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
- 批准号:10646509
- 负责人:
- 金额:$ 116.46万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-05-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AddressApplications GrantsAreaBiomedical EngineeringCalibrationCellular PhoneChicagoClientClinicClinicalCollaborationsCommunitiesDataDatabasesDisabled PersonsDisease ProgressionEconomicsEducational process of instructingElementsEngineeringEnvironmentEvidence based practiceFeedbackFundingGoalsGrantHomeHospitalsHumanIndividualInfrastructureInstitutionInstructionInterventionKinesiologyLaboratoriesLearningLettersLevel of EvidenceLifeMeasuresMechanicsMentorsMentorshipMethodologyNetwork InfrastructureNeurosciencesOutcomeOutcome MeasurePatient Outcomes AssessmentsPatient-Focused OutcomesPatientsPerformancePhysical MedicinePhysical therapyPhysiologyPilot ProjectsProcessProliferatingPublicationsR24Rehabilitation therapyResearchResearch InfrastructureResearch PersonnelResourcesRobotSchoolsScientistSeasonsSenior ScientistStandardizationTechnologyTechnology AssessmentTestingTimeTranslational ResearchUnited States National Institutes of HealthUniversitiesVeteransVisitWorkclinically relevantcohortcommunity engagementcompliance behaviordesignexperienceexperimental studyimplementation scienceinsightnew technologynoveloperationpatient populationphysically handicappedprogramsrehabilitation researchrehabilitation sciencesabbaticalsensorsmart watchtechnology validationtreatment responseweb sitewebinar
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Summary-Overall
项目成果
期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Smartphone assessment uncovers real-time relationships between depressed mood and daily functional behaviors after stroke.
- DOI:10.1177/1357633x221100061
- 发表时间:2024-06
- 期刊:
- 影响因子:4.7
- 作者:Bui, Quoc;Kaufman, Katherine J.;Munsell, Elizabeth G. S.;Lenze, Eric J.;Lee, Jin-Moo;Mohr, David C.;Fong, Mandy W. M.;Metts, Christopher L.;Tomazin, Stephanie E.;Pham, V. Y.;Wong, Alex W. K.
- 通讯作者:Wong, Alex W. K.
Dual-Task Interference Effects on Lower-Extremity Muscle Activities during Gait Initiation and Steady-State Gait among Healthy Young Individuals, Measured Using Wireless Electromyography Sensors.
- DOI:10.3390/s23218842
- 发表时间:2023-10-31
- 期刊:
- 影响因子:0
- 作者:Waldon KT;Stout A;Manning K;Gray L;Wilson DG;Kang GE
- 通讯作者:Kang GE
Getting a Child a Myoelectric Prosthesis: Did We Miss the Bus?
给孩子安装肌电假肢:我们错过了公共汽车吗?
- DOI:10.1097/jpo.0000000000000437
- 发表时间:2022-07
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Task-based functional neuroimaging in infants: a systematic review.
- DOI:10.3389/fnins.2023.1233990
- 发表时间:2023
- 期刊:
- 影响因子:4.3
- 作者:Agyeman, Kofi;Mccarty, Tristan;Multani, Harpreet;Mattingly, Kamryn;Koziar, Katherine;Chu, Jason;Liu, Charles;Kokkoni, Elena;Christopoulos, Vassilios
- 通讯作者:Christopoulos, Vassilios
Digital Biomarkers of Gait and Balance in Diabetic Foot, Measurable by Wearable Inertial Measurement Units: A Mini Review.
- DOI:10.3390/s22239278
- 发表时间:2022-11-29
- 期刊:
- 影响因子:0
- 作者:Kang GE;Stout A;Waldon K;Kang S;Killeen AL;Crisologo PA;Siah M;Jupiter D;Najafi B;Vaziri A;Lavery LA
- 通讯作者:Lavery LA
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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
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:
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:
$ 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: