in Medical Sciences, Health Outcomes and Implementation Science, M.S. University of Florida. Leveraging state-of-the-art data privacy research to construct technologies that enable privacy in the context of real-world organizational, political, and health information architectures. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. We propose first to systematically review the extant methods for generalizability assessments, and then use a data-driven strategy to reproduce, evaluate, and compare these methods with our unique data resource, the OneFlorida Data Trust. First, we will utilize data captured by the EMR at the University of Florida (UF), to develop a cognitive impairment/dementia/AD prediction model (UF AD prediction model). Jiang Bian. Lung cancer screening using Low-dose computed tomography is a promising technique to reduce the burden of lung cancer, the leading cause of cancer-related death in the United States. Further, one key focus area is to identify multi-level interventions (targeting patients, caregivers, providers, and health care systems). This project is to develop further the research infrastructure in OneFlorida as part of PCORnet 2.0. Second, we will replicate the model using historical data captured by the EMRs at OneFlorida Clinical Research Consortium sites. Jiang Bian. Corresponding Author: Jiang Bian, PhD, College of Medicine, University of Florida, 2197 Mowry Road Suite 122, PO Box 100177, Gainesville, FL 32610-0177, USA (bianjiang@ufl.edu) m.prosperi@ufl.edu. Yi Guo, who is the first author of this study, is an assistant professor in the Department of Health Outcomes & Biomedical Informatics in the College of Medicine at the University of Florida. Although privacy protection of health information is highly regulated (e.g., HIPAA), there lacks a consistent and efficient model for developing software systems involving electronic health records (EHRs). I love doing research in biomedical informatics, but I also enjoy writing high quality code and producing real-world products that will make a broader impact... Data-driven medicine—applications of data science techniques, including machine-/deep-learning methods on solving heterogeneous and big data problems in medicine. Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. The social media like Twitter and Facebook encourage the users to share their thoughts, opinions and details of their lives. Mining the Internet, including the social web, to provide insights into health-related behavior and health outcomes of various populations and finding ways to develop interventions that promote public and consumer health. The College of Medicine offers training opportunities leading to either the Doctor of Philosophy or Master of Science degree in medical sciences. In particular, my efforts have led to the development of the Comprehensive Research Informatics Suits (CRIS). At the University of Florida (UF), I have crucial role in building the OneFlorida Data Trust, a secure data repository currently containing ~15 million linked patient records of different types integrating diverse data sources. Many health behaviors, despite being an individual choice, is often influenced by social and cultural context. This analysis was based on data of the University of Florida (UF) Health Cancer Center Catchment Area (CCCA) from multiple sources. Health Outcomes & Biomedical Informatics, University of Florida. Bian J, Zhao Y (g, co-first), Salloum RG, Guo Y, Wang M, Prosperi M, Zhang H, Du X, Ramirez-Diaz LJ, He Z, Sun Y. Second, we will replicate the model using historical data captured by the EMRs at OneFlorida Clinical Research Consortium sites. *Correspondence to: Jiang Bian, PhD, Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2197 Mowry Road, Suite 122, … INTRODUCTION. Design, development, and testing of eHealth applications for management of chronic diseases and promotion of healthy behaviors through multi-level interventions. 1 The total number of users of all major social media platforms is predicted to be 3.02 billion by 2021. CRIS now is the standard clinical research management system at the University of Arkansas for Medical Sciences (UAMS). Bian Jiang is a Manager with Nana Analytics, LLC in Florida. He Z, Gonzalez-Izquierdo A, Denaxas S, Dura A, Guo Y, Hogan WR, Shenkman E. Mansoor H (g), Elgendy IY, Segal R, Bavry AA. Wei Wang. Semantic web and ontology—advancing knowledge representation and creating applications of knowledge bases/graphs. We will 1) develop ontologies, corpora, and NLP methods to extract SDoH, BDoH, and AEs with improved handling of abbreviations related to medical concepts; 2) develop methods to integrate medical knowledge with statistical NLP methods; and 3) develop and disseminate an NLP package – SODA, which extracts, standardizes, and populates SDoH, BDoH, and AEs information (in addition to clinical factors) from clinical narratives to the PCORnet CDM. We will develop a generalized integration of the PROMIS toolset, utilizing the