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

项目摘要/摘要 本申请是针对被确认为非-OD-23-123的特殊利益通知(NOSI)而提交的 (“加强机构数据科学能力的行政补编”)。新英格兰北部 佛蒙特大学临床与转化研究(NNE-CTR)网络(U54GM115516)， MaineHealth，南缅因州大学是一个IDEA临床和翻译研究网络 支持改善新英格兰北部居民的健康，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支持复杂的研究人员领导的癌症 数据库研究项目，包括佛蒙特州乳腺癌监测系统(VBCS)。VBCS 是一个基于UVM的研究计划，解决了农村乳腺癌控制中的广泛问题， 包括预防、检测、生存和健康公平，通过乳房成像数据注册 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 健康之家。本附录的具体目标是1)增加临床信息学方面的机构专业知识， 佛蒙特大学NNE-CTR通过新工作人员进行数据管理和数据共享 征聘和培训现有工作人员；2)更新和加强现有的VBCS数据库 从乡村社区医院的放射学实践收集和整合数据的应用程序，链接到 佛蒙特州范围内的所有支付者索赔数据库，并促进继续参与国家乳房 癌症监测联盟；3)利用调查员主导的癌症数据促进合作研究 UVM和MaineHealth的注册表和NNE-CTR数据资源。这些目标的实现将显著地 扩大佛蒙特州大学的数据科学能力，扩大NNE-CTR提供 为研究者主导的癌症数据库研究提供临床信息学、数据管理和数据共享支持 项目。有了这些额外的NNE-CTR资源，VBCS将得到加强，以吸引NNE-CTR 调查人员并处理广泛的乳腺癌主题，包括大流行后的癌症缺陷 在农村环境中筛选遵守情况，实施人工智能算法和机器学习 用于社区临床实践中的癌症筛查试验解释和风险预测，以及扩展 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密歇根州立大学癌症中心协调开发，以促进 NNE-CTR研究人员处理各种癌症主题的能力，并特别关注 在农村和移民人口中获得癌症护理的机会。总体而言，这一行政副刊将发展 UVM数据科学方面的人力资本，扩展NNE-CTR的数据科学基础设施，并建立新的 NNE-CTR内的数据科学伙伴关系以及与国家联盟合作伙伴的伙伴关系。

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.