Applying Informatics to Autism Spectrum Disorder: From Screening to Early Intervention Öffentlichkeit
Arneson, Kayla (2017)
Published
Abstract
Background: According to CDC's Autism and Developmental
Disabilities Monitoring Network (ADDM) 1 in 68 children are
affected with ASD in the United States. As the impact of ASD
continues to grow, it is necessary to understand how primary care
physicians can better identify the signs of ASD, diagnose ASD, and
ultimately increase access to early intervention services. Early
intervention services shows substantial evidence to improve
developmental outcomes for those with ASD. Whether the use of
information systems enables this effort, is important to
understand, as the steady growth in ASD is regarded as a
significant public health concern.
Key Aims and Methods: The overall goal of this thesis is to better
understand how integrating technology with traditional ASD
practices can increase access to early intervention services. The
first aim is "Are healthcare providers leveraging technology to
increase completeness and accuracy of ASD screening and diagnosis?"
The second aim is "Are healthcare providers that use integrated
technology for ASD diagnosis, able to screen, evaluate, and
diagnose for ASD at a younger age when compared to healthcare
providers that use traditional modalities? To achieve these aims, a
literature review was conducted.
Results: Literature review confirmed that leveraging technology to
screen and assess children for ASD increased timeliness,
completeness, and accuracy. Improving screening practices
subsequently reduces the burden on specialists and increases access
to early intervention services for those accurately diagnosed with
ASD. Although the second aim could not be answered definitively,
this literature review reinforces the knowledge around how
integrating technology with traditional screening modalities could
potentially decrease age of diagnosis through evidence showing how
technology has expedited processes involved, such as screening and
diagnostic evaluation.
Conclusion: There is an apparent need to expedite ASD screening,
evaluation and diagnosis to subsequently increase access to early
intervention services, as evidence shows early intervention greatly
improves quality of life. Although there is some information
pertaining to how technology can improve processes involved with
diagnosis, knowledge surrounding how technology affects age of
diagnosis is lacking. These findings show evidence of methods that
can be applied to use technology to lower the age of ASD
diagnosis.
Table of Contents
Chapter 1: Introduction Chapter 2: Review of Literature Chapter 3: Methodology Chapter 4: Results Chapter 5: Discussion
About this Master's Thesis
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