ITECH1103: US Healthcare Data Analysis and Visualization Report

This report presents an analysis of US healthcare data using SAS Visual Analytics. The study explores a dataset focused on public healthcare facilities, examining facility type, services, and location. Data visualizations, including horizontal graphs, maps, bar graphs, and dashboards, were employed to identify key trends. The analysis highlights that Acute Myocardial Infarction (AMI) has the highest ICU days, while Congestive Heart Failure (CHF) is the most frequently diagnosed condition. The report suggests interventions such as reducing ICU days for male AMI patients and increasing specialized medical training for CHF. Further insights include the most and least popular diseases within diagnostic groups, department-wise patient numbers, patient demographics by gender, race, and hospital, and city-specific patient numbers. Additional visualizations, such as trend analyses and hospital maps, provide a comprehensive overview of the healthcare data, leading to recommendations for improved resource allocation and patient care strategies. The report is a group assignment for the course ITECH1103, demonstrating the application of SAS Visual Analytics to derive meaningful insights from the dataset.