Technology Research in Chronic & Critical Illness

项目总结摘要 利用技术监测健康、提供保健和管理慢性病和危重病 变得越来越普遍。科技被越来越多地吹捧为改变医疗保健。这个 技术领域发展的速度，再加上老年人和 生活在社区中的人患有复杂的疾病和残疾，以及不可否认的健康不平等， 让护士科学家做好准备，检查技术和临床的重要作用 数据科学在跨学科背景下促进患者更好的健康结果。这个 该培训计划的首要目标仍然是提供严格的研究培训和 跨学科文化化，建立旨在促进健康、管理疾病、 通过技术和临床数据科学的帮助，减少残疾，提高生活质量。 对于此次续订，我们现在更加重视利用技术、临床数据分析和 设计--司法，以缩小健康差距，促进弱势群体的健康公平 社会不平等。基于日益增长的护士研究人员领导跨学科团队和 为这些快速增长的领域贡献他们独特的领域专业知识培训的具体目标 计划应提供：1)理论和概念基础，以支持 一项研究计划，研究如何使用技术解决方案来解决未满足的问题 通过支持预防、检测、预测或管理与健康相关的 问题，2)将护理领域知识与新兴临床数据相结合的方法技巧 科学策略，以更好地理解复杂的健康现象，3)知识和技能 在设计技术和临床数据科学研究时纳入公平和公正，以减轻 社会不平等和健康差距，同时促进各群体和弱势群体的健康公平 人口和4)领导跨学科团队进行影响研究的技能 将技术解决方案和临床数据科学转化为实践或 商业化。要求提供资金以将该方案持续五年，以支持三个 每年两名博士后和两名博士后实习生。显然，护士研究人员需要能够检查 有效性，以及患者和提供者的适当性、可接受性和忠诚度 致力于高科技健康解决方案，并与促进这类努力的多个学科合作。 毫无疑问，这项计划将使护士实习生能够很好地进行创新，国家- 在这个不断增长的领域进行最先进的研究。

PROJECT SUMMARY ABSTRACT The use of technology to monitor health, deliver health care and manage chronic and critical illness is becoming more and more pervasive. Technology is increasingly touted as transforming health care. The speed at which the technology field is advancing, combined with the burgeoning number of elders and persons living in the community with complex illnesses and disabilities, and undeniable health inequities, make it imperative that nurse scientists be prepared to examine the vital role of technology and clinical data science in promoting better patient health outcomes within an interdisciplinary context. The overarching goal of this training program remains to provide rigorous research training and interdisciplinary culturalization to build nursing science aimed at promoting health, managing illness, reducing disability, and enhancing quality of life through the aid of technology and clinical data science. For this renewal we now add a greater emphasis on leveraging technology, clinical data analytics and design-justice to reduce health disparities and promote health equity for vulnerable populations due to social inequalities. Based on the growing need for nurse researchers to lead interdisciplinary teams and contribute their unique domain expertise to these rapidly growing fields the specific aims of the training program are to provide: 1) the theoretical and conceptual foundations to support the development of a program of research that examines ways that technological solutions can be used to address unmet clinical needs by enabling the prevention, detection, prediction, or management of health-related problems, 2) the methodological skills to combine nursing domain knowledge and emerging clinical data science strategies to better understand complex health phenomena, 3) the knowledge and skill to incorporate equity and justice in designing technology and clinical data science studies in order to mitigate social inequalities and health disparities, while promoting health equity across groups and vulnerable populations and 4) skills to lead interdisciplinary teams to conduct research of impact that propels technology solutions and clinical data science along pathways of translation into practice or commercialization. Funding is requested to continue the program for five years to support three predoctoral and two postdoctoral trainees per year. Clearly, nurse researchers need to be able to examine the effectiveness, as well as the appropriateness, acceptability, and adherence of patients and providers to high-tech health solutions and collaborate with the multiple disciplines that contribute to such efforts. Unquestionably, this program will enable nurse trainees to be well-positioned to conduct innovative, state- of-the-art research in this growing field.