• Journal of Korean Society for Quality Management
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• v.37 no.4
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• pp.71-86
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• 2009

The healthcare environment today is changing rapidly with factors of healthcare consumers in selecting medical institutions also altering at a fast pace under the circumstances. In this study, the theory of consumption values established by Sheth in 1991 is adopted in order to examine particular value affecting consumer selection of healthcare institutions. For the purpose of this study, healthcare consumers were surveyed using questionnaires developed based on the five values of Sheth supplemented by value of effort to acquire hospital information and value in health. Consequently, 24 consumption values affecting selection process were confirmed through discriminant analysis. As a result of regression analysis on factors affecting consumer selection of healthcare institution, effort to acquire hospital information and age among demographic characteristics of respondents are determined important predictors for consumer selection of general hospitals over clinics or small-sized hospitals. Further, service, reputation scale of healthcare institution among functional values and importance of health and effort to acquire hospital information among value in health are identified as significant predictors for consumer selection of large-sized general hospitals over clinic or small-sized hospitals. This study suggests not only vital implications for marketing strategy of healthcare institutions, but also methods to promote positive image for healthcare providers. In addition, this study closely examines the cause of the leaning phenomenon of healthcare comsumers toward large-sized general hospitals.

• Journal of Physiology & Pathology in Korean Medicine
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• v.28 no.4
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• pp.440-445
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• 2014

Korean medical system is unique system that has two medical system, Western medical institution and Korean medical institution. In this environment, patients who use each medical institution have different selection factors. The study explores the selection factors' difference of korean/western medical institutions. The empirical analysis of the surveyed data produced the following outcomes. The result of factor analysis, four factors were extracted. That was Human services, Costs and Physical Environment, Prestige and reputation, Public relations and reliability. Overall, the four selection factor importance scores of Korean medical institution were higher than western medical institution's. These findings show that there is a difference between korean and western medical institutions in terms of selection factors. After this study, More study about medical management and healthcare policy including korean medical characteristics is needed.

• Korea Journal of Hospital Management
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• v.22 no.2
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• pp.58-69
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• 2017

Recently, with the increase in the number of private health insurance subscribers, interest in overuse of the medical service is increasing. This study analyzed the impacts of private health insurance (PHI) on medical institution selection in outpatient service utilization among persons with arthritis. In order to control patients' health status, we extracted outpatient episodes with the same disease (KCD6, M13) from Korea Health Panel. The unit of analysis was an outpatient visit with arthritis in 2014 (n=23,363). In the light of insurance coverage, we redefined three type of private health insurance (ex, indemnity, fixed benefit, and non-insured) as a test variable and two type of medical institution (ex, hospital and physician visit) as a dependent variable. We conducted a probit regression analysis to identify the impacts of PHI on medical institution selection controlling for heteroscedasticity. The results of this study showed that the insured with indemnity were more likely to choose hospital departments than clinics (marginal effect=0.0475, p=0.000). The impact of participation of fixed benefit PHI was not as clear as that of indemnity type (marginal effect=0.0162, p=0.047). In conclusion, this study confirmed that PHI, particularly indemnity type has a significant impact on the selection of medical institutions. Healthcare policy makers should consider that PHI not only affects the overall quantitative increase in healthcare utilization, but also influences the selection of medical institutions.

• Korea Journal of Hospital Management
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• v.12 no.4
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• pp.1-21
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• 2007

The relaxation of the regulation in selection of medical institution allows patients to use their own judgement in choosing proper institution for their diseases. Since the change of the regulation, there should have been many changes in medical institution selection behavior. The analysis of the change in disease specific selection pattern is critical because there be an optimal selection criteria that ensure the efficient and effective utilization of medical resources. This study analysis the institution selection factors by comparing the choice among the cases of acute diseases, the cases of chronic diseases, inpatient services, outpatient services, and emergency medical service. The comparisons performed in terms of size, class and other characteristics of medical institutions. For the study the nationally surveyed database was used and the data were analyzed using logistic regression procedure. The results indicates that the primary care facilities were not properly utilized. This study speculates that the reason for the undesirable pattern of utilization is that the roles of primary care facilities in the healthcare delivery system was not clearly defined. Based on the results, the medical policy implications are discussed.

