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New technologies for the early identification of children with dy | 28930
Pediatrics & Therapeutics

Pediatrics & Therapeutics
Open Access

ISSN: 2161-0665

+44 1478 350008

New technologies for the early identification of children with dysfunctions


3rd International Conference on Pediatrics

May 18-20, 2015 San Antonio, Texas, USA

Michael Lewis

Rutgers Robert Wood Johnson Medical School, USA

Posters-Accepted Abstracts: Pediat Therapeut

Abstract :

In the USA the average age of diagnosing Autism Spectrum Disorder (ASD) is approximately 4 years. The cause of this delay in diagnosis is in part due to the problem of educating pediatricians in regard to normal social and emotional development. Language development information is also often unavailable. In order to rectify this problem, we have developed an APP to be used by parents which is based on the research literature and research with over 1000 children ages, 8 to 36 months. This APP is easy to use and generates a score of Normal (green), Suspect (yellow) and Red (in need of care!). Pediatricians have available parental reports and can use this for further evaluation of their child. Preliminary data indicates that using pediatricians who are specialists in developmental disabilities who diagnose in regard to parental report shows significant sensitivity and suggests this is an instrument that can aid in early diagnoses.

Biography :

Email: lewis@rwjms.rutgers.edu

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