Regenstrief Informatics Research Fellowships

点击翻译按钮获取中文摘要

This application describes the Regenstrief Medical Informatics Research Fellowship Program, the mission of which is to prepare post-doctoral fellows for academic careers in medical informatics. Each year, a total of 3-4 fellows will be recruited into two-year fellowships. A few fellows will be given the option to extend to a third year. By participating in the didactic curriculum and research meetings of the existing Methods in Research Fellowship curriculum, research fellows will obtain a broad array of general research skills. Through the Medical Informatics curriculum, practicum experience, other lecture and discussion formats, and university course work they will gain competency in basic computer methods, they will improve their writing skills, learn the responsible conduct of research and the structure content and design of medical information systems, develop a general understanding of bioinformatics and imaging informatics techniques, and become familiar with the local data sets and computer systems on which they will base their research projects. Each fellow will be expected to gain competency in a modern programming language so that they can understand the strengths and limits of the systems with which they work and be able to complete project work that requires some amount of programming. Fellows will be required to complete at least two projects, one of which must be an epidemiology/database research project. They will be expected to write up the plan in a form suitable for a grant application, and the results in a form suitable for publication. By the end of their second fellowship year, fellows will have performed a clinical epidemiologic project, designed and conducted a developmental research project, performed their own data analyses, and written papers to be submitted to peer-reviewed publications. Didactic teaching and mentors will be provided by the multidisciplinary faculty of the Regenstrief Institute representing the fields of medical informatics, health services research, primary care research, decision science, bioinformatics and imaging informatics, behavioral medicine, clinical epidemiology, and biostatistics.