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: 10704045
• 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/10704045
• 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; Collaborations; Collection; Communities; Data; Data Analytics; Data Sources; Development; Devices; Diagnosis; Electronic Health Record; Environment; Epidemiology; Fostering; Funding; Future; Genetic; Goals; Health Information System; Health Technology; Health care facility; Healthcare; Immune System Diseases; Industry; Informatics; Information Services; Institution; Light; Link; Medicine; Methodology; Methods; Mission; Musculoskeletal Diseases; National Institute of Arthritis, and Musculoskeletal, and Skin Diseases; Patient-Focused Outcomes; Patients; 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 health; digital technology; health data; health economics; health information technology; health plan; implementation science; improved outcome; innovation; mHealth; member; mobile computing; multidisciplinary; pragmatic trial; 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 伯明翰大学（UAB）的阿拉巴马大学临床免疫学和风湿病学 长期以来一直被认为是一种创新的机构，在研究中推进了临床和转化研究 风湿性，免疫学，肌肉骨骼和皮肤疾病。但是，人们越来越认识到有些 在业务和行业的变革性，技术进步中，尚未有效地应用于 医学，也不有效地整合在临床环境中以支持最先进的生物医学研究 与Niams任务一致。医学的未来，尤其是临床研究，将看到相当大的 使用移动技术捕获的数据，在传统医疗机构范围之外的护理交付 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团队在许多方面发展了专业知识 应用健康信息技术的领域（HIT）。因此，我们建议建筑物并整合 数字健康技术和分析（BIGDATA）临床研究核心中心（CCCR） 这些技术并使其可用来支持机构中的广泛调查员， 和外部。我们将将核心能力与多重杠杆机构资源相结合，以支持 与NIAMS任务相关的研究。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（该应用程序中的合作机构），UAB 信息学院，我们的卫生系统信息服务，电子健康记录和数据仓库， 以及协作的机构研究中心，其成员将占我们用户群的很大一部分。 涵盖三个不同和协同的内核（数据捕获和集成[DCI]资源核心， 方法论和行政），所有这些都围绕移动和数字健康，信息学，真实的主题 世界数据和高级分析，BigData CCCR将为创新的热门工具和方法带入 研究社区通过以下特定目标有效地推进NIAMS使命：目标 1：促进杰出，创新和协同的风湿病学和肌肉骨骼疾病 阿拉巴马大学的研究与加快临床，转化和信息相关的项目 伯明翰通过利用我们的方法论核心，由一支具有专业知识的多元化团队组成 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：促进开发，改进和应用 现有和新的数字技术数据捕获和分析工具与传统数据源集成 通过我们的数据捕获和 集成核心（DCI）;目标3：促进培训初级和既定的临床和翻译 当前适用于NIAMS的临床信息学和数字健康工具方法的研究人员 通过我们的行政核心监督的各种充实活动的任务。

项目成果

Machine Learning Approaches to Classify Self-Reported Rheumatoid Arthritis Health Scores Using Activity Tracker Data: Longitudinal Observational Study.

• DOI: 10.2196/43107
• 发表时间: 2023-06-26
• 期刊: JMIR FORMATIVE RESEARCH
• 影响因子: 2.2
• 作者: Rao, Kaushal;Speier, William;Meng, Yiwen;Wang, Jinhan;Ramesh, Nidhi;Xie, Fenglong;Su, Yujie;Nowell, W. Benjamin;Curtis, Jeffrey R.;Arnold, Corey
• 通讯作者: Arnold, Corey

Participant Engagement and Adherence to Providing Smartwatch and Patient-Reported Outcome Data: Digital Tracking of Rheumatoid Arthritis Longitudinally (DIGITAL) Real-World Study.

• DOI: 10.2196/44034
• 发表时间: 2023-11-07
• 期刊: JMIR HUMAN FACTORS
• 影响因子: 2.7
• 作者: Nowell, William B.;Curtis, Jeffrey R.;Zhao, Hong;Xie, Fenglong;Stradford, Laura;Curtis, David;Gavigan, Kelly;Boles, Jessica;Clinton, Cassie;Lipkovich, Ilya;Venkatachalam, Shilpa;Calvin, Amy;Hayes, Virginia S.
• 通讯作者: Hayes, Virginia S.

Real-World Sarilumab Use and Rule Testing to Predict Treatment Response in Patients with Rheumatoid Arthritis: Findings from the RISE Registry.

• DOI: 10.1007/s40744-023-00568-8
• 发表时间: 2023-08
• 期刊: RHEUMATOLOGY AND THERAPY
• 影响因子: 3.8
• 作者: Curtis, Jeffrey R.;Yun, Huifeng;Chen, Lang;Ford, Stephanie S.;van Hoogstraten, Hubert;Fiore, Stefano;Ford, Kerri;Praestgaard, Amy;Rehberg, Markus;Choy, Ernest
• 通讯作者: Choy, Ernest

Remote Therapeutic Monitoring in Rheumatic and Musculoskeletal Diseases: Opportunities and Implementation.

风湿病和肌肉骨骼疾病的远程治疗监测：机会和实施。

• DOI: 10.18103/mra.v11i7.2.3957
• 发表时间: 2023
• 期刊: Medical research archives
• 作者: Nowell,WBenjamin;Curtis,JeffreyR
• 通讯作者: Curtis,JeffreyR

Patient Perceptions of Rheumatoid Arthritis Blood Work: A Cross-Sectional Survey in the ArthritisPower Registry.

患者对类风湿关节炎血液工作的看法：ArthritisPower 登记处的横断面调查。

• DOI: 10.1002/acr.25187
• 发表时间: 2023
• 期刊: Arthritis care & research
• 影响因子: 4.7
• 作者: Nowell,WilliamB;Venkatachalam,Shilpa;Gavigan,Kelly;George,MichaelD;Withers,JohannaB;Stradford,Laura;Rivera,Esteban;Curtis,JeffreyR
• 通讯作者: Curtis,JeffreyR