A Study on User Satisfaction regarding the Clinical Decision Support System (CDSS) for Medication / 대한의료정보학회지
Healthcare Informatics Research
; : 35-43, 2012.
Article
in En
| WPRIM
| ID: wpr-155526
Responsible library:
WPRO
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.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Pharmacists
/
Complement System Proteins
/
Linear Models
/
Drug Utilization Review
/
Decision Support Systems, Clinical
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Drug-Related Side Effects and Adverse Reactions
/
Medication Errors
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Healthcare Informatics Research
Year:
2012
Type:
Article