A paper co-authored by a team of OneFlorida researchers, including faculty in the Department of Health Outcomes & Policy (HOP), was selected for the American Medical Informatics Association’s (AMIA) 2017 Distinguished Paper Award at AMIA’s 2017 Annual Symposium in Washington, D.C. in November.
The research team, led by Zhe He, Ph.D., an assistant professor in the School of Information at Florida State University, included Betsy Shenkman, Ph.D., professor and chair of the Department of Health Outcomes & Policy, director of UF’s Institute for Child Health Policy, co-director of the UF Clinical and Translational Sciences Institute (CTSI), associate director of population research at UF’s Cancer Center, and director of the OneFlorida Clinical Research Consortium; William Hogan, M.D., M.S., professor in HOP, director of biomedical informatics at UF’s CTSI, and director of informatics for the OneFlorida Clinical Research Consortium; and Jiang Bian, Ph.D., and Yi Guo, Ph.D., assistant professors in biomedical informatics at HOP.
At the symposium, He presented “Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment on Clinical Trials on Type 2 Diabetes Mellitus.” The study, which also included researchers and data from University College London in London, explored the use of data analytics and electronic health records (EHR) to help improve the generalizability of clinical trial results for diabetes interventions to real-world patients. He’s team used data analytics and the electronic health records (EHR) of some 10 million patients represented in the OneFlorida Data Trust and the EHR of another 10 million patients in the University College London’s CALIBER research platform to evaluate the feasibility and effectiveness of performing generalizability analyses during the recruitment phase of a clinical study instead of at the end of the study.