Data-Driven Insights into Autism Client Denials in Acute Inpatient Psychiatric Settings

Abstract

This project analyzed denial client data from 2021–2023 to identify key patterns, trends, and barriers affecting service eligibility for individuals with Autism Spectrum Disorder (ASD) and related conditions. Tasks included data cleaning, preprocessing, and exploratory data analysis using REDCap, Cerner, Python, and Excel. Customized REDCap forms were developed to streamline data entry. Analysis revealed that IQ-related criteria, followed by age and diagnosis, were leading causes of denial. A notable gender disparity was identified, with males being denied at higher rates. Additional findings indicated that medical conditions unrelated to ASD, administrative burdens, and lack of parent engagement were significant contributing factors. These insights highlight the need for streamlined administrative processes and improved parent communication systems to reduce unnecessary denials and enhance access to care.