UW Core Center for Clinical Research of Musculoskeletal Conditions

威斯康辛大学肌肉骨骼疾病临床研究核心中心

• 批准号: 10475473
• 负责人: JEFFREY G JARVIK
• 金额: $ 77.99万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-21 至 2027-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10475473
• 关键词: Address; Advisory Committees; Archives; Artificial Intelligence; Biomedical Research; Clinical; Clinical Data; Clinical Research; Clinical Trials; Clinical effectiveness; Collaborations; Communication; Communities; Comparative Effectiveness Research; Data; Data Analyses; Data Coordinating Center; Data Set; Development; Disease; Electronic Health Record; Ensure; Environment; Fostering; Funding; Goals; Hand; Health Transition; Health system; Healthcare Systems; Image; Improve Access; Informatics; Knowledge; Leadership; Learning; Machine Learning; Measurement; Medical Imaging; Methodology; Methods; Modernization; Musculoskeletal; Musculoskeletal Diseases; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Natural Language Processing; Observational Study; Occupational activity of managing finances; Patient Outcomes Assessments; Patients; Phenotype; Policy Maker; Population; Positioning Attribute; Pragmatic clinical trial; Process; Public Health; Quality of Care; Research; Research Activity; Research Design; Research Personnel; Research Training; Resources; Scientist; Services; Structure; System; Text; Training; Training Programs; United States Agency for Healthcare Research and Quality; United States National Institutes of Health; Universities; Visit; Washington; Work; analysis pipeline; clinical center; cohort; data quality; design; effectiveness trial; experience; faculty mentor; health care delivery; image processing; imaging modality; improved; innovation; interdisciplinary collaboration; interest; learning strategy; machine learning method; next generation; novel; outreach; programs; quality assurance; statistical and machine learning; success; tool

The overall aim of our CCCR is to develop and provide scientifically rigorous, state-of-the-art methods and resources for conducting musculoskeletal clinical research, thereby expanding the community of investigators performing high-quality musculoskeletal clinical research and increasing the amount of available useful data for researchers, clinicians, patients and policy makers. During the first funding cycle for our CCCR, we successfully engaged with a large cohort of musculoskeletal clinical researchers, introducing them to new methods and datasets. Through multiple projects focused on musculoskeletal conditions and funded by a variety of entities (NIH, AHRQ and PCORI), our group at the University of Washington (UW) has accumulated extensive experience and expertise performing large, clinical, effectiveness trials and transforming routine clinical data into research-ready data. We have developed state-of-the-art methods and accumulated a sizeable amount of cleaned, analyzable data to be used by musculoskeletal researchers. Because of our expertise and resources, we are well-positioned to advance our UW Core Center for Clinical Research (CCCR) in Musculoskeletal Diseases, the UW Clinical Learning, Evidence, And Research (CLEAR) Center for Musculoskeletal Disorders. Our UW CCCR Specific Aims are: 1) Continue to improve methods for clinical musculoskeletal studies, focusing on confirmatory learning methods (study design for both observational studies and clinical trials) and predictive learning methods (artificial intelligence for image processing and electronic health record [EHR] data, both structured and unstructured free text); 2) Continue a Resource Core that provides analysis-ready data sets and services for conducting clinical musculoskeletal research; and 3) Continue an Administrative Core that provides overall leadership for the CCCR, manages the financial aspects of the CCCR, provides communication and outreach to musculoskeletal researchers, and evaluates the success of our efforts. By achieving these aims, we will improve access to expertise and research-quality data, improve analytics by developing methods and pipelines for the analysis of clinical data, and apply and disseminate knowledge regarding the conduct of rigorous clinical trials. Our CCCR will be able to provide useful research data to health system decision-makers who will then be able to apply the results of the research to real-world decisions. By achieving these aims, we will facilitate the transition of health care delivery systems to true learning health care systems. Finally, and importantly, we will work with training programs to train the next generation of investigators in the methods and approaches outlined above.

我们CCCR的总体目的是开发和提供科学严格的，最先进的方法 以及进行肌肉骨骼临床研究的资源，从而扩大了社区 进行高质量肌肉骨骼临床研究的研究人员增加了 可用于研究人员，临床医生，患者和政策制定者的有用数据。在第一个资金周期中 对于我们的CCCR，我们成功地与大量的肌肉骨骼临床研究人员互动，引入了 它们可以进入新方法和数据集。通过多个专注于肌肉骨骼状况的项目和 由各种实体（NIH，AHRQ和PCORI）资助，我们的华盛顿大学（UW）的小组拥有 积累了丰富的经验和专业知识，进行大型，临床，有效性试验以及 将常规临床数据转换为研究就绪数据。我们已经开发了最先进的方法 积累了大量的清洁，可分析的数据，可供肌肉骨骼研究人员使用。 由于我们的专业知识和资源，我们有充分的位置来推进我们的UW核心临床中心 研究（CCCR）在肌肉骨骼疾病中，大学临床学习，证据和研究（清晰） 肌肉骨骼疾病中心。我们的UW CCCR具体目标是：1）继续改善方法 对于临床肌肉骨骼研究，着重于验证性学习方法（两者的研究设计 观察研究和临床试验）和预测学习方法（人工智能 图像处理和电子健康记录[EHR]数据，结构化和非结构化的免费文本）； 2）继续提供资源核心，该核心提供准备分析的数据集和用于进行的服务 临床肌肉骨骼研究； 3）继续提供总体的行政核心 CCCR的领导力管理CCCR的财务方面，提供沟通和 向肌肉骨骼研究人员推广，并评估我们努力的成功。通过实现这些 目的，我们将提高获得专业知识和研究质量数据的访问，并通过开发来改善分析 用于分析临床数据的方法和管道，并应用和传播有关 进行严格的临床试验。我们的CCCR将能够为卫生系统提供有用的研究数据 然后，决策者将能够将研究结果应用于现实世界的决策。通过实现 这些目标，我们将促进医疗保健提供系统向真正的学习医疗保健系统的过渡。 最后，重要的是，我们将与培训计划一起培训下一代调查人员 上面概述的方法和方法。