Reducing Health Disparities Through Informatics

通过信息学减少健康差距

• 批准号: 8072930
• 负责人: SUZANNE BAKKEN
• 金额: $ 10.42万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2011-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8072930
• 关键词: Informatics; health disparity

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.

尽管实践的差异无处不在，但许多研究都记录了服务不足的人群 例如种族和少数民族，妇女和儿童，社会经济地位较低的人，以及 艾滋病毒/艾滋病的人比其他人获得与最佳的护理相比， 医疗保健证据。通过信息学减少健康差异的总体前提 （Rheadi）研究培训计划是信息技术和信息学过程至关重要 基础设施的组成部分，以减少健康差异并促进基于证据的实践 服务不足。关于这个前提，当前的护理，护理信息学研究培训计划， 或生物医学信息学通常关注健康差异和基于证据的实践或信息学。 哥伦比亚大学在为护士提供跨学科的研究培训方面处于独特状态 专注于使用信息学（即理论，方法，过程和工具）来减少健康差异 并促进服务不足的人群中的循证实践。护理学院和系 生物医学信息学以卓越的学术认可。已建立的信息学 存在用于临床护理，教育和研究的基础设施。此外，护理学院和 生物医学信息学部有跨学科合作的历史和 对服务不足的人群的承诺和服务。在此竞争的连续性请求中 NR007969，我们建议在术前（n = 3）和博士后水平（n = 1）培训护士有关信息学的培训。在 占主导地位的护士将得到支持，以赚取DNSC，重点是护理信息学或 生物医学信息学博士学位。这两个“轨道”之间的认识论区别是 研究产生的知识。 DNSC学生将应用现有信息技术，方法， 以及建立新的护理知识的工具。相比之下，博士计划中的护士将进行研究 为了发展信息科学知识。在两个程序中常见的是一系列课程 脆弱的人群，理论，研究方法和生物信息学方法。 Rheadi学员有 在初始奖励期间证明了高水平的学术生产力，有几个人确保了 跨学科的学术职位在其教育计划结束时。