Reducing Health Disparities Through Informatics

尽管实践中的差异无处不在，但许多研究表明， 如少数种族和族裔、妇女和儿童、社会经济地位较低的人， 艾滋病毒/艾滋病感染者比其他人更不可能得到符合最佳标准的护理， 医疗保健证据。通过信息学减少健康差距的首要前提 （RHeaDI）研究培训计划是信息技术和信息学过程是必不可少的 基础设施的组成部分，以减少健康差距，并促进 服务不足。在这个前提下，目前的研究培训计划，护理，护理信息学， 或生物医学信息学通常侧重于健康差异和循证实践或信息学。 哥伦比亚大学是独特的定位，为护士提供跨学科的研究培训， 专注于信息学的使用（即，理论、方法、过程和工具），以减少健康差距 并在服务不足的人群中促进循证实践。护理学院和护理系 生物医学信息学是国际公认的学术卓越。一个既定的信息学 临床护理、教育和研究的基础设施已经存在。此外，护理学院和 生物医学信息学系有跨学科合作和 承诺和服务不足的人群。在T32的这一竞争性延续请求中 NR 007969，我们建议在博士前（n=3）和博士后水平（n=1）的信息学培训护士。在 在博士前水平，护士将获得支持，以赚取无论是DNSc与护理信息学的重点或 生物医学信息学博士。这两条“轨道”之间的认识论区别是 研究产生的知识。DNSc学生将应用现有的信息技术，方法， 和工具来建立新的护理知识。相比之下，博士课程的护士将在以下方面进行研究： 发展信息科学知识。这两个项目的共同点是一系列课程， 弱势群体、理论、研究方法和生物信息学方法。RHeaDI学员有 在最初的奖励期间表现出高水平的学术生产力，有几个已经获得了 跨学科的学术职位在他们的教育计划结束。

Although variation in practice is ubiquitous, 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. In regards to this premise, current research training programs in nursing, nursing informatics, or biomedical informatics typically focus on health disparities and evidence-based practice or on informatics. Columbia University is uniquely positioned to offer interdisciplinary research training for nurses that is focused on the use of informatics (i.e., theories, methods, processes, and tools) to reduce health disparities and facilitate evidence-based practice in underserved populations. The School of Nursing and Department of Biomedical Informatics are internationally recognized for academic excellence. An established informatics infrastructure exists for clinical care, education, and research. Moreover, the School of Nursing and Department of Biomedical Informatics have a documented history of interdisciplinary collaboration and of commitment and service to underserved populations. In this competing continuation request for T32 NR007969, we propose to train nurses in informatics at the predoctoral (n=3) and postdoctoral level (n=1). At the predoctoral level, nurses will be supported to earn either a DNSc with a focus on Nursing Informatics or a PhD in Biomedical Informatics. The epistemological distinction between these two "tracks" is type of knowledge generated by the research. DNSc students will apply existing information technology, methods, and tools to build new nursing knowledge. In contrast, nurses in the PhD program will conduct research in order to develop information science knowledge. Common across both programs is a series of courses on vulnerable populations, theory, research methods, and bioinformatics methods. RHeaDI trainees have demonstrated a high level of scholarly productivity during the initial award period and several have secured interdisciplinary academic positions at the conclusion of their educational programs.