This federal Project Grant award under the Research on Healthcare Costs, Quality and Outcomes (CFDA 93.226) program, funded by the Agency for Healthcare Research and Quality (AHRQ), will support a $142,864 project to use natural language processing and generative AI models to capture social determinants of health (SDH) information from patients. The goal is to process this SDH data into discrete elements that can be integrated into the electronic health record and used by clinical decision...
This Project Grant award from the National Institute on Aging's Aging Research program (CFDA 93.866) will develop the ISMART (Intelligent Social Risk Management in AD/ADRD Patients) platform to improve care and quality of life for people living with dementia (PLWD), particularly those from racial-ethnic minority and socioeconomically disadvantaged groups. The $3,645,585 award to the University of Florida will leverage real-world data from electronic health records and contextual social...
This federal Project Grant award, valued at $512,244 and provided by the National Institute on Minority Health and Health Disparities (NIMHD) under the Minority Health and Health Disparities Research program (CFDA 93.307), aims to identify and address social drivers of health to improve the long-term health of Black preterm infants. The key objectives are to: (1) determine associations between neighborhood-level social determinants of health (SDH) and long-term health among Black children; (2)...
This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $238,884 to the University of South Florida (USF) supports research to assess the efficacy of digital health technologies in low-resource settings. The project examines how digital health services impact treatment experiences, communication between patients and providers, and the perceived effectiveness of these technologies. Using in-depth interviews and behavioral observations,...
This $887,774 Project Grant award from the National Institute on Minority Health and Health Disparities (NIMHD), under the Minority Health and Health Disparities Research (CFDA 93.307) program, aims to develop a mobile health app to address social determinants of health (SDOH) and maternal mood disorders among Black pregnant women. The funded project will augment an existing maternal mental health screening app to also screen for SDOH each trimester and connect women to local social support...
This federal Project Grant award, valued at $1,626,470.00 and granted by the National Institute on Minority Health and Health Disparities (NIMHD) under the Minority Health and Health Disparities Research (CFDA 93.307) program, will fund a 5-year longitudinal study examining contextual and protective factors impacting racial/ethnic health disparities among preschool children with developmental delays. The study, conducted by the University of Illinois, aims to: 1) determine how structural...
This Project Grant award, totaling $1,500,000.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program. The primary awardee, DePaul University, will design, develop, and evaluate an analytics dashboard to empower community health workers (CHWs) in underserved Chicago communities. This integrative research project aims to: 1) improve computational prediction modeling for emergency department...
This Project Grant award, provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, will fund a research project investigating the effects of the Civil Rights Movement on the representation of African Americans in medical education and research. The award, totaling $122,717, will support the development of a comprehensive dataset combining historical records on medical school admissions, physician directories, scientific...
This Project Grant award of $729,821 from the National Institute of Environmental Health Sciences (NIEHS) under the Medical Library Assistance (CFDA 93.879) federal grant program will develop artificial intelligence (AI) and machine learning (ML) methods to provide real-time monitoring and updating of clinical decision support (CDS) systems. The goal is to reduce downstream health disparities that may arise from AI/ML-based CDS systems relying on retrospective patient data that underrepresents...
This Project Grant award from the National Institute on Minority Health and Health Disparities (NIMHD), part of the National Institutes of Health (NIH), under the Minority Health and Health Disparities Research (CFDA 93.307) program, provides $295,924 to Polygon Health Analytics LLC to develop a social risk management tool for improving systemic lupus erythematosus (SLE) clinical care. The project aims to (1) establish an individualized polysocial risk score to assess increased social risk...
This Project Grant award of $1,931,394.00 from the National Institute on Minority Health and Health Disparities (CFDA 93.307 - Minority Health and Health Disparities Research) will support the development, implementation, and evaluation of a social engagement support system to identify and address social needs among Medicaid recipients.
The key products and services to be delivered under this award include:
Developing and deploying machine learning models to predict Medicaid members who use the emergency department for social or non-urgent needs rather than urgent medical conditions.
Developing and deploying an engagement support system to identify and address characteristics preventing Medicaid members from engaging with community-based organizations.
Implementing a continuous improvement process to identify recurring themes and disengagement points where Medicaid members were unable to complete relevant social interventions.
The University of Maryland Baltimore County (UMBC) is the prime awardee, with Florida International University as a sub-awardee. The project aims to help identify and address social determinants of health, shrink disparities in health outcomes, and inform future value-based care models to improve population health.