BMI Current Projects

BMI Current Projects

BMI faculty are engaged in many diverse research endeavors that seek to impact patient care and population health. Learn more about the team’s funded projects and projects-in-development below.

You can read a full publications list for the BMI team here.

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Clinical Research Informatics

The OneFlorida Clinical Research Consortium - OneFlorida Clinical Data Research Network – OneFlorida Data Trust
Project Description:OneFlorida provides an enduring infrastructure for comparative effectiveness research and pragmatic clinical trials. It also serves as the foundation for a Clinical Data Research Network that will be a major contributor to PCORnet. OneFlorida includes nine unique clinical partner systems that in 2014 provided care for ~9.7M or 48% of all Floridians through 4,100 physician providers, 914 clinical practice settings and 22 hospitals with a catchment area covering all 67 Florida counties. OneFlorida also has partnerships with DuchenneConnect Patient Report Registry Infrastructure Project and Phelan-McDermid Syndrome Data Network. The Clinical and Translational Science Institute (CTSI) partners are the University of Florida CTSI and the University of Miami CTSI.
BMI Collaborators:Hogan, W (Co-Principal Investigator / Professor, Health Outcomes & Policy, University of Florida), Shenkman, E (Co-Principal Investigator / Chair, Health Outcomes & Policy, University of Florida), Modave, F (Co-Investigator / Associate Professor, Health Outcomes & Policy, University of Florida), Bian, J (Co-Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida), Hicks, A (Co-Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida)
Funder: PCORI
Updates:Read news about this project here.
OneFlorida Cancer Control Alliance
Project Description:The OneFlorida Clinical Research Consortium is a collaboration between UF, FSU, UM, and a variety of other organizations including other Florida colleges and universities, health care delivery organizations, community-based organizations, and public and private payers. The collaboration centers on conducting high-quality research in a variety of clinical and nonclinical settings with a diverse population. Our vision is for all Floridians to have the opportunity to both participate in and benefit from translational research to improve the health of all Floridians. The focus of this alliance, which falls within the consortium, is on cancer control and prevention.
BMI Collaborators:Hogan, W (Co-Principal Investigator / Professor, Health Outcomes & Policy, University of Florida), Shenkman, E (Co-Principal Investigator / Chair, Health Outcomes & Policy, University of Florida), Bian, J (Co-Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida)
Funder: James and Esther King Foundation Biomedical Research Program
Updates:Read news about this project here.
MIDAS Informatics Service Group
Project Description:The overall goal of the Modeling Infectious Disease Agent Study (MIDAS) Informatics Services Group is to provide a set of services to the MIDAS network and its customers: researchers, practitioners, and agencies responsible for the public’s health. The services range from expert consultations to software development. Dr. Hogan is developing a catalog service that indexes and facilitates the retrieval of information items that include datasets, publications, reports, white papers, and epidemic simulators. An innovative feature of this catalog is that it contains an ontological representation of the biological phenomena that the information items are about, and then indexes the items against this representation. We hypothesize that this reality-based approach will outperform a term-based, conceptual approach of typical resources like Medical Subject Headings, as well as unify diverse information items including datasets and publications in a single catalog.
Collaborators:Hogan, W. (Principal Investigator on subcontract from the University of Pittsburgh / Professor, Health Outcomes & Policy, University of Florida and Director of Biomedical Informatics, UF Clinical & Translational Science Institute), Espino, J. (Principal Investigator / MD, Department of Biomedical Informatics, University of Pittsburgh), Wagner, M. (Principal Investigator / Associate Professor, Director of Cooperate Relations, Department of Biomedical Informatics, University of Pittsburgh), Hicks, A (Co-Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida)
Funder: NIH
NIH/National Center for Advancing Translational Sciences
Project Description:The mission of the UF CTSI is to improve human health by accelerating the translation of scientific discoveries and the implementation of evidence-based best practices for the diagnosis, treatment, prevention and cure of human disease. The CTSI will pursue four overarching strategic goals to advance its vision, each with related initiatives and milestones. Strategic Goal 1: Chart new pathways for developing the translational workforce. Strategic Goal 2: Embed translational science throughout UF’s learning health system to support a continuous cycle of inquiry, innovation, and implementation. Strategic Goal 3: Expand statewide collaborations and opportunities to advance a participant-centered research agenda that reflects the health priorities and diversity of Florida’s 19.9M people. Strategic Goal 4: Accelerate the collective impact of the CTSA network.
BMI Collaborators:Hogan, W. (Co-Investigator on subcontract from the University of Pittsburgh / Professor, Health Outcomes & Policy, University of Florida and Director of Biomedical Informatics, UF Clinical & Translational Science Institute), Modave, F (Co-Investigator / Associate Professor, Health Outcomes & Policy, University of Florida)

