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.
Subject(s)
Humans , Complement System Proteins , Decision Support Systems, Clinical , Drug-Related Side Effects and Adverse Reactions , Drug Utilization Review , Linear Models , Medication Errors , PharmacistsABSTRACT
OBJECTIVES: This study presents the information system for Pusan National University Hospital (PNUH), evaluates its performance qualitatively, and conducts economic analysis. METHODS: Information system for PNUH was designed by component-based development and developed by internet technologies. Order Communication System, Electronic Medical Record, and Clinical Decision Support System were newly developed. The performance of the hospital information system was qualitatively evaluated based on the performance reference model in order to identify problem areas for the old system. The Information Economics approach was used to analyze the economic feasibility of hospital information system in order to account for the intangible benefits. RESULTS: Average performance scores were 3.16 for input layer, 3.35 for process layer, and 3.57 for business layer. In addition, the cumulative benefit to cost ratio was 0.50 in 2011, 1.73 in 2012, 1.76 in 2013, 1.71 in 2014, and 1.71 in 2015. The B/C ratios steadily increase as value items are added. CONCLUSIONS: While overall performance scores were reasonably high, doctors were less satisfied with the system, perhaps due to the weak clinical function in the systems. The information economics analysis demonstrated the economic profitability of the information systems if all intangible benefits were included. The second qualitative evaluation survey and economic analysis were proposed to evaluate the changes in performance of the new system.
Subject(s)
Commerce , Cost-Benefit Analysis , Electronic Health Records , Evaluation Studies as Topic , Hospital Information Systems , Information Systems , InternetABSTRACT
OBJECTIVES: We have developed a computerized WHO impairment grading for the clinical management of leprosy patients. The primary aim of this research is to redefine from the legacy disability grading to impairment grading recommended by ICF of WHO. METHODS: The degree of impairment can be determined at the moment of clinical examination and directly entered by a physician. The computation of impairment sum scores, cumulative reports and analysis can be automated. RESULTS: Annual report of health statistics is submitted with high degree of accuracy. CONCLUSIONS: WHO impairment grading and ICF terminology is found to be essential for the clinical management of leprosy patients, and can be a valuable basis for the development of information system in rehabilitation facilities.