Third, we will integrate it into the UF EMR and build clinical decision support (CDS) tools that identify patients at highest risk for cognitive disorders and guide referral by primary care providers to brain health specialists. Mark Hoyer, Stephen M. Roberts, Nancy D. Denslow, Jiang Bian, William R. Hogan. 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. The overarching goal of the proposed project is to examine the effectiveness of a personalized, interactive asthma smarthphone application in reducing asthma morbidity among adolescents who are at increased risk for future asthma exacerbations. Lifecourse epidemiology is the study of chronic disease risk associated with the long‐term effects of exposures occurring throughout the life course. Jiang Bian. The intent was that all studies identified… To achieve this, we will develop software to support tight integration into the two most common academic medical center EHRs--Epic and Cerner. 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. I am interested in designing security models and developing patient-centric privacy-preserving software systems such as privacy-preserving record linkage systems, secure health information exchange platform, and privacy-preserving cohort discovery framework. The address on file for this person is 2603 Sw 118th Ter, Gainesville, FL 32608 in Alachua County. 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. College of Medicine 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. Design, development, and testing of eHealth applications for management of chronic diseases and promotion of healthy behaviors through multi-level interventions. Search for more papers by this author. It is imperative to have tools and software designed and developed using informatics principles to support clinical and clinical research activities. Further, one key focus area is to identify multi-level interventions (targeting patients, caregivers, providers, and health care systems). We focus on breast, lung, and colorectal cancer trials. The aggregation of the messages on social media could generate valuable information and knowledge about specific health topics, which could further help promote public health and encourage behavior changes [1–2]. 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. Jiang Bian, Ph.D., July 2018 Page 2 of 22 Professional Experience Director of Cancer Informatics and eHealth Core University of Florida Health Cancer Center Gainesville, FL IT Research Manager Research Systems, Information Technology University of Arkansas for Medical Sciences Little Rock, AR Technical Lead/Lead Application Analyst The success of this R21 project will (1) fill a knowledge gap on the validity and utility of the different generalizability assessment methods; (2) provide an easy-to-use toolbox ctGATE for assessing study generalizability much-needed by the clinical research community; and (3) help the clinical researchers choose the most appropriate generalizability assessment methods with readily available implementations. Development of novel informatics methods, tools and systems to support clinical and clinical research activities. Visit the Institute for Child Health Policy Site, Health Outcomes and Implementation Science, Ph.D. in Medical Sciences, Health Outcomes and Implementation Science, Ph.D. in Medical Sciences, Biomedical Informatics, M.S. Verified email at ufl.edu - Homepage. Concerns over high false positives, invasive diagnostic procedures, postprocedural complications, and downstream health care costs impede developing and promoting lung cancer screening program. 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. University of Florida, USA. and Biomedical Informatics. OneFlorida is a Data Research Network that provides an enduring infrastructure for comparative effectiveness research and pragmatic clinical trials. Jiang Bian, Ph.D., July 2018 Page 6 of 18 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). The UF Health Cancer Center has a newly formed shared resource available for UF Health investigators. 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. Jiang. The risk factors for severe COVID-19 beyond older age and certain underlying health conditions are largely unknown. This project is to develop further the research infrastructure in OneFlorida as part of PCORnet 2.0. 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. UF COLLEGES OF MEDICINE, VETERINARY MEDICINE, AND IFAS. 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). Based on the data from the 2015 National Survey on Drug Use and Health (NSDUH), in the United States 1 in 5 adults experience a mental illness and nearly 1 in 25 live with a serious mental illness. In particular, my efforts have led to the development of the Comprehensive Research Informatics Suits (CRIS). Bian Jiang is a Manager with Nana Analytics, LLC in Florida. Selected Articles (Complete list from Google Scholar (https://scholar.google.com/citations?hl=en&user=ysr–voAAAAJ&view_op=list_works&sortby=pubdate). Further, I have led the development of the Enterprise Image Repository (EIR) and the Trauma Image Repository (TIR) – a medical image exchange platform for telemedicine that has been widely used in the state of Arkansas. JIANG BIAN | Orlando, Florida | Student at University of Central Florida | 48 connections | View JIANG's homepage, profile, activity, articles 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. University of Central Florida, USA. in Medical Sciences, Health Outcomes and Implementation Science, M.S. Currently, the monthly worldwide active users of 2 major social media platforms, Facebook and Twitter, have reached 2.20 billion and 336 million, respectively. Gainesville, FL. Bian is working as the Assistant Professor at the University of Florida. Specially, we have mined Twitter data for detecting drug-related adverse events, evaluating the adequacy of gender identification terms among transgender population, assessing the U.S. weekly trends in work stress and emotion, and understanding the impact of promotional health information on laypeople. 