The electronic medical record, patient summaries, public health information, mobile apps and wearables. These are just a few of the avenues constantly generating data that health care systems use to improve patient outcomes, provider and patient experience and lower costs.
As more types of data become available at volumes never imagined, how do we get to a point where data is used not only to find health care solutions, but to generate more complex queries that drive discovery? This is the focus of the Data Science and Advanced Informatics Lab.
As part of this effort, our lab is creating a new infrastructure, called a hybrid cloud, to collect, store and access data. This will give us speed and flexibility to explore value, employ advanced data techniques and artificial intelligence, and hone the best ways to serve our communities.
Data in action
Collecting and analyzing data for the benefit of our organization and patients is not new to OSF. The Healthcare Analytics team, a part of OSF Innovation, has led this type of work since 2014. The Data Science and Advanced Informatics Lab will leverage this expertise, due diligence and insights in a variety of projects that will advance health care.
A major goal is to safely and securely accelerate breakthrough innovation through a “community of discovery." Using the hybrid cloud framework, this group could easily partner, safely share information and coordinate resources to improve the robustness of data models that will lead to the next wave of innovations in health care.
As part of another project, we are working with University of Illinois at Urbana-Champaign and a Swedish company to help care for people at home. Our team is building the prototype for an app that will use machine learning to assess vital signs from anywhere. That information would then be funneled into the electronic medical record and telehealth applications.
As COVID-19 is not expected to be eradicated anytime soon, our lab plans to use a novel, analytical approach that incorporates artificial intelligence, data analytics and machine learning to personalize treatment for those who could have the virus. Information gleaned from this method could identify virus hot spots in a community and determine where to allocate resources such as staffing, equipment, medicine and space.
Partner with us
We are excited to become part of a community of discovery, and use newly established data analytics tools to become a more discovery-driven organization—one that pushes the quality of the hospital system’s practices by putting data and insights to work for patients.
If you are interested in learning more about the Data Science and Advanced Informatics Lab, participating in certain aspects of the journey or if you want to invest or partner, contact us today.