Center for Smart Use of Technology to Assess Real-world Outcomes (C-STAR)

智能运用技术评估现实世界成果中心 (C-STAR)

基本信息

项目摘要

Project Summary—Overall We propose a national infrastructure center entitled “Center for Smart Use of Technologies to Assess Real- World Outcomes (C-STAR)” that directly addresses priority area #6 from RFA HD-20-04: “Technology to Track Real-World Outcomes.” Leveraging the collective experience of our clinicians, scientists, engineers, and patients, our program will provide the expertise, instruction, and mentoring to support the smart (i.e., appropriate, accurate, and clinically meaningful) use of technology to assess performance in the laboratory (e.g., by providing design insight for a new sensor), in the clinic (e.g., by teaching proper selection and placement of sensors on a patient's body) and in the community (e.g., by guiding investigators on appropriate, validated patient reported outcome measures to evaluate technology). By measuring performance across these domains, rehabilitation researchers and clinicians will be able to both track real-world outcomes and investigate mechanisms underlying response to therapy or disease progression. A compelling need for rehabilitation research infrastructure exists in this area because of: (1) the huge proliferation of sensors and other technologies that make it easy to “acquire data” without the necessary expertise to validate, interpret, and establish the clinical relevance of these data, (2) the need to quantify and standardize outcomes—to not just understand clinical outcomes but to provide important economic and societal perspectives, and (3) the need to customize, validate, standardize, and calibrate technologies in the context of specific patients' needs and abilities, which often requires access to particular patient cohorts. Our four cores—engineering, clinical, outcomes, and implementation Science/community engagement—will provide the necessary expertise to allow C-STAR clients to develop, test, validate, and standardize the use of new and existing technologies to track real-world outcomes across many disabling conditions. C-STAR clients will be individuals or teams who would like to use technology to measure performance of individuals with physical disabilities. We will provide numerous didactic, hands-on, visitation, pilot funding, and advisory resources to support C-STAR clients. We will connect with our clients through our C-STAR website and our proprietary Rehabilitation Measures Database (RMD) website (www.rehabmeasures.org) that currently averages 11,000 unique page visits per day from likely C-STAR clients. The resources C-STAR offers to the rehabilitation community include its leaders, who have 20 years of cumulative experience with the R24 national infrastructure network, and other senior scientists who experienced in the application of technology to help medical rehabilitation patients and mentorship of junior researchers. C- STAR exploits the extraordinary environment and resources of our new translational research hospital, the Shirley Ryan AbilityLab (SRAlab, formerly the Rehabilitation Institute of Chicago, RIC) as well as the collegial and fruitful collaborations developed over the past 30 years between the RIC/SRAlab and Northwestern University.
项目摘要--总体 我们建议成立一个名为“智能使用技术评估中心”的国家基础设施中心。 世界成果(C-STAR)“,直接涉及RFA HD-20-04的优先领域#6:”跟踪技术“ 现实世界的结果。利用我们的临床医生、科学家、工程师和 对于患者,我们的计划将提供专业知识、指导和指导,以支持SMART(即,适当、 准确的,临床上有意义的)使用技术评估实验室的表现(例如,通过 为新传感器提供设计洞察力),在临床上(例如,通过教授正确选择和放置 患者身体上的传感器)和社区(例如,通过引导调查人员在适当的、经过验证的 患者报告的结果衡量标准以评估技术)。通过衡量这些领域的性能, 康复研究人员和临床医生将能够跟踪真实世界的结果并调查 对治疗或疾病进展的潜在反应机制。对康复的迫切需求 在这一领域存在研究基础设施是因为:(1)传感器和其他技术的巨大扩散 这使得在没有必要的专业知识来验证、解释和建立临床数据的情况下,可以轻松地“获取数据” 这些数据的相关性,(2)量化和标准化结果的需要--不仅仅是为了了解临床 结果,但提供重要的经济和社会观点,以及(3)需要定制、验证、 根据特定患者的需求和能力标准化和校准技术,这通常 需要接触到特定的患者队列。我们的四个核心-工程、临床、结果和 实施科学/社区参与-将提供必要的专业知识,使C-STAR客户 开发、测试、验证和标准化新技术和现有技术的使用,以跟踪实际结果 在许多令人无法忍受的情况下。C-Star客户将是希望使用技术的个人或团队 以衡量肢体残疾人士的表现。我们将提供无数说教的、动手的、 访问、试点资金和咨询资源,以支持C-Star客户。我们将与我们的客户保持联系 通过我们的C-STAR网站和我们专有的康复措施数据库(RMD)网站 (www.rehabmeasures.org),目前可能的C星客户平均每天有11,000次独立页面访问。 C-STAR为康复社区提供的资源包括其领导人,他们有20年的 积累了R24国家基础设施网络的经验,以及其他经验丰富的资深科学家 在应用技术方面帮助医疗康复患者和初级科研人员的辅导。丙- STAR利用我们新成立的翻译研究医院的非凡环境和资源 雪莉·瑞安能力实验室(SRALab,前芝加哥康复研究所,RIC)以及大学 在过去的30年里,RIC/SRALab和西北大学之间开展了卓有成效的合作 大学。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Richard L. Lieber其他文献

