PEORIA MAGAZINE April 2023

Biomedical scientist and instructor Shannon Egli in the Anatomy Lab at Jump Trading Simulation & Education Center

ZIP code, etc. – which allows health providers to respond accordingly regarding disease prevention, testing and treatment. The more information the machine gathers, the more it learns, the more refined its responses become, the more patient outcomes improve. “We design the future that we think is a desirable outcome and then work backwards” to connect points A to B, process to end product, said Dr. Jonathan Handler, senior fellow at OSF Innovation. Medicine, boosted by technology, is becoming preemptive, said Vozenilek. “Health care today requires patients to seek us out,” he said. Tomorrow will bring “a system that anticipates the needs of patients and directs them to services, perhaps even before they realize they have a need … What we’re talking about here is flipping the access curve.” A good example is mammography screening, said Handler. “We saw that there were a number of women who were late on getting their mammography,” which put them at risk for having a breast cancer discovered “at a much later stage where the outcomes are not as good,” he said. “We were actually able to double the breast cancer screening rates” with proactive outreach efforts. In a similar vein, a pilot program was rolled out to screen primary care patients with diabetes for diabetic retinopathy, the top cause of adult blindness in the U.S. One in five tested positive. That data pointed doctors in the right direction and got those patients to the ophthalmologists they needed, said Becky Buchen, senior vice president at OSF Innovation. “You need … to capture the data to make sure that the device or the software or whatever … actually does what it says it does,” said Buchen. Beyond that, what distinguishes OSF Innovation/Jump is the integration of these technologies and services under one roof, said Vozenilek.

WHAT IS JUMP? The $51 million Jump Trading Simulation & Education Center opened on April 25, 2013, its construction precipitated by a $25 million donation from the DiSomma family, whose daughter had been a patient of Pearl’s following a serious accident. A former military helicopter pilot, Pearl was well aware of the use and value of simulation in aviation, wanted to apply it to medicine, and talked to his friend Bill DiSomma, a founding partner at Chicago-based Jump Trading, about that. ‘WE DESIGN THE FUTURE THAT WE THINK IS A DESIRABLE OUTCOME AND THEN WORK BACKWARDS’ — Dr. Jonathan Handler Today, Jump the building houses OSF Innovation, a division of OSF HealthCare. In turn, OSF Innovation is the umbrella group under which OSF Ventures, Jump Simulation, Healthcare Analytics and OSF Innovation operate. The DiSomma Family Foundation, among others, has been generous over the years. Spread across 168,000 square feet on six floors, the building on any given day hosts more than 500 doctors, nurses, engineers, designers, researchers, paramedics, innovators, entrepreneurs, academics, students, etc. It’s open 24-7.

OSF Innovation/Jump has three pri mary thrusts: the improvement of health care, here and everywhere, through tech nological advancement; education and training; and economic development. HEALTH CARE Behind every decision made by the leaders at Jump is how it will affect patient care and improve health outcomes, said Dr. John Vozenilek, vice president and chief medical officer at OSF Innovation. What that looks like inside Jump can seem like the stuff of science fiction. Doctors strap on virtual reality (VR) goggles to immerse themselves inside a vital organ, the three-dimensional image of which has been scanned from an actual patient, allowing them to experience the operation they’ll soon perform for real. That specific technology, pioneered at OSF Innovation, offers insights that have significantly boosted surgeon confidence and even altered pre-operative strategies. Virtual and augmented reality technologies are not the wave of the future but the reality of the present at Jump. Meanwhile, Artificial Intelligence (AI) is being used to gather massive amounts of data, which uncover patterns of behavior and social conditions that put people at risk. Predictive analytics anticipates what illnesses are coming based on a variety of patient factors – age, gender, income, family history,

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