Conduits: Mount Sinai Health System Translational Science Hub

在过去的十年中，西奈山已经在所需的综合翻译计划方面投入了大量资金， 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。根据机构战略目标， 越来越多的社区关注环境毒素和社会正义，管道，西奈山 转化科学研究所已经发展了其精准医学的方法， 将基因组学与环境卫生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。 ConduITS将利用其在研究信息学、数字健康、基因组学、生物学（ 所有健康相关环境的研究），以及数据科学，以改变参与和科学 将发现转化为更好的健康结果，满足生命周期的需求， 我们服务的不同人群。我们将加强管道在改变当地，区域和 通过开发和分享创新的教育项目， 激励新兴数据科学领域的跨学科团队科学（例如，经济学）和 创业精神，以及培训新兴临床和生物信息学学习的多元化劳动力 利用大数据的卫生系统方法。我们的目标跨越了作为组织的领域 我们的CTSA中心的原则包括：1）劳动力发展。发展学习机会， 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是社会责任研究和培训的核心原则; 3） 协作和参与。在翻译研究的各个阶段吸引不同的利益相关者， 加速器模型的建立，以解决优先社区关注的问题，并适用于环境正义，生命 课程和数据科学框架，以推动以社区为中心的解决方案：4）信息学。利用数据 科学，以更好地协调医疗保健提供与转化研究，通过整合安全的电子 健康记录（EHR）、患者报告的结果、临床试验管理系统和机构 生物库和数据库，使临床数据科学研究; 5）方法和过程。创新 精简研究行政监督和流程，以尽量减少障碍，确保质量， 诚信;监测成果并收集利益攸关方的反馈意见，以促进和加强参与 由ConduITS、区域CTSA中心和CTSA国家网络支持的临床转化研究; （6）整合。整合整个生命周期的转化研究，重点关注围产期和儿科 研究、老年人口和受健康差距影响的人口;加速纳入 通过我们创新的Exposomics可选功能，实现生命周期中的精准医疗。 .

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. .