Browsing by Subject "Inpatient Psychiatry"

Now showing 1 - 10 of 18
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    Analyzing Behavioral Patterns in Acute Inpatient Psychiatric Settings for Individuals with Autism Spectrum Disorder
    (2023) Bodempudi, Sai Tejaswi; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This project focused on analyzing behavioral patterns in patients at the Indiana NeuroDiagnostic Institute (NDI) over a three-year period (2021–2023). Using data from Cerner and REDCap, the study examined the frequency and types of physical and verbal aggression among 100 patients. The analysis identified “Other/Unspecified” as the most commonly reported category for both physical and verbal aggression, suggesting the need for improved classification methods. “Hitting,” “kicking,” “verbal threats,” and “screaming” were also frequent behaviors. Year-to-year variation in certain behaviors, such as an increase in “punching” in 2023, points to changing trends in patient aggression. Recommendations include refining behavior categorization, improving data extraction from Cerner, and developing more targeted intervention strategies to support patient care and staff safety. The project also emphasized the value of ethical research practices, collaborative teamwork, and data accuracy through recurring tasks such as scoring, entry, and validation.
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    Assessing Caregiver and Provider Knowledge Gaps in Autism Spectrum Disorder Using the Autism Knowledge Survey
    (2023-04-24) Simhadri, Suguna; Neal, Tiffany; Swiezy, Naomi
    Autism Spectrum Disorder (ASD) is often misunderstood, leading to delays in diagnosis, intervention, and support. The Autism Knowledge Survey (AKS) was developed to identify knowledge gaps and barriers to shared understanding among caregivers, educators, and providers. During this practicum at HANDS in Autism®, the student focused on reviewing and preparing data from the second iteration of the AKS (AKS2), integrating it with AKS1 to support manuscript development and future journal submission. Tasks included manuscript review, dataset refinement, and statistical analysis using REDCap, R, and Microsoft Excel. Results from AKS2 will inform targeted ASD education efforts and improve stakeholder understanding of core diagnostic and intervention principles. The practicum reinforced the importance of data-informed dissemination in reducing stigma and guiding community-based training and outreach for ASD.
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    Assessing Clinical Global Impressions Severity Scores in Adults with Autism Across Counties: A Coordinated Care Study from Preadmission to Post-Discharge
    (2023-08-04) Enugu, Hari Priya Reddy; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism® in collaboration with the Indiana NeuroDiagnostic Institute (NDI), aimed to examine changes in behavioral severity among adults with Autism Spectrum Disorder (ASD) using the Clinical Global Impressions (CGI) Severity Scale. Data were collected from REDCap across multiple stages of care, including preadmission, 7-day, 1-month, 3-month, 6-month, 9-month, and 12-month post-discharge intervals. Severity scores were categorized by county and visualized using Excel, Python, and Tableau to assess behavioral change trends. Results showed a clear reduction in severity from preadmission (primarily scores of 6–7) to post-discharge (with most scores at 5 or below), suggesting improved outcomes following inpatient intervention. This analysis supports the value of longitudinal tracking using standardized tools like CGI to inform treatment planning and promote recovery monitoring in adults with ASD.
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    Assessing Outcomes of Evidence-Based Practices Through Violence Risk Assessment and Clinical Global Impression (CGI) Analysis in Children with Autism Spectrum Disorder
    (2023-04-28) Darsanapu, Archana; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum at HANDS in Autism®, in collaboration with the Indiana NeuroDiagnostic Institute (NDI), aimed to evaluate the effectiveness of an evidence-based coordinated care approach for youth with Autism Spectrum Disorder (ASD) receiving inpatient psychiatric services. The study compared pre-admission data collected via Cerner and post-discharge data collected through REDCap for 42 individuals. Using the Clinical Global Impression (CGI) scale and Violence Risk Assessment (VRA), the project measured behavioral outcomes following treatment. Data were coded, analyzed using Python and Excel, and visualized to assess changes in severity and improvement scores. Results showed that 31 of 42 patients demonstrated measurable improvement. The findings support the use of integrated data systems and standardized behavioral tools to monitor treatment impact and reduce risks associated with behavioral health crises. This project contributes to ongoing evaluation of treatment interventions and development of comprehensive, individualized care plans for youth with ASD.
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    Assessing Patient Characteristics and Improving Data Accessibility in Autism Spectrum Disorder Inpatient Programs.
