Development of Sustainable Reporting to the National COVID Cohort Collaborative (N3C)

为国家新冠肺炎队列协作组织 (N3C) 制定可持续报告

• 批准号: 10244205
• 负责人: ROBERT A CLARK
• 金额: $ 9.99万
• 依托单位: UNIVERSITY OF TEXAS HLTH SCIENCE CENTER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-22 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10244205
• 关键词: Address; Administrative Supplement; Affect; Area; Award; Biomedical Research; COVID-19; COVID-19 pandemic; Cities; Clinical; Clinical Data; Clinical Research; Clinical Sciences; Clinical Trials; Clinical and Translational Science Awards; Collection; Communities; Complex; County; Data; Data Collection; Data Coordinating Center; Data Reporting; Data Set; Data Sources; Development; Diabetes Mellitus; Doctor of Philosophy; Effectiveness; Electronic Health Record; Ethnic Origin; FAIR principles; Fostering; Frequencies; Funding; Future; Generations; Goals; Grant; Health; Health Insurance; Health Sciences; Health Services Accessibility; Healthcare Systems; Hispanics; Home environment; Individual; Infection; Informatics; Ingestion; Institutes; Institution; Institutional Review Boards; Investments; Knowledge; Learning; Malignant Neoplasms; Master' s Degree; Medical; Medicine; Methods; Military Personnel; Minority; Monitor; Obesity; Pathway interactions; Patients; Phenotype; Population; Population Heterogeneity; Positioning Attribute; Process; Program Development; Reporting; Research; Research Personnel; Research Priority; Resource Sharing; Resources; Rural; Rural Population; Science; Services; South Texas; Specific qualifier value; Students; Sustainable Development; TNFSF15 gene; Texas; Time; Training; Translating; Translational Research; Underrepresented Populations; United States National Institutes of Health; Universities; Veterans; Vision; Work; Workforce Development; biomedical scientist; care delivery; care outcomes; clinical encounter; cohort; coronavirus disease; cost; data access; data acquisition; data exchange; data harmonization; data hub; data ingestion; data sharing; data submission; data warehouse; disparity reduction; diverse data; health disparity; improved; innovation; interest; metropolitan; pandemic disease; practice-based research network; programs; public health emergency; response; service member; success; translational scientist

Overall-Abstract San Antonio, positioned at the gateway to South Texas, is the 7th largest US city and the largest metropolitan area with a minority-majority population. Our 38-county region comprises an impoverished, rural, and largely Hispanic population with disproportionate rates of diabetes, obesity, and cancer, exacerbated by lack of health insurance and poor access to care. The region is home to major US military facilities, including the world’s largest military medical complex. Service members and veterans form populations with special needs. Neither better access to care nor improved care delivery, on their own, can eliminate health disparities. Innovative translational research is required to fill knowledge gaps and establish real-world effectiveness to improve health. In 2006, UT Health Science Center-San Antonio established the Institute for Integration of Medicine & Science (IIMS) as the academic home for our growing translational science initiatives, training the translational science workforce, formalizing key strategic partnerships, and creating a community of scholars within a learning healthcare system. We expanded clinical research programs, dramatically increasing access to clinical trials. We developed 6 Practice-Based Research Networks that focus on diverse ambulatory populations. We created 6 county-wide Translational Advisory Boards that support engagement through priority setting and matching with academic investigators. IIMS pioneered IRB process harmonization, resulting in rapid review times and streamlined pathways to multisite study initiation. We operate a robust pilot grant program, leveraged among our partners, with a remarkable return on investment. Our workforce development programs, with matriculants reflecting our diverse population, have graduated 133 masters degree students, supported 27 successful KL2 Scholars and 16 TL1 Scholars, and established de novo a Translational Science PhD program. Our informatics team has led electronic health record data warehouse development, fostering matches between IIMS investigators and practice-relevant research priorities. IIMS is now poised to deploy our robust portfolio of programs across our growing, leveraged, and innovative network of institutional and community partners. In this proposal, we provide clear strategies to support clinical and translational science across partner organizations, catalyze research team success, and implement programs that produce creative, collaborative, and culturally diverse translational scientists. IIMS seeks exceptionalism in translating scientific discoveries across the T1 to T4 spectrum into improved health care outcomes. Our over-arching Specific Aims are: 1. Accelerate clinical and translational research innovation and team science along the entire T1 to T4 research spectrum by providing an academic home integrated with our strategic partner institutions 2. Expand, diversify, and enhance the workforce of interdisciplinary translational biomedical scientists 3. Implement effective methods to continuously evaluate and optimize services, increase efficiencies, improve processes, endorse common metrics, and reduce costs across all IIMS programs

总体-摘要 圣安东尼奥位于德克萨斯州南部的门户，是美国第七大城市， 最大的大都市区，少数民族占多数人口。我们的38个县包括一个贫困的， 农村，主要是西班牙裔人口，糖尿病，肥胖和癌症的发病率不成比例， 缺乏医疗保险和难以获得医疗服务。该地区是美国主要军事设施的所在地，包括 世界上最大的军事医疗中心服务人员和退伍军人形成有特殊需要的人群。 改善获得保健的机会或改善保健服务本身都不能消除保健方面的差距。创新 需要进行转化研究，以填补知识空白，并建立改善健康的现实效果。 2006年，UT健康科学中心-圣安东尼奥成立了医学与医学整合研究所， 科学（IIMS）作为我们不断增长的转化科学举措的学术家园，培养转化科学家， 科学劳动力，正式确定关键的战略伙伴关系，并在学习中创建学者社区 医疗保健系统。我们扩大了临床研究项目，大大增加了临床试验的可及性。 我们开发了6个基于实践的研究网络，重点关注不同的流动人口。我们创建 6个全州翻译咨询委员会，通过确定优先事项和与 学术研究者IIMS率先统一了IRB流程，从而缩短了审查时间， 简化了多中心研究启动的途径。我们经营着一个强大的试点赠款计划，在我们的 合作伙伴，具有显著的投资回报。我们的劳动力发展计划， 反映了我们多样化的人口，已经毕业了133名硕士学位学生，支持了27名成功的KL 2 学者和16名TL 1学者，并重新建立了翻译科学博士课程。我们的信息学 团队领导了电子健康记录数据仓库的开发，促进了IIMS之间的匹配 研究人员和实践相关的研究优先事项。IIMS现在准备部署我们强大的产品组合， 在我们不断增长的、杠杆化的和创新的机构和社区合作伙伴网络中开展项目。 在本提案中，我们提供了明确的战略，以支持合作伙伴的临床和转化科学。 组织，催化研究团队的成功，并实施产生创造性，协作， 和文化多样性的翻译科学家。IIMS在翻译科学发现时寻求例外论 在T1到T4的范围内，改善医疗保健结果。我们的具体目标是： 1.沿着整个T1到T4加速临床和转化研究创新以及团队科学 通过提供与我们的战略合作伙伴机构相结合的学术家园， 2.扩大，多样化，并加强跨学科翻译生物医学科学家的劳动力 3.实施有效的方法来持续评估和优化服务，提高效率， 改进流程，认可通用指标，并降低所有IIMS计划的成本