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: 8732970
• 负责人: Ronald Oberleitner
• 金额: $ 32.28万
• 依托单位: CARING TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8732970
• 关键词: Address; Adopted; Adoption; Arizona; Autistic Disorder; Behavior; Behavior Disorders; Behavior Therapy; Behavior assessment; Caregivers; Caring; Child; Child Behavior; Clinic; Clinical; Clinical Research; Clinical assessments; Collaborations; Collection; Communication; Communities; Computer software; Consultations; Data; Data Collection; Decision Making; Development; Developmental Disabilities; Devices; Diagnosis; Diagnostic; Environment; Evaluation; Family; Feedback; Gold; Grant; Health Professional; Health Services Accessibility; Home environment; Image; Improve Access; Institutes; Intake; Internet; Investments; Laboratories; Learning; Methods; Modification; Outcome; Parents; Performance; Persons; Phase; Pilot Projects; Population; Positioning Attribute; Problem behavior; Procedures; Process; Remote Consultation; Research; Resources; Savings; Severities; Small Business Innovation Research Grant; Solutions; Students; Supervision; System; Technical Expertise; Technology; Technology Assessment; Teleconsultations; Telephone; Time; Training; Video Recording; Waiting Lists; Workload; autism spectrum disorder; base; behavioral health; clinical decision-making; clinical research site; commercialization; design; efficacy research; experience; flexibility; forging; improved; innovation; laptop; novel; operation; public health relevance; research study; service intervention; success; task analysis; technology development; telehealth; telehealth systems; tool

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.

描述（由申请人提供）：这项拟议的SBIR II期更新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的系统。这些技术创新将显著提高系统部署的便利性和临床实用性，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)引入对行为捕获的硬件和软件修改，通过简化商品智能手机上的视频捕获和新颖的交互功能，包括目标行为的标签和标记适当记录示例的能力；(2)通过设计优化工作流程和减少培训需求的模块，改善临床医生使用我们的在线Behavior Connect远程医疗系统的体验；(3)开展两项临床研究，以证明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，并将通过父母在家中录制的视频来评估该技术在简化自闭症诊断过程中的应用。第二项研究将与乔治亚州的马库斯自闭症中心合作进行，并将评估该技术在评估问题行为的严重性和功能方面的应用，同样，基于看护人在家中拍摄的儿童行为视频。Caring Technologies（现为行为成像解决方案）成功地开展了第一阶段和第二阶段的研究，部分开发和评估其行为成像(R)远程保健技术的研究效果，以便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数据收集和远程咨询/监督。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，该技术在2010年产生了90万美元的收入，主要用于(1)捕捉和跟踪特殊需求学生的进步，以及(2)远程监督家庭行为治疗的交付。我们预计，一旦在本提案中描述的临床研究中得到验证，所提出的增强系统将被自闭症研究和临床界广泛采用，并将显著改善自闭症和发育障碍儿童及其家庭获得护理的机会。