Analysis of User Satisfaction with the Smart Quality Control Management System and Model for Nosocomial Infection
Objective This study aims to establish a smart quality control management system for nosocomial infection and evaluate willingness to use and influencing factors of it based on the Delone&Mclean model. Methods By utilizing information technologies such as artificial intelligence,big data,and cloud computing,and based on data centers and integrated platforms,to build a hospital infection quality control informatization platform. This platform integrates quality indicator evaluation,quality management team,and quality process monitoring,to achieve smart management of hospital infection control. The data were collected by questionnaire survey,and analyzed using partial least squares-structural equation model and the importance-performance matrix analysis. Results After the implementation of this system,the incidence of hospital-acquired infections,central venous catheter-related infections,and catheter-associated urinary tract infections demonstrated a significant annual decline (P<0.05).Information quality indicators (real-time monitoring quality),service quality indicators (providing user training),and satisfaction indicators (service quality satisfaction) are the improvement directions for the willingness to use this system. Conclusion The hospital infection quality control smart system is well-designed,enhancing infection prevention and control. It emphasizes sustainable technical development to improve system efficiency,guided by quality control needs.
万方数据
维普
