M-Health Solutions to Support the National Health Service in the Diagnosis and Monitoring of Autism Spectrum Disorders in Young Children
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With estimates of prevalence between 1 in 68 and 1 in 88 children , accurate and early identification of autism spectrum disorders (ASDs) in young children remains a pressing public health issue. In the absence of a single biomarker for ASD, however, a diagnosis is currently reached on the basis of a portfolio of evidence assembled by various health care professionals, parents and educational specialists. Studies have shown that early diagnosis and subsequent intervention are key to a favourable prognosis for children with autism. Many families, however, experience long periods of time between appointments with health care professionals, thus delaying the diagnosis and subsequent access to support and interventions. In this paper, we consider the potential role of m-health software solutions in supporting the diagnosis and ongoing monitoring of ASDs in young children. We consider their application particularly within the context of the UK’s National Health Service. This paper also presents a review of some of the current literature on user-behaviour analysis software on mobile computing devices such as tablet computers and smartphones, along with some of the emerging m-health solutions for supporting the diagnosis of ASD in children.
International Conference on Universal Access in Human-Computer Interaction - Universal Access in Human-Computer Interaction. Users and Context Diversity;
Tryfona C., Oatley G., Calderon A., Thorne S. (2016) M-Health Solutions to Support the National Health Service in the Diagnosis and Monitoring of Autism Spectrum Disorders in Young Children. In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Users and Context Diversity. UAHCI 2016, July 17-22. Lecture Notes in Computer Science, vol 9739. Springer, Cham. pp. 249-256
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