Johns Hopkins Training Program in Biomedical Informatics and Data Science

❖ 项目概要 约翰·霍普金斯大学最近重新建立了多学科、多学校的教育 生物医学信息学和数据科学（BIDS）计划。该计划由中央协调和 由该司新成立的生物医学信息学和数据科学科（BIDS）管理 普通内科。教师来自约翰·霍普金斯大学医学院、彭博社 公共卫生学院、怀廷工程学院、护理学院和克里格学院 艺术和科学。该计划围绕四个方向构建：转化生物信息学、临床 研究信息学、医疗保健/临床信息学和公共卫生信息学。该程序建立在 韦尔奇医学图书馆和卫生部门培育了数十年的信息学培训传统 科学信息学，现已合并到新的 BIDS 部分。新组织已建立严密的 与大学和医学院教育领导、支持系统的整合 基础设施。我们修改和扩展了我们的核心课程，以平衡传统的信息学主题 与当前的数据科学原理和方法。为每一个项目都制定了深入的专业课程 该计划的学术轨迹。由于我们新的正式管理结构，学生现在 在大学任何地方免费选修课程，学费互惠。学生还可以访问 信息学、计算机科学、生物医学工程和数据领域的深入研究项目 科学贯穿整个大学，以不断增长的 BIDS 资助和合作项目为基础 BIDS 部分中的协议，例如国家新冠肺炎群组协作 (N3C)。因此，BIDS 学生 拥有前所未有的深入应用实践的机会，以丰富和加强他们的教育，提供 为论文奠定基础，更重要的是获得作为合作者、贡献者和作者的经验。的 大学和医学院提供最先进的临床和基础科学数据分析 环境，包括我们的安全分析框架环境 (SAFE) 虚拟机、Precision 医学分析平台 (PMAP)、州 HIE 基于人群的 EHR 分析平台（在 PMAP 上），以及 精心策划的 OMOP、PCORNet、ACT 和 TriNetX 格式的临床数据仓库。生物医学培训 道德规范和负责任的研究行为深深植根于涉及患者数据的所有实践中。 学生有机会与信誉良好、资金充足的研究导师一起工作，并获得 来自致力于教育和培训的教师的指导。加强转化 约翰斯的科学、多学科团队以及企业级基础设施和计算机支持 霍普金斯大学为学生提供见证和参与新形态的机会 协作科学走向未来。

 PROJECT SUMMARY Johns Hopkins University has recently re-established a multi-disciplinary, multi-school education program in Biomedical Informatics and Data Science (BIDS). The program is centrally coordinated and managed by the newly established Section of Biomedical Informatics and Data Science (BIDS) in the Division of General Internal Medicine. Faculty are drawn from the Johns Hopkins School of Medicine, the Bloomberg School of Public Health, the Whiting School of Engineering, the School of Nursing, and the Krieger School of Arts and Sciences. The program is structured around four tracks: Translational Bioinformatics, Clinical Research Informatics, Healthcare/Clinical Informatics, and Public Health Informatics. The program is built on the decades of informatics training tradition fostered by the Welch Medical Library and the Division of Health Sciences Informatics, now consolidated in the new BIDS Section. The new organization has established tight integration with the University and School of Medicine Education leadership, support systems, and infrastructure. We have revamped and extended our core curriculum to balance traditional informatics topics with current data science principles and methods. Specialized curricula have been developed in depth for each academic track of the program. Because of our newly formalized administrative structure, students are now free to take elective courses anywhere in the University with tuition reciprocity. Students also have access to the deep bench of research programs across informatics, computer science, biomedical engineering, and data science throughout the university, anchored by an ever-growing portfolio of BIDS grants and cooperative agreements in the BIDS Section such as the National COVID Cohort Collaborative (N3C). Thus, BIDS students have unprecedented opportunities for applied practica at depth to enrich and reinforce their education, provide a basis for theses, and more importantly achieve experience as collaborators, contributors, and authors. The University and School of Medicine provide state-of-the-art clinical and basic science data-analytics environments, including our Secure Analytic Framework Environment (SAFE) virtual machines, the Precision Medicine Analytics Platform (PMAP), the state HIE population-based EHR analyses platform (on PMAP), and well-curated clinical data warehouses in OMOP, PCORNet, ACT, and TriNetX formats. Training in biomedical ethics and the responsible conduct of research is deeply embedded in all practica involving patient data. Students have opportunity to work with well-established, well-funded research mentors, and to receive instruction from faculty with a deep commitment to education and training. The strengthening of translational science, multidisciplinary teams, and enterprise-class infrastructure and computer support across Johns Hopkins University provides students with opportunities to witness and participate in the new shape of collaborative science into the future.