The aim of this paper is to study pre and post-transplant health records of kidney transplanted people and to find the importance of various factors in renal transplantation. Once the importance of these factors are quantified it can be used to predict the survival probability of the graft for given time. The possibility of using Artificial Neural Network (ANN) as a tool to predict the survival probability is discussed. Transplantation is the best option available to increase the life expectancy of the people who are suffering from end stage renal disease all over the world. The present system for organ procurement and management by the hospital and other reputed legal organizations are not sufficient to deal with the situation. The need of the hour is Systematic procedures for collection of organs, networking and sharing information about both pre transplantation and post transplantation levels. Application of scientific techniques and well proven methodologies of other domains like manufacturing and production can be utilized to improve the level of efficiency in organ transplants of our country.