Modeling the effects of information quality on hospital process performance

Su, Ying and Yin, Ling and Al-Hakim, Latif (2010) Modeling the effects of information quality on hospital process performance. In: 2010 International Conference on Information Technology and Industrial Engineering, 6-7 Jun 2010, Wuhan, China.

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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Depositing User: Dr Latif Al-Hakim
Faculty / Department / School: Historic - Faculty of Business - School of Management and Marketing
Date Deposited: 23 Jan 2011 05:27
Last Modified: 13 Oct 2011 03:21
Uncontrolled Keywords: information quality, hospital process, process performance, simulation
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objective (SEO2008): C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
URI: http://eprints.usq.edu.au/id/eprint/9398

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