical results involve establishing a database in Phase I that integrates data from various sources across rehabilitation settings, yielding reliable datasets for future modeling.
The scope of research entails determining the feasibility of organizing novel data sources to create meaningful visual representations of patient progress in therapeutic rehabilitation.
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 not planned for this award.
Awardee
Funding Goals
THE GOAL OF THIS FUNDING OPPORTUNITY, "NSF SMALL BUSINESS INNOVATION RESEARCH (SBIR)/ SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAMS PHASE I", IS IDENTIFIED IN THE LINK: HTTPS://WWW.NSF.GOV/PUBLICATIONS/PUB_SUMM.JSP?ODS_KEY=NSF23515
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Chicago,
Illinois
60661-5605
United States
Geographic Scope
Single Zip Code
Smartcharts was awarded
Project Grant 2415539
worth $275,000
from National Science Foundation in September 2024 with work to be completed primarily in Chicago Illinois United States.
The grant
has a duration of 7 months and
was awarded through assistance program 47.084 NSF Technology, Innovation, and Partnerships.
The Project Grant was awarded through grant opportunity NSF Small Business Innovation Research / Small Business Technology Transfer Phase I Programs.
SBIR Details
Research Type
SBIR Phase I
Title
SBIR Phase I: SMARTCharts: A Rehabilitation Documentation Optimization Tool using machine learning (ML) and data visualization
Abstract
This Small Business Innovation Research (SBIR) Phase I project aims to transform rehabilitation healthcare by developing software that standardizes and automates documentation processes, creating personalized progress visualizations and notes. By using machine learning, this innovation could provide care teams with easy-to-understand visuals that accurately show patient progress, improving communication and decision-making while reducing costly rehospitalizations, procedures, and surgeries. It aims to improve productivity, quality of care, and patient experience by simplifying rehabilitation communication and documentation processes. The software aspires to be a go-to resource for patient and care team communications, impacting over 557,000 rehabilitation therapists who support over $550 billion in annual spending on speech, occupational and physical therapy services. After completion, the software will serve as a business-to-business (B2B) Software as a Service (SaaS) healthcare system, benefiting providers in various rehabilitation settings.
This Small Business Innovation Research (SBIR) Phase I project addresses the challenge faced by healthcare providers in efficiently creating documentation that aids patient understanding, facilitates care team communications, and could ensure easy reimbursement by insurance companies. The research objectives include utilizing machine learning and data visualization to construct a data source that accurately represents patient therapeutic rehabilitation progress. The proposed research synthesizes novel rehabilitation documentation data sources to produce datasets structured for visual representation of progress. The anticipated technical results involve establishing a database in Phase I that integrates data from various sources across rehabilitation settings, yielding reliable datasets for future modeling. The scope of research entails determining the feasibility of organizing novel data sources to create meaningful visual representations of patient progress in therapeutic rehabilitation.
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
DH
Solicitation Number
NSF 23-515
Status
(Complete)
Last Modified 9/25/24
Period of Performance
9/15/24
Start Date
4/30/25
End Date
Funding Split
$275.0K
Federal Obligation
$0.0
Non-Federal Obligation
$275.0K
Total Obligated
Activity Timeline
Additional Detail
Award ID FAIN
2415539
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Other
Awarding Office
491503 TRANSLATIONAL IMPACTS
Funding Office
491503 TRANSLATIONAL IMPACTS
Awardee UEI
GNGAPBEF6XN9
Awardee CAGE
9RV92
Performance District
IL-07
Senators
Richard Durbin
Tammy Duckworth
Tammy Duckworth
Modified: 9/25/24