    (2023-12) Darsanapu, Archana; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This project focused on enhancing healthcare data visualization and accessibility for individuals with Autism Spectrum Disorder (ASD) receiving inpatient psychiatric services. Data review and quality assurance were conducted using REDCap, with a focus on accuracy and completeness of patient demographic and service data. An interactive Power BI dashboard was developed using REDCap-exported datasets to visualize trends in service characteristics, patient profiles, and healthcare utilization. Although dynamic integration through API was not available, the dashboard was built with scalable design features to support future real-time functionality. Additional responsibilities included coordinating evaluations, supporting subgroup communication, and organizing timelines to ensure consistent data workflows across projects. The effort demonstrates the practical value of integrating informatics tools in ASD clinical settings to support data-driven care, team collaboration, and strategic decision-making.
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    Comparative Assessment of Autism Spectrum Disorder Service Outcomes Before and After Inpatient Care
    (2022-12) Yalamanchi, Sriha; Neal, Tiffany; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism® in collaboration with the Indiana NeuroDiagnostic Institute (NDI), aimed to evaluate changes in service delivery and patient outcomes for individuals with Autism Spectrum Disorder (ASD) receiving inpatient psychiatric care. Data were retrieved from the Cerner electronic health record system, coded using REDCap, and analyzed to compare behavioral and clinical outcomes across four assessment points. Narrative analysis and quantitative coding were used to identify patterns, assess program effectiveness, and inform future implementation of evidence-based practices (EBPs). The project also emphasized data harmonization and variable identification to guide systemic improvements. The findings will support the development of a structured HANDS model training curriculum and inform future post-discharge planning and cross-system collaboration strategies to reduce readmissions and improve long-term outcomes.
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    Data-Driven Insights into Autism Client Denials in Acute Inpatient Psychiatric Settings
    (2023) Kaur, Charanjit; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    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.
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    Enhancing Functional Outcomes for Students with Autism through Evidence-Based Education Models
    (2023) Shukla, Vaishnavi; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum focused on evaluating the impact of the HANDS in Autism® Model across three educational settings through data-driven observation and collaboration. The project centered on the analysis of survey data collected using REDCap and visualized through Excel to assess the implementation fidelity of Evidence-Based Practices (EBPs) and their effect on functional behavior in students with Autism Spectrum Disorder (ASD). The Module-Based Rubric and Classroom-Wide Data Rating (C-WDR) method were used to quantify and track instructional techniques, behavioral outcomes, and staff performance. The practicum outcomes emphasized increased functional communication and reduced problem behavior in students when EBPs were implemented with fidelity. Additionally, the project cultivated skills in data collection, visualization, and collaborative evaluation in real-world educational environments.
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    Evaluating Evidence-Based Practice Implementation in Autism Spectrum Disorder Support Classrooms Using The HANDS Model.
    (2023-08) Pittala, Venkataramana R.; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, conducted at HANDS in Autism®, focused on evaluating the fidelity of evidence-based practice (EBP) implementation across collaborative school sites using the HANDS Module-Based Rubric. The rubric is part of the School WORK™ framework and provides structured feedback on key instructional domains including environment setup, assessment, goal setting, teaching strategies, and behavioral interventions. Data were collected from multiple Indiana schools across several academic years and analyzed using REDCap and Microsoft Excel. Visual comparisons across sites and years revealed that Warsaw showed the highest fidelity of implementation, especially during the 2018–2019 school year. Tasks included data collection, visualization, and longitudinal analysis to identify trends and gaps in training outcomes. This practicum enhanced the student’s skills in data management, educational outcome tracking, and collaborative systems evaluation, while contributing to sustainable teacher training efforts for students with Autism Spectrum Disorder (ASD).
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    Evaluating Functional Communication Improvements in Autism Support Classrooms Using Evidence-Based Practices
    (2023-08-02) Thumu, Mrudhula; Neal, Tiffany; Deodhar, Aditi; Swiezy, Naomi
    This practicum, completed at HANDS in Autism®, focused on evaluating the implementation and impact of evidence-based practices (EBPs) in collaborative school sites supporting students with Autism Spectrum Disorder (ASD). The project involved working with educational teams to administer interventions aimed at improving functional communication and reducing problem behaviors. Using the Classroom-Wide Data Rating (C-WDR) system, behavior trends were monitored through structured observations, with data collected monthly and analyzed in REDCap, Excel, and OneDrive. Findings revealed improvements in functional communication over the 2021–2022 academic year and indicated that fidelity of EBP implementation correlated with student engagement and behavioral outcomes. The practicum provided opportunities for direct collaboration with school personnel, hands-on data collection, and insight into individualized intervention planning, contributing to broader goals of inclusive education and improved behavioral health for students with ASD.