University of Washington Biomedical Informatics and Data Science Research Training Program

摘要 华盛顿大学生物医学信息学和数据科学研究培训计划和 作为其基础的研究生课程自年开办以来已经成熟并显著扩展。 1999年。威斯康星大学提供了一个高度协作的环境，在跨学科研究方面有着良好的记录 倡议，这推动了华盛顿大学BHI活动的文化和优先事项。UW计划的核心是 认识到BHI成功研究人员的一个关键特征是能够在以下方面发挥领导作用 将计算、信息和行为科学的方法和模型转化为工具和解决方案 有关改善个人、社区、国家健康的相关挑战和机会的信息 以及全球范围内。BHI在华盛顿大学的愿景是促进研究、教育(及其转化为实践)，以 释放电子生物医学数据和信息的潜力，以推进研究和改善健康。在……里面 在这种背景下，BHI培养了该领域未来的研究领导者，拥有翻译技能和跨学科专业知识 横跨翻译生物信息学、临床研究信息学、临床信息学、消费者 卫生信息学和人口/公共卫生信息学。华盛顿大学的培训方案包括：a)核心 覆盖各学科的该领域基本概念的课程(借鉴计算机科学， 信息科学、统计和数据科学)，b)核心领域课程(生物、临床、消费者和 公共卫生)，c)方法课程(研究方法、教学和交流)，d)个性化 基础和领域领域的深度选修课。在数据科学领域，我们提供常规和高级 数据科学选项和日益增长的多学科校园范围的医疗数据科学研究倡议。至 保持其在招聘和培养学生和教师成功方面的成功，UW BHI建议继续 NLM研究培训计划，寻求资金为下一个资金周期的15名学员提供支持。因为我们 为了继续发展和发展我们的计划，我们计划扩大我们的跨学科研究合作，同时 继续发展教师队伍，利用BHI在精确医学、研究信息学、 临床信息学和分析/数据科学。

Abstract The University of Washington Biomedical Informatics and Data Science research training program and the graduate program that serves as its foundation has matured and expanded significantly since its inception in 1999. UW offers a highly collaborative environment with a strong track record of interdisciplinary research initiatives, which has driven the culture and priorities of the UW BHI activities. At its core the UW program recognizes that a key characteristic of successful BHI researchers is the ability to play a leadership role in translating methods and models from the computing, information and behavioral sciences into tools and solutions for information related challenges and opportunities to improve health for individuals, communities, nationally and globally. The vision of BHI at UW is to promote research, education (and their translation into practice) to unleash the potential for electronic biomedical data and information to advance research and improve health. In that context, BHI trains future research leaders in the field with translational skills and interdisciplinary expertise across the domains of translational bioinformatics, clinical research informatics, clinical informatics, consumer health informatics and population/public health informatics. The UW training program consists of: a) a core curriculum of foundational concepts in the field that reach across the disciplines (drawing on computer science, information science, statistics and data science), b) core domain courses (biological, clinical, consumer and public health), c) methodology courses (research methods, teaching and communication), and d) individualized in-depth electives in foundational and domain areas. In the data science domain, we offer a regular and advanced data science option and a growing multidisciplinary campus-wide medical data science research initiative. To maintain its success in recruiting and fostering success for students and faculty, UW BHI proposes to continue the NLM research training program, seeking funding to support 15 trainees for the next funding cycle. As we continue to grow and evolve our program, we plan to expand our interdisciplinary research collaborations while continuing to grow the faculty body, leveraging BHI's leadership role in precision medicine, research informatics, clinical informatics and analytics/data science.