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Scalable Architecture for Federated Therapeutic Inquiries Network (SAFTINet)

Scalable Architecture for Federated Therapeutic Inquiries Network (SAFTINet)
联合治疗查询网络 (SAFTINet) 的可扩展架构
批准号:
8044354
负责人:
LISA M SCHILLING
金额:
$830.95万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2013-09-29

项目摘要

项目成果

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中文摘要
翻译
描述(由申请者提供):该项目的总体目标是加强以安全网为重点的分布式研究网络的能力和能力,以通过一个多背景、多国家的组织进行前瞻性的比较有效性研究。联邦翻译查询网络的可扩展体系结构(SAFTINet)将联合地理上分散的安全网实体,这些实体共同服务于明显不同的未得到服务的人群。SAFTINet将利用和扩展分布式动态治疗研究网络(DARTNet)已有的治理和技术能力,为参与者提供更灵活的选择和改进的网格技术。这一多州项目将使研究人员、卫生政策专家、支付者和临床医生能够通过支持观察性比较有效性研究,更好地了解各种卫生保健干预措施对少数族裔、服务不足和社会经济不利人群的健康结果的影响。我们将建立一个专门针对上述人群的学习社区,并建立安全技术,使授权和认证的利益攸关方能够回答有关从治疗选择到护理提供选择等问题的重要问题。这项建议的具体目标是:“建立一个广泛的、以安全网为重点的研究伙伴关系和学习社区,以管理关系,确定优先事项,提供数据质量监督,并评估利用DARTNet已建立的治理结构的社区努力的目的和价值”扩展DARTNet框架,以建立、部署和评估以安全网为重点的分布式研究网络,该网络将门诊和住院患者的临床数据和医疗补助申请以及临床和研究资格数据结合在一起。发展和加强四对前哨队列对哮喘患者(儿童和成人)、高血压和高胆固醇血症患者的护理提供特征,以支持比较有效的研究 公共卫生相关性:这一跨州项目将使研究人员、卫生政策专家、支付者和临床医生更好地了解各种卫生保健干预措施对少数族裔、服务不足和社会经济不利人群的健康结果的影响。我们将建立一个专门针对上述人群的学习社区,并建立一种安全的技术,使授权和认证的利益攸关方能够回答有关从治疗选择到护理提供选择等问题的重要问题。
英文摘要
DESCRIPTION (provided by applicant): The overall goals of this project are to enhance the capacity and capability of a safety net focused distributed research network to conduct prospective comparative effectiveness research via a multi-setting, multi-state organization. The Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) will federate geographically dispersed safety net entities that collectively serve markedly diverse underserved populations. SAFTINet will both leverage and extend the established governance and technologic capabilities of the Distributed Ambulatory Research in Therapeutics Network (DARTNet) to allow more flexible options for participants and improved grid technology. This multi-state project will allow researchers, health policy experts, payers, and clinicians to better understand the impact of a wide variety of health care interventions on health outcomes for minority, underserved and socioeconomically disadvantage populations by supporting observational comparative effectiveness research. We will assemble a learning community dedicated to the aforementioned populations and build secure technology to allow authorized and authenticated stakeholders to answer important questions regarding issues ranging from treatment options to care delivery options. The Specific Aims of this proposal are to: " Establish a broad, safety-net focused, research partnership and learning community to govern relationships, establish priorities, provide data quality oversight, and evaluate the purpose and value of the community's effort that leverages the established governance structure of DARTNet " Extend the DARTNet framework to build, deploy and assess a safety-net focused distributed research network which combines ambulatory and inpatient clinical data and Medicaid claims and eligibility data for clinical and research purposes " Develop and enhance four sentinel cohort pairs of patients with asthma (pediatric and adult), hypertension, and hypercholesterolemia distinguished by their care delivery characteristics that can support comparative effectiveness research PUBLIC HEALTH RELEVANCE: This multi-state project will allow researchers, health policy experts, payers, and clinicians to better understand the impact of a wide variety of health care interventions on health outcomes for minority, underserved and socioeconomically disadvantage populations. We will assemble a learning community dedicated to the aforementioned populations and build a secure technology to allow authorized and authenticated stakeholders to answer important questions regarding issues ranging from treatment options to care delivery options.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
DOI: 10.13063/2327-9214.1032
发表时间: 2013
期刊: EGEMS (Washington, DC)
影响因子: --
作者: [Sills MR, Kwan BM, Yawn BP, Sauer BC, Fairclough DL, Federico MJ, Juarez-Colunga E, Schilling LM]
通讯作者: Schilling LM
DOI: 10.13063/2327-9214.1027
发表时间: 2013
期刊: EGEMS (Washington, DC)
影响因子: --
作者: [Schilling LM, Kwan BM, Drolshagen CT, Hosokawa PW, Brandt E, Pace WD, Uhrich C, Kamerick M, Bunting A, Payne PR, Stephens WE, George JM, Vance M, Giacomini K, Braddy J, Green MK, Kahn MG]
通讯作者: Kahn MG
An Interoperable, Reusable and Scalable Shared Decision Aid Navigator System: Supporting the 5 Rights of Patient Shared Decision-Making
  • 批准号:
    10675562
  • 项目类别:
  • 资助金额:
    $100.0万
  • 财政年份:
    2022
  • 负责人:
    LISA M SCHILLING
  • 依托单位:
SAFTINet: Optimizing Value and Achieving Sustainability
  • 批准号:
    8688718
  • 项目类别:
  • 资助金额:
    $72.27万
  • 财政年份:
    2013
  • 负责人:
    LISA M SCHILLING
  • 依托单位:
海外基金