M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children

Catherine Tryfona; Giles Oatley; Ana Calderon; Simon Thorne

doi:10.1007/978-3-319-40238-3_24

M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children

Catherine Tryfona^*
, Giles Oatley
, Ana Calderon
, Simon Thorne

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Universal Access in Human-Computer Interaction
Subtitle of host publication	Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings
Editors	Margherita Antona, Constantine Stephanidis
Publisher	Springer Verlag
Pages	249-256
Number of pages	8
ISBN (Print)	9783319402376
DOIs	https://doi.org/10.1007/978-3-319-40238-3_24
Publication status	Published - 21 Jun 2016
Event	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 - Toronto, Canada Duration: 17 Jul 2016 → 22 Jul 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9739
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	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
Country/Territory	Canada
City	Toronto
Period	17/07/16 → 22/07/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Autism spectrum disorder
M-Health
User behaviour analysis

Access to Document

10.1007/978-3-319-40238-3_24

Cite this

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 M. Antona, & C. Stephanidis (Eds.), Universal Access in Human-Computer Interaction: Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings (pp. 249-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9739). Springer Verlag. https://doi.org/10.1007/978-3-319-40238-3_24

Tryfona, Catherine ; Oatley, Giles ; Calderon, Ana et al. / M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children. Universal Access in Human-Computer Interaction: Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings. editor / Margherita Antona ; Constantine Stephanidis. Springer Verlag, 2016. pp. 249-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "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{\textquoteright}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.",

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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 M Antona & C Stephanidis (eds), Universal Access in Human-Computer Interaction: Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9739, Springer Verlag, pp. 249-256, 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, Toronto, Canada, 17/07/16. https://doi.org/10.1007/978-3-319-40238-3_24

M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children. / Tryfona, Catherine; Oatley, Giles; Calderon, Ana et al.
Universal Access in Human-Computer Interaction: Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings. ed. / Margherita Antona; Constantine Stephanidis. Springer Verlag, 2016. p. 249-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9739).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

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DO - 10.1007/978-3-319-40238-3_24

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AN - SCOPUS:84978873024

SN - 9783319402376

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Universal Access in Human-Computer Interaction

A2 - Antona, Margherita

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ER -

Tryfona C, Oatley G, Calderon A , Thorne S. 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, editors, Universal Access in Human-Computer Interaction: Users and Context Diversity - 10th International Conference, UAHCI 2016 and Held as Part of HCI International 2016, Proceedings. Springer Verlag. 2016. p. 249-256. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-40238-3_24

M-health solutions to support the national health service in the diagnosis and monitoring of autism spectrum disorders in young children

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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