Reducing Health Disparities Through Informatics

描述（由申请人提供）：通过减少健康差距 信息学许多研究表明，服务不足的人群，如 少数民族、妇女和儿童、 社会经济地位和艾滋病毒/艾滋病感染者 比其他人更容易接受与最佳医疗保健相一致的护理 证据通过以下途径减少健康差距的首要前提是 !信息学（RHeaDI）研究培训计划是信息技术 和信息化过程是基础设施的重要组成部分， 减少健康差距，促进循证实践， 服务不足。护理学院和医学信息学系 哥伦比亚大学在提供跨学科研究方面具有独特的优势 对护士进行这方面的培训。通过RHeaDI，我们建议培训 博士前和博士后水平的信息学护士。在 博士前水平，护士（第一年2名，第二年增加一名实习生） 第2年和第3年）将获得支持，以获得DNSc，重点是使用 信息技术和流程，以促进护理知识 医学信息学博士学位，旨在开发新的信息学 知识这两个项目的共同点是一系列关于脆弱群体的课程， 人口，理论和研究方法，从护理学院博士 课程和信息学课程由护理学院教授 医学信息学系。博士后护士实习生（每年2名） 将接受针对个人兴趣的研究培训， 方案目标的背景。该计划的长度是4-5年的博士前 实习生和博士后2-3年。

DESCRIPTION (provided by applicant): Reducing Health Disparities Through Informatics Many studies have documented that underserved populations such as racial and ethnic minorities, women and children, those with lower socioeconomic status, and persons with HIV/AIDS are significantly less likely than others to receive care that is consistent with the best health care evidence. The overarching premise of the Reducing Health Disparities Through !informatics (RHeaDI) research training program is that information technology and informatics processes are essential components of an infrastructure to reduce health disparities and to facilitate evidence-based practice in the underserved. The School of Nursing and Department of Medical Informatics at Columbia University are uniquely positioned to offer interdisciplinary research training for nurses on this crucial topic. Through RHeaDI, we propose to train nurses in informatics at predoctoral and postdoctoral levels. At the predoctoral level, nurses (2 in Year 1 with an additional trainee added in Years 2 and 3) will be supported to earn either a DNSc with a focus on the use of information technology and processes to advance nursing knowledge development or a PhD in Medical Informatics aimed at developing new informatics knowledge. Common across both programs is a series of courses on vulnerable populations, theory, and research methods from the School of Nursing doctoral curriculum and informatics courses taught by faculty from the School of Nursing and Department of Medical Informatics. Postdoctoral nurse trainees (2 per year) will receive research training tailored to individual interests within the context of the program aims. The program length is 4-5 years for predoctoral trainees and 2-3 years for postdoctoral trainees.