• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.126-131
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• 2020

This study analyzed the inflow and outflow patterns of emergency department patients, to identify changes in regional types in cities, counties, and districts in Jeonlado, Korea. Data of areas in Jeonlado for 2014 to 2018 were extracted from the National Emergency Department Information System. The extracted data includes the patients' and emergency medical institution addresses, which were used to calculate the relevance index (RI) and commitment index (CI). The calculated indices were classified into regional types by applying cluster analysis. A non-parametric method, Kruskal-Wallis test, was employed to examine the differences between years for RI and CI by regional types. The results of cluster analysis using the relevance and commitment indices revealed three regional types. Regions in cluster 1 were classified as outflow type, in cluster 2 as inflow type, and in cluster 3 as self-sufficient. RI and CI were calculated for each cluster or regional type. There were no significant differences between years in cluster 2 (inflow type) and cluster 3 (self-sufficient type). In cluster 1 (outflow type), there were no significant differences in CI between the years; however, there were significant differences in RI between 2014 and 2017, and 2014 and 2018. It is difficult to see that the emergency medical environment has improved due to the increased concentration of emergency medical care.

• Health Policy and Management
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• v.19 no.4
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• pp.121-139
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• 2009

Objectives : The purpose of this study was to investigate regional commitment index(RGI) of hospital in Korea, and the relationship RGI and hospital characteristics, such as foundation, region, size. Therefore, we are to suggest fundamental information to make and evaluate healthcare resource policy in hospital- and government-level. Methods : The 'Patient Survey 2002(administered by Ministry of Health and Social Welfare(MOHW)' was analyzed. We selected the patient data of the hospitals above 100 beds. Then, we calculated the RGI, number of same cases divided by all cases in each hospital. By using SPSS/win ver 14.0, statistical analysis such as t-test, ANOVA, correlational and regression analysis was carried out. Results : The results are as follows. 1. Overall mean and standard deviation of RGI were revealed as 0.805${\pm}$0.225 in inpatients, and 0.871${\pm}$0.184 in outpatient. The median of inpatients' and outpatients' RGI were 0.890 and 0.933. The RGI of inpatients of private hospitals were revealed significantly higher than that of the public(public: 0.727, private: 0.822). However, outpatients' RGI was not revealed as significantly different. 2. The RGI of general specialty hospitals were significantly lower than others, therefore we could think that more inpatients and outpatients of general specialty hospitals flowed in from others province or metropolitan cities than other hospital types. 3. The RGI of hospitals holding above 400 beds were significantly lower than others in inpatients and outpatients. 5. The RGI of hospitals were significantly different among sixteen province and metropolitan cities. The RGI inpatients of Gwangju and Daejon metropolitan city were lowest sub-group(0.659, 0.664), and the RGI inpatients of Jeju was revealed as highest, 0.979. 6. Available beds, total doctors, and total employees were negatively correlated with RGI of inpatients and outpatients. 7. The significant influencing factors to RGI of inpatients and outpatients were appeared samely such as available beds, wide healthcare region, hospital size, and foundation type. Conclusions : It is considered that RGI of hospital represent competitive power in healthcare market. Also, the competitive advantage and quality of hospital clustered by characteristics could made out by RGI. Therefore, the results of this study would be useful to develop and evaluate hospital policy of individual hospital or local government.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.1-12
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• 2016

This study examines academic research trends and the change of patterns by analyzing researches related to hospital management registered in Korea Citation Index(KCI) from 2010 to 2014 and offers basic information for interests and future research demands in the field of hospital management As research subjects, a total of 694 published articles were selected. It's to analyze them by dividing into research topics, methods and author's characteristics, and to present them by classifying the period into 2010-2011, 2012-2013, 3rd quarter of 2014 since there was no significant difference in the result between adjacent years. As a result, Korean Journal of Hospital Management has accounted for the highest published rate year after year. In the research topic analysis, it showed a decreasing trend in these research topics as medical marketing and patient satisfaction which became the biggest issue in 2010-2011 significantly were lower in 2014, but an increasing trend in job satisfaction, job stress, labor administration and workforce productivity. The most frequently cited keywords were hospital employees, job satisfaction, organizational commitment, job stress, turnover intention. According to the research method analysis, the survey was the most popular method for data collection. However, Interview and medical records as data sources showed a decline trend. As analysis methods, multivariate analysis of quantitative methods was most used. Finally, as a result of analyzing main author's characteristics, the ratio of the authors belonging to health administration and nursing departments of the academic world increased gradually. In the regional distribution, organizations in Seoul are most common, those in Daegu Gyeongbuk areas, foreign organizations showed a tendency to decrease. This is the first study to examine the annual trend on hospital management-related research issues among articles published in domestic journal and we found qualitative and quantitative advances in hospital management research filed.