4.3 Article

An Integrated Telehealth System for Remote Administration of an Adult Autism Assessment

期刊

TELEMEDICINE AND E-HEALTH
卷 19, 期 2, 页码 88-94

出版社

MARY ANN LIEBERT INC
DOI: 10.1089/tmj.2012.0104

关键词

telemental health; telepsychiatry; telerehabilitation; telehealth; telemedicine; telecare; autism; assessment

资金

  1. National Institute on Disability and Rehabilitation Research's Rehabilitation Engineering Research Center on Telerehabilitation [H133E040012, H133E980025]
  2. Pennsylvania Department of Public Welfare's Autism Service, Education, Research, and Training project

向作者/读者索取更多资源

We developed a telehealth system to administer an autism assessment remotely. The remote assessment system integrates videoconferencing, stimuli presentation, recording, image and video presentation, and electronic assessment scoring into an intuitive software platform. This is an advancement over existing technologies used in telemental health, which currently require several devices. The number of children, adolescents, and adults with autism spectrum disorders (ASDs) has increased dramatically over the past 20 years and is expected to continue to increase in coming years. In general, there are not many clinicians trained in either the diagnosis or treatment of adults with ASD. Given the number of adults with autism in need, a remote assessment system can potentially provide a solution to the lack of trained clinicians. The goal is to make the remote assessment system as close to face-to-face assessment as possible, yet versatile enough to support deployment in underserved areas. The primary challenge to achieving this goal is that the assessment requires social interaction that appears natural and fluid, so the remote system needs to be able to support fluid natural interaction. For this study we developed components to support this type of interaction and integrated these components into a system capable of supporting the entire autistic assessment protocol. We then implemented the system and evaluated the system on real patients. The results suggest that we have achieved our goal in developing a system with high-quality interaction that is easy to use.

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