Nelson, D. (PI / Professor, Associate Dean for Clinical Research in UF College of Medicine, Director of the Clinical and Translational Science Institute, University of Florida)
Funder: NIH
Integrating Data, Algorithms and Clinical Reasoning for Surgical Risk Assessment
Project Description:The objective is to develop an intelligent system, composed of high- performance computers, algorithms and physicians interacting in real time, which can generate usable medical knowledge with both increased speed and accuracy using complex clinical data. Our multidisciplinary team of scientific experts in medicine and engineering will address methodological challenges related to implementation of real-time data integration and processing, data analytics and knowledge exchange between computers and physicians in the clinical environment.
Collaborators:Bihorac, A (Principal Investigator / Associate Professor, Division of Nephrology, Hypertension, & Renal Transplantation, Department of Medicine, University of Florida), Hogan, W (Co-Investigator / Professor, Health Outcomes & Policy, University of Florida), Wang, D (Co-Investigator / Assistant Professor, Computer & Information Science & Engineering, University of Florida)
Funder:National Institute for General Medical Sciences
Representing Gender Identities in Biomedical Data
Project Description:Collecting information about gender identity (as distinct from biological sex) in electronic health records (EHRs), clinical trials, and surveys is crucial to address health disparities among gender minorities. Phase 3 of Meaningful Use Criteria requires that EHRs be able to collect gender identity data by 2018. Dr. Hicks is investigating ways of representing diverse gender identities in biomedical ontologies in manner that is culturally competent and supports the data requirements of health care providers and biomedical researchers. She has identified ways that gender minorities self-identity on Twitter and in the National Transgender Discrimination Survey, is a member of the PCORnet Research Interest Group on Sexual and Gender Minorities and is working with the Youth Gender Clinic at the University of Florida to identity how gender identity is currently recorded in their EHR.
Collaborators:Hicks, A (Project Lead), Silverstein, J (Collaborator / Professor, Pediatrics, University of Florida; Pediatric Endocrinologist, UF Health), Thompson, L (Collaborator / Assistant Professor, Pediatrics, University of Florida; Pediatrician, UF Health), Bian, J (Collaborator / Assistant Professor, Health Outcomes & Policy, University of Florida), Hall, J (Collaborator / Assistant Research Scientist, Department of Health Outcomes & Policy, UF), Rutherford MW (Collaborator / Lead Application Systems Analyst, Programmer, University of Arkansas for Medical Sciences), Mercado, R (Collaborator / Doctoral Student, College of Health and Human Performance, University of Florida), Gallet de St Aurin, C (Collaborator / Premed Student, University of Florida)

mHealth

DiaFit
Project Description:The team will create and test DiaFit, a bilingual English-Spanish mobile app that collects and analyzes multi-source data to better assist patients with Type II diabetes and obesity understand and manage their chronic conditions. DiaFit will be the first evidence-based app that incorporates recommendations for nutrition and fitness as well as patient-reported outcomes and patient prompts. The app will help users record their eating habits, medication use, glucose level, physical activity and patient-reported outcomes related to well-being. In addition, the app will allow for clinicians to monitor the progress of their patients and provide feedback in real time.
Collaborators:Modave, F. (Co-PI / Associate Professor, Health Outcomes & Policy, University of Florida), Cardel, M. (Co-PI / Assistant Professor, Health Outcomes & Policy, University of Florida), Eric Rosenberg (Investigator / Associate Professor, Chief of Internal Medicine, Physician Director for Quality and Patient Safety, Department of Medicine, University of Florida), Porter, M. (Investigator / Assistant Professor, Community Health & Family Medicine, University of Florida)
Funder:UF CTSI
Read news about this project here.
Colorectal Cancer Screening Decision Aid
Project Description:The goals of this grant are 1) to develop a web-based platform to facilitate patient-physician interaction in a clinical environment, in order to improve shared and informed decision making, 2) to assess its effectiveness in understanding the disease as well as increasing colorectal cancer screening uptake in low health literacy populations. The tool is ready and is being used now to collect data at TTU El Paso.
Collaborators:Modave, F. (Co-Principal Investigator / Associate Professor, Health Outcomes & Policy, University of Florida), Shokar, N.K. (Co-Principal Investigator / Professor, Department of Family and Community Medicine, Texas Tech University)
Funder:NIH