2 In the Unites States, the number of social media users is … ‪Health Outcomes & Biomedical Informatics, University of Florida‬ - ‪Cited by 1,787‬ - ‪cancer informatics‬ - ‪data science‬ - ‪eHealth and social media‬ - ‪semantic web‬ - ‪data privacy in healthcare‬ ... Jiang Bian. BIAN JIANG IN GAINESVILLE, FL Recent studies suggested that long-term environmental exposures may be important determinants of severe COVID-19. 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. 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. We propose to create new methods and software for risk factor trajectories, and broadly disseminate them to a wide audience of scientists. Data-driven approaches that aim to discover patterns from massive amount of data and make clinically relevant predictions are becoming increasingly common in translational research. “Health care providers should address their own biases and understand the complexities of LGB patients, making sure to provide guideline-directed recommendations in a culturally competent way,” said study co-author Jiang Bian, Ph.D., associate professor of Health Outcomes and Biomedical Informatics at the University of Florida College of Medicine. University of Florida. Associate Professor Mattia Prosperi. 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. 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. University of Florida. 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) 1 The total number of users of all major social media platforms is predicted to be 3.02 billion by 2021. Health and Health Professions. The University of Florida Academic Health Center - the most comprehensive academic health center in the Southeast - is dedicated to high-quality programs of education, research, patient care and public service. Thus, our research also taps into innovations in health information technology (IT) such as integrating patient-reported outcome (PRO) collection toolkit into EHR workflows and tools that provide evidence-based clinical decision support. Second, we will replicate the model using historical data captured by the EMRs at OneFlorida Clinical Research Consortium sites. bianjiang@ufl.edu Jae S. Min. Jiang Bian Ph.D. Director Of Cancer Informatics And EHealth Core & Associate Professor. Unlocking the value of big data computing systems to achieve the optimal use of those systems demands strong background in multiple disciplines (e.g., data integration, machine-/deep-learning methods, distributed systems, algorithms). For example, our work on clinical trial generalizability assessment has used RWD (e.g., large collections of linked EHRs and claims data from the OneFlorida network) to identify trial generalizability issues during its design phase. Zhang H, Guo Y, Hogan W, Li Q, George TJ, Shenkman EA, Modave, F. Lossio-Ventura JA, Hogan WR, Modave F, Guo Y, He Z, Yang X, Zhang H. Hicks A, Hogan WR, Rutherford M, Malin B, Xie M, Fellbaum C, Yin Z, Fabbri D, Hanna J. Yuan J, Malin B, Modave F, Guo Y, Hogan WR, Shenkman E. 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. Health Outcomes & Biomedical Informatics, University of Florida. Mo Wang. 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. 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. 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. Jiang Bian, PhD Network science, consumer health informatics, big data analytics, social media, security & privacy, software engineering Learn More ... UF Health is a collaboration of the University of Florida Health Science Center, Shands hospitals and other health care entities. 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. Data can save lives, and it is a moral imperative to work in this direction, respecting and protecting the persons who are the data. Health Outcomes & Biomedical Informatics Second, we will replicate the model using historical data captured by the EMRs at OneFlorida Clinical Research Consortium sites. m.prosperi@ufl.edu. Many health behaviors, despite being an individual choice, is often influenced by social and cultural context. ORCID: 0000-0002-2238-5429 Department: MD-HOBI-GENERAL ... UF Health is a collaboration of the University of Florida Health Science Center, Shands hospitals and other health care entities. Social media such as Twitter and Facebook afford us enormous opportunities to understand the intersections of individual behaviors, social-environmental factors, and social interactions on social media platforms. I. Dean: M.L. UF Health is a collaboration of the University of Florida Health Science Center, Shands hospitals and other health care entities. UF College of Medicine Research Dr. Bian’s expertise and background serve an overarching theme: data science with heterogeneous data, information and knowledge resources. We have also developed open source software for the collection and analysis of social media data. Department of Epidemiology. CRIS now is the standard clinical research management system at the University of Arkansas for Medical Sciences (UAMS). Department of Health Outcomes. Jiang Bian Associate Professor at University of Florida Gainesville, Florida Higher Education 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. Jiang Bian. Director of Cancer Informatics and eHealth Core Our work in this area focuses on (1) developing software tools and systems that are capable of handling big data in terms of integration, storage, searching, sharing, analyzing, and visualizing; and (2) using heterogeneous data sources, especially real-world data (RWD) such as electronic health records (EHRs) and administrative claims data to generate real-world evidence (RWE). In 2016, we selected all 11- to 12-year-old boys and girls seen in one clinic whose vaccine records did not include the HPV vaccine (n=286). Address for correspondence: Wei Wang, Department of Psychology, University of Central Florida, 4111 Pictor Lane, Psychology Bldg 99 Ste. INTRODUCTION. Gainesville, FL. Use of social media has grown rapidly in the past 10 years. Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome. We assessed the feasibility and acceptability of a sequential approach of parent-targeted HPV vaccine reminders and phone-based Motivation Interviewing (MI). 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. The social media like Twitter and Facebook encourage the users to share their thoughts, opinions and details of their lives. We propose 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. However, very few environmental … Jiang Bian. Overview. Further, we will examine the impact of sharing smartphone asthma-related data with the primary care provider (PCP) on outcomes. Mental health is an increasingly important topic in healthcare. 106 Grinter Hall 1523 Union Road PO Box 115500 Gainesville, FL 32611-5500 352 392 6622 352 392 8729 gradschool@aa.ufl.edu We will develop a generalized integration of the PROMIS toolset, utilizing the SMART-on-FHIR standard, that can be implemented in multiple EHR platforms. He Z, Gonzalez-Izquierdo A, Denaxas S, Dura A, Guo Y, Hogan WR, Shenkman E. Mansoor H (g), Elgendy IY, Segal R, Bavry AA. I have been deeply involved in various software development and data infrastructure research projects. Background The COVID-19 SRCWG reviews any study at UF JAX or UF Gainesville focusing on COVID-19 patients, the response of COVID-19 for UF employees or students, and/or COVID-19 samples/data. Good. UF Emerging Pathogens Institute • Created in 2006 with $60 million appropriation from Florida state legislature, to conduct basic 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). The working group is made up of investigators and service core representatives, as well as UF regulatory team members. 320, Orlando, FL 32816, USA. Over the past several years, our research has shown that we can mine the social web for invaluable insights into public and consumer health. This analysis was based on data of the University of Florida (UF) Health Cancer Center Catchment Area (CCCA) from multiple sources. *Correspondence to: Jiang Bian, PhD, Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, 2197 Mowry Road, Suite 122, … Although advances have been made in computing systems, the bridge from data processing to knowledge discovery, unfortunately, is still challenging. 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. We aim to answer two key research questions: (1) whether the a prior generalizability can predict the actual clinical outcomes of the interventions on the target population; and (2) how the exclusion criteria that may limit older adults’ participation affect study generalizability and outcomes of patients in different age groups. Contact editor: Jiang Bian; bianjiang@ufl.edu. Xi Yang 1 2 , Jiang Bian 1 2 , William R Hogan 1 , Yonghui Wu 1 2 Affiliations 1 Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida… Semantic Web and Ontology. The College of Medicine offers training opportunities leading to either the Doctor of Philosophy or Master of Science degree in medical sciences. We focus on breast, lung, and colorectal cancer trials. 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). Jiang Bian is an associate professor and director of Cancer Informatics and EHealth Core at the University of Florida College of Medicine. Semantic web and ontology—advancing knowledge representation and creating applications of knowledge bases/graphs. Naturally, we investigated applications and other areas that use graph-based data structures. Corresponding Author. College of Medicine, University of Florida. William Hogan, M.D., professor in the Department of Health Outcomes & Policy and director of Biomedical Informatics at UF’s Clinical and Translational Science Institute, was elected to membership in the American College of Medical Informatics (ACMI), a distinction that is considered one of the highest honors in the field of medical informatics. College of Medicine & College of Public. eHealth is an emerging field in the intersection of informatics, computer science, health communication, public health, and health care delivery, leveraging the booming and related technologies (e.g., web- or mobile-based apps and wearables) to enhance and deliver health services and information. Wei Wang. Yi Guo, Jiang Bian, Francois Modave, Qian Li, Thomas J George, Mattia Prosperi, and Elizabeth Shenkman. Following best practices (e.g., user-centered design, Agile software development), we designed and developed a wide range of eHealth applications and have shown their effectiveness in funded clinical trials. University of Florida Health Cancer Center Jiang Bian Hui Hu Background Fine particulate matter (PM2.5) is a complex mixture of fine particulates with large spatiotemporal heterogeneities in chemical compositions. Predicted to be 3.02 billion by 2021 as the Assistant Professor at the University Florida! Uf COLLEGES of MEDICINE, VETERINARY MEDICINE, and colorectal Cancer trials sequential approach of parent-targeted HPV vaccine and! Science, M.S research infrastructure in OneFlorida as part of PCORnet 2.0 to Understand the Impact of sharing smartphone data. 3.02 billion by 2021 Bian is working as the Assistant Professor at the University of for. 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