The University of Illinois Chicago is set to lead a project in collaboration with the University of Iowa, University of Missouri, Loyola University, Microsoft and Tackle AI which will see artificial intelligence utilised to unify data from a range of health professions.
The purpose of the project is create novel and holistic datasets capable of making discoveries that could have a positive impact on patient outcomes and care, with researchers to “create new ways” to combine structured data and free-text notes for “more effective use in electronic health records”. In particular, the project will focus on two patient populations noted to have complexities: patients who have experienced fall-related injuries and infants transitioning from neonatal care unit to their own home.
The project will see the researchers using “advanced computational methods on the novel data sets to create all-team care summaries and powerful new AI applications”, and analysing the data to try and find new scientific discoveries which could have a positive impact on care.
Catherine K. Craven, a principal investigator and biomedical informatician at the University of Missouri School of Medicine, comments: “Falls and NICU patients require all-team care while in the hospital and via outpatient clinics. But fragmented, siloed documentation impedes communication. By unifying this data, we can improve communication between health care providers, the patient and their care partners and generate novel scientific insights that improve patient outcomes.”
In other news on artificial intelligence in use to support healthcare, HTN recently reported how the University of Iowa Health Care us using AI to support teams, reduce the administrative burden, and develop stronger connections with patients. We highlighted a new Finnish/US collaboration utilising AI and digital twin technology to discover and develop new treatments for cancer; and we also covered the news that public emergency medical service Urgences-santé Quebec announced a new AI initiative aiming to help optimise prehospital care planning.
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