In this paper we propose a model in which the perturbation is done by randomization, where the data is generated in intervals in order to preserve the sensitive data. This paper explores the possibility of using random number generation algorithms to protect the most privacy sensitive data, hospital data records. The following tests with privacy preserving data mining and data perturbation show how random number generation algorithm show promising possibilities in preserving the sensitive hospital data records.