The healthcare sector in South Africa’s public domain continuously encounters challenges in delivering efficient services due to antiquated, paper-centric systems that impede the exchange of patient medical records. The adoption of cloud computing plays a vital role in augmenting healthcare facilities and improving service provision. The main objective of this study is to identify the elements that influence the readiness of cloud computing in Limpopo hospitals. This will be achieved by integrating the Human, Organization, and Technology-Fit (HOT-fit) model with components from the Technology-Organization-Environment (TOE) model and the Information Systems (IS) Success model. Employing a quantitative research methodology, questionnaires were disbursed via email and WhatsApp, along with hard copies, to elevate response rates. The data gathered from 313 participants underwent analysis using descriptive statistics to outline responses and regression analysis to ascertain the significance of various factors. The descriptive statistics unveiled varying degrees of concurrence across different components, with notable positive correlations observed among pivotal factors, featuring Pearson coefficients spanning from 0.671 to 0.908. The regression analysis showcased a strong model fit (R2 = 0.773), highlighting organizational structure, system utilization, service excellence, and environmental aspects as noteworthy predictors. The examination underscores the pivotal elements that influence readiness for cloud computing in hospitals within the Limpopo region, underscoring the significance of organizational structure and service quality. This inquiry introduces a thorough framework for assessing preparedness for cloud computing in the public healthcare sector of South Africa, offering valuable insights for policymakers and healthcare administrators in navigating the transition to cloud-based infrastructures.