A decision support system for diagnosis related groups coding

doi:10.1016/j.eswa.2010.09.016

CNU IR > College of Smart Living > Dept. of Information Management > Periodical Articles > Item 310902800/26953

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/26953

Title:	A decision support system for diagnosis related groups coding
Authors:	Lee, Mei-Te Su, Zhi-Yuan Hou, Ying-Hui Liao, Hsueh-Chih Lian, Jenn-Dong
Contributors:	資訊管理系
Keywords:	Decision support system Diagnosis related groups Quasi-experimental design Questionnaire survey
Date:	2011-04
Issue Date:	2013-09-28 16:25:31 (UTC+8)
Publisher:	Elsevier
Abstract:	This study demonstrates that the utilization of a computer-aided decision support system (DSS) for diagnosis related groups (DRGs) coding called DRG-DSS, can both help coders to increase their coding quality and also reduce the time required to train them. However, an information system is of no real value if its intended users are not prepared to avail themselves of it. A quasi-experiment was conducted to evaluate the performance of the DRG-DSS in a hospital. Twelve DRGs coders were recruited and randomly assigned to experimental or control group to code 180 respiratory cases. Both object and subject-based indicators were used to measure the performance of DRG-DSS through a two-stage evaluation process. The results show that the DRG-DSS can effectively enhance the coding quality and all the users had a positive attitude with respect to the system’s perceived ease of use and usefulness. Following presentation of the research findings, their implications and limitations are discussed, along with suggestions for future work.
Relation:	Expert Systems With Applications 38(4), pp.3626-3631
Appears in Collections:	[Dept. of Information Management] Periodical Articles

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