Conduits: Mount Sinai Health System Translational Science Hub

管道：西奈山卫生系统转化科学中心

• 批准号: 10628048
• 负责人: Rosalind J Wright
• 金额: $ 909.48万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-10 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10628048
• 关键词: Address; Big Data; Bioinformatics; Clinical; Clinical Data; Clinical Informatics; Clinical Sciences; Clinical Trials; Collaborations; Communication Research; Communication Tools; Communities; Competence; Computational Biology; Data; Data Science; Development; Discipline; Ecosystem; Elderly; Electronic Health Record; Ensure; Entrepreneurship; Environment; Environmental Health; Evaluation; Feedback; Genomics; Goals; Health; Health Sciences; Health system; High Performance Computing; Incentives; Informatics; Institutes; International; Investments; Justice; Leadership; Learning; Life Cycle Stages; Longevity; Medical; Methods; Mission; Modeling; Monitor; National Center for Advancing Translational Sciences; Outcome; Patient Outcomes Assessments; Patients; Pediatric Research; Perinatal; Phase; Population; Population Heterogeneity; Process; Public Health; Research; Research Personnel; Research Support; Research Training; Role; Science; Secure; Social Justice; Students; System; Technology; Toxic Environmental Substances; Training; Translational Research; Translations; Trust; Work; Workforce Development; biobank; catalyst; citizen science; commercialization; community center; community engaged research; community engagement; data repository; digital health; environmental justice; equity diversity and inclusion; hackathon; health care delivery; health disparity; health equity; improved; innovation; innovative technologies; multi-site trial; novel; precision medicine; programs; research data dissemination; skills; social; social determinants; symposium; tool; translational applications; translational research program; user-friendly

Contact PD/PI: Wright, Rosalind J In the past decade, Mount Sinai has invested significantly in the integrative translational initiatives needed to advance precision medicine. This included investments in genomics, high-performance computing, clinical informatics, smart technologies, and computational biology. In concert with institutional strategic goals and increasing community concerns around environmental toxins and social justice, ConduITS, the Mount Sinai Institute for Translational Science, has evolved its approach to precision medicine to include a precision public health framework integrating genomics with key public health domains such as environmental health, social determinants, and big data team science to more effectively address health equity challenges. ConduITS will harness unique strengths in research informatics, digital health, genomics, exposomics (the study of all health relevant environment), and data science to transform engagement and the science of translation to accelerate discoveries into better health outcomes across the lifespan matched to the needs of the diverse populations we serve. We will augment ConduITS’ role in transforming the local, regional, and national translational research enterprise by developing and sharing innovative educational programs, incentivizing transdisciplinary team science in emerging data science fields (e.g., exposomics) and entrepreneurship, as well as training a diversified workforce on emerging clinical and bioinformatics learning health system approaches that leverage big data. Our aims cut across the domains serving as organizing principles for our CTSA hub including: 1) Workforce Development. Evolve learning opportunities promoting transdisciplinary clinical data science and entrepreneurial activities; 2) Diversity. Advance justice, equity, diversity, inclusion, and an antiracist mindset as core tenets of socially responsible research and training; 3) Collaboration and Engagement. Engage diverse stakeholders in all phases of translational research through accelerator models constituted to address priority community concerns and apply an environmental justice, life course, and data science framework to drive community-centered solutions: 4) Informatics. Leverage data science to better coordinate health care delivery with translational research by integrating secure electronic health records (EHRs), patient reported outcomes, clinical trials management systems, and institutional biobanks and data repositories, enabling clinical data science research; 5) Methods and Processes. Innovate and streamline research administrative oversight and processes to minimize roadblocks, ensure quality and integrity; monitor outcomes and garner feedback from stakeholders to facilitate and enhance participation in clinical translational research supported by ConduITS, regional CTSA hubs, and the CTSA national network; and 6) Integration. Incorporate translational research across the lifespan, focusing on perinatal and pediatric research, geriatric populations, and populations impacted by health disparities; accelerating inclusion of environment in life course precision medicine via our innovative Exposomics optional function. . Project Summary/Abstract Page 309 Contact PD/PI: Wright, Rosalind J ConduITS will harness unique strengths in translational research informatics, digital health, and data science to transform research, engagement, and the science of translation to accelerate discoveries into better health outcomes matched to diverse population needs across the lifespan. We will augment ConduITS’ role in transforming the local, regional, and national translational research enterprise to improve health through development and sharing of innovative educational programs, participating in multi-site trials including centralized regulatory oversight, subcontracting and data-sharing, incentivizing transdisciplinary team science in emerging scientific fields (e.g. precision medicine, public health, and exposomics), entrepreneurship, and in training a diversified workforce emphasizing emerging clinical and bioinformatics learning health system approaches and related big data initiatives.