SMART-on-FHIR standard, that can be implemented in multiple EHR platforms. Perry T, Marshall A, Berlinski A, Rettiganti M, Brown R, Randle S, Luo C. He X, Zhang R, Rizvi R, Vasilakes J, Yang X, Guo Y, He Z, Prosperi M. Zhang H (g), He Z, He X (g), Guo Y, Nelson DR, Modave F, Wu Y, Hogan WR. Data can save lives, and it is a moral imperative to work in this direction, respecting and protecting the persons who are the data. This project seeks to develop clinical natural language processing (NLP) methods and systems to extract and connect social & behavioral determinants of health (SDoH & BDoH) and adverse events (AEs) with clinical factors generated by clinical practice in patients’ electronic health records (EHRs) for health outcomes research. The risk factors for severe COVID-19 beyond older age and certain underlying health conditions are largely unknown. Gainesville, FL. University of Florida, USA. I have been deeply involved in various software development and data infrastructure research projects. Our research is to leverage a large repository of linked electronic health record (EHR) and administrative claims data to understand contemporary use of lung cancer screening and the associated health care outcomes and costs in a real-world setting. Moreover, I have lead the development of the CLinicAl Research Administration (CLARA) system, as part of UAMS's CTSA effort, to manage the complex regulatory requirements of clinical trials. The Cancer Informatics Shared Resource (CISR) provides a centralized resource of expertise and infrastructure in the informatics aspects of biomedical, translational and population cancer research that enhances scientific interaction and research productivity. Finally, we will implement and evaluate these software solutions across a number of diverse CTSA sites both within and outside of the project team CTSA sites. In particular, we have used ontology and semantic web technology stack as a data and knowledge representation framework to solve various informatics challenges: (1) creating ontology-based semantic data integration infrastructure to harmonize heterogeneous datasets; (2) turning free-text clinical trial eligibility criteria into machine-computable form to support cohort discovery and recruitment; and (3) developing knowledge bases/graphs to provide evidence-based information to lay consumers. Good. 106 Grinter Hall 1523 Union Road PO Box 115500 Gainesville, FL 32611-5500 352 392 6622 352 392 8729 gradschool@aa.ufl.edu Recent studies suggested that long-term environmental exposures may be important determinants of severe COVID-19. The UF Health Cancer Center has a newly formed shared resource available for UF Health investigators. When repeated measurements of risk factors over time are used to predict disease outcomes, the complex study designs require new data and sample size methods and software. Verified email at ufl.edu - Homepage. To the Editor: “A call for deep-learning healthcare” by Norgeot et al 1 is a farsighted and inspiring manifesto toward the progress of medicine through policy-empowered and interdisciplinary data science. Health Outcomes & Biomedical Informatics This line of research started with an interest in using network science and graph theory as a conceptual framework for interpreting health and health care data from a unique perspective. bianjiang@ufl.edu ... At the University of Florida (UF), I have crucial role in building the OneFlorida Data Trust, a secure data repository currently containing ~15 million linked patient records of different types integrating diverse data sources. Over the past several years, our research has shown that we can mine the social web for invaluable insights into public and consumer health. in Medical Sciences, Biomedical Informatics, Graduate Certificate in Implementation Science, Graduate Certificate in Biomedical Informatics, GMS 6848 Ensuring Rigor and Reproducibility in Clinical and Translational Research, This page uses Google Analytics (Google Privacy Policy), https://scholar.google.com/citations?hl=en&user=ysr–voAAAAJ&view_op=list_works&sortby=pubdate. Of the 12% of respondents who identified as LGB, less than 21% were taking statins for primary prevention, compared with nearly 44% of non-LGB adults. Special Issue: The Semantics of Mental Health, Intelligent Systems in Social Web and Health Research 2020 (ISSWHR 2020), Open CFP; Due (tentative): January 31, 2020, In conjunction with the The 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (, NIH/NCI 1R01CA246418-01, 01/01/2020 - 12/31/2023, PCORI ME-2018C3-14754, 01/01/2020 - 01/31/2023, NIH/NIA 1 R21 AG061431-01, 01/15/2019 - 11/30/2020, NSF SBE #1734134, 09/01/2017–08/31/2020, NIH/NCATS 1U01TR001806-01, 09/15/2016–09/14/2020, NIH/NINR, NIGMS 1R01NR015988-01A1, 07/20/2018 – 05/31/2023, Role: Co-Investigator (EHR Integration Lead, eHealth), NIH/NIGMS 9R01GM121081-05, 08/15/2016–06/30/2020, Role: Co-Investigator (Software Lead, eHealth).

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