Northern New England Clinical and Translational Research Network: Enhancing NNE-CTR data science capacity to support clinical informatics applications in cancer control research.

新英格兰北部临床和转化研究网络：增强 NNE-CTR 数据科学能力，支持癌症控制研究中的临床信息学应用。

• 批准号: 10871980
• 负责人: CLIFFORD JAMES ROSEN
• 金额: $ 40.12万
• 依托单位: MAINEHEALTH
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-03 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10871980
• 关键词: Address; Adherence; Administrative Supplement; American; Artificial Intelligence; Attention; Award; Benign; Biometry; Breast; Breast Cancer Detection; Breast Cancer Risk Factor; Breast Cancer Surveillance Consortium; Breast Magnetic Resonance Imaging; Cancer Center; Cancer Control; Cancer Control Research; Cancer Research Project; Clinical Data; Clinical Informatics; Clinical Research; Communities; Community Health; Community Hospitals; Community Practice; Complement; Complex; Data; Data Collection; Data Pooling; Data Science; Data Security; Data Sources; Database Management Systems; Databases; Detection; Development; Diagnosis; EHR research; Electronic Health Record; Epidemiology; Equity; Faculty; Funding; Goals; Health; Immigrant; Information Systems; Institution; Link; Machine Learning; Maine; Malignant Neoplasms; Mammary Ultrasonography; Mammography; Mission; Modality; Modernization; New England; New Hampshire; Performance; Population; Prevention; Preventive; Procedures; Productivity; Publications; Radiology Specialty; Registries; Research; Research Design; Research Infrastructure; Research Personnel; Research Project Grants; Resources; Risk; Rural; Rural Community; Screening for cancer; Secure; System; Technology; Testing; Training; Translational Research; Universities; Vermont; Woman; artificial intelligence algorithm; breast imaging; cancer care; clinical practice; complex data; data access; data infrastructure; data integration; data management; data registry; data resource; data science infrastructure; data sharing; data warehouse; health equity; high risk; human capital; improved; infrastructure development; interest; malignant breast neoplasm; member; neoplasm registry; novel; post-pandemic; programs; recruit; research and development; response; risk prediction; risk prediction model; rural setting; rural underserved; sociodemographics; support network; survivorship

PROJECT SUMMARY/ABSTRACT This application is submitted in response to the Notice of Special Interest (NOSI) identified as NOT-OD-23-123 (“Administrative Supplements to Enhance Institutional Data Science Capacity”). The Northern New England Clinical and Translational Research (NNE-CTR) Network (U54GM115516) at the University of Vermont (UVM), MaineHealth, and the University of Southern Maine is an IDeA Clinical & Translational Research Network supporting improvements in health for northern New England inhabitants, with a particular focus on underserved rural and immigrant populations. We propose to expand the data science capacity of the NNE- CTR’s Biostatistics, Epidemiology, and Research Design Core to support complex investigator-led cancer database research projects, including the Vermont Breast Cancer Surveillance System (VBCSS). The VBCSS is a UVM-based research program that addresses a wide spectrum of questions in rural breast cancer control, including prevention, detection, survivorship, and health equity, through a breast imaging data registry that is a partnership between UVM, academic and community-based radiology practices, and the Vermont Department of Health. Specific objectives of this supplement are 1) To increase institutional expertise in clinical informatics, data management, and data sharing in the NNE-CTR at the University of Vermont through new staff recruitment and training of existing staff; 2) To modernize and enhance the existing VBCSS database application to collect and integrate data from radiology practices at rural community hospitals, link to the Vermont statewide all-payers claim database, and facilitate continued participation in the national Breast Cancer Surveillance Consortium; 3) To facilitate collaborative research leveraging investigator-led cancer data registries and NNE-CTR data resources at UVM and MaineHealth. Completion of these Aims will significantly expand the data science capacity of the University of Vermont and expand the NNE-CTR’s ability to provide clinical informatics, data management, and data sharing support to investigator-led cancer database research projects. With these additional NNE-CTR resources, the VBCSS will be strengthened to engage NNE-CTR investigators and address a wide array of topics in breast cancer, including the post-pandemic deficit in cancer screening adherence in rural settings, implementation of artificial intelligence algorithms and machine learning for cancer screening test interpretation and risk prediction in community-based clinical practice, and expansion of preventive cancer screening among New American populations. Additional cancer data resources will be developed, in coordination with the Vermont Department of Health and the UVM Cancer Center, that facilitate the ability of NNE-CTR investigators to address topics in a variety of cancers, with particular attention to access to cancer care in rural and immigrant populations. In total, this administrative supplement will develop human capital in data sciences at UVM, expand the NNE-CTR’s data science infrastructure, and build new data science partnerships within the NNE-CTR and with national consortium partners.

项目摘要/摘要 该申请是根据被确定为非OD-23-123的特殊利益通知（NOSI）提交的 （“提高机构数据科学能力的行政补充剂”）。新英格兰北部 佛蒙特大学（UVM）的临床和转化研究（NNE-CTR）网络（U54GM115516）， MaineHealth，南部缅因大学是一个构想临床与转化研究网络 支持北部新英格兰居民的健康改善，特别关注 服务不足的农村和移民人口。我们建议扩大NNE的数据科学能力 CTR的生物统计学，流行病学和研究设计核心，以支持复杂研究者主导的癌症 数据库研究项目，包括佛蒙特州乳腺癌监测系统（VBCSS）。 VBCSS 是一项基于UVM的研究计划，该计划涉及农村乳腺癌控制中的各种问题， 包括预防，检测，生存和健康平等，通过乳房成像数据注册中心 UVM，学术和基于社区的放射学实践与佛蒙特州部门之间的伙伴关系 健康。该补充的具体目标是1）提高临床信息方面的机构专业知识， 数据管理和通过新员工在佛蒙特大学的NNE-CTR中共享数据共享 现有员工的招聘和培训； 2）现代化和增强现有的VBCSS数据库 申请收集和整合来自粗糙社区医院放射学实践的数据，链接到 佛蒙特州全州全付款人声称数据库，并促进了继续参与国家乳房 癌症监测财团； 3）促进合作研究利用研究者主导的癌症数据 UVM和MaineHealth的注册表和NNE-CTR数据资源。这些目标的完成将大大 扩大佛蒙特大学的数据科学能力，并扩大NNE-CTR提供的能力 临床信息，数据管理和数据共享支持研究人员主导的癌症数据库研究 项目。有了这些额外的NNE-CTR资源，VBCS将得到加强以吸引Nne-CTR 调查人员并谈到乳腺癌的各种主题，包括癌症后的大流行防御 在粗糙设置，人工智能算法的实施和机器学习中筛选依从性 用于癌症筛查测试解释和基于社区临床实践的风险预测和扩展 在新美国人群中进行预防性癌症筛查。其他癌症数据资源将是 与佛蒙特州卫生部和UVM癌症中心协调开发，这有助于 NNE-CTR研究人员在各种癌症中解决主题的能力，特别关注 在粗糙和移民人群中获得癌症护理。总共将开发这种行政补充 UVM数据科学的人力资本，扩展NNE-CTR的数据科学基础架构，并建立新的 数据科学合作伙伴关系在NNE-CTR内以及与国家财团合作伙伴。