Ontology

Apollo: Increasing Access and Use of Epidemic Models Through the Development and Adoption of a Standard Ontology
Project Description:The science and practice of infectious disease epidemiology, like climate science, is increasingly reliant on computational simulation. The simulators — known as epidemic simulators or more generally disease transmission models (DTMs) — require machine-interpretable information about pathogens, rates of infection transmission, populations of hosts, interventions, and the outcomes of infections. Using this input information — which we refer to as an infectious disease scenario — a simulator’s algorithm computes the progression of one or more infections in one or more populations over time, under zero or more interventions. The result of this computation — the output of the simulator — is information on which decision makers can base policy or decisions about disease control. To address this problem, we are developing machine- interpretable representations for the input and outputs of DTMs and promulgating their adoption as de facto standards. The key goal of the standards is to enable an analyst to specify the same infectious disease scenario exactly once, and run the scenario on multiple simulators with no additional effort. Dr. Hogan is leading the development of the Apollo-SV ontology that is the terminological component of the overall Apollo standard.
Collaborators:Hogan, W. (Principal Investigator / Professor, Health Outcomes & Policy, University of Florida and Director of Biomedical Informatics, UF Clinical & Translational Science Institute), Wagner, M. (Principal Investigator / Associate Professor, Department of Biomedical Informatics, University of Pittsburgh)
Funder: NIH
Representing Gender Identities in Biomedical Data
Project Description:Collecting information about gender identity (as distinct from biological sex) in electronic health records (EHRs), clinical trials, and surveys is crucial to address health disparities among gender minorities. Phase 3 of Meaningful Use Criteria requires that EHRs be able to collect gender identity data by 2018. Dr. Hicks is investigating ways of representing diverse gender identities in biomedical ontologies in manner that is culturally competent and supports the data requirements of health care providers and biomedical researchers. She has identified ways that gender minorities self-identity on Twitter and in the National Transgender Discrimination Survey, is a member of the PCORnet Research Interest Group on Sexual and Gender Minorities and is working with the Youth Gender Clinic at the University of Florida to identity how gender identity is currently recorded in their EHR.
Collaborators: Hicks, A (Project Lead), Silverstein, J (Collaborator / Professor, Pediatrics, University of Florida; Pediatric Endocrinologist, UF Health), Thompson, L (Collaborator / Assistant Professor, Pediatrics, University of Florida; Pediatrician, UF Health), Bian, J (Collaborator / Assistant Professor, Health Outcomes & Policy, University of Florida), Hall, J (Collaborator / Assistant Research Scientist, Department of Health Outcomes & Policy, UF), Rutherford MW (Collaborator / Lead Application Systems Analyst, Programmer, University of Arkansas for Medical Sciences), Mercado, R (Collaborator / Doctoral Student, College of Health and Human Performance, University of Florida), Gallet de St Aurin, C (Collaborator / Premed Student, University of Florida)
Quantitative Methods for Comparative Evaluation of Biomedical Ontologies
Project Description:This projects aims to develop methods for comparatively evaluating ontological modeling decisions for both data retrieval and text mining. The approach is to develop and/or utilize existing information systems that allow the ontology to be swapped out, so that the effects of the ontology on the final results can be isolated and compared.
Collaborators:Hicks, A. (Lead Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida), Mark Musen (Mentor / Professor, Medicine (Medical Informatics) and Biomedical Data Science, Stanford University), Carl Pepine (Mentor / Professor, Medicine, Division of Cardiovascular Medicine, University of Florida), Selja Seppala (Postdoctoral Investigator / Postdoctoral Associate, Health Outcomes & Policy, University of Florida)
Mapping the National Cancer Institute Thesaurus to the Collaborative Interlingual Index
Project Description:The Collaborative Inter-lingual Index (CILI) is a new linguistic resource for seamlessly integrating multi-lingual digital lexicons. We aim to map the National Cancer Institute Thesaurus (NCIt), a widely used and freely available terminology, to CILI. This will serve as a prototype for mapping specialist vocabularies to CILI. As well as integrating the NCIt to an open, multi-lingual lexical resource that is collaboratively developed by different linguistic communities.
Collaborators:Hicks, A. (Lead Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida), Francis Bond (Co-Investigator / Associate Professor, Computational Linguistics Lab, Division of Linguistics and Multilingual Studies, Nanyang Technological University), Selja Seppala (Co-Investigator / Postdoctoral Associate, Health Outcomes & Policy, University of Florida)
MIDAS Informatics Service Group
Project Description:The overall goal of the Modeling Infectious Disease Agent Study (MIDAS) Informatics Services Group is to provide a set of services to the MIDAS network and its customers: researchers, practitioners, and agencies responsible for the public’s health. The services range from expert consultations to software development. Dr. Hogan is developing a catalog service that indexes and facilitates the retrieval of information items that include datasets, publications, reports, white papers, and epidemic simulators. An innovative feature of this catalog is that it contains an ontological representation of the biological phenomena that the information items are about, and then indexes the items against this representation. We hypothesize that this reality-based approach will outperform a term-based, conceptual approach of typical resources like Medical Subject Headings, as well as unify diverse information items including datasets and publications in a single catalog.
Collaborators:Hogan, W. (Principal Investigator on subcontract from the University of Pittsburgh / Professor, Health Outcomes & Policy, University of Florida and Director of Biomedical Informatics, UF Clinical & Translational Science Institute), Espino, J. (Principal Investigator / MD, Department of Biomedical Informatics, University of Pittsburgh), Wagner, M. (Principal Investigator / Associate Professor, Director of Cooperate Relations, Department of Biomedical Informatics, University of Pittsburgh), Hicks, A (Co-Investigator / Assistant Professor, Health Outcomes & Policy, University of Florida)
Funder: NIH
The Drug Ontology
Project Description: The Drug Ontology (DrOn) is a representation of drug products and their ingredients, mechanisms of action, strengths, and dose forms. We created DrOn for use cases in comparative effectiveness research, primarily to help investigators query prescription records by the ingredient(s), mechanism(s) of action, and therapeutic indications of the drug products that were prescribed.
Collaborators:Hogan, W. (Professor, Health Outcomes & Policy, University of Florida and Director of Biomedical Informatics, UF Clinical & Translational Science Institute), Hanna, J. (Assistant Director, Research Admin., Health Outcomes & Policy University of Florida), Hicks, A. (Assistant Professor, Health Outcomes & Policy, University of Florida), Bian, J. (Assistant Professor, Health Outcomes & Policy, University of Florida), Delcher, C. (Assistant Professor, Health Outcomes & Policy, University of Florida)
Funder: NIH, PCORI

