Assessment of Patient’s safety

Abstract

Patient safety has become an international priority with major research programs being carried out. The aim of this research is to assess the concept of patient safety. Two artificial neural network systems were designed by using questionnaire for the classification of an idle and non-idle hospital. After training and testing the systems results were obtained for classification of data. The Two type of neural networks (Feed Forward Back propagation and Competitive neural network architecture) were tested for sensitivity, specificity and accuracy it was found that the Feed Forward Back propagation (FFBP) give more accurate results with an accuracy of 96.37%.