Reducing Health Disparities Through Informatics

描述（由申请人提供）：虽然实践中的差异是普遍存在的，但许多研究表明，服务不足的人群，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/艾滋病患者，与其他人相比，接受与最佳医疗保健证据一致的护理的可能性明显降低。通过信息学减少健康差距（RHeaDI）研究培训计划的首要前提是，信息技术和信息学过程是基础设施的重要组成部分，以减少健康差距，并促进服务不足的循证实践。关于这一前提，目前的研究培训计划在护理，护理信息学，或生物医学信息学通常侧重于健康差距和循证实践或信息学。哥伦比亚大学具有独特的优势，为护士提供跨学科的研究培训，重点是信息学的使用（即，理论，方法，过程和工具），以减少健康差距，并促进在服务不足的人群循证实践。护理学院和生物医学信息学系是国际公认的学术卓越。临床护理、教育和研究有一个已建立的信息学基础设施。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于服务不足的人群的历史记录。在T32 NR 007969的竞争延续请求中，我们建议在博士前（n=3）和博士后（n=1）水平上培训护士。在博士前阶段，护士将获得支持，以获得专注于护理信息学的DNSc或生物医学信息学博士学位。这两条“轨道”之间的认识论区别是研究产生的知识类型。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，博士课程的护士将进行研究，以发展信息科学知识。这两个项目的共同点是一系列关于弱势群体，理论，研究方法和生物信息学方法的课程。RHeaDI受训人员在最初的奖励期间表现出了高水平的学术生产力，其中一些人在他们的教育计划结束时获得了跨学科的学术职位。

DESCRIPTION (provided by applicant): 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.