Data Management Core

数据管理核心

• 批准号: 10682165
• 负责人: Gabor T Marth
• 金额: $ 156.84万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-19 至 2028-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10682165
• 关键词: Acceleration; Adoption; Architecture; Archives; Artificial Intelligence; Automation; Benchmarking; Caring; Collaborations; Collection; Common Data Element; Communication; Computer software; Consent; Data; Data Collection; Data Coordinating Center; Data Reporting; Diagnosis; Diagnostic; Electronic Health Record; Engineering; Ensure; Environment; Environmental Exposure; Evaluation; Family; Fast Healthcare Interoperability Resources; Genetic; Genomics; Genotype; Human; Machine Learning; Metadata; Monitor; Nature; Online Systems; Ontology; Pathway Analysis; Patient Self-Report; Patients; Phase; PhenX Toolkit; Phenotype; Population; Precision therapeutics; Problem Solving; Process; Provider; Readability; Records; Reporting; Research; Research Personnel; Resolution; Science; Secure; Security; Service delivery model; Services; System; Therapeutic; Time; Triage; United States Department of Veterans Affairs; Update; Variant; Visualization; automated analysis; candidate identification; clinically relevant; cohort; data management; data quality; data submission; database of Genotypes and Phenotypes; design; electric impedance; empowerment; exome sequencing; flexibility; gene discovery; genome sequencing; genomic data; improved; innovation; multimodal data; non-genetic; novel; operation; outreach; participant enrollment; patient portal; patient subsets; repository; scale up; tool; transcriptome sequencing; web app; web page; web portal; web services

PROJECT SUMMARY To support diagnosis for a larger number of patients impacted by undiagnosed conditions, innovative software solutions are needed to streamline and scale operations. The Data Management Core of the Data Management Coordinating Center for Diagnostic Centers of Excellence will lead the design and implementation of these solutions, creating platforms to support and scale patient enrollment, data collection, and analysis. Having one central system will facilitate Network milestone and benchmark reporting as well as identification and resolution of data submission and quality issues over time. The platform will support collection and storage of multi-modal data data types and expand connectivity between clinicians, researchers, and patients, leading to collaborative problem-solving and rapid adoption of novel pipelines. The Data Management Core will focus on the following four specific aims as part of this project: 1) Scale up Network capacity with automation, AI-based tier triage/escalation, and centralized expert analysis, 2) Implement a two-way patient-facing portal to facilitate and enhance data collection and reporting as well as communication between the patient, their clinician, and the diagnostic team, 3) Develop a team-based communication and collaboration platform for effective analysis of network-level phenotype and genotype data, and 4) Integrate and harmonize tools across the Network platform.

项目摘要 为了支持受未诊断疾病影响的大量患者的诊断，创新软件 需要解决方案来简化和规模操作。数据的数据管理核心 卓越诊断中心的管理协调中心将领导设计和 实施这些解决方案，创建平台来支持和扩展患者的入学，数据收集， 和分析。拥有一个中央系统将有助于网络里程碑和基准报告以及 随着时间的推移，数据提交和质量问题的识别和解决。该平台将支持 收集和存储多模式数据数据类型，并扩大临床医生，研究人员之间的连通性 和患者，导致解决问题的合作解决方案，并快速采用新型管道。数据 管理核心将重点关注以下四个特定目标，作为该项目的一部分：1）扩展网络 具有自动化的能力，基于AI的分层/升级和集中专家分析，2）实施A 面向患者的双向门户，以促进和增强数据收集和报告以及通信 在患者，临床医生和诊断团队之间，3）建立基于团队的沟通和 合作平台，用于有效分析网络级表型和基因型数据，以及4）整合 并在网络平台上协调工具。