Applied Research Agenda
This endowed fund supports collaborative efforts between engineers and health care providers at OSF HealthCare and University of Illinois College of Medicine at Peoria as they work to solve health care challenges through innovative solutions.
These teams work together and use the unique environment of Jump to hypothesize, test and redesign tools, techniques and processes being used by caregivers every day.
Through Jump ARCHES, our studies are intended to demonstrate improved clinical outcomes, reductions of cost and higher quality practices through simulation.
“In this crisis mode where we are all working to leverage Jump Trading Simulation and Education Center and our talents to improve service for patients affected by COVID-19, the synergistic effect of engineering and clinical service breaks down traditional barriers and gets us more quickly to a much-needed solution.”
Dr. John Vozenilek
Vice President and Chief Medical Officer Innovation and Digital Health
2020 COVID Response: Jump Simulation Projects
A Rapid and Affordable Virus Test for Early Warning of a Pandemic
This initiative will develop a test kit that extracts nucleic acid sequences from a sample of blood or saliva which are amplified with primers and new technology that can look for biomarkers of the virus using colorimetry so detection by naked eyes is possible. Researchers hope to develop an all-in-one test kit costing no more than $5 USD.
Converting a Microwave Oven into a Mask Sterilization Unit
This proposal will investigate the effectiveness for sterilization and disinfection to offer additional research to initial reports that indicate microwaves can be an effective microbicide.
Data Driven Analytics to Predict the Dynamics of the COVID 19 Outbreak and the Impact on Healthcare Providers, Resources, and Communities
This project proposes to use a novel analytical approach which incorporates artificial intelligence, data analytics, and machine learning to drive solutions to improve outcomes of the COVID-19 virus.
Rapid, Contactless Vital Signs Collection Using Computer Vision and Consumer Technologies
The goal of the proposal is to develop a computer vision algorithm for rapidly assessing an individual’s key vital signs (temperature, heart rate, respiratory rate, and blood pressure) relevant to COVID-19 utilizing a consumer grade camera.
Secure Federated Learning for Collaborative Diagnostics
This proposal leverages modern cryptographic tools to introduce a computational and software features for securely training predictive models using huge data sets distributed over several medical establishments; while ensuring patient privacy.
Testing the Filtration Efficiency of N95 Respirators for Health-Care Employees and Protecting Public Health in Pandemic Flu Emergencies
This project proposes to solve the problem of quality assurance testing for Do-It-Yourself or rapidly made personal protective equipment (PPE).
The COVID-19 Keeping Safe Program
To help communities open back up in the safest way possible, this platform will expand on the OSF Pandemic Health Worker Program for more extensive monitoring of individuals before, during, and after exposure to COVID-19.
Ventilator Duplication Kit
Aims to develop a rapidly deployable kit for using a single ventilator among multiple patients with varying ventilation needs by tailoring the delivered breaths to each individual.
View Full Project briefs from all 17 Jump ARCHES Projects