Impacts of case-based health knowledge system in hospital management: the mediating role of group effectiveness

Abstract With the rise of artificial intelligence, case-based health knowledge management systems (CBHKS) have been widely adopted in hospitals. CBHKS are data-driven intelligent platforms that integrate latest technologies, such as artificial intelligence and cloud computing. As an integral part of smart hospitals, CBHKS can support decision processes at different levels in hospitals. However, researchers have not yet clearly addressed how CBHBKS improves hospital management outcomes. Based on group effectiveness and leadership performance-maintenance theories, we develop a conceptual model to explain the role of CBHKS in hospital management. To test the research hypotheses in the conceptual model, we collected survey data from 214 doctors, and performed data analysis using partial least squares (PLS)-based structural equation modeling. The empirical testing results show that the CBHKS implementation significantly and positively influences group performance, group members’ satisfaction, group learning, and external satisfaction; and group members’ satisfaction and external satisfaction significantly and positively affect management performance and maintenance.