Reducing Health Disparities Through Informatics

项目总结 哥伦比亚护理公司在培养护士科学家进行跨学科信息学方面一直处于领先地位 十多年来通过信息学(RHeaDI)预 和博士后培训计划(T32NR007969)和相关资金来源。此外，RHeaDI领导人， 讲师和实习生进行了跨学科的信息学研究，使护理 科学和健康公平。RheaDI在这次竞争性更新中的目标和培训活动建立在 在其14年的资助中，取得了实质性的成就，与 2016 NINR战略计划(症状科学、健康和自我管理)，并解决以下问题 交叉领域：促进创新-改善健康的技术和21世纪护士科学家- 研究事业的创新策略。这一竞争性续订增加了数据科学支持的精确度 医学方法与美国国立卫生研究院对精确医学的广泛定义一致 AS 一种考虑到个体在基因、环境和生活方式上的变异性的新兴方法。 重要的是，RHeaDI培训将继续针对服务不足、处境不利和多样化的人群 与不断发展的趋势相一致，它的框架已经从减少健康 在促进健康公平方面存在差距，即实现所有人的最高健康水平。鉴于我们的 成功地为RHeaDI和项目成果招聘了不同的护士干部，我们要求4 博士后和博士后职位各3个。RHeaDI为多年的竞争更新而制定的具体目标 16-20将：1)维持行政结构，以支持对护士的跨学科研究培训 侧重于使用信息学和精确医学方法来促进卫生公平和促进 在缺乏服务的人群中开展循证实践；2)招聘和培训合格的多元化护理干部 (博士后和博士后)利用信息学和精确医学进行跨学科研究 在服务不足的人群中促进卫生公平和促进循证实践的方法；3) 加强博士后和博士后护生理论整合的知识和技能 以及信息学和精准医学的方法，以促进卫生公平和促进循证 在服务不足的人群中进行实践；以及4)评估培训计划的结构、流程和 在持续和每年的基础上取得成果。我们已经改编了国家护理研究所 组织RHeaDI评估计划的中心主任可持续发展逻辑模型 传统方法与基于数据科学的方法，包括主题建模和网络分析。这个 对经过培训以实现RHeaDI目标重点的护士科学家的需求比以往任何时候都更大 护理凭借其特殊的资源是唯一有资格领导这一创新培训计划的人。

PROJECT SUMMARY Columbia Nursing has been the leader in preparing nurse scientists to conduct interdisciplinary informatics research for more than a decade through the Reducing Health Disparities Through Informatics (RHeaDI) Pre- and Postdoctoral Training Program (T32NR007969) and related funding sources. Moreover, RHeaDI leaders, preceptors, and trainees have conducted interdisciplinary informatics research that has advanced nursing science and health equity. RheaDI aims and training activities in this competitive renewal build upon the substantial achievements of its 14 years of funding, are well-aligned with three of four scientific areas in the 2016 NINR Strategic Plan (Symptom Science, Wellness, and Self-Management), and address the following cross cutting areas: Promoting Innovation - Technology to Improve Health and 21st Century Nurse Scientists - Innovative Strategies for Research Careers. This competitive renewal adds data science-enabled precision medicine approaches consistent with the National Institutes of Health's broad definition of precision medicine as an emerging approach that takes into account individual variability in genes, environment, and lifestyle. Importantly, RHeaDI training will continue to target underserved, disadvantaged, and diverse populations across the care continuum and, consistent with evolving trends, its frame has shifted from reducing health disparities to advancing health equity, i.e., the attainment of the highest level of health for all people. Given our success in recruiting a diverse cadre of nurses for RHeaDI and the program outcomes, we are requesting 4 predoctoral and 3 postdoctoral positions. The specific aims of RHeaDI for the competitive renewal for Years 16-20 are to: 1) Maintain an administrative structure to support interdisciplinary research training for nurses focused on the use of informatics and precision medicine approaches to advance health equity and facilitate evidence-based practice in underserved populations; 2) Recruit and train a qualified diverse cadre of nurses (predoctoral and postdoctoral) to conduct interdisciplinary research using informatics and precision medicine approaches to advance health equity and facilitate evidence-based practice in underserved populations; 3) Enhance the knowledge and skills of predoctoral and postdoctoral nurse trainees in the integration of theories and methods from informatics and precision medicine to advance health equity and facilitate evidence-based practice in underserved populations; and 4) Evaluate the training program structures, processes, and outcomes on an ongoing and annual basis. We have adapted the National Institute of Nursing Research Center Director's Logic Model for Sustainability to organize the RHeaDI Evaluation Plan which integrates traditional methods with data science-based approaches including topic modeling and network analysis. The need for nurse scientists trained to achieve the focus of the RHeaDI aims is greater than ever and Columbia Nursing with its exceptional resources is uniquely qualified to lead this innovative training program.