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.
项目概要-总体 我们建议建立一个名为“技术智能使用中心”的国家基础设施中心,以评估真实的- 世界成果(C-STAR)”,直接解决RFA HD-20-04中的优先领域#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 患者,我们的计划将提供专业知识,指导和指导,以支持智能(即,适当的, 准确的,和临床上有意义的)使用技术来评估实验室中的性能(例如,通过 为新传感器提供设计见解),在临床中(例如,通过教导正确的选择和放置 患者身体上的传感器)和社区(例如,通过指导研究者进行适当的、经验证的 患者报告结果测量以评价技术)。通过衡量这些领域的业绩, 康复研究人员和临床医生将能够跟踪现实世界的结果, 对治疗的反应或疾病进展的潜在机制。迫切需要康复 这一领域的研究基础设施之所以存在,是因为:(1)传感器和其他技术的大量扩散 这使得它很容易“获取数据”,而无需必要的专业知识来验证,解释和建立临床 这些数据的相关性,(2)需要量化和标准化结果-不仅要了解临床 结果,但提供重要的经济和社会观点,和(3)需要定制,验证, 标准化,并根据特定患者的需求和能力校准技术, 需要访问特定的患者队列。我们的四大核心-工程、临床、结果和 实施科学/社区成就-将提供必要的专业知识,让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,以跟踪现实世界的结果 在许多残疾条件下。C-STAR客户将是希望使用技术的个人或团队 来衡量身体残疾人士的表现。我们将提供大量的教学,动手, 访问,试点资金和咨询资源,以支持C-STAR客户。我们将与客户建立联系 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),目前平均每天有11,000个来自可能的C-STAR客户的独特页面访问。 C-STAR为康复社区提供的资源包括其领导人,他们有20年的经验, R24国家基础设施网络的累积经验,以及其他经验丰富的资深科学家 在应用技术帮助医疗康复患者和指导初级研究人员方面。C型 星星利用我们新的转化研究医院的非凡环境和资源, Shirley Ryan AbilityLab(SRAlab,前身为芝加哥康复研究所,RIC)以及学院 在过去的30年里,RIC/SRAlab和西北大学之间建立了富有成效的合作关系 大学

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(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
Biochemical Diversity of Human Skeletal Muscle
  • DOI:
    10.1016/j.bpj.2011.11.791
  • 发表时间:
    2012-01-31
  • 期刊:
  • 影响因子:
  • 作者:
    Timothy F. Tirrell;Mark Cook;John A. Carr;Anthony J. Choi;Evie Lin;Mary C. Esparza;Samuel R. Ward;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

Pilot Studies Component
试点研究部分
  • 批准号:
    10646515
  • 财政年份:
    2020
  • 资助金额:
    $ 106.12万
  • 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:
    10405432
  • 财政年份:
    2020
  • 资助金额:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 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:
    $ 106.12万
  • 项目类别:
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