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）。该方案是集中协调的， 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医学院，彭博 公共卫生学院、怀汀工程学院、护理学院和克里格医学院 艺术和科学。该计划是围绕四个轨道结构：翻译生物信息学，临床 研究信息学，医疗保健/临床信息学和公共卫生信息学。该计划是建立在 韦尔奇医学图书馆和卫生部培养的数十年信息学培训传统 科学信息学，现在合并在新的BIDS部分。新组织建立了严密的 与大学和医学院的教育领导，支持系统， 基础设施演进我们已经修改和扩展了我们的核心课程，以平衡传统的信息学主题 数据科学的原则和方法。为每个国家深入制定了专门课程， 该计划的学术跟踪。由于我们新正式的行政结构，学生现在 可以在大学的任何地方免费选修课程，学费互惠。学生也有机会获得 跨信息学、计算机科学、生物医学工程和数据的深度研究项目 整个大学的科学，由不断增长的BIDS赠款和合作组合锚定 BIDS部分的协议，如国家COVID队列协作（N3 C）。因此，BIDS学生 有前所未有的机会，在深度应用实践，以丰富和加强他们的教育，提供 论文的基础，更重要的是获得合作者，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），国家基于HIE人群的EHR分析平台（PMAP），以及 OMOP、PCORNet、ACT和TriNetX格式的精心策划的临床数据仓库。生物医学培训 伦理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合作，并获得 教师的指导与教育和培训的深刻承诺。加强翻译 科学，多学科团队，企业级基础设施和计算机支持 霍普金斯大学为学生提供了见证和参与新形态的机会， 未来的合作科学。

 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.