Modeling the effects of information quality on hospital process performance

Abstract

Due to rising costs and risks, it is necessary to optimize performance of the hospital processes. High quality information has a significant effect on improving process performance and patient satisfaction, as well as resolving patient disputes. Based on the analysis of the hospital process, information quality (IQ) is considered as an important contributory factor in improving patient throughput. In this paper, a process oriented theoretical framework and main content are presented. Through the establishment of quantitative information, quality indicators such as Timeliness, Completeness and Reputation, and the effect on process performance (registered queue length, waiting time, utilization of hospital resources), together with the cost of the hospital process, are analyzed from the theoretical aspect and then verified by simulation technology. Finally, the results of our studies provide evidence that simulation can provide prediction support to drive information quality toward the performance management.