DocumentCode :
2602132
Title :
Modeling the Effects of Information Quality on Process Performance in Operating Rooms
Author :
Su, Ying ; Shen, Ningqiao
Author_Institution :
Inf. Quality Lab., Inst. of Sci. & Tech. Inf., Beijing, China
fYear :
2010
fDate :
24-26 March 2010
Firstpage :
175
Lastpage :
178
Abstract :
Operating rooms are regarded as the most costly hospital facilities. Due to rising costs and risks, it is necessary to optimize performance of the operating rooms. 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 operation process, information quality (IQ) is considered as an important contributory factor in improving patient throughput. In this paper, a theoretical framework and main content are presented. Through the establishment of quantitative information, quality indicators such as Trace-ability, Believability and Reputation, and the effect on process performance (registered queue length, waiting time, utilization of hospital facilities), together with the cost of the operating 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 effective decision support to drive performance in operating rooms in several phases of the IQ improvement.
Keywords :
hospitals; medical information systems; patient care; hospital facility; information quality; operating rooms; patient satisfaction; process performance; quality indicators; quantitative information; Analytical models; Computational modeling; Computer simulation; Cost function; Hospitals; Information analysis; Quality management; Queueing analysis; Surgery; Throughput; information quality; operating room; process performance; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4244-6614-6
Type :
conf
DOI :
10.1109/UKSIM.2010.39
Filename :
5481027
Link To Document :
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