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Medical Informatics Training Program
The Lister Hill National Center for Biomedical Communications provides internships, fellowships, and other training and research opportunities in biomedical informatics and clinical informatics for individuals at various stages in their careers. This LHNCBC program has for more than 20 years contributed to biomedical informatics research and trained future informatics research leaders.
Each participant spends between a few months and several years working on LHNCBC research projects under the guidance of LHNCBC research staff. Participants also attend lectures, make presentations, write manuscripts, attend and present at professional conferences, and may publish in professional journals.
This Medical Informatics Training Program is an equal opportunity program. Selection is based solely on merit, without discrimination for race, color, religion, sex, national origin, politics, marital status, sexual orientation, physical or mental handicap, or age.
In calendar year 2012, 47 interns and fellows came from 15 states and six foreign countries.
For medical school, dental school, and graduate school students:
- Biomedical Informatics Internships: Summer or semester at LHNCBC
For medical school and dental school students:
- Clinical Informatics Internships: Summer or semester at LHNCBC and the NIH Clinical Center
For graduate students and postdocs already enrolled in one of NLM's university-based biomedical informatics research training programs:
- Biomedical Informatics Rotation: Two-months (usually June and July) at LHNCBC
For medical doctors, dentists, doctors of optometry, and PhDs:
- Biomedical Informatics Research Fellowships: One, two, or three years at LHNCBC
- Clinical Informatics Research Fellowships: One, two, or three years at LHNCBC and NIH research labs
For visiting scientists:
- Medical informatics research: Summer, semester-long, or year-long sabbaticals at LHNCBC
LHNCBC, the NIH Clinical Center, and NIH research labs are located on the NIH campus in Bethesda, Maryland.
Examples of potential research areas:
Artificial intelligence Digital microscopy Medical and clinical informatics Biomedical image processing Distance learning mHealth (mobile health) Biomedical information management eHealth Natural language processing Biomedical terminologies and ontologies Evidence-based medicine Open source biomedical image analysis Clinical data repositories Global health Probabilistic modeling and data mining Clinical information systems Information access at the point of care Probabilistic ontologies Clinical text de-identification Information extraction and information retrieval Research information systems Collaborative technologies Information storage and retrieval Semantic Web technologies Computational linguistics Knowledge discovery Telemedicine, telepathology Context-aware decision support (“infobuttons”) Knowledge management UMLS Decision support for clinicians and researchers Knowledge representation Virtual microscopy, whole slide imaging Development of health informatics resources Literature-based discovery Visible human Digital libraries Machine learning Visualization and immersive display