Research Grants Focus On Medical Training
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Thirteen research projects are sharing nearly $970,000 in funding through the Jump Applied Research for Community Health through Engineering and Simulation (Jump ARCHES) research and development program. The plan supports research involving clinicians, engineers, and social scientists to develop technologies and devices that could revolutionize medical training and health care delivery. The program is a partnership between OSF HealthCare and the University of Illinois (U of I), Urbana-Champaign and its College of Medicine in Peoria.
These projects were submitted to the Fall 2020 Jump ARCHES request for proposals which concerned six unique focus areas: digital health, social and behavioral disparities, autism, neurological sciences, COVID-19, and simulation and education. This was the first Jump ARCHES request for proposals that specifically concerned social and behavioral disparities to mitigate the impact of age, location, and social barriers in delivering quality health care to vulnerable populations. Emphasis was given to proposals that addressed racism, social justice, social and implicit biases, health equity, and access to care.
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“Our experience with the COVID-19 pandemic has taught us that safe and health-focused behavior has played such an important factor in mitigating the spread of the disease,” said John Vozenilek, M.D., F.A.C.E.P., V.P., and Chief Medical Officer of Jump Simulation Center in Peoria. Many of the projects represented here involve technology to improve earlier intervention which is key, particularly as we look to bring solutions for disparities in health outcomes for those who are at increased risk. It is clear there is a link between chronic health conditions and vulnerability to infectious diseases such as COVID-19. He added, “Our work is to improve prevention and early treatment for those disproportionately impacted.”
A special request for proposals for spring 2021 is being planned with an emphasis on solutions to the unprecedented challenges faced in a post-COVID-19 world.
Some key projects include: Remote state anxiety detection and monitoring using multimodal wearable sensors, Spatio-temporal Analysis with Tensor Factorization and Visualization for Pediatric Mobile Vaccination, and Toward Automated Diagnosis of Seizures and 3D Representation of SEEG Clinical Data.
