Buffalo Research Innovation in Genomic and Healthcare Technology Education (BRIGHT Education)

布法罗基因组和医疗技术教育研究创新（BRIGHT Education）

基本信息

批准号：
10617368
负责人：
PETER L. ELKIN
金额：
$ 50.98万
依托单位：
STATE UNIVERSITY OF NEW YORK AT BUFFALO
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-01 至 2027-06-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10617368
关键词：
5 year old Area Award Big Data Bioinformatics Clinical Clinical Informatics Clinical Research Complex Depressed mood Discipline Doctor of Philosophy Education Educational Curriculum Educational Technology Educational workshop Ensure Ethics Evaluation Exclusion Faculty Fellowship Frustration Funding Future Genomics Goals Grant Health Health Technology Healthcare Human Informatics Institutional Review Boards Judgment Knowledge Laboratories Link Location Manuscripts Medical Medical Informatics Mentors Paper Patient Care Peer Review Policies Positioning Attribute Postdoctoral Fellow Public Health Publishing Research Research Personnel Research Training Students Technology Training Training Programs United States National Institutes of Health United States National Library of Medicine Universities biomedical informatics clinical care doctoral student faculty mentor flexibility improved innovation insight patient safety programs recruit skills student mentoring usability

项目摘要

The University at Buffalo’ (UB) Department of Biomedical Informatics, with funding from our first T15 grant, is training 3 PhD students, 8 post docs (MDs and PhDs) and 7 short term trainees in biomedical informatics research. We continue our focus on: 1-health & healthcare/clinical informatics; 2-translational bioinformatics; and 3-clinical research informatics, with inclusion now on informatics of: 4-Public Health and 5-Consumer Health. The curriculum builds on our growing MS and PhD programs with our existing faculty and outside mentors in addition to world-renowned experts who provide workshops, etc. Most medical informatics research focuses on the specifics of research in implementation, technology, clinical care, etc. We do that, of course, but we also integrate the synergistic research skills and orientations needed for biomedical informatics to move our discipline beyond its current entanglements. In contrast, our department (now 7.5 years old) fits perfectly with the ethos and focus of the NLM’s research training goals. We also realize that our location in a depressed area offers us the obligation, opportunity, and privilege to recruit and train scholars so often excluded from this field. They stay in familiar settings, and bring their insights to others. Also, our affiliated scholars, researchers, practitioners, and linked institutes joins with us to train and inspire our students. We enable students to use research to understand and improve the field--analyzing the complex interactions of workflow, evaluation, CDS, usability, ethics, big data, clinical research, bioinformatics and patient care–researching biomedical informatics to help move healthcare IT to be a fluent, informed, and meaningful contribution to clinical efficiency and medical knowledge. Our PhD program is comprised of core courses, required additional courses in 1 of the 5 concentrations (“selectives”), and at least 17 credits of electives. In addition to didactic and lab courses, all students are involved in extensive research, practicums, workshops, presentations, mock IRBs and ethics reviews, EHR laboratories, patient safety and quality rounds, and human factors training. Because of students’ varying expertise, we build in flexibility to reflect pedagogic requirements while ensuring mastery of necessary knowledge, skills, judgment in our mentoring of students. Biomedical informatics continues to frustrate, despite (or because of) its extraordinary promises. Only committed and skilled researchers can help us close this gap; enabling our field to achieve what is so needed. We are so excited to continue and build on our training program. We seek to create the researcher-leaders informatics needs, deserves and has wanted. Biomedical informatics can fulfil its promise if wise and well-trained researchers guide our unbiased evaluations, policies, applications, and research agendas. The UB T15 program’s trainees have published over 118 peer reviewed manuscripts, been awarded 4 NIH grants, and 10 are now in postdoctoral fellowships or faculty positions. Overall the 29 faculty mentors have published 351 papers and been awarded, as PI or MPI, 70 grants. Our UB program is fiercely committed to training the future researchers our field deserves.

