课题基金 / 基金详情

Administrative Core

Administrative Core
行政核心
批准号:
10261326
负责人:
JEFFREY R. CURTIS
金额:
$26.64万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-15 至 2024-07-31

项目摘要

项目成果

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中文摘要
翻译
项目总结 阿拉巴马大学伯明翰分校(UAB)的建设和创新:数字医疗技术和 分析(BigData)核心中心将成为设计和实施严谨、高度 IMPACT临床研究推进肌肉骨骼、关节炎和皮肤病研究 在传统医疗机构之外,使用移动技术捕获的数据,包括 智能手机应用程序和可穿戴生物传感器设备。对该中心的监督将由 管理核心由Jeffrey Curtis,医学博士,硕士,公共卫生硕士,副主任云慧峰,博士和关键 教师S.Louis Bridges,Jr.,医学博士和Kenneth Saag,医学博士,硕士。该计划的主要目的 行政核心是监督中心的所有运营,并促进BigData的使命,以改善 设计、收集和分析真实世界(例如,电子健康记录、登记处、健康计划、生物传感器); 在风湿学、肌肉骨骼和皮肤病研究中使用传统和 新的数据源(例如智能手机应用程序、生物传感器/可穿戴设备、数字图像)和方法(例如数据 可视化;自然语言处理数据;机器学习和深度学习分析) 具体目标如下:(1)确定促进风湿病的优先事项和总体战略议程, 肌肉骨骼和皮肤病研究;(2)协调核心设施,支持充满活力的知识分子 和学术研究环境;(3)促进高度成功的继续进化 方法核心及其扩展,以纳入数据捕获中嵌入的新技术 集成核心(DCI),使用最先进的工具开发新服务和创新研究项目 风湿学、信息学、统计学、流行病学、实施科学和成果研究 UAB和奥本大学;(4)监督优秀教育充实计划的继续 旨在加强用户基础的知识和技能,导致更高质量的临床研究;(5) 促进试点和可行性项目的开发,并提供监督和管理;(6) 协调与执行和咨询委员会以及现有的UAB实体的互动,如 NCATS资助的临床和翻译科学中心,UAB信息学研究所,NIAMS资助 痛风、高尿酸血症和合并症P50研究翻译中心 综合关节炎、肌肉骨骼、骨骼和自身免疫中心; 有效性研究和教育,以及UAB药物流行病学和药物经济学部门;(7) 作为评估的试金石,以:a)确保领导力、参与度的持续质量改进 以及BigData向用户群提供的服务和资源的质量,以及b)量化BigData的 对研究界的影响。
英文摘要
PROJECT SUMMARY The University of Alabama at Birmingham's (UAB) Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA) Core Center will serve as a catalyst for the design and implementation of rigorous, high- impact clinical research studies advance musculoskeletal, arthritis and skin disease research inside and outside the confines of traditional health care facilities, using data captured by mobile technology including Smartphone Apps and wearable biosensor devices. Oversight of the Center will be provided by the Administrative Core directed by Jeffrey Curtis, MD, MS, MPH, Associate Director Huifeng Yun, PhD, and key faculty S. Louis Bridges, Jr., MD, PhD and, Kenneth Saag, MD, MSc. The central purpose of the Administrative Core is to oversee all operations of the Center and facilitate BIGDATA's mission to improve the design, collection and analysis of real-world (e.g. electronic health record, registry, health plan, biosensor), and 'omic' data as applied to rheumatologic, musculoskeletal, and skin disease research using both traditional and novel data sources (e.g. Smartphone Apps, biosensors/wearables, digital images) and methods (e.g. data visualization; natural language processing data; machine learning and deep learning analytics) via the following specific aims: (1) Set the priorities and the overall strategic agenda to facilitate rheumatologic, musculoskeletal, and skin disease research; (2) Coordinate Core facilities, supporting a vigorous intellectual and scholarly research environment; (3) Facilitate the continued evolution of the highly successful Methodologic Core and its expansion to incorporate novel technologies embedded in the Data Capture & Integration Core (DCI) to develop new services and innovative research projects using state-of-the-art tools from rheumatology, informatics, statistics, epidemiology, implementation science, and outcomes research at UAB and Auburn University; (4) Oversee the continuation of the outstanding educational enrichment programs designed to bolster the knowledge and skills of the user base, leading to higher quality clinical research; (5) Foster the development and provide oversight and management of Pilot and Feasibility projects; (6) Coordinate interactions with the Executive & Advisory Committees, and existing UAB entities such as the NCATS-funded Center for Clinical and Translational Science, UAB Informatics Institute, NIAMS-funded Investigations in Gout, Hyperuricemia, and Comorbidities P50 Center of Research Translation; the Comprehensive Arthritis, Musculoskeletal, Bone, and Autoimmunity Center; Center for Outcomes and Effectiveness Research and Education, and the UAB Pharmacoepidemiology & pharmacoEconomics unit; (7) Serve as the evaluation touchstone to: a) ensure continuous quality improvement in leadership, engagement and the quality of services and resources provided by BIGDATA to the User Base, and b) quantify BIGDATA's impact on the research community.
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Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA)
Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA)
Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA)
Administrative Core
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