This work demonstrates a model that enhances security and predictive analytics of cloud-based clinical and patients’ medical records for hospital management systems with adequate storage capacity, access to data for only authorized users, low cost medical services and implementation. The enhanced system uses Two-Factor Authentication (Password and Token) to grant access to authorized users in the system. Specifically aiming at providing greater security for sensitive information transmission, thereby enhancing the level of security in hospital management systems. The application was built with Python programming language, Django framework and machine learning algorithm with the capability to handle analytics. The efficiency of the model developed was tested and observed to be higher than previous models in terms of Security, Stakeholders’ Participation, Access Control, Data Privacy and Flexibility.Thetoken authentication and verification time were performed and an average of 10.95 seconds is required to access a patient’s medical record which is not significant enough to compromise security

Keywords : Cloud Computing, Electronic Medical Record, Data Mining, Two-Factor Authentication