联系PD/PI：Wright，Rosalind J 在过去的十年中，西奈山在所需的综合翻译倡议上投入了大量资金 推进精准医疗。这包括对基因组学、高性能计算、临床 信息学、智能技术和计算生物学。与机构战略目标和 越来越多的社区关注环境毒素和社会正义，管道，西奈山 翻译科学研究所，已经发展出其精确医学的方法，包括精确 将基因组学与环境健康等关键公共卫生领域相结合的公共卫生框架， 社会决定因素和大数据团队科学，以更有效地应对卫生公平挑战。 管道将利用研究信息学、数字健康、基因组学、曝光组学(The 研究所有与健康相关的环境)，以及数据科学，以转变参与度和科学 翻译以加速发现与需求匹配的寿命内更好的健康结果 我们所服务的不同人群。增强管道在地方、区域和社会转型中的作用 国家翻译研究企业通过开发和分享创新教育项目， 激励新兴数据科学领域的跨学科团队科学(例如，暴露组学)和 创业精神，以及在新兴临床和生物信息学学习方面培训多样化的劳动力 利用大数据的医疗系统方法。我们的目标跨越了作为组织的领域 我们CTSA中心的原则包括：1)劳动力发展。发展学习机会促进 跨学科临床数据科学和创业活动；2)多样性。促进正义、公平、 多样性、包容性和反种族主义心态，作为对社会负责的研究和培训的核心原则；3) 协作和参与。通过以下方式让不同的利益相关者参与翻译研究的所有阶段 加速器模型旨在解决社区优先关注的问题，并应用环境正义、LIFE 课程，以及推动以社区为中心的解决方案的数据科学框架：4)信息学。利用数据 通过集成安全的电子产品，更好地协调医疗保健提供与翻译研究的科学 健康记录(EHR)、患者报告结果、临床试验管理系统和机构 生物库和数据仓库，使临床数据科学研究成为可能；5)方法和过程。创新 并简化研究行政监督和流程，以最大限度地减少障碍，确保质量和 诚信；监测结果并收集利益攸关方的反馈，以促进和加强参与 由渠道、区域CTSA枢纽和CTSA国家网络支持的临床转化研究； 6)整合。将翻译研究纳入整个生命周期，重点放在围产期和儿科 研究、老年人口和受健康差距影响的人口；加速纳入 生命周期中的环境精准医学通过我们创新的Exposology可选功能。 。 项目摘要/摘要页309 联系PD/PI：Wright，Rosalind J 渠道将利用翻译研究信息学、数字健康和数据科学的独特优势 转变研究、参与和翻译科学，加速发现，使之更健康 结果与不同人群在整个寿命周期内的需求相匹配。我们将在以下方面加强管道的作用 转变地方、地区和国家翻译研究企业，通过以下方式改善健康 开发和分享创新教育项目，参与多个地点的试验，包括 集中监管、分包和数据共享，激励跨学科团队科学 在新兴科学领域(例如，精确医学、公共卫生和暴露组学)、创业和 培养多元化的劳动力队伍，强调新兴的临床和生物信息学学习卫生系统 方法和相关的大数据倡议。