Despite the availability of free routine immunizations for low-income families through a federal program, many children are not vaccinated, vaccinated late for their age, or don’t complete the course of the immunization schedule. Peoria, Illinois-based OSF HealthCare wants to change that.
Through a nearly $75,000 grant available through its Jump ARCHES program, and nearly $30,000 in state grant funding through the Illinois Innovation Network, OSF Innovation and partners are using artificial intelligence (AI) tools to design, develop and deploy a mobile child vaccination program for underserved communities in Illinois.
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The grants leverage the resources of OSF HealthCare’s Innovation Design Lab where solutions can be developed, tested, and refined for practical use. Design Lab Director Scott Barrows says teams at OSF Jump Simulation and the University of Illinois College of Medicine in Peoria (UICOMP) will use machine learning algorithms to build artificial intelligence (AI) models designed to accurately identify geographic locations with the biggest need for childhood vaccinations.
OSF HealthCare is also developing digital tools to systematically collect information during mobile clinics to help address social determinants of health – barriers outside of a medical office that affect access to care and vaccinations including food, transportation, and income among others.
“We will be both gathering information, anonymous information, plus applying new apps and new ways to gather information about what are a community’s needs and some of them are quite dramatic,” according to Barrows.
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Barrows emphasizes solving the root causes that influence why kids aren’t vaccinated is an important aspect of the mobile vaccination clinics.
“The social determinants of health impacts everything really and that is involved in almost every app and technological intervention we create. It is critical. That is something OSF has really focused on.”
Another partner, Illinois State University in Normal, will use AI to create heat maps that identify geographic areas with the most concerning rates of under-vaccination, while also predicting the supply needs in high risk zip codes. By building on already existing data, Barrows believes the project can make a case for future funding to expand resources within communities. For example, the project could include a reminder system for families who visited a mobile clinic – to keep them on a routine vaccination schedule.
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