Our clinical research lab focused on the area of transitional care. Currently, we designed and implemented an IRB-approved cohort study to gather comprehensive data on patients’ perceptions before, during, and after hospitalization, as well as the impact of post-discharge clinic practices on patients’ disease knowledge, perceptions, compliance with treatments, medication adherence, and social support, ultimately affecting readmission and emergency room return rates. Our recruitment goal is to enroll up to 180 patients by 2025. We are examining change in disease knowledge, differences in self-reported medical compliance, and self-reported medication adherence between baseline and post-discharge clinic follow-Up. We will also stratify our dataset by patient characteristics, such as reported admission diagnosis, patient satisfaction, social support, and demographics, etc., Finally, we will examine the relationship between these variables (change in disease knowledge, compliance, adherence, social support, satisfaction, etc.) on rates of readmission and return ED visits within 30-days. Chi squared tests will be used for bivariate analyses, and logistic regression will be used for multivariate analyses to identify associations between self-reported data and rates of readmission. A biostatistician from the CHeSS methods core will conduct statistical analysis and inform tests used to ensure analyses are valid. All computations will be performed using STATA version 15 (StataCorp). Our study’s results are expected to generate data for multiple manuscripts for publication.