Vanderbilt University proposes a five-year renewal of its Biomedical Informatics Training Program. Begun in 2001, the program offers MS and PhD degrees in Biomedical Informatics, as well as nondegree postdoctoral and short-term training experiences. The program has experienced steady growth in high quality applicants and currently has more than 25 trainees, including 16 predoctoral and postdoctoral students funded by our NLM training grant, now in its ninth year. The Training Program's administrative home, the Department of Biomedical Informatics (DBMI), has likewise grown - in faculty, resources, and productivity - to become widely regarded as among the top informatics programs nationally. The informatics-rich environments of the Vanderbilt University Medical Center and the VA Tennessee Valley Healthcare System provide "hands on" training experiences that are exemplary. The MS and PhD degree programs include a core curriculum of courses in biomedical informatics and the foundation disciplines of computer science, biomedicine, and research methodology. Degree- seeking students pursue concentrated study in one of several application domains: clinical informatics, translational bioinformatics, and clinical research informatics (in development). We continue to offer research-intensive nondegree postdoctoral fellowships. For the period 2012- 2017, Vanderbilt requests a total of 15 full-time training positions (9 predoctoral and 6 postdoctoral) and 4 short-term training positions per year. Through the Meharry-Vanderbilt Alliance, we will continue to recruit Meharry students, graduates, and residents who seek training in biomedical informatics and expand recruitment efforts to underrepresented minorities from other institutions. The uniquely rich and nurturing environment for informatics at Vanderbilt is a result of the shared vision of the senior leadership of the institution for more than 20 years, that effective management of data, information and knowledge will be the competitive advantage for the university and its medical center in the current century. In this unique setting for education in biomedical informatics, our inaugural group of students has excelled in developing new knowledge that advances informatics as a scientific discipline. They are the strongest evidence that the Vanderbilt Biomedical Informatics Program has met the NLM's objectives for biomedical informatics researcher training and will continue to do so.
Vanderbilt University proposes a five-year renewal of its Biomedical Informatics Training Program and requests 15 full-time training positions (9 predoctoral and 6 postdoctoral) and 4 short-term training positions per year. Begun in 2001, the program offers MS and PhD degrees in Biomedical Informatics, as well as nondegree postdoctoral and short-term training experiences. A stimulating biomedical informatics environment, experience in engaging the minds of future researchers, and a commitment to science that improves health and health care come together in the Vanderbilt Biomedical Informatics Training Program.
|Fischer, Axel W; Heinze, Sten; Putnam, Daniel K et al. (2016) CASP11--An Evaluation of a Modular BCL::Fold-Based Protein Structure Prediction Pipeline. PLoS One 11:e0152517|
|Wiley, Laura K; Vanhouten, Jacob P; Samuels, David C et al. (2016) STRATEGIES FOR EQUITABLE PHARMACOGENOMIC-GUIDED WARFARIN DOSING AMONG EUROPEAN AND AFRICAN AMERICAN INDIVIDUALS IN A CLINICAL POPULATION. Pac Symp Biocomput 22:545-556|
|Shenson, Jared A; Cronin, Robert M; Davis, Sharon E et al. (2016) Rapid growth in surgeons' use of secure messaging in a patient portal. Surg Endosc 30:1432-40|
|Harris, Leonard A; Frick, Peter L; Garbett, Shawn P et al. (2016) An unbiased metric of antiproliferative drug effect in vitro. Nat Methods 13:497-500|
|Temple, Michael W; Lehmann, Christoph U; Fabbri, Daniel (2016) Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU. Appl Clin Inform 7:101-15|
|Warner, Jeremy L; Rioth, Matthew J; Mandl, Kenneth D et al. (2016) SMART precision cancer medicine: a FHIR-based app to provide genomic information at the point of care. J Am Med Inform Assoc 23:701-10|
|Rioth, Matthew J; Thota, Ramya; Staggs, David B et al. (2016) Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling. J Am Med Inform Assoc 23:773-6|
|Steitz, Bryan D; Weinberg, Stuart T; Danciu, Ioana et al. (2016) Managing and Communicating Operational Workflow: Designing and Implementing an Electronic Outpatient Whiteboard. Appl Clin Inform 7:59-68|
|Rioth, M J; Warner, J; Savani, B N et al. (2016) Next-generation long-term transplant clinics: improving resource utilization and the quality of care through health information technology. Bone Marrow Transplant 51:34-40|
|Rioth, Matthew J; Staggs, David B; Hackett, Lauren et al. (2016) Implementing and Improving Automated Electronic Tumor Molecular Profiling. J Oncol Pract 12:e332-7|
Showing the most recent 10 out of 136 publications