Curriculum in Biomedical Big Data: Skill Development and Hands-On Training

生物医学大数据课程：技能发展和实践培训

• 批准号: 9146562
• 负责人: MATTHEW H SAMORE
• 金额: $ 15.98万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-30 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9146562
• 关键词: Area; Big Data; Camping; Case Based Learning; Case Study; Categories; Clinical Sciences; Collaborations; Communication; Computerized Medical Record; Country; Data; Data Analyses; Data Reporting; Data Science; Data Set; Development; Discipline; Documentation; Educational Curriculum; Environment; Equilibrium; Evaluation; Faculty; Feedback; Foundations; Genomics; Goals; Health; Health Care Costs; Health Sciences; Healthcare; Healthcare Industry; Home environment; Imagery; Informatics; Interview; Knowledge; Language; Learning; Measures; Medicine; Methods; Molecular; Molecular Biology; Monitor; Participant; Process; Program Effectiveness; Recruitment Activity; Research; Research Personnel; Research Project Grants; Science; Scientist; Site; Skills Development; Sodium Chloride; Students; Surveys; Technology; Testing; Training; Training Programs; Universities; Utah; big biomedical data; biomedical informatics; case-based; clinical care; clinical decision-making; clinical investigation; data visualization; design; digital; educational atmosphere; evidence base; faculty mentor; flipped classroom; formative assessment; hands-on learning; improved; innovation; learning outcome; meetings; next generation; personalized medicine; population health; programs; research study; skill acquisition; skills; summer program

Project Summary Advances in genomics and biomedical generate huge amounts of data at the molecular level, while wide spread implementation of electronic medical records has dramatically increased digital documentation of healthcare information The objective of this proposal is to design, develop, and implement a cross-disciplinary, short-term training program in methods for utilizing Big Data in the health and biomedical science domain. Our curriculum will be organized as three two-week summer sessions: 1) “biomedical data science boot camp”; 2) “Targeted Learning with Case-Based Interdisciplinary Collaborative Learning,” and 3) "Integration, Exploration and Analysis of Heterogeneous Biomedical Data Sets for Prediction and Discovery”. Our program will include five knowledge categories: domain knowledge, computation, data representation, data visualization, and data analysis. These five areas will be integrated within an interactive learning environment that builds on principles of case-based learning and follows a flipped classroom paradigm. Program participants will be recruited from among trainees in biomedical informatics, molecular biology, population health sciences, and clinical investigation. Our curriculum will enable collaborating scientists to better comprehend the scientific language utilized in other disciplines. This will enhance communication and facilitate development of a synergistic environment which leads to improved overall quality of research studies. Upon completion of our short-term training, participants will be equipped to bootstrap their own big data research projects, participate in teams tackling big data problems in biomedicine, and pursue additional training in biomedical data sciences. The University of Utah is an ideal place for conducting this training with its superb collaborative academic environment. The University is home to the oldest academic biomedical informatics department in the country, Intermountain Healthcare is recognized as one of the world leaders in integrating informatics into clinical care, and the Salt Lake VA, is the center of VA's major informatics initiatives. Researchers from these three sites are being brought together to train the next generation of big data professionals equipped to propel data-driven analytics in medicine.

项目摘要 基因组学和生物医学的进步在分子水平上产生了大量的数据， 电子医疗记录的广泛实施极大地增加了 医疗保健信息本提案的目标是设计、开发和实施一个跨学科的， 在健康和生物医学科学领域利用大数据的方法的短期培训计划。我们 课程将分为三个为期两周的夏季课程：1）“生物医学数据科学靴子营”; 2） “以案例为基础的跨学科协作学习的目标学习”和3）“整合，探索 和分析异质生物医学数据集的预测和发现”。我们的计划将包括 五个知识类别：领域知识、计算、数据表示、数据可视化和数据 分析.这五个领域将被整合到一个基于原则的互动学习环境中 基于案例的学习，并遵循翻转课堂范式。计划参与者将从 在生物医学信息学、分子生物学、人口健康科学和临床 调查我们的课程将使合作的科学家能够更好地理解科学语言 用于其他学科。这将加强沟通，并促进发展一个协同 环境，从而提高研究的整体质量。在完成我们的短期 培训，参与者将配备引导自己的大数据研究项目，参加团队 解决生物医学中的大数据问题，并在生物医学数据科学方面进行额外的培训。的 犹他州的大学是一个理想的地方进行这种培训与其一流的合作学术 环境该大学是国内最古老的学术生物医学信息学系的所在地， Intermountain Healthcare被公认为将信息学整合到临床护理中的世界领导者之一， 和盐湖弗吉尼亚州，是弗吉尼亚州的主要信息学倡议的中心。这三个网站的研究人员是 聚集在一起，培养下一代大数据专业人员，以推动数据驱动的 医学分析