Autism screening rates continue to rise, and the number of clinical professionals capable of administering the exams is not keeping up with the demand. The behavioral tests administered for diagnosis are several hours long, and the diagnosis process as a whole is cumbersome. The average time between initial evaluation and diagnosis for a child living in a large metropolitan area is more than one year and can be as long as five years for families living in remote areas. The delay in diagnosis is not only frustrating for families, but also prevents many children from receiving medical attention during the developmental time periods when behavioral therapy is most effective. To address this public health challenge, Dennis Wall of Harvard Medical School has developed algorithms that rapidly analyze a short set of questions answered by a parent or caregiver and a two- to five-minute video of the child. This approach offers an accurate classification of an individual as ‘on’ or ‘off’ the autism spectrum. The algorithms mathematically target behaviors similar to those addressed in the Autism Diagnostic Interview-Revised and the Autism Diagnostic Observation Schedule, and can be administered in minutes as compared to the hours typically required. Wall and his colleagues plan to test the potential of this highly abbreviated approach in a high-volume clinical facility at Children’s Hospital Boston. They plan to enroll 200 or more children, a majority of whom meet standard clinical criteria for an autism diagnosis and a smaller but sizable percentage with other developmental delays. It should be possible to measure both the sensitivity and specificity of the algorithms and to evaluate the efficacy of this approach for assisting the clinical diagnostic process overall. Wall’s group hopes to eventually develop a comprehensive technology that can provide rapid assessments at the nearest and most appropriate clinical care facilities. This would increase the clinical reach to a larger percentage of the population and ensure timely delivery of therapies.