Columbia University's biomedical informatics training program seeks to advance the discipline of biomedical informatics by providing a broad and rigorous formal course exposure paired with intense research training in a strong health-focused environment. Our program is run by Columbia?s Department of Biomedical Informatics, and it offers an exceptionally rich environment as it is closely tied to NewYork-Presbyterian Hospital, the Columbia Data Science Institute, the Department of Systems Biology, and departments and schools throughout the university. We have a large, internationally recognized faculty with consistent involvement in national biomedical informatics projects. In addition, our clinical information systems service responsibilities offer trainees opportunities to get first-hand exposure to, and training on, state- of-the-art clinical and research information systems. Funded by NLM since 1992, our program has produced many informatics leaders, including chairs, directors, senior research faculty, and ACMI fellows, and it has graduated 67 pre-doctoral PhD students (35 NLM trainees) and 67 NLM postdocs. Our graduate programs received 113 applications this year (79 PhD, 10 NLM postdoc, 24 non-NLM masters). Our curriculum includes a biomedical informatics core, additional courses in quantitative (including data science) methodology, qualitative methodology, information technology methodology, courses in the application domains, extensive research experience throughout the training period, teaching experience, and instruction on ethics. We cover the four application areas?health care/clinical informatics, clinical research informatics, translational bioinformatics, and public health informatics?and we cover the three educational end-points? pre-doctoral PhD, post-doctoral MA and PhD, and post-doctoral non-degree for those trainees with previous informatics doctoral training. We request 9 pre-doctoral slots and 6 post-doctoral slots.
The goal of Columbia University's training program is to advance health care through the advancement of the discipline of biomedical informatics. Our training program provides a research-oriented curriculum with rigorous formal training in informatics and data science integrated with exposure to real-world systems in clinical and research settings at our university, in our community, and around the world. Most of our graduates continue to advance the field through research as faculty members in academic institutions or through leadership and service as executives within health care facilities.
|Giguere, Rebecca; Brown III, William; Balán, Ivan C et al. (2018) Are participants concerned about privacy and security when using short message service to report product adherence in a rectal microbicide trial? J Am Med Inform Assoc 25:393-400|
|Giguere, Rebecca; Rael, Christine Tagliaferri; Sheinfil, Alan et al. (2018) Factors Supporting and Hindering Adherence to Rectal Microbicide Gel Use with Receptive Anal Intercourse in a Phase 2 Trial. AIDS Behav 22:388-401|
|Brown 3rd, William; Giguere, Rebecca; Sheinfil, Alan et al. (2018) Challenges and solutions implementing an SMS text message-based survey CASI and adherence reminders in an international biomedical HIV PrEP study (MTN 017). J Biomed Inform 80:78-86|
|Cho, Sylvia; Mohan, Sumit; Husain, Syed Ali et al. (2018) Expanding transplant outcomes research opportunities through the use of a common data model. Am J Transplant 18:1321-1327|
|Burgermaster, Marissa; Murray, Meghan; Saiman, Lisa et al. (2018) Associations Between Enteral Nutrition and Acute Respiratory Infection Among Patients in New York Metropolitan Region Pediatric Long-Term Care Facilities. Nutr Clin Pract 33:865-871|
|Grossman, Lisa V; Mitchell, Elliot G; Hripcsak, George et al. (2018) A method for harmonization of clinical abbreviation and acronym sense inventories. J Biomed Inform 88:62-69|
|Leu, Cheng-Shiun; Giguere, Rebecca; Bauermeister, José A et al. (2018) Trajectory of use over time of an oral tablet and a rectal gel for HIV prevention among transgender women and men who have sex with men. AIDS Care :1-9|
|Shaffer, Michael; Lozupone, Catherine (2018) Prevalence and Source of Fecal and Oral Bacteria on Infant, Child, and Adult Hands. mSystems 3:|
|Feller, Daniel J; Zucker, Jason; Yin, Michael T et al. (2018) Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment. J Acquir Immune Defic Syndr 77:160-166|
|Albers, D J; Elhadad, N; Claassen, J et al. (2018) Estimating summary statistics for electronic health record laboratory data for use in high-throughput phenotyping algorithms. J Biomed Inform 78:87-101|
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