2024 Fall Projects
Intelligent Technology for Collaborative Cardiac Diagnosis Using ECG
- Qi Zhang, PhD, Illinois State University
- Sunita Ferns, MD, OSF HealthCare
This project aims to improve pediatric cardiovascular care by developing AI-driven diagnostic tools and advanced technologies. Specifically, it focuses on creating convolutional neural networks (CNNs) to predict demographic information from 12-lead ECGs, enhancing diagnostic accuracy for children, particularly among minority groups. The system will integrate advanced visualization techniques to combine real-time ECG data with demographic attributes, offering comprehensive insights into cardiovascular health. Additionally, telemedicine capabilities will be implemented to enable remote consultations and training for health care professionals, improving collaboration and access to care. Ultimately, the project seeks to optimize diagnostic precision, treatment strategies and medical training, advancing pediatric cardiovascular care and reducing health care disparities.
OSF-ISU SPORT Program- A Connected Community Initiative
- Mike Torry, PhD, Illinois State University
- Karan Rai, MD, OSF HealthCare
The OSF-ISU SPORT study aims to create a comprehensive Central Illinois Sports Medicine program to monitor athletes' physical and mental health, improve performance, and prevent injuries and mental health issues in both youth and adult populations. The project uses advanced biomechanical, physiological and psychological assessments in collaboration with Illinois State University (ISU) Athletics and OSF clinicians. The study will first target ISU athletes to collect data on performance, injuries and mental health, creating a database to identify key risk factors. Phase 2 will expand to local youth sports programs, focusing on injury prevention, performance enhancement and mental well-being for diverse, rural populations.
The EMS-FIRST Initiative: Serving Those Who Serve Us
- Marcel Lopes dos Santos, PhD, Illinois State University
- Christine Watson, OSF HealthCare
The EMS-FIRST project, a collaboration between OSF HealthCare and Illinois State University (ISU), aims to improve the health, wellness and injury prevention of OSF first responders. Its specific goals include providing ongoing monitoring of physical fitness through biomechanical and physiological assessments, creating a robust database with fitness profiles and injury history to investigate links between fitness and injury risk, and designing a specialized training program tailored to first responders’ physical demands. The program will also include mechanisms for assessing progress and evaluating effectiveness. Additionally, EMS-FIRST plans to expand through an integrated network within OSF and ISU, benefiting other EMS units and enhancing the program’s impact, ultimately improving responder wellness and patient care.
Building an OMOP Data Warehouse with GenAI for Data and Research Insights
- Rishi Saripalle, PhD, MS, Illinois State University
- Roopa Foulger, OSF HealthCare
This project aims to address the challenges health care organizations face in integrating vast amounts of operational and transactional data from disparate systems such as EMRs, lab information and insurance claims. These systems often use varied formats, making standardized data access difficult for research and patient care. The goal is to implement a Clinical and Translational Data Warehouse (CTDW) using the OMOP Common Data Model (CDM), which unifies and standardizes data to support advanced analytics, including machine learning and AI. Key project objectives include mapping operational data to the OMOP model using LLMs and ReMatch for data structure alignment and deploying an OMOP-compatible CTDW on Azure to streamline research and improve patient outcomes.