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成立以来已经成熟并显着扩大， 1999. UW提供了一个高度协作的环境，具有跨学科研究的良好记录 这些举措推动了UW BHI活动的文化和优先事项。在其核心的华盛顿大学计划 认识到，成功的BHI研究人员的一个关键特征是能够发挥领导作用， 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 了解与信息有关的挑战和机遇，以改善个人、社区和国家的健康状况， 和全球范围内。BHI在UW的愿景是促进研究，教育（及其转化为实践）， 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 在这种背景下，BHI培养未来的研究领导者在该领域的翻译技能和跨学科的专业知识 跨翻译生物信息学、临床研究信息学、临床信息学、消费者信息学 卫生信息学和人口/公共卫生信息学。UW培训计划包括：a）核心 跨学科领域的基础概念课程（借鉴计算机科学， 信息科学、统计学和数据科学），B）核心领域课程（生物学、临床、消费者和 公共卫生），c）方法课程（研究方法，教学和交流），以及d）个性化 在基础和领域领域的深入选修课。在数据科学领域，我们提供常规和高级 数据科学选项和不断增长的多学科校园范围内的医疗数据科学研究计划。到 保持其在招聘和培养学生和教师的成功，UW BHI建议继续 NLM研究培训计划，寻求资金支持下一个资助周期的15名学员。正如我们 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， 继续发展教师队伍，利用BHI在精准医学，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.