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Healthc Inform Res > Volume 15(3); 2009 > Article
Journal of Korean Society of Medical Informatics 2009;15(3):293-301.
DOI: https://doi.org/10.4258/jksmi.2009.15.3.293    Published online September 30, 2009.
Evaluation of CDSS for Drug Prescriptions Based on Success Measures
Jinwoo Park1, Young Moon Chae1, Young Taek Lee2, Koungwon Cho3, Junghee Kim4, Byung Hwa Lee1
1Graduate School of Public Health, Yonsei University, Korea.
2MMK Co., Ltd., Korea.
3Department of Health Administration, Choonhae College of Health Sciences, Korea.
4CMPMedica Korea, Korea.
Correspondence:  Young Moon Chae,
Received: 18 September 2009

Objective: The Clinical Decision Support System (CDSS) for drug prescriptions was developed by integrating the computerized physician order entry (CPOE) system to support doctors and pharmacists in making correct decisions on prescribing drugs in line with the prescription guidelines by the Health Insurance Review Agency (HIRA). The objective of this study was to evaluate the performance of the CDSS with respect to system quality, information quality, and user satisfaction in reducing prescription errors.

Methods: The study was based on survey data from 38 hospitals that were using the CDSS for drug prescriptions. To identify factors influencing the performance of CDSS, multiple linear regression and chi-square analyses were performed.

Results: Regression analysis showed that the variables for system quality and information quality significantly influenced the overall system performance. Specifically, ease of understanding the results and terminology assystem quality measures significantly influenced user satisfaction. Furthermore, based on chi-square analysis, two independent variables (ease of understanding results and decision support functions) were statistically significant with respect to all four dependent variables (information satisfaction, system satisfaction, willingness to recommend to other hospitals, and drug safety).

Conclusion: Based on this study, users should be educated to improve their understanding of the system,and system and information quality should be continuously monitored to improve user satisfaction.

Key Words: Evaluation, Drug Clinical Decision Support System
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