| Abstract |
Although early identification of autism spectrum disorder is critical for ensuring timely diagnosis and access to support, striking disparities and inequities delay the diagnostic process. Technology approaches hold exciting potential for reducing barriers to care and increasing access to autism diagnosis. In the current chapter, we review evidence for the use of telehealth-based technology for facilitating autism diagnostic assessments, including (1) live videoconferencing, (2) asynchronous video observations (i.e., nonlive observations of current behavior via video), (3) retrospective video analysis (i.e., nonlive observation of past behavior), (4) mobile and web applications, and (5) online websites and phone interviews. We conclude with limitations of this research and directions for future research in this critical area of inquiry. |
, Christina G. McDonnell 
