I3DEAL for HIV Research

I3DEAL 用于艾滋病毒研究

• 批准号: 8720831
• 负责人: SUZANNE BAKKEN
• 金额: $ 8万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-13 至 2016-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8720831
• 关键词: Academic Medical Centers; Address; Agreement; Algorithms; Clinical; Clinical Data; Collection; Data; Data Provenance; Data Set; Databases; Development; Etiology; Funding; HIV; HIV Seropositivity; Healthcare; Healthcare Systems; Height; Individual; Informatics; Information Systems; Knowledge; Learning; Logical Observation Identifiers Names and Codes; Longitudinal Studies; Measurement; Measures; Outcome; Patient Outcomes Assessments; Patients; Policies; Postdoctoral Fellow; Presbyterian Church; Prevention; Procedures; Qualifying; Research; Research Infrastructure; Research Personnel; Resolution; Semantics; Standardization; Structure; System; Terminology; Testing; Underserved Population; United States Agency for Healthcare Research and Quality; Washington; algorithmic methodologies; clinical data warehouse; comparative effectiveness; daily functioning; data integration; data sharing; effective intervention; effectiveness research; electronic data; experience; innovation; interoperability; meetings; neurobehavioral; novel; prospective; psychosocial; public health relevance; research study; syntax; tool

DESCRIPTION (provided by applicant): Data collected in past and ongoing research studies have the potential to increase knowledge of etiology and trajectories of HIV-associated neurobehavioral and psychosocial consequences on activities of daily functioning and to serve as a guide in the development of novel, high quality, effective interventions for the prevention and treatment of these consequences. However, few efforts have been made to combine data across studies. Although such efforts would significantly increase the value of the collected data to address HIV-related questions, several technical and non-technical barriers exist. We have addressed such barriers in the AHRQ-funded Washington Heights Inwood Informatics Infrastructure for Comparative Effectiveness Research (WICER) and its successor (WICER 4 U) and we build upon these experiences to create the Innovative Informatics Infrastructure to Support Data Integration Exploration and Analysis for Longitudinal Studies (I3DEAL) for HIV Research. Although data sharing among heterogeneous healthcare systems in a manner in which all data are understood by both the sending and receiving systems (i.e., semantic interoperability) has not been achieved, significant progress has been made and there is agreement that syntactic approaches are insufficient for this purpose. Semantic approaches are particularly relevant to I3DEAL for HIV Research for multiple reasons including the fact that we will be integrating not only heterogeneous HIV research data sets, but also de-identified clinical data from the WICER Research Data Warehouse (RDW) and the NewYork-Presbyterian Columbia University Medical Center (NYP-CUMC) RDW, to create the I3DEAL for HIV Research RDW. Because of extensive expertise in informatics and HIV including its neurobehavioral and psychosocial consequences, our research team is uniquely qualified to achieve the specific aims of I3DEAL for HIV Research which are to: 1. Implement semantic approaches to formally represent and integrate the items from a diverse collection of existing HIV longitudinal data sets to create the I3DEAL for HIV Research RDW. 2. Apply and refine innovative algorithmic methods to discover HIV negative individuals from the WICER RDW and NYP-CUMC RDW to create a common database of neurobehavioral and psychosocial norms for integration into the I3DEAL for HIV Research RDW. 3. Refine Research Data Explorer (RedX) to meet the needs of HIV investigators. The primary products of I3DEAL for HIV Research will be the I3DEAL for HIV Research RDW including the common database of neurobehavioral and psychosocial norms, two informatics tools refined for HIV research: the Statistical CorRection of Uncharacterized Bias (SCRUB) algorithm and RedX query tool, and data governance policies and procedures.

描述（申请人提供）：过去和正在进行的研究中收集的数据有可能提高对艾滋病毒相关的神经行为和心理社会影响的知识以及对日常功能活动的影响，并作为新颖，高质量，有效的预防和治疗这些后果的新型，高质量，有效的干预措施的指导。但是，很少有努力在整个研究中结合数据。尽管这种努力将大大增加收集的数据以解决与HIV相关问题的价值，但存在几种技术和非技术障碍。我们已经解决了AHRQ资助的华盛顿高地Inwood Inwood信息学基础架构（WICER）及其后继（WICER 4 U）的障碍，我们基于这些经验来建立这些经验，以创建创新的信息学基础架构，以支持HIV研究（I3DDEAL）的数据集成探索和分析。尽管尚未通过发送和接收系统（即语义互操作性）来理解所有数据的方式之间的数据共享，但已经取得了重大进展，并且达成共识，即句法方法不足以实现此目的。出于多种原因，语义方法与I3DEAL有关HIV研究特别相关，包括我们将不仅将WICER研究数据仓库（RDW）和Newyork-Presbyterian哥伦比亚大学哥伦比亚大学医学中心（NYP-CUMC）的WICER研究数据仓库（RDW）的临床数据进行取消鉴定的临床数据，以下事实包括我们将识别的临床数据。由于在信息学和HIV方面具有广泛的专业知识，包括其神经行为和心理社会后果，我们的研究团队具有独特的资格，可以实现I3DEAL用于HIV研究的特定目标，该研究是：1。实施语义方法，以形式上代表和整合现有HIV Longitudinal数据集合的项目，以创建HIV研究，以创建HIV i3deal，以创建HIV hiv hiv。 2。应用和完善创新算法方法来发现WICER RDW和NYP-CUMC RDW中的HIV负面个体，以创建神经行为和心理社会的常见数据库，以整合到HIV研究RDW的I3Deal中。 3。完善研究数据资源管理器（REDX），以满足艾滋病毒研究者的需求。 The primary products of I3DEAL for HIV Research will be the I3DEAL for HIV Research RDW including the common database of neurobehavioral and psychosocial norms, two informatics tools refined for HIV research: the Statistical CorRection of Uncharacterized Bias (SCRUB) algorithm and RedX query tool, and data governance policies and procedures.