Reducing Health Disparities Through Informatics

项目总结 哥伦比亚大学护理学院一直是准备护士科学家进行 近二十年来的跨学科信息学研究，通过以下途径缩小健康差距 信息学(RHeaDI)博士后和博士后培训计划(T32NR007969)和相关资金来源。 此外，RHeaDI领导人、教官和受训人员进行了跨学科的信息学研究， 拥有先进的护理科学和健康公平。RHeaDI在本次比赛中的目标和培训活动 更新建立在其19年筹资取得的重大成就的基础上，并与 国家护理研究所(NINR)致力于支持护理科学，重点是(A) 拆除使种族主义永久化和妨碍保健公平的结构；(B)制定和执行 应对终身社会决定因素的干预措施；(C)发展和推进 创新的全方位和精准的全寿命健康。以RHeaDI的独特和历史性为基础 信息学和数据科学方面的优势，以及在上一届大赛中对精确医疗方法的关注 更新，竞争性更新的重点是克服每个人健康的结构性障碍 不分种族、民族、性别或收入。鉴于我们成功地招聘了一支多元化的护士队伍 RHeaDI和项目成果，我们正在申请4个博士后和4个博士后职位。具体的 21-25年RHeaDI竞争更新的目标是：1)维持管理结构，以 支持对护士进行跨学科研究培训，重点是信息学和数据科学的使用 促进健康公平、全面和精确健康的方法，并促进循证实践 服务不足的人群；2)招聘和培训一支来自不同背景的合格的多元化护士队伍， 文化、经验和视角，以进行跨学科研究，重点是使用信息学和 数据科学方法，以促进健康公平、全面和精确的健康，并促进循证 在服务不足的人群中进行实践。3)增强博士后和博士后的知识和技能 整合信息学、数据科学和少数群体健康的理论和方法的护士实习生 和健康差距研究，以促进健康公平、全面和精确的健康，并促进证据- 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。需要经过培训的护士科学家来实现 RHeaDI AIMS比以往任何时候都更伟大，哥伦比亚大学护理学院凭借其非凡的资源 唯一有资格领导这一创新培训计划的人。

PROJECT SUMMARY Columbia University School of Nursing has been the leader in preparing nurse scientists to conduct interdisciplinary informatics research for nearly two decades 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 19 years of funding and are well-aligned with the National Institute of Nursing Research (NINR) commitment to supporting nursing science that focuses on (a) dismantling structures that perpetuate racism and impede health equity; (b) developing and implementing interventions that address social determinants across the lifespan; and (c) developing and advancing innovative holistic and precision health across the lifespan. Building upon RHeaDI’s unique and historic strengths in informatics and data science and the focus on precision health approaches in the last competitive renewal, the competitive renewal focuses on overcoming structural obstacles to health for everyone --- regardless of race, ethnicity, gender, or income. Given our success in recruiting a diverse cadre of nurses for RHeaDI and the program outcomes, we are requesting 4 predoctoral and 4 postdoctoral positions. The specific aims of RHeaDI for the competitive renewal for Years 21-25 are to: 1) Maintain an administrative structure to support interdisciplinary research training for nurses focused on the use of informatics and data science approaches to advance health equity, holistic and precision health, and facilitate evidence-based practice in underserved populations; 2) Recruit and train a qualified diverse cadre of nurses from different backgrounds, cultures, experiences, and perspectives to conduct interdisciplinary research focused on using informatics and data science approaches to advance health equity, holistic and precision health, 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, data science, and minority health and health disparities research to advance health equity, holistic and precision health, and facilitate evidence- based practice in underserved populations; and 4) Evaluate the training program structures, processes, and outcomes on an ongoing and annual basis. The need for nurse scientists trained to achieve the focus of the RHeaDI aims is greater than ever and Columbia University School of Nursing with its exceptional resources is uniquely qualified to lead this innovative training program.