Johns Hopkins Training Program in Biomedical Informatics and Data Science
约翰霍普金斯大学生物医学信息学和数据科学培训计划
基本信息
- 批准号:10406045
- 负责人:
- 金额:$ 32.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-07-01 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:ArtsBasic ScienceBioethicsBioinformaticsBiomedical EngineeringClinical InformaticsClinical ResearchClinical SciencesComputersDataData AnalyticsData ScienceEducationEducational CurriculumEngineeringEnvironmentEquilibriumFacultyFosteringFundingFutureGrantHealth SciencesHealthcareInformaticsInfrastructureInstructionInternal MedicineLeadershipMedical LibrariesMentorsMethodsPatientsPublic Health InformaticsPublic Health SchoolsResearchSchool NursingSchoolsScienceSecureShapesStructureStudentsSupport SystemTrainingTraining ProgramsTraining and EducationTranslational ResearchU-Series Cooperative AgreementsUniversitiesWorkbiomedical informaticsclinical data warehousecohortcomputer sciencecoronavirus diseaseexperienceinformatics trainingmedical schoolsmultidisciplinarypopulation basedprecision medicineprogramsresponsible research conductvirtual environmentvirtual machine
项目摘要
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.
项目摘要
约翰·霍普金斯大学(Johns Hopkins University)最近重新建立了多学科的多学科教育
生物医学信息学和数据科学计划(BIDS)。该计划是集中协调的,
由新成立的生物医学信息学和数据科学(BID)的部分管理
一般内科医学。教职员工来自彭博社约翰·霍普金斯医学院
公共卫生学院,惠廷工程学院,护理学院和克里格学院
艺术与科学。该程序围绕四个曲目结构: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培养的数十年信息培训传统
科学信息学,现在在新的投标部分中合并。新组织已经建立了紧张
与大学和医学教育学院的领导,支持系统和
基础设施。我们已经修改并扩展了核心课程,以平衡传统信息主题
使用当前的数据科学原理和方法。专门的课程已经为每个课程开发
该计划的学术轨道。由于我们新正式的行政结构,学生现在是
自由参加学费互惠的大学任何地方的选修课程。学生也可以访问
跨信息,计算机科学,生物医学工程和数据的研究计划的深层台
整个大学的科学,由不断增长
在投标部分中的协议,例如国家共同队列合作(N3C)。那,竞标学生
有空前的应用实践的机会,以丰富和加强他们的教育,提供
作为合作者,贡献者和作者的经验,更重要的是实现这些论点的基础。
大学和医学院提供最先进的临床和基础科学数据分析学
环境,包括我们安全的分析框架环境(安全)虚拟机,精度
医学分析平台(PMAP),基于HIE人口的EHR分析平台(在PMAP上)和
OMOP,PCORNET,ACT和TRINETX格式的临床数据仓库进行了良好的临床数据仓库。生物医学培训
伦理和负责任的研究的行为深深地嵌入了所有实践中,涉及患者数据。
学生有机会与成熟,资金充足的研究导师合作,并接受
教师的指导,对教育和培训做出了深远的承诺。加强翻译
约翰群岛的科学,多学科团队以及企业级基础架构和计算机支持
霍普金斯大学为学生提供了见证和参与新形状的机会
对未来的协作科学。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('CHRISTOPHER G CHUTE', 18)}}的其他基金
Iron-CLAD: securely advancing AoU participant characterization with provenplatforms and collaborations
Iron-CLAD:通过经过验证的平台和协作安全地推进 AoU 参与者特征描述
- 批准号:
10829135 - 财政年份:2023
- 资助金额:
$ 32.58万 - 项目类别:
Johns Hopkins Training Program in Biomedical Informatics and Data Science
约翰霍普金斯大学生物医学信息学和数据科学培训计划
- 批准号:
10620202 - 财政年份:2022
- 资助金额:
$ 32.58万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10395413 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10610911 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
A National Center for Digital Health Informatics Innovation
国家数字健康信息学创新中心
- 批准号:
10437464 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
CD2H - National COVID Cohort Collaborative (N3C)
CD2H - 国家新冠肺炎队列协作 (N3C)
- 批准号:
10320152 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
A National Center for Digital Health Informatics Innovation
国家数字健康信息学创新中心
- 批准号:
10464821 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
Computational LOINC to Support Biomedical Research at Scale
计算 LOINC 支持大规模生物医学研究
- 批准号:
10093337 - 财政年份:2021
- 资助金额:
$ 32.58万 - 项目类别:
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Johns Hopkins Training Program in Biomedical Informatics and Data Science
约翰霍普金斯大学生物医学信息学和数据科学培训计划
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10620202 - 财政年份:2022
- 资助金额:
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7214424 - 财政年份:2007
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7560536 - 财政年份:2007
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