Reducing Health Disparities Through Informatics

描述(由申请人提供)：通过以下途径减少健康差距 信息学许多研究证明，服务不足的人群，如 少数族裔、妇女和儿童、低收入群体 社会经济地位，艾滋病毒/艾滋病患者明显不太可能 比其他人接受与最好的医疗保健相一致的护理 证据。通过以下方式缩小健康差距的大前提 ！信息学(RHeaDI)研究培训计划是信息技术 信息学流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地位 对护士进行有关这一重要主题的培训。通过RHeaDI，我们建议培训 博士后和博士后级别的信息学护士。在 博士前水平，护士(1年级2人，额外增加一名实习生 第2年和第3年)将支持您获得专注于使用的DNSC 提升护理知识的信息技术和流程 以发展新信息学为目标的医学信息学博士学位的开发 知识。这两个项目的共同点是一系列关于易受攻击的课程 护理博士生学院的人口、理论和研究方法 护理学院教师讲授的课程和信息学课程 和医学信息学系。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 计划目标的背景。博士前培训时间为4-5年。 实习生2-3年，博士后实习生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.