Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA)

建设和创新：数字医疗技术和分析 (BIGDATA)

• 批准号: 10468951
• 负责人: JEFFREY R. CURTIS
• 金额: $ 74.27万
• 依托单位: UNIVERSITY OF ALABAMA AT BIRMINGHAM
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10468951
• 关键词: ARHGEF5 gene; Alabama; Big Data; Bioinformatics; Biological Specimen Banks; Biomedical Research; Biometry; Businesses; Clinical; Clinical Data; Clinical Immunology; Clinical Informatics; Clinical Investigator; Clinical Research; Clinical Sciences; Clinical Trials; Collection; Communities; Data; Data Analytics; Data Sources; Development; Devices; Diagnosis; Electronic Health Record; Environment; Fostering; Funding; Future; Goals; Health Information System; Health Technology; Health care facility; Healthcare; Immune System Diseases; Industry; Informatics; Information Services; Institutes; Institution; Light; Link; Medicine; Methodology; Methods; Mission; Musculoskeletal Diseases; National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Patient-Focused Outcomes; Patients; Public Health Informatics; Registries; Research; Research Personnel; Research Support; Resources; Rheumatism; Rheumatology; Services; Technology; Training; Translational Research; Universities; advanced analytics; base; care delivery; clinical center; community engagement; comparative effectiveness; comparative safety; computer science; data warehouse; design; digital; digital health; genetic epidemiology; health data; health economics; health information technology; health plan; implementation science; improved outcome; innovation; mHealth; member; mobile computing; multidisciplinary; pragmatic trial; ranpirnase; skin disorder; smartphone Application; social media; success; tool; translational research program; translational scientist; wearable sensor technology

Project Summary The Division of Clinical Immunology and Rheumatology at the University of Alabama at Birmingham (UAB) has long been recognized as an innovative institution advancing clinical and translational research in the study of rheumatic, immunologic, musculoskeletal, and skin diseases. However, there is growing recognition that some of the transformative, technologic advances in business and industry have not been effectively applied to medicine, nor efficiently integrated within clinical environments to support state-of-the-art biomedical research consistent with the NIAMS mission. The future of medicine, particularly clinical research, will see considerable care delivery outside the confines of traditional health care facilities, using data captured by mobile technology including Smartphone Apps and wearable biosensor devices. Our UAB team has developed expertise in many domains of applied health information technology (HIT). Therefore we propose the Building and InteGrating Digital heAlth Technology and Analytics (BIGDATA) Core Center for Clinical Research (CCCR) to harness these technologies and make them available to support a broad base of investigators both within the institution, and externally. We will combine Core capacities with our multiple, leveraged institutional resources to support research relevant to the NIAMS mission. These include the UAB Center for Clinical and Translational Science and its Partner Network that includes Auburn University (a collaborating institution in this application), the UAB Informatics Institute, our Health System Information Services, electronic health record and data warehouse, and collaborative institutional research centers whose members will make up a large portion of our user base. Encompassing three distinct and synergistic cores (the Data Capture and Integration [DCI] Resource Core, Methodologic, and Administrative), all aligned around the theme of mobile and digital health, informatics, real- world data and advanced analytics, the BIGDATA CCCR will bring innovative HIT tools and methods to the research community to effectively advance the NIAMS mission through the following Specific Aims: Aim 1: Promote outstanding, innovative, and synergistic rheumatologic and musculoskeletal disease-focused research and expedite clinical, translational and informatics-related projects at the University of Alabama at Birmingham through the utilization of our Methodologic Core composed of a diverse team with expertise in biostatistics, bioinformatics, clinical informatics, statistical genetics, epidemiology, computer science, health economics, and implementation science; Aim 2: To foster the development, refinement, and application of existing and de novo digital technology data capture and analysis tools integrated with traditional data sources to advance research in rheumatologic and musculoskeletal diseases through our Data Capture and Integration Core (DCI); Aim 3: To promote the training of both junior and established clinical and translational investigators in the current methods of clinical informatics and digital health tools applicable to the NIAMS mission through diverse enrichment activities overseen by our Administrative Core.

项目摘要 位于伯明翰的亚拉巴马大学临床免疫学和流变学分部（UAB） 长期以来一直被认为是一个创新的机构，在研究中推进临床和转化研究， 风湿性、免疫性、肌肉骨骼和皮肤疾病。然而，人们越来越认识到， 商业和工业的变革性技术进步尚未有效地应用于 医学，也不能有效地集成在临床环境中，以支持最先进的生物医学研究 与NIMS的使命一致。医学的未来，特别是临床研究，将看到相当大的 利用移动的技术捕获的数据，在传统医疗保健设施范围之外提供护理 包括智能手机应用程序和可穿戴生物传感器设备。我们的UAB团队在许多领域都拥有专业知识， 应用卫生信息技术（HIT）。因此，我们建议建立和整合 数字健康技术和分析（BIGDATA）临床研究核心中心（CCCR）利用 这些技术，并使它们能够支持机构内广泛的调查人员， 和外部。我们将把联合收割机核心能力与我们的多种杠杆机构资源结合起来， 与NIAMS使命相关的研究。其中包括UAB临床和转化科学中心 及其合作伙伴网络，包括奥本大学（本申请中的合作机构），UAB 信息学研究所，我们的卫生系统信息服务，电子健康记录和数据仓库， 以及合作机构研究中心，其成员将构成我们用户群的很大一部分。 包括三个不同的协同核心（数据捕获和集成[DCI]资源核心， 方法和管理），所有这些都围绕着移动的和数字健康、信息学、真实的- 世界数据和先进的分析，BIGDATA CCCR将带来创新的HIT工具和方法， 研究界通过以下具体目标有效推进NIAMS的使命： 1：促进突出的，创新的，协同的风湿病和肌肉骨骼疾病为重点 研究和加快临床，翻译和信息学相关的项目在亚拉巴马大学在 伯明翰通过利用我们的方法核心组成的一个多元化的团队与专业知识， 生物统计学、生物信息学、临床信息学、统计遗传学、流行病学、计算机科学、健康 经济学和实施科学;目标2：促进发展，完善和应用 现有的和新的数字技术数据采集和分析工具与传统数据源集成 通过我们的数据采集，推进风湿病和肌肉骨骼疾病的研究， 整合核心（DCI）;目标3：促进初级和成熟的临床和翻译培训 研究人员在当前的临床信息学方法和数字健康工具适用于NIAMS 我们通过由行政核心监督的各种浓缩活动来执行使命。