Modeling implications of the relationship between active and passive skeletal muscle mechanical properties
  • DOI:
    10.1016/j.jbiomech.2024.112423
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Richard L. Lieber;Zheng Wang;Benjamin I. Binder-Markey;Lomas S. Persad;Alexander Y. Shin;Kenton R. Kaufman
  • 通讯作者:
    Kenton R. Kaufman
Resonant Reflection Spectroscopy and Optical Interferometry to Measure Sarcomere Structure in Muscle
  • DOI:
    10.1016/j.bpj.2017.11.766
  • 发表时间:
    2018-02-02
  • 期刊:
  • 影响因子:
  • 作者:
    Kevin W. Young;Bill P.-P. Kuo;Shawn M. O'Connor;Stojan Radic;Richard L. Lieber
  • 通讯作者:
    Richard L. Lieber
Intermediate Filament and Ecm Mechanics Deduced from Desmin Knockout Muscles
  • DOI:
    10.1016/j.bpj.2009.12.2957
  • 发表时间:
    2010-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Gretchen A. Meyer;Andrew D. McCulloch;Samuel R. Ward;Richard L. Lieber
  • 通讯作者:
    Richard L. Lieber
Erratum to: Architectural design of the pelvic floor is consistent with muscle functional subspecialization
  • DOI:
    10.1007/s00192-014-2589-1
  • 发表时间:
    2014-11-29
  • 期刊:
  • 影响因子:
    1.800
  • 作者:
    Lori J. Tuttle;Olivia T. Nguyen;Mark S. Cook;Marianna Alperin;Sameer B. Shah;Samuel R. Ward;Richard L. Lieber
  • 通讯作者:
    Richard L. Lieber
<span class="small-caps">Stretch-induced satellite cell deformation in</span> <span class="small-caps">contractured</span> <span class="small-caps">muscles in children with cerebral palsy</span>
  • DOI:
    10.1016/j.jbiomech.2021.110635
  • 发表时间:
    2021-09-20
  • 期刊:
  • 影响因子:
  • 作者:
    Peter B. Dykstra;Sudarshan Dayanidhi;Henry G. Chambers;Richard L. Lieber
  • 通讯作者:
    Richard L. Lieber

Richard L. Lieber的其他文献

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{{ truncateString('Richard L. Lieber', 18)}}的其他基金

Center for Smart Use of Technology to Assess Real-world Outcomes (C-STAR)
智能运用技术评估现实世界成果中心 (C-STAR)
  • 批准号:
    10155540
  • 财政年份:
    2020
  • 资助金额:
    $ 116.46万
  • 项目类别:
Pilot Studies Component
试点研究部分
  • 批准号:
    10646515
  • 财政年份:
    2020
  • 资助金额:
    $ 116.46万
  • 项目类别:
Center for Smart Use of Technology to Assess Real-world Outcomes (C-STAR)
智能运用技术评估现实世界成果中心 (C-STAR)
  • 批准号:
    10646509
  • 财政年份:
    2020
  • 资助金额:
    $ 116.46万
  • 项目类别:
Pilot Studies Component
试点研究部分
  • 批准号:
    10155546
  • 财政年份:
    2020
  • 资助金额:
    $ 116.46万
  • 项目类别:
Pilot Studies Component
试点研究部分
  • 批准号:
    10405440
  • 财政年份:
    2020
  • 资助金额:
    $ 116.46万
  • 项目类别:
RR&D Senior Research Career Scientist Award Application
RR
  • 批准号:
    10710389
  • 财政年份:
    2019
  • 资助金额:
    $ 116.46万
  • 项目类别:
RR&D Senior Research Career Scientist Award Application
RR
  • 批准号:
    10531877
  • 财政年份:
    2019
  • 资助金额:
    $ 116.46万
  • 项目类别:
RR&D Senior Research Career Scientist Award Application
RR
  • 批准号:
    10041712
  • 财政年份:
    2019
  • 资助金额:
    $ 116.46万
  • 项目类别:
Transforming Neuromuscular Diagnosis and Treatment by Virtual Muscle Biopsy (VBx)
通过虚拟肌肉活检 (VBx) 改变神经肌肉诊断和治疗
  • 批准号:
    9911192
  • 财政年份:
    2019
  • 资助金额:
    $ 116.46万
  • 项目类别:
Optimal Dosing Regimen to Recover from Muscle Atrophy
从肌肉萎缩中恢复的最佳剂量方案
  • 批准号:
    10382211
  • 财政年份:
    2019
  • 资助金额:
    $ 116.46万
  • 项目类别:
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