课题基金 / 基金详情

Intelligent Data Capture and Assessment Technology for Developmental Disabilities

Intelligent Data Capture and Assessment Technology for Developmental Disabilities
针对发育障碍的智能数据采集和评估技术
批准号:
8396293
负责人:
Ronald Oberleitner
金额:
$74.49万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-04-01 至 2015-07-31

项目摘要

项目成果

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中文摘要
翻译
描述(由申请人提供):这项拟议的SBIR第二阶段续订将利用佐治亚理工学院学术合作者的技术专长以及与行为健康专业人员建立的持续关系,为我们现有的行为成像(R)远程医疗系统引入关键技术创新,并在与自闭症谱系障碍相关的两个临床评估环境中评估增强型系统。这些技术创新将显著提高我们系统的易部性和临床实用性,从而产生更具商业可行性的产品。拟议项目的具体目标是:(1)对行为捕获进行硬件和软件修改,在商用智能手机上简化视频捕获,以及新颖的交互功能,包括目标行为的标签和标记适当记录的示例的能力;(2)通过设计模块来优化他们的工作流程并减少培训需求,改善临床医生的在线行为连接远程医疗系统的体验;以及(3)进行两项临床研究,以展示技术创新如何影响临床决策。第一项研究将与亚利桑那州的西南自闭症研究与资源中心(SARRC)合作进行,并将评估该技术的使用,以使用父母在家中录制的视频来简化自闭症的诊断过程。第二项研究将与佐治亚州的马库斯自闭症中心合作进行,并将再次基于照顾者捕获的家庭中儿童行为的视频,评估该技术用于评估问题行为的严重性和功能。关怀技术公司(现为行为成像解决方案公司)成功地进行了第一阶段和第二阶段的研究,以部分开发和评估其行为成像(R)远程健康技术的研究效果,以促进数据收集和远程咨询/监督,为在课堂上治疗自闭症和其他行为障碍的特殊教育工作者和临床医生提供便利。该公司随后成功推出了行为成像(R)咨询平台,在没有机构投资的情况下,2010年产生了90万美元的收入,主要用于(1)捕获和跟踪有特殊需要的学生的进度,以及(2)远程监督家庭行为治疗的提供。我们预计,拟议的增强系统一旦在本提案中描述的临床研究中得到验证,将被自闭症研究和临床社区广泛采用,并将显著改善患有自闭症和发育障碍的儿童及其家庭获得护理的机会。 公共卫生相关性:我们打算通过硬件/软件创新显著增强我们现有的远程医疗系统,并验证其在两个重要的自闭症使用案例中的临床表现。根据用户对我们现有系统的反馈进行的改进将产生比我们现在拥有的更广泛的商业可接受的产品。
英文摘要
DESCRIPTION (provided by applicant): This proposed SBIR Phase II renewal will leverage the technical expertise of academic collaborators at Georgia Institute of Technology and ongoing relationships forged with behavioral health professionals to introduce key technical innovations to our existing Behavior Imaging(R) telehealth system, and evaluate the enhanced system in two clinical assessment settings relevant to Autism Spectrum Disorders. These technical innovations will significantly improve ease of deployment and clinical utility of our system, resulting in a far more commercially viable product. The specific aims of the proposed project are: (1) To introduce hardware and software modifications to Behavior Capture, with simplified video capture on commodity smartphones and novel interactive features, including tags for target behaviors and the ability to flag examples of appropriate recordings; (2) To improve clinicians' experience with our online Behavior Connect telehealth system through the design of modules that optimize their workflow and reduce the need for training, and (3) To conduct two clinical studies to demonstrate how the technology innovations impact clinical decision-making. The first of these studies will be conducted in collaboration with the Southwest Autism Research & Resource Center (SARRC) in Arizona, and will evaluate the use of the technology to streamline the process of diagnosis for autism using videos recorded by parents in the home. The second study will be conducted in collaboration with the Marcus Autism Center in Georgia, and will evaluate the use of the technology for assessment of severity and function of problem behavior, again, based on caregiver captured video of child behavior in the home. Caring Technologies (now Behavior Imaging Solutions) successfully executed its Phase I and II research studies to partially develop and evaluate the research efficacy of its Behavior Imaging(R) telehealth technology to facilitate data collection and remote consultation/supervision for special educators and clinicians treating autism and other behavior disorders in classrooms. The company subsequently successfully launched its Behavior Imaging(R) consultation platform, and without institutional investment, generated 900K in revenue in 2010 for the technology's use primarily for (1) capturing and tracking the progress of special needs students, and (2) remotely supervising the delivery of in-home behavioral treatment. We anticipate that the proposed enhanced system, once validated in the clinical studies described in this proposal, will be adopted widely by the autism research and clinical community, and will significantly improve access to care among children with autism and developmental disabilities, as well as their families. PUBLIC HEALTH RELEVANCE: We intend to significantly enhance our existing telehealth system with hardware/software innovations and to validate its clinical performance for two important autism use cases. Enhancements based upon user feedback of our existing system will result in a far wider commercially acceptable product than we now have.
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会议论文
Transforming Hospitalizations of Autistic Adolescents via a Novel ABA Telehealth Platform
  • 批准号:
    10760972
  • 项目类别:
  • 资助金额:
    $74.08万
  • 财政年份:
    2023
  • 负责人:
    Ronald Oberleitner
  • 依托单位:
Deep Learning to Transform Clinician Autism Diagnostic Assessments and More
  • 批准号:
    9608820
  • 项目类别:
  • 资助金额:
    $44.1万
  • 财政年份:
    2017
  • 负责人:
    Ronald Oberleitner
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NODA Autismo - Naturalistic Observation Diagnostic Assessment Autism Diagnosis for Spanish-language families
  • 批准号:
    9390377
  • 项目类别:
  • 资助金额:
    $9.32万
  • 财政年份:
    2015
  • 负责人:
    Ronald Oberleitner
  • 依托单位:
Combining Autism Telehealth and Screening Technologies for Earlier Diagnostic Assessments
  • 批准号:
    10080765
  • 项目类别:
  • 资助金额:
    $79.92万
  • 财政年份:
    2015
  • 负责人:
    Ronald Oberleitner
  • 依托单位:
海外基金