Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
516247 | International Journal of Medical Informatics | 2011 | 10 Pages |
ObjectiveSTATPack™ is an information system used to aid in the diagnosis of pathogens in hospitals and state public health laboratories. STATPack™ is used as a communication and telemedicine diagnosis tool during emergencies. This paper explores the success of this emergency response medical information system (ERMIS) using a well-known framework of information systems success developed by DeLone and McLean.MethodUsing an online survey, the entire population of STATPack™ users evaluated the success of the information system by considering system quality, information quality, system use, intention to use, user satisfaction, individual impact, and organizational impact.ResultsThe results indicate that the overall quality of this ERMIS (i.e., system quality, information quality, and service quality) has a positive impact on both user satisfaction and intention to use the system. However, given the nature of ERMIS, overall quality does not necessarily predict use of the system. Moreover, the user's satisfaction with the information system positively affected the intention to use the system. User satisfaction, intention to use, and system use had a positive influence on the system's impact on the individual. Finally, the organizational impacts of the system were positively influenced by use of the system and the system's individual impact on the user.ConclusionsThe results of the study demonstrate how to evaluate the success of an ERMIS as well as introduce potential changes in how one applies the DeLone and McLean success model in an emergency response medical information system context.
► We examine the success of an emergency response medical information system. ► We used a well-known information systems success model to evaluate system success. ► Most information systems success model relationships are supported in this study. ► Intention to Use is important when evaluating emergency information system success. ► Success models need to be altered when evaluating emergency information systems.