Browsing by Subject "Behavioral Health Analytics"

Now showing 1 - 2 of 2
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    Predicting Traumatic Brain Injury Through Behavioral Pattern Analysis in Youth with Autism
    (2023-08) Battula, Madhuhasa; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism® in collaboration with the Indiana NeuroDiagnostic Institute (NDI), explored the relationship between patient behavioral profiles and the presence of Traumatic Brain Injury (TBI) in individuals with Autism Spectrum Disorder (ASD). Using a combination of pre-admission data from Cerner and post-discharge data from REDCap, a comprehensive dataset of 58 patients was coded and analyzed to identify behavioral patterns. Prediction models, including Logistic Regression and Random Forest, were developed in Python to assess the likelihood of TBI based on specific behavior indicators. Results revealed statistically significant correlations between certain behavioral patterns and the presence of TBI. This work supports the potential for predictive modeling to improve early identification and intervention strategies for patients with ASD and co-occurring neurological conditions.
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    Program Evaluation and Strategic Impact Review in Autism and Developmental Disability Services
    (2022-12) Chandra, Adithya Srimannarayana; Neal, Tiffany; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism® Interdisciplinary Training and Resource Center, focused on reviewing and evaluating internal program data to assess the impact of outreach, training, and research initiatives supporting individuals with Autism Spectrum Disorder (ASD). The project involved organizing and analyzing data from REDCap and generating visual summaries using Excel and Tableau. The goal was to identify and update the most meaningful indicators for program reporting and strategic decision-making. This data-driven evaluation aligned with principles from implementation science, offering insights into the reach and efficacy of HANDS' ongoing efforts. Key deliverables included improved data organization systems, summary dashboards, and reporting recommendations to support long-term tracking of program outcomes.