Telehealth-based Systems for Diagnosis, Management and Treatment of Autism Spectrum Disorders: Challenges, Opportunities and Applications

The prevailing system for diagnosis, treatment, and management of Autism Spectrum Disorders (ASDs) in the US-the in-person service delivery-has been unable to address the increase in the demand for services and societal costs for those served, and the unattained societal benefits for those not diagnosed early enough or not offered early and intensive behavioral interventions. […]

BI Publications and Preliminary Studies Lists now available !

As a testament to Behavior Imaging being active to research efficacy for different use cases involving health and educational assessment of a variety of people, our partners particularly pursuing Thanks to this year’s crop of talented and dedicated summer interns, you can now visit the publication list for the following applications, please look in Research and Studies […]

Helping At-risk Families in Rural Idaho, Eastern Washington

The University of Idaho Child & Youth Study Center has been collaborating with other autism health professionals on Behavior Imaging’s National Institute of Health (NIH) research grant to explore alternative methods of diagnosing autism spectrum disorder earlier, especially for children in underserved and rural areas. The Center will still accept participants into this program from outlying areas […]

Adapting Telemonitoring Technology Use for Older Adults

Kristine Williams, PhD, RN, APRN, FNP-BC, FGSA, FAAN; Priya Pennathur, PhD; Ann Bossen, PhD, RN; and Alexander Gloeckner, BBA ABSTRACT Telehealth technologies are increasing health care access for patients in the home and in community, rural, and underserved areas. Older adults may be challenged to use new technologies due to aging- related changes, lack of […]

Behavior Imaging Upcoming Research Presentations at Child Psychiatry Conference

Behavior Imaging and their clinical research partners have collaborated on a number of upcoming projects in order to provide a better fundamental understanding of telemedicine in autism research, diagnosis, and treatment at this year’s American Academy of Child and Adolescent Psychiatry annual meeting. This year Behavior Imaging will present the following 2014 research papers in […]

ASYNCHRONOUS TELEHEALTH TECHNOLOGY FOR AUTISM SPECTRUM DISORDER – Lang, M , Oberleitner, R

Telehealth technology is a tool that allows behavior professionals and others to make valuable observations, gather data, and propose more targeted, appropriate remediation for areas in which an individual with an autism spectrum disorder needs to progress. This tool can be used across natural settings of home, school, and community, and it has practical applications […]

Iterative Design of a System to Support Diagnostic Assessments for Autism Using Home Videos

Direct observation remains a gold standard practice in diagnosing ASD. While clinical professionals acknowledge that observing behavior in the natural environment is crucial to obtain an accurate and comprehensive assessment, such observation is currently not feasible to implement into clinical practice on a large scale. The present goal is to iteratively design a system that […]

Story From the Field: Family’s Outlook Changed Through Video Journaling

As we celebrate the completion of important research on our new Med smartCapture mobile app for medication management, we look back at one of the important moments that showed the usefulness of the video self-reports the new app enables. Download docx Press Release In 2010, Matthew, then a junior high student, was struggling with how […]

Behavior Imaging Research Demonstrating Effectiveness in Autism Classrooms – Atlanta, GA

[av_video src=’https://www.youtube.com/watch?v=zcyWPLW-cpg’ format=’16-9′ width=’16’ height=’9′ av_uid=’av-7r4gv’] In this NIH funded pilot study, four teachers with varied experience in teaching children with special needs were randomly assigned to eight students each; and asked to provide Functional Behavior Assessments (FBAs) using Assessment View. Results included a 43% reduction in data collection errors.