For any health care organization to provide the best patient care long term, continuous learning and improvement must be a priority. There is something to be learned from each patient visit, diagnosis and treatment that can help produce a better experience for others in the future.
Under the direction of the National Academy of Medicine, academic health centers across the U.S. are striving to create this ideal by developing learning health systems. In these systems, science, informatics, incentives and culture combine for ongoing improvement, best practices are smoothly implemented and data are collected to continue the cycle.
Led by Chair Elizabeth Shenkman, Ph.D., the University of Florida College of Medicine Department of Health Outcomes and Biomedical Informatics, or HOBI, has been building a learning health system with UF Health and the University of Florida Clinical and Translational Science Institute, or CTSI, for years. Thanks to successful team science and UF’s artificial intelligence initiative, progress has developed rapidly, with promising impacts for students, scientists, practitioners and patients across the university, state and country.
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