This article studies about cloud healthcare management, where the cloud computing services seems as one of the viable options to improve the health-care services but simultaneously faces certain deterrents in the form of privacy concerns of the service users. This study aims to identify the privacy concerns, followed by analyzing the moderating effect of these concerns over the success parameters which favors the successful adoption of cloud-based healthcare services. A total of 20 success parameters and nine privacy concerns of cloud-based healthcare service users have been identified by doing a thorough literature review. The success parameters are the independent variables, privacy concerns are the moderating variables, and the factors defining success measures are the dependent variables. These three types of variables have been constituted to propose three models which identify the direct as well as the moderating effect of these privacy concerns over the critical success factors (CSFs) for the successful adoption of cloud-based healthcare services. These have been factually tested by analysis done on data collected from 105 respondents of the related domain. Structural equation modeling has been used to determine the moderating effect of the privacy concerns over the success factors. The latent variables used in the models successfully pass discriminant validity, composite reliability, multicollinearity, indicator correlation, and factor analysis test. The observed outcome demonstrates that privacy concerns of cloud-based healthcare service users are moderating the organizational and people-related success factors, whereas it does not moderate the technology-related success factors for successful adoption of cloud-based healthcare services. The privacy concerns of such service users and the CSFs (ie, organizational-, people-, technology-related success factors) directly and significantly affect the adoption rate of cloud-based healthcare services. Thus the article produces a data-based proof and statistically analyzed basis for the companies and healthcare organizations involved in the development and maintenance of cloud-based healthcare services by categorically breaking down the effect of success parameters of cloud adoption along with pointing out the concerns to be addressed to convincingly satisfy the service users.