Data and Modeling Core

数据和建模核心

• 批准号: 10132355
• 负责人: Jonathan Graham
• 金额: $ 40.78万
• 依托单位: UNIVERSITY OF MONTANA
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10132355
• 关键词: Academic Medical Centers; Address; Air; Area; Biometry; Centers for Population Health; Child; Child Health; Climate; Computerized Medical Record; Consult; Data; Data Analyses; Data Analytics; Data Science; Data Sources; Development; Electronic Health Record; Environmental Monitoring; Exposure to; Fire - disasters; Future; Geography; Health; High Performance Computing; Immunization; Individual; Laboratories; Manuscripts; Mathematics; Medical Records; Modeling; Montana; Outcome; Particulate Matter; Population; Preparation; Prevention Research; Prevention strategy; Provider; Records; Research; Research Personnel; Research Project Grants; Resolution; Resources; Risk; Rural; Rural Community; Rural Health; Science; Smoke; Structure; Testing; Time; Training; Vital Statistics; Wildfire; base; cluster computing; computing resources; data access; data acquisition; data centers; data management; data registry; data resource; demographics; disease transmission; fine particles; health data; improved; innovation; rural setting; sociodemographics; spatiotemporal; statistics; urban area

Project Summary/Abstract Montana is the most rural state in the West region, and improving overall health and reducing risks among rural children requires a comprehensive understanding of how prevention strategies can be developed for, adapted to, and tested in rural communities. Among the barriers faced by investigators addressing important rural health issues is the difficulty in accessing electronic medical records and other sensitive data sources outside an academic medical center. For the first time in Montana, the DM Core will provide a central resource for capture and management of electronic health records, vital statistics and other sensitive records across multiple providers and data sources. Another challenge faced by rural health investigators is that rural communities present unique challenges from a data analytics perspective. In particular, rural communities are more insular, more sparsely populated, have more limited environmental monitoring, and often have less access to health-related resources. Such factors will require innovative biostatistical and modeling approaches that are supported by high performance computing (HPC) capabilities. The DM Core will provide the biostastistical and modeling expertise as well as the HPC resources to address these challenges. Overall, the DM Core will provide the necessary data science, biostatistical, mathematical, and computational resources to successfully support and conduct prevention research for rural communities.

项目摘要/摘要 蒙大拿州是西部地区最农村国家，改善了整体健康状况并降低了风险 农村儿童需要全面了解如何制定预防策略 适应农村社区并进行了测试。在调查人员面对重要的障碍中 农村健康问题是访问电子病历和其他敏感数据来源的困难 在学术医疗中心外。 DM Core首次在蒙大拿州提供中心资源 为了捕获和管理电子健康记录，重要的统计数据和其他敏感记录 多个提供商和数据源。农村健康调查人员面临的另一个挑战是农村 社区从数据分析的角度提出了独特的挑战。特别是，农村社区是 更孤立，人口稀疏，环境监测更有限，并且通常较少 访问与健康相关的资源。这些因素将需要创新的生物统计和建模方法 高性能计算（HPC）功能支持的功能支持。 DM核心将提供 生物统计学和建模专业知识以及HPC资源以应对这些挑战。总体而言， DM Core将提供必要的数据科学，生物统计学，数学和计算资源 成功支持和为农村社区进行预防研究。