Alzheimer's disease is a progressive neurodegenerative disease primarily affecting the elderly population and is a major public health challenge worldwide. The objective of this Retrospective quantitative study was to investigate the prevalence rates of Alzheimer’s Disease (AD) in the United States within the population aged 65 and above and explore variations within the study population. In addition, the study also examined the AD prevalence and readmission rates in comparison with other specific chronic conditions to provide a holistic understanding of Alzheimer’s disease. The study’s primary data source was the specific chronic conditions data derived from the CMS (Centers for Medicare and Medicaid Services) from the year 2018, which included specific chronic conditions, patient demographics, prevalence and hospital readmission rates, emergency room visits, beneficiary status, and Medicare payments. The study conducted a comprehensive literature review to better understand the complex interplay of different key variables in the context of Alzheimer’s disease. The next step was data mining, followed by descriptive and inferential analysis to investigate the dataset. The study observed significant correlations between Age and Alzheimer’s disease, along with noteworthy variations based on gender, ethnicity, and location. The study also observed significant differences in the hospital readmission rates and healthcare utilization metrics when compared to other specific chronic conditions. The study findings reflect the unique healthcare challenges associated with Alzheimer’s disease and offer valuable information to the key stakeholders encouraging further research and futuristic healthcare designs to optimize care strategies and resource allocation to mitigate the impact of Alzheimer's disease.