Use of data mining surveillance system in real time detection and analysis for healthcare-associated infections

Hospital information system have been developed to provide better quality of patient care and efficient hospital management. However, these data have not been linked to infection control surveillance. Often time infection control practitioners (ICPs) can only detect healthcare-associated infections (HAIs) based on retrospective analysis of lab results and patient data. Thanks to data mining and artificial intelligence software, the ICPs may be able to detect HAIs in real time based on lab results in certain infections. Thus, the objective is to use knowledge management and artificial intelligence to design a real time HAI surveillance system.