TY - GEN
T1 - M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children
AU - Tryfona, Catherine
AU - Oatley, Giles
AU - Calderon, Ana
AU - Thorne, Simon
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016/6/21
Y1 - 2016/6/21
N2 - With estimates of prevalence between 1 in 68 and 1 in 88 children [11], 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.
AB - With estimates of prevalence between 1 in 68 and 1 in 88 children [11], 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.
KW - Autism spectrum disorder
KW - M-Health
KW - User behaviour analysis
UR - http://www.scopus.com/inward/record.url?scp=84978873024&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-40238-3_24
DO - 10.1007/978-3-319-40238-3_24
M3 - Conference contribution
AN - SCOPUS:84978873024
SN - 9783319402376
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 249
EP - 256
BT - Universal Access in Human-Computer Interaction
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer Verlag
T2 - 10th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2016 and Held as Part of 18th International Conference on Human-Computer Interaction, HCI International 2016
Y2 - 17 July 2016 through 22 July 2016
ER -
