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
|Subfield / Discipline|
|Committee Chair / Thesis Advisor|
|Applying Informatics to Autism Spectrum Disorder: From Screening to Early Intervention ()||2018-08-28||