布法罗大学 (UB) 生物医学信息学系由我们的第一笔 T15 拨款资助，培养生物医学信息学博士生3名、博士后8名（MD和PhD）和短期培训生7名我们继续关注：1-健康与保健/临床信息学；2-翻译生物信息学；和 3-临床研究信息学，现在包含以下信息学：4-公共健康和 5-消费者健康。该课程以我们现有的教职员工和外部人员不断增长的硕士和博士项目为基础。导师除了提供研讨会等的世界知名专家之外，大多数医学信息学研究重点关注实施、技术、临床护理等方面的研究细节。我们当然这样做，但是我们还整合了生物医学信息学所需的协同研究技能和方向，以推动我们的研究相比之下，我们的部门（现已成立 7.5 年）非常适合。我们还意识到我们位于经济萧条地区。为我们提供了招募和培训经常被排除在该领域之外的学者的义务、机会和特权。他们留在熟悉的环境中，并将他们的见解带给其他人，我们的附属学者、研究人员、护理人员和相关机构与我们一起培训和激励我们的学生，我们使学生能够使用。研究以理解和改进该领域——分析工作流程、评估、 CDS、可用性、伦理、大数据、临床研究、生物信息学和患者护理——研究生物医学信息学帮助医疗保健 IT 为临床做出流畅、知情且有意义的贡献我们的博士课程由核心课程和必修附加课程组成。 5 个专业中的 1 个（“选修课”），以及除教学和实验之外至少 17 学分的选修课。课程中，所有学生都参与广泛的研究、实习、研讨会、演讲、模拟 IRB 伦理审查、电子病历实验室、患者安全和质量查房以及人为因素培训。针对学生不同的专业知识，我们建立灵活性来反映教学要求，同时确保掌握我们在指导学生的生物医学信息学中继续提供必要的知识、技能和判断力。尽管（或由于）其非凡的承诺，但只有忠诚且熟练的研究人员才能提供帮助。我们缩小了这一差距；使我们的领域能够实现所需要的目标，我们很高兴能够继续并继续发展。我们的培训计划旨在培养信息学领域的研究领导者的需求、应得的和想要的。如果明智且训练有素的研究人员能够公正地指导我们，生物医学信息学就能实现其承诺 UB T15 项目的学员已发表了超过 10 篇评估、政策、应用和研究议程。 118 篇同行评审的手稿，获得 4 项 NIH 资助，其中 10 篇目前正在获得博士后奖学金或总共 29 名教师导师发表了 351 篇论文，并被授予 PI 或 MPI、 70 项资助。我们的布法罗大学项目致力于培养我们领域应有的未来研究人员。

项目成果

期刊论文数量（8）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Eliminating the Surprise Question Leaves Home Care Providers With Few Options for Identifying Mortality Risk.

消除意外问题使得家庭护理提供者在识别死亡风险方面几乎没有选择。

DOI：
发表时间：
2020-07
期刊：
影响因子：
0
作者：
Sullivan, Suzanne S;Casucci, Sabrina;Li, Chin
通讯作者：
Li, Chin

Sustainable Health Informatics: Health Informaticians as Alchemists.

可持续健康信息学：健康信息学家作为炼金术士。

DOI：
发表时间：
2019-08-09
期刊：
影响因子：
0
作者：
Nøhr, Christian;Kuziemsky, Craig E;Elkin, Peter L;Marcilly, Romaric;Pelayo, Sylvia
通讯作者：
Pelayo, Sylvia

Improving patient safety reporting with the common formats: Common data representation for Patient Safety Organizations.

使用通用格式改进患者安全报告：患者安全组织的通用数据表示。

DOI：
发表时间：
2016
期刊：
影响因子：
4.5
作者：
Elkin, Peter L;Johnson, Henry C;Callahan, Michael R;Classen, David C
通讯作者：
Classen, David C

Machine Learning Methods to Predict Lung Cancer Survival Using the Veterans Affairs Research Precision Oncology Data Commons.

使用退伍军人事务研究精准肿瘤学数据共享来预测肺癌生存率的机器学习方法。

DOI：
发表时间：
2019-08-21
期刊：
影响因子：
0
作者：
Do, Nhan V;Ramos, Jaime C;Fillmore, Nathanael R;Grossman, Robert L;Fitzsimons, Michael;Elbers, Danne C;Meng, Frank;Johnson, Brett R;Ajjarapu, Samuel;DeDomenico, Corri L;Pierce;Hall, Robert B;Do, Andrew F;Gaynor, Kelly;Elkin
通讯作者：
Elkin

A community effort for COVID-19 Ontology Harmonization

社区为协调 COVID-19 本体所做的努力

DOI：
发表时间：
2022-01-28
期刊：
CEUR workshop proceedings
影响因子：
0
作者：
A. Y. Lin;Yuki Yamagata;William D. Duncan;Leigh Carmody;Tatsuya Kushida;H. Masuya;J. Beverley;Biswanath Dutta;Michael DeBellis;Zoe May Pendlington;P. Roncaglia;Y. He
通讯作者：
Y. He