The aim of the study is to control electronic human resource management (e-HRM) issues based cloud computing system by using Bayesian regression for healthcare organizations. The results show E-HRM Issues based cloud computing system identification checklist with control methods based on experienced IT and HR managers by using Bayesian regression in Table 55. The squared multiple correlations are between (0.725-0.29). However, the models estimates the multiple correlation between EHRM issues and control methods (0.852- 0.538), which are high. Usually, all the hypotheses has been accepted, since all model relationships were positive (β) and significant less than 0.05. In the models by Bayesian regression, all independent variables had significant and positive coefficients which mean that higher level of electronic Human Resource Management activities, the level awareness of EHRM and cloud computing system, IT and cloud computing infrastructure, and management support system and quality for HRM. Further, control methods such as technological, organizational, legal, and environmental dimension is importance for mitigate EHRM issues high. Finally, cloud computing are increasingly influencing electronic human resource management (EHRM) practices for healthcare organizations.