Indiana University/Regenstrief Institute Biomedical Informatics Research Training

印第安纳大学/Regenstrief 研究所生物医学信息学研究培训

• 批准号: 7877775
• 负责人: John T Finnell
• 金额: $ 36.04万
• 依托单位: INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS
• 依托单位国家: 美国
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7877775
• 关键词: Applications Grants; Behavioral Medicine; Bioinformatics; Biometry; Clinical; Clinical Investigator; Clinical Research; Computer Systems; Computing Methodologies; Data Analyses; Data Set; Databases; Development; Educational Curriculum; Educational process of instructing; Epidemiology; Faculty; Fellowship; Fellowship Program; Health Services Research; Indiana; Informatics; Institutes; Learning; Master' s Degree; Medical Informatics; Mentors; Mission; Paper; Peer Review; Postdoctoral Fellow; Programming Languages; Public Health; Public Health Informatics; Publications; Recruitment Activity; Research; Research Project Grants; Research Training; Science; Structure; System; Universities; Work; Writing; base; biomedical informatics; career; clinical epidemiology; design; experience; imaging informatics; improved; investigator training; lectures; medical information system; multidisciplinary; programs; responsible research conduct; skills

DESCRIPTION (provided by applicant): 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 Clinical Investigator Training Enhancement (CITE) masters degree program, 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 public health and clinical research informatics, 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 and database system 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, public health informatics, health services research, decision science, bioinformatics and imaging informatics, behavioral medicine, clinical epidemiology, and biostatistics.

描述（由申请人提供）： 本申请描述了Regenstrief医学信息学研究奖学金计划，其使命是为医学信息学的学术生涯准备博士后研究员。每年将征聘3至4名研究员，提供两年期研究金。少数研究员可选择延长到第三年。通过参加教学课程和临床研究者培训增强（CITE）硕士学位课程，研究员将获得广泛的一般研究技能。通过医学信息学课程，实习经验，其他讲座和讨论形式，以及大学课程工作，他们将获得基本计算机方法的能力，他们将提高写作技能，学习负责任的研究行为和医疗信息系统的结构内容和设计，发展对公共卫生和临床研究信息学的一般理解，并熟悉当地的数据集和计算机系统，他们将根据他们的研究项目。每个研究员都将获得现代编程语言和数据库系统的能力，以便他们能够了解他们工作的系统的优势和局限性，并能够完成需要一些编程的项目工作。 研究员将被要求完成至少两个项目，其中一个必须是流行病学/数据库研究项目。他们将被要求以适合申请补助金的形式撰写计划，并以适合出版的形式撰写结果。在第二个研究金年度结束时，研究员将完成一个临床流行病学项目，设计和实施一个发展研究项目，进行自己的数据分析，并撰写论文提交给同行评审的出版物。教学和导师将由Regenstrief研究所的多学科教师提供，代表医学信息学，公共卫生信息学，卫生服务研究，决策科学，生物信息学和成像信息学，行为医学，临床流行病学和生物统计学领域。