Pittsburgh Biomedical Informatics Training Program

匹兹堡生物医学信息学培训计划

基本信息

项目摘要

Since 1998, the Pittsburgh Biomedical Informatics Training Program (BMITP) has provided advanced training in the application of computing to challenging problems in biomedicine. In addition to our long history, our program is notable for continuous evolution of our programs, a highly collaborative research environment, and strong institutional support from the University of Pittsburgh and the University of Pittsburgh Medical Center (UPMC). BMITP is housed in the Department of Biomedical Informatics (DBMI) in Pitt’s School of Medicine. DBMI provides, space, equipment, and financial support for training program administration, faculty, and trainees. BMITP’s core faculty of 39 members, including the 19 faculty members with primary appointments in DBMI. BMITP is led by the Program Director and Associate Director, with the help of an experienced program administrator and a leadership group of faculty co-directors. The Pittsburgh Biomedical Informatics Training Program offers research training in translational bioinformatics, health care/clinical informatics, imaging informatics, clinical research informatics, and public health informatics. Trainees seek MS or PhD degrees in either Biomedical Informatics or through the Biomedical Informatics Track of the Intelligent Systems Program, housed in Pitt’s School of Computing and Information. We also train MD/PhD students through the University of Pittsburgh’s Medical Scientist Training Program. Postdoctoral trainees undertake advanced research, with the goal of developing research programs and funding applications that will support their transition to independence. A broad variety of courses at both the University of Pittsburgh and Carnegie-Mellon University are available to all trainees. During the past five years, we have revised our curriculum, our admissions processes, and our preliminary and comprehensive exams. We have also expanded our data science offerings and increased our outreach efforts with minority serving institutions. Our plans for the next five years include further strengthening of our evaluation efforts and our efforts to recruit diverse trainees, to enhance mentoring, to expand the range of internship opportunities available to trainees, and to use our streamlined evaluations to help trainees productively reach milestones and complete their degrees in a timely manner. We have a strong track record of training successful biomedical informatics researchers, many of whom have gone on to be leaders in the field. Trainees in our programs publish research articles in high-impact journals, win national awards for their research, successfully compete for NIH funding, and secure research positions in academia, industry, and government.
自1998年以来,匹兹堡生物医学信息学培训计划(BMITP)提供了 在生物医学中应用计算机解决挑战性问题的高级培训。在 除了我们悠久的历史,我们的计划是值得注意的是我们的计划, 高度合作的研究环境,以及来自大学的强大机构支持。 匹兹堡和匹兹堡大学医学中心(UPMC)。BMITP位于 皮特医学院生物医学信息学系(DBMI)。DBMI提供, 空间,设备和财政支持的培训计划管理,教师, 实习生BMITP的核心教师39名成员,其中包括19名教师与小学 DBMI中的约会。BMITP由项目总监和副总监领导, 一个经验丰富的程序管理员和教师共同董事的领导小组的帮助。 匹兹堡生物医学信息学培训计划提供以下方面的研究培训 翻译生物信息学、医疗保健/临床信息学、成像信息学、临床 研究信息学和公共卫生信息学。受训人员寻求硕士或博士学位, 生物医学信息学或通过智能系统的生物医学信息学轨道 程序,设在皮特的计算和信息学院。我们还培训MD/PhD学生 通过匹兹堡大学的医学科学家培训计划。博士后研究生 从事先进的研究,以发展研究计划和资金为目标 这些应用程序将支持他们向独立过渡。在两个不同的课程 所有学员都可以参加匹兹堡大学和麦基-梅隆大学的培训。 在过去的五年里,我们修改了我们的课程,我们的招生程序, 我们的初步和综合考试。我们还扩展了数据科学产品 并加强了我们与少数民族服务机构的外联工作。我们未来五年的计划 在过去几年中,我们进一步加强了我们的评价工作,并努力征聘各种不同的 培训人员,加强指导,扩大实习机会的范围, 培训生,并使用我们简化的评估,以帮助学员富有成效地达到里程碑 及时完成学业 我们在培养成功的生物医学信息学研究人员方面有着良好的记录, 他们中的许多人已经成为该领域的领导者。在我们的项目中, 在高影响力的期刊上发表研究文章,因其研究而获得国家奖项,成功地 竞争国家卫生研究院的资金,并在学术界,工业界和政府的安全研究职位。

