Methodologic Core

方法论核心

基本信息

批准号：
9979769
负责人：
PATRICK J HEAGERTY
金额：
$ 15.27万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-21 至 2022-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9979769
关键词：
Adopted Algorithms Biomedical Research Characteristics Clinic Clinical Informatics Clinical Research Clinical Services Clinical Trials Code Collaborations Collection Computerized Medical Record Conduct Clinical Trials Data Data Collection Data Science Development Diagnosis Diagnostic Disease Dose Elements Fostering Foundations Goals Health Services Research Health Technology Informatics Information Retrieval Infrastructure International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10)Lead Leadership Machine Learning Medical Imaging Methodology Methods Mission Modernization Monitor Musculoskeletal Musculoskeletal Diseases National Institute of Arthritis and Musculoskeletal and Skin Diseases Natural Language Processing Outcome Patient Care Patient Outcomes Assessments Patients Pharmaceutical Preparations Pharmacy facility Phase Phenotype Positioning Attribute Pragmatic clinical trial Prevention Procedures Process Provider Radiology Specialty Randomized Reporting Reproducibility Research Research Design Secure Statistical Methods Structure System Telephone Universities Use Effectiveness Visualization software Washington clinical center comparative effectiveness computerized data processing convolutional neural network data management data quality data visualization design electronic structure flexibility health care delivery health care service utilization image processing mHealth machine learning method novel operation patient subsets quality assurance research data dissemination statistics trial design

项目摘要

The goal of the Methodologic Core is to support high-impact clinical research focusing on the diagnosis, treatment, and prevention of musculoskeletal diseases. Specifically, the Methodologic Core will provide the contemporary data science infrastructure necessary for studies that leverage electronic medical records (EMR), and for trials that collect patient reported outcomes. We will organize around three major activities: rigorous and novel study designs; secondary use of EMR data for research; and primary data collection and pragmatic clinical trial conduct. In particular, the linkage of multiple EMR systems is opening new opportunities for large-scale clinical research, but also demands new methods for the extraction of reliable information, and for the design of trials that can tailor to the characteristics of patients and health care delivery systems. The University of Washington Center for Biomedical Statistics (CBS) has provided informatics and statistical leadership to multiple observational and randomized studies focusing on musculoskeletal disorders, and is uniquely positioned to provide the foundation for expanded impact within the broad scope of the NIAMS mission.

方法学核心的目的是支持高影响的临床研究，重点是诊断，治疗和预防肌肉骨骼疾病。具体而言，方法论核心将为研究提供当代数据科学基础架构利用电子病历（EMR），以及用于收集患者报告结果的试验。我们将组织三个主要活动：严格而新颖的研究设计；次要使用研究的EMR数据；以及主要数据收集和务实的临床试验。在特别是，多个EMR系统的链接为大规模开放了新的机会临床研究，但也需要新的方法来提取可靠信息，以及为了设计可以根据患者的特征和医疗保健提供的试验的设计系统。华盛顿大学生物医学统计中心（CBS）提供了多个观察和随机研究的信息学和统计领导在肌肉骨骼疾病上，并且位置为扩展的基础。在NIAMS任务的广泛范围内的影响。