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.

项目总结/摘要 本申请是根据NOT-OD-23-123号特别关注通知（NOSI）提交的 （“加强机构数据科学能力的行政补充”）。北方新英格兰 佛蒙特大学（UVM）的临床和转化研究（NNE-CTR）网络（U 54 GM 115516）， MaineHealth和南缅因州大学是IDEA临床和转化研究网络 支持改善北方新英格兰居民的健康状况，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 是一个以UVM为基础的研究项目，旨在解决农村乳腺癌控制中的广泛问题， 包括预防、检测、生存率和健康公平性，通过乳腺成像数据登记， UVM、学术和社区放射学实践与佛蒙特州部门之间的伙伴关系 of Health.本补充的具体目标是：1）增加临床信息学方面的机构专业知识， 数据管理，并通过新的工作人员在佛蒙特大学的NNE-CTR数据共享 征聘和培训现有工作人员; 2）更新和加强现有的VBCSS数据库 应用程序收集和整合农村社区医院放射学实践的数据， 佛蒙特州全州所有付款人索赔数据库，并促进继续参与国家乳腺癌 癌症监测联盟; 3）促进利用癌症监测者领导的癌症数据的合作研究 UVM和MaineHealth的登记和NNE-CTR数据资源。这些目标的实现将大大 扩大佛蒙特大学的数据科学能力，并扩大NNE-CTR的能力，提供 临床信息学、数据管理和数据共享支持，以促进癌症数据库研究 项目有了这些额外的NNE-CTR资源，将加强VBCSS， 研究人员和解决广泛的主题，乳腺癌，包括后大流行赤字的癌症 在农村环境中筛查依从性，实施人工智能算法和机器学习 在社区临床实践中进行癌症筛查测试解释和风险预测， 在新美国人中进行预防性癌症筛查。其他癌症数据资源将 与佛蒙特州卫生部和UVM癌症中心协调， NNE-CTR研究人员解决各种癌症主题的能力，特别注意 在农村和移民人口中获得癌症护理。总的来说，这一行政补充将发展 在UVM的数据科学人力资本，扩大NNE-CTR的数据科学基础设施，并建立新的 NNE-CTR内部的数据科学合作伙伴关系以及与国家联盟合作伙伴的关系。