项目成果

期刊论文数量(246)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
The emerging science of very early detection of disease outbreaks.
  • DOI:
    10.1097/00124784-200107060-00006
  • 发表时间:
    2001-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Wagner;F. Tsui;J. Espino;V. Dato;Dean F. Sittig;R. Caruana;L. F. McGinnis;D. Deerfield;Marek J Druzdzel;D. Fridsma
  • 通讯作者:
    M. Wagner;F. Tsui;J. Espino;V. Dato;Dean F. Sittig;R. Caruana;L. F. McGinnis;D. Deerfield;Marek J Druzdzel;D. Fridsma
Revealing common disease mechanisms shared by tumors of different tissues of origin through semantic representation of genomic alterations and topic modeling.
  • DOI:
    10.1186/s12864-017-3494-z
  • 发表时间:
    2017-03-14
  • 期刊:
  • 影响因子:
    4.4
  • 作者:
    Chen V;Paisley J;Lu X
  • 通讯作者:
    Lu X
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.
  • DOI:
    10.1186/s13326-016-0084-y
  • 发表时间:
    2016-07-01
  • 期刊:
  • 影响因子:
    1.9
  • 作者:
    Mowery DL;South BR;Christensen L;Leng J;Peltonen LM;Salanterä S;Suominen H;Martinez D;Velupillai S;Elhadad N;Savova G;Pradhan S;Chapman WW
  • 通讯作者:
    Chapman WW
Three-Year Nursing PhD Model Recommendations from the RWJF Future of Nursing Scholars.
  • DOI:
    10.3928/01484834-20211202-01
  • 发表时间:
    2022-01
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Rosa WE;Hartley K;Hassmiller SB;Frisch SO;Bennett SG;Breen K;Goldberg JI;Koschmann KS;Missel AL;de Campos AP;Pho AT;Rausch J;Schlak AE;Shook A;Tierney MK;Umberfield E;Fairman JA
  • 通讯作者:
    Fairman JA
The Online Bioinformatics Resources Collection at the University of Pittsburgh Health Sciences Library System--a one-stop gateway to online bioinformatics databases and software tools.
匹兹堡大学健康科学图书馆系统的在线生物信息学资源收集 - 一个通往在线生物信息学数据库和软件工具的一站式门户。
  • DOI:
    10.1093/nar/gkl781
  • 发表时间:
    2007-01
  • 期刊:
  • 影响因子:
    14.9
  • 作者:
    Chen, Yi-Bu;Chattopadhyay, Ansuman;Bergen, Phillip;Gadd, Cynthia;Tannery, Nancy
  • 通讯作者:
    Tannery, Nancy
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HARRY S HOCHHEISER其他文献

HARRY S HOCHHEISER的其他文献

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{{ truncateString('HARRY S HOCHHEISER', 18)}}的其他基金

Cancer Deep Phenotyping from Electronic Medical Records
根据电子病历进行癌症深度表型分析
  • 批准号:
    10594128
  • 财政年份:
    2022
  • 资助金额:
    $ 84.65万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10058470
  • 财政年份:
    2020
  • 资助金额:
    $ 84.65万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10268998
  • 财政年份:
    2020
  • 资助金额:
    $ 84.65万
  • 项目类别:
Cancer Deep Phenotype Extraction from Electronic Medical Records
从电子病历中提取癌症深层表型
  • 批准号:
    10472741
  • 财政年份:
    2020
  • 资助金额:
    $ 84.65万
  • 项目类别:
MIDAS Coordination Center
MIDAS协调中心
  • 批准号:
    10457369
  • 财政年份:
    2019
  • 资助金额:
    $ 84.65万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9378111
  • 财政年份:
    2016
  • 资助金额:
    $ 84.65万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    10405725
  • 财政年份:
    1987
  • 资助金额:
    $ 84.65万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9263052
  • 财政年份:
    1987
  • 资助金额:
    $ 84.65万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    9095440
  • 财政年份:
    1987
  • 资助金额:
    $ 84.65万
  • 项目类别:
Pittsburgh Biomedical Informatics Training Program
匹兹堡生物医学信息学培训计划
  • 批准号:
    10208965
  • 财政年份:
    1987
  • 资助金额:
    $ 84.65万
  • 项目类别:

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EAGER:走向去中心化的跨管理员区域管理系统:政策和技术
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利用网络会议系统构建出诊护士管理者患者安全管理技能基础
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制定护理管理人员培训计划,以改善以情商为重点的领导行为
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动态反映管理员意图的自动化网络管理
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新手精神科家访护理人员认为管理员支持对专业成长有用
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