Pittsburgh Biomedical Informatics Training Program

匹兹堡生物医学信息学培训计划

• 批准号: 10615588
• 负责人: HARRY S HOCHHEISER
• 金额: $ 84.65万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-07-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10615588
• 关键词: Academia; Administrator; Admission activity; Appointment; Award; Bioinformatics; Clinical Informatics; Clinical Research; Data Science; Doctor of Philosophy; Educational Curriculum; Environment; Equipment; Evaluation; Evolution; Expert Systems; Faculty; Financial Support; Funding; Goals; Government; Healthcare; Industry; Informatics; Institution; Internships; Journals; Leadership; Medical; Medical center; Mentors; Minority-Serving Institution; Positioning Attribute; Postdoctoral Fellow; Process; Productivity; Public Health Informatics; Publishing; Recording of previous events; Research; Research Personnel; Research Training; Schools; Scientist; Secure; Training; Training Programs; United States National Institutes of Health; Universities; biomedical informatics; doctoral student; experience; imaging informatics; medical schools; member; outreach; programs; recruit

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（BMETP）提供了 在应用计算方面的高级培训以挑战生物医学问题。在 除了我们悠久的历史外，我们的计划在我们计划的持续发展中值得注意，一个 高度协作的研究环境和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 皮特医学院的生物医学信息学（DBMI）。 DBMI提供， 培训计划管理，教职员工的空间，设备和财政支持 学员。 BMETP的39名成员的核心教师，包括19位主要的教职员工 DBMI的任命。 BMITP由计划主任兼副主任领导 经验丰富的计划管理员和教职联合主任的领导小组的帮助。 匹兹堡生物医学信息学培训计划提供研究培训 翻译生物信息学，医疗保健/临床信息，成像信息，临床信息 研究信息和公共卫生信息。学员在任何一个中都寻求MS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跟踪 计划，位于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。博士后学员 进行高级研究，目的是制定研究计划和资金 将支持其向独立过渡的申请。两者都有各种各样的课程 匹兹堡大学和卡内基 - 梅隆大学都可以向所有学员使用。 在过去的五年中，我们修改了课程，录取过程和 我们的初步和全面考试。我们还扩展了数据科学产品 并增加了我们与少数派服务机构的外展工作。我们接下来的五个计划 多年包括进一步加强我们的评估工作以及我们招募潜水员的努力 学员，以增强心理，以扩大可用的实习机会的范围 学员，并使用我们精简的评估来帮助学员有效地达到里程碑 并及时完成学位。 我们在培训成功的生物医学信息的研究人员方面有很强的记录， 其中许多人继续成为该领域的领导人。我们计划中的学员发布 高影响力期刊上的研究文章，成功地获得了国家奖项 争夺NIH资金，并确保学术界，工业和政府的研究职位。

项目成果

Barriers to using eHealth data for clinical performance feedback in Malawi: A case study.

• DOI: 10.1016/j.ijmedinf.2015.07.003
• 发表时间: 2015-10
• 期刊: International journal of medical informatics
• 影响因子: 4.9
• 作者: Landis-Lewis Z;Manjomo R;Gadabu OJ;Kam M;Simwaka BN;Zickmund SL;Chimbwandira F;Douglas GP;Jacobson RS
• 通讯作者: Jacobson RS

Is the Internet useful for clinical practice?

• DOI: 10.14219/jada.archive.1999.0066
• 发表时间: 1999-10-01
• 期刊: JOURNAL OF THE AMERICAN DENTAL ASSOCIATION
• 影响因子: 3.9
• 作者: Schleyer, TKL;Forrest, JL;Dovgy, NA
• 通讯作者: Dovgy, NA

Increased Cerebello-Prefrontal Connectivity Predicts Poor Executive Function in Congenital Heart Disease.

• DOI: 10.3390/jcm12165264
• 发表时间: 2023-08-12
• 期刊: Journal of clinical medicine
• 影响因子: 3.9

Structural network topology correlates of microstructural brain dysmaturation in term infants with congenital heart disease.

• DOI: 10.1002/hbm.24308
• 发表时间: 2018-11
• 期刊: Human brain mapping
• 影响因子: 4.8
• 作者: Schmithorst VJ;Votava-Smith JK;Tran N;Kim R;Lee V;Ceschin R;Lai H;Johnson JA;De Toledo JS;Blüml S;Paquette L;Panigrahy A
• 通讯作者: Panigrahy A

A new method for estimating the probability of causal relationships from observational data: Application to the study of the short-term effects of air pollution on cardiovascular and respiratory disease.

一种根据观测数据估计因果关系概率的新方法：应用于研究空气污染对心血管和呼吸系统疾病的短期影响。

• DOI: 10.1016/j.artmed.2023.102546
• 发表时间: 2023
• 期刊: Artificial intelligence in medicine
• 影响因子: 7.5
• 作者: Andrews,Bryan;Wongchokprasitti,Chirayu;Visweswaran,Shyam;Lakhani,ChiragM;Patel,ChiragJ;Cooper,GregoryF
• 通讯作者: Cooper,GregoryF