Cooperative Agreement 2024958

This SBIR Phase II Cooperative Agreement, awarded by the National Science Foundation (NSF) through its Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop a natural language processing (NLP)-driven automation solution to optimize new patient referral pathways. The $1,250,000 award will enable the awardee, Iiam Corporation, to expand the accuracy and capabilities of its algorithms for triaging and assigning new patient referrals. Pilot data has demonstrated...

This Project Grant award from the Agency for Healthcare Research and Quality (AHRQ) under the Research on Healthcare Costs, Quality and Outcomes program (CFDA 93.226) supports a $400,000 randomized trial to evaluate the impact of a "whole person navigation" intervention for adults with multiple chronic conditions. The intervention combines predictive modeling to identify high-risk patients with a navigation strategy to help guide them in accessing social services and overcoming...

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 Agency for Healthcare Research and Quality (AHRQ) under the Research on Healthcare Costs, Quality and Outcomes (CFDA 93.226) program will provide $275,000 in funding to the University of Texas Health Science Center at Houston from August 1, 2024 to July 31, 2026. The project aims to develop and test strategies to increase implementation of evidence-based interventions through collaboration with patient advocacy groups in the areas of juvenile idiopathic...

This federal Project Grant award of $1,991,224.00 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), under the Child Health and Human Development Extramural Research program (CFDA 93.865), will fund the "TRENDS AND INEQUITIES THROUGH REAL-TIME INJURY SURVEILLANCE (TETRIS): NOVEL USE OF PHYSICIAN-INFORMED NATURAL LANGUAGE PROCESSING IN EMERGENCY DEPARTMENT DATA FOR PEDIATRIC INJURY SURVEILLANCE" research project. The overarching goal is...

This Cooperative Agreement award from the National Science Foundation (NSF), under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), will fund the development of a machine-learning-enabled tool to generate concise, clinically relevant narrative summaries of patients' electronic medical records. The $1,250,000 award to Abstractive Health, Inc. aims to revolutionize healthcare delivery by reducing the burden on physicians, addressing issues like medical errors, patient...

This $768,122 Project Grant from the National Institute of General Medical Sciences will support the development of statistical software to predict adverse medical events in preterm infants using multi-sensor streaming data. The awardee, William D Shannon Consulting LLC doing business as Biorankings, will develop an algorithm to transform sensor data from neonatal intensive care units into graphical representations of associations. Decision rules from statistical process control will then...

This NSF Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Zebramd Inc. aims to develop an electronic health record (EHR) integrated artificial intelligence system capable of predicting rare diseases in undiagnosed patients and providing evidence-based treatment recommendations for already diagnosed rare disease patients. The broader impact of this Small Business Innovation Research (SBIR) Phase I project is to potentially improve the diagnosis and...

This SBIR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop and validate an AI-driven platform to automate prior authorization (PA) processing in oncology clinics. The innovation seeks to transform the currently labor-intensive PA process, which causes costly delays in life-saving cancer treatments. By leveraging natural language processing, machine learning, and reinforcement learning,...

This Project Grant award from the Department of Health and Human Services' National Institutes of Health (NIH) under the Trans-NIH Research Support program (CFDA 93.310) provides $151,774 to Oregon Health & Science University (OHSU) to develop software tools for creating standardized multimodal electronic health record (EHR) datasets to advance ophthalmic research using artificial intelligence (AI). The project aims to address challenges in leveraging inconsistent and non-standardized EHR...