Social Media

Developing a Facebook App to Increase Colorectal Cancer Screening
Project Description:This project team will develop a Facebook app that can calculate patients’ risk of developing colorectal cancer, offer personalized tips for reducing the risk, and send friendly reminders about colorectal cancer screening via the popular social media platform. Colorectal cancer is the second leading cause of cancer-related death in the United States, but it is highly preventable through regular screening. The U.S. Preventive Services Task Force recommends screening for all adults ages 50 and over. However, only 58.6 percent of the eligible population actually complies with screening guidelines. The numbers are even lower among racial and ethnic minority populations.
Collaborators:Bian, J. (Assistant Professor, Health Outcomes & Policy, University of Florida), Guo, Y. (Assistant Professor, Health Outcomes & Policy, University of Florida), George, T. (Associate Professor, Division of Hematology and Oncology, University of Florida), Dodd, V. (Associate Professor, Community Dentistry and Behavioral Science, University of Florida)
Funder:UF Clinical and Translational Science Institute
Read news about this project here.
Representing Gender Identities in Biomedical Data
Project Description:Collecting information about gender identity (as distinct from biological sex) in electronic health records (EHRs), clinical trials, and surveys is crucial to address health disparities among gender minorities. Phase 3 of Meaningful Use Criteria requires that EHRs be able to collect gender identity data by 2018. Dr. Hicks is investigating ways of representing diverse gender identities in biomedical ontologies in manner that is culturally competent and supports the data requirements of health care providers and biomedical researchers. She has identified ways that gender minorities self-identity on Twitter and in the National Transgender Discrimination Survey, is a member of the PCORnet Research Interest Group on Sexual and Gender Minorities and is working with the Youth Gender Clinic at the University of Florida to identity how gender identity is currently recorded in their EHR.
Collaborators: Hicks, A (Project Lead), Silverstein, J (Collaborator / Professor, Pediatrics, University of Florida; Pediatric Endocrinologist, UF Health), Thompson, L (Collaborator / Assistant Professor, Pediatrics, University of Florida; Pediatrician, UF Health), Bian, J (Collaborator / Assistant Professor, Health Outcomes & Policy, University of Florida), Hall, J (Collaborator / Assistant Research Scientist, Department of Health Outcomes & Policy, UF), Rutherford MW (Collaborator / Lead Application Systems Analyst, Programmer, University of Arkansas for Medical Sciences), Mercado, R (Collaborator / Doctoral Student, College of Health and Human Performance, University of Florida), Gallet de St Aurin, C (Collaborator / Premed Student, University of Florida)

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