• International Journal of Advanced Culture Technology
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• v.7 no.2
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• pp.238-243
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• 2019

Recently, the importance of big data continues to be emphasized, and it is applied in various fields based on data mining techniques, which has a great influence on the health care industry. There are many healthcare industries, but only home health care is considered here. However, applying this to real problems does not always give perfect results, which is a problem. Therefore, data mining techniques are used to solve these problems, and the algorithms that affect performance are evaluated. This paper focuses on the effects of healthcare services on patient satisfaction and satisfaction. In order to use the CVParameterSelectin algorithm and the SMOreg algorithm of the classify method of data mining, it was evaluated based on the experiment and the verification of the results. In this paper, we analyzed the services of home health care institutions and the patient satisfaction analysis based on the name, address, service provided by the institution, mood of the patients, etc. In particular, we evaluated the results based on the results of cross validation using these two algorithms. However, the existence of variables that affect the outcome does not give a perfect result. We used the cluster analysis method of weka system to conduct the research of this paper.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.195-209
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• 2020

Objectives: This study aimed to analyze the papers in the Korean Journal of Health Service Management (KJHSM) (2007-2018) in order to identify the research trends and aid the future development of healthcare-related research. Methods: Data collection was conducted from September 1-30, 2019. The KSHSM website and Lorea Citatin Index (KCI) electronic database provided 605 copies of original text. Results: Of these, 538 studies are original articles and 7 studies are review articles; 23.7% of the studies presented conceptual framework, 58.4% implemented convenience extraction, and 64.7% collected data using questionnaires. 29.3% of key words were included in the healthcare service, and 48.5% were excluded from the submission field. Conclusions: For the qualitative improvement and development of the journal, it is necessary to consider the relevance of refinement of the methodological approach, segmentation in the field of submission, and selection of keywords.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.297-307
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• 2015

This study reviews equipped with enhanced capability of medical care, quality service, accessibility, and consumer awareness to be a competitive and representative local healthcare service provider with improved administrative efficiency. The method of analysis are ANOVA and Structural Equation Modeling. The results which revealed the significant difference among demographic factors in determining the preference or degree of satisfaction at medical service to select local healthcare institutions suggest that the close review on the needs of groups of major customers of local healthcare institutions are necessary when preparing the strategy of specialized medical service of local healthcare institutions. this suggests that both images would be important factors to secure the competitive advantage of local healthcare institution and therefore the strategy maximized the enhancement of medical service with embossed image of hospital to attract customers of medical service is needed.

• Journal of Contemporary Eastern Asia
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• v.15 no.1
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• pp.78-97
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• 2016

Living labs are an increasingly popular methodology to enhance innovation. Living labs aim to span boundaries between different organizations, among others Triple helix actors, by acting as a network organization typically in a real-life environment to foster co-creation by user-groups. This paper presents critical factors of Living labs in boundary-spanning between Triple Helix actors. Derived from a mixed-method approach and applications in the healthcare sector, the three main critical factors turn out to be 1) an adequate user-group selection and involvement, specifically a rich interaction and absorption of its results, 2) a balanced involvement of all relevant actors, and 3) a sufficient (early) attention for values, both values of user-groups and values of the management. People-oriented Living labs tend to differ from institution-oriented Living labs regarding these critical factors. Further, universities tend to take on diverse roles and strength of involvement, while the business sector tends to be actively involved only if this has been set as an explicit aim at start. The paper closes with a summary and future research paths.

• Journal of Digital Convergence
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• v.10 no.6
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• pp.303-310
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• 2012

In order to analyze factors that support effective health care delivery system, this study aimed to research general public's perception on the functions of medical institutions(based on the levels of treatment: primary care, secondary care, and tertiary care), choices of medical institution when contracted with an unfamiliar disease, and recognition of diseases based on their severities. We collected data using self-administered survey from 400 general public living in Seoul, S. Korea from April 25 to May 18, 2011. The analysis was conducted using frequency analysis, chi-square test, and t-test; we analyzed the data to see if there are differences based on gender, age, and level of education. The result of both recognition of functional differences of medical institutions and selection of medical institutions when contracted with unfamiliar diseases showed that there were no significant differences based on the gender; however there were significant differences when considering the age and education. Looking at the result of the knowledge of the disease classification based on its severity, there were significant differences in age, gender, and education. In order to provide sustainable and effective health care delivery system, utilization of primary care as well as education and promotion regarding the functional differences of medical institutions and classification of disease based on its severity need to be encouraged.