Healthc Inform Res.  2012 Mar;18(1):35-43. 10.4258/hir.2012.18.1.35.

A Study on User Satisfaction regarding the Clinical Decision Support System (CDSS) for Medication

• Kim J
• Chae YM
• Kim S
• Ho SH
• Kim HH
• Park CB

• KMID: 2166616
• DOI: http://doi.org/10.4258/hir.2012.18.1.35

Abstract

OBJECTIVES
Many medication errors can occur when ordering and dispensing medicine in hospitals. The clinical decision support system (CDSS) is widely used in an effort to reduce medication errors. This study focused on the evaluation of user satisfaction with the CDSS for medication at a university hospital. Specifically, this study aimed to identify the factors influencing user satisfaction and to examine user requirements in order to further improve user satisfaction and drug safety.
METHODS
The study was based on survey data from 218 users (103 doctors, 103 nurses, and 15 pharmacists) at a university hospital that uses the CDSS. In order to identify the factors influencing user satisfaction with the CDSS, a multiple linear regression was performed. In order to compare the satisfaction level among the professional groups, an analysis of variance (ANOVA) was performed.
RESULTS
The reliability of information, decision supporting capability, and departmental support were significant factors in influencing user satisfaction. In addition, nurses were the most satisfied group, followed by pharmacists and doctors according to the ANOVA. Areas for further improvement in enhancing drug safety were real time information searching and decision supporting capabilities to prevent adverse drug events (ADE) in a timely manner.
CONCLUSIONS
We found that the CDSS users were generally satisfied with the system and that it complements the nationwide drug utilization review (DUR) system in reducing ADE. Further CDSS evaluation in other hospitals is needed to improve user satisfaction and drug safety.

Keyword

Clinical Decision Support Systems; Drug Utiligation Review; Medication Errors; Safety

MeSH Terms

Complement System Proteins
Decision Support Systems, Clinical
Drug Toxicity
Drug Utilization Review
Humans
Linear Models
Medication Errors
Pharmacists
Complement System Proteins

Figure

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  Figure 1 Framework for the evaluation of clinical decision support system. UI: user interface, ANOVA: analysis of variance.

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