• Health Policy and Management
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• v.15 no.2
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• pp.37-52
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• 2005

This study was performed to explore multidimensional customer royalties and relating factors. 900 households, $1\%$ sample were randomly selected from K city located in Kangwon province. Interview survey was performed with structured Questionnaire for the entire people, 923 persons who experienced medical service utilization during one year before survey on time, september, 2004. In comparison of customer royalties by sociodemographic characteristics, the older group showed the higher level of cognitive and attitudinal royalties significantly. Education and income level also, showed negative relationship with cognitive, attitudinal and behavioral loyalties significantly. The more being a female and a visitor at oriental medicine clinic, the higher level of attitudinal loyalties. Customer satisfaction was a critical explaining variable for cognitive, attitudinal and behavioral loyalties. In multiple regression analysis, some sociodemographic characteristics showed significant relation with customer loyalties and customer satisfaction was the strongest relating variable to customer loyalties. In conclusion, multidimensional approach for customer loyalty is useful for understanding customer behaviors comprehensively. Future studies should focus on developing the more specific and valid measurement tools for customer loyalty in medical service.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.125-132
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• 2011

In this study investigated what buyers want and expect from medical equipment industry. In this study we found as fellows, (a) The quality of instrument is the most important factors that lead to customer purchase intent and brand image follwed by reliability and efficiency in order; (b) Customers perception of company did not show any meaningful relationship with brand image suggesting company positive image perceived by the customers would not necessarily have a positive impact on brand image. Rather, if brand image customer perceived gets higher, considerably higher purchase intention was observed. Therefore, the findings from the present study suggest that medical instrument manufactures need to focus more on providing a long-term high quality of service marketing strategy to increase customer satisfaction and purchase intent in this competitive business environment.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.61-69
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• 2011

Data mining that can not be extracted with a simple query in the form of "useful" means to find information in large databases from the existing and unknown knowledge. It is based on this insight about the data can be defined as a gain. In this paper, we use the Internet to find useful patterns on the Web or saved data to the target Web site, which is to analyze the characteristics of users. A general statistical information on Internet users to the data by applying a relevance analysis, Internet use affect the amount of time to analyze the characteristics of Internet users. Only through experiments extracting data from the association rules, producing optimal results apply for the data pre-processing and algorithm for mining the Web to Internet users. characteristics were analyzed.

• International Journal of Advanced Culture Technology
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• v.6 no.1
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• pp.60-67
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• 2018

In this paper, the pattern of extracting the same expression is proposed by using the Android intelligent device to identify the facial expression. The understanding and expression of expression are very important to human computer interaction, and the technology to identify human expressions is very popular. Instead of searching for the symbols that users often use, you can identify facial expressions with a camera, which is a useful technique that can be used now. This thesis puts forward the technology of the third data is available on the website of the set, use the content to improve the infrastructure of the facial expression recognition accuracy, to improve the synthesis of neural network algorithm, making the facial expression recognition model, the user's facial expressions and similar expressions, reached 66%. It doesn't need to search for symbols. If you use the camera to recognize the expression, it will appear symbols immediately. So, this service is the symbols used when people send messages to others, and it can feel a lot of convenience. In countless symbols, there is no need to find symbols, which is an increasing trend in deep learning. So, we need to use more suitable algorithm for expression recognition, and then improve accuracy.

• The Journal of the Convergence on Culture Technology
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• v.1 no.1
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• pp.65-68
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• 2015

It has been reported that cerebral disease is the most fatal as a single disease, standing next to cancer as the most important cause of death in Korea. Even though patients maintain their lives, they will have to suffer from side effects such as hemiplegia and language disorders. In this paper, the symptoms and treatment of cerebral infarction cases are described through the medical dramas (The Third Hospital, The Brain) and movie (Amur). Even if there is the same stroke in each drama or movie, each receives different treatment depending on the previous history or current physical condition of the patient.

• Korean Journal of Artificial Intelligence
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• v.10 no.2
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• pp.7-11
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• 2022

OLED displays cannot be used permanently due to burn-in or generation of dark spots due to degradation. Therefore, the time when the display can operate normally is very important. It is close to impossible to physically measure the time when the display operates normally. Therefore, the time that works normally should be predicted in a way other than a physical way. Therefore, if you do computer simulations based on artificial intelligence, you can increase the accuracy of prediction by saving time and continuous learning. Therefore, if we do computer simulations based on artificial intelligence, we can increase the accuracy of prediction by saving time and continuous learning. In this paper, a dataset in the form of development from generation to diffusion of dark spots, which is one of the causes related to the life of OLED, was generated by applying the finite element method. The dark spots were generated in nine conditions, such as 0.1 to 2.0 ㎛ with the size of pinholes, the number was 10 to 100, and 50% with water content. The learning data created in this way may be a criterion for generating an artificial intelligence-based dataset.

• Journal of Biomedical Engineering Research
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• v.43 no.4
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• pp.199-213
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• 2022

EN ISO 14971:2012 a risk management standard approved and applied as a European standard in 2012, will be adopted and applied as ISO 14971:2019 published in December 2019, ISO/TR 24971(Guidance) published in June 2020 from May 2022. After that, it is applied to IVDD surveillance and IVDR new and conversion, and the manufacturer is already preparing for application or is starting preparation for application. In addition, 98/78/EEC IVDD applied from 1998 will also be applied as REGULATION (EU) 2017/746 IVDR from May 2022. In particular, in IVDR, the requirements for post-marketing investigations such as Post Market Surveillance (PMS), Summary of safety and performance(SSP), Periodic Safety Update Report(PSUR) and Post Market Performance Follow Up(PMPF), which were not required in the existing IVDD, increased, and the contents were also specified. This study focused on ISO14971:2019 among these strengthened and newly applied regulations, and tried to present a detailed analysis and application plan of Post Market Surveillance (PMS) required by 2017/746 IVDR.

• Journal of Korean Clinical Nursing Research
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• v.15 no.2
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• pp.103-114
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• 2009

Purpose: The purpose of this study was to investigate factors which affect the quality of nursing services and intention to revisit as perceived by hospitalized patients and nurses in medium sized urban hospitals. Methods: The SERVQUAL scale, a measurement of overall nursing services and intention to revisit a medical institution, was used. The sample consisted of 223 patients and 239 nurses from four medium sized hospitals in I city. Frequencies, t-test, One-way ANOVA, Pearson correlation coefficient and Stepwise method regression were used to analyze the data. Results: For expectation, nurse and patient perceptions were similar, but for performance, patient perception was significantly higher than nurse perception for five factors. The factors affecting intention to revisit the hospital were those recommending, satisfaction with medical and nursing services. Conclusion: The findings indicate that differences between expectations and performance for both patients and nurses need to be reduced in order to elevate patient satisfaction. A precondition for intention to revisit and increased satisfaction is the development of marketing strategies as well as intervention programs in nursing.

• Journal of Biomedical Engineering Research
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• v.45 no.4
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• pp.187-194
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• 2024

In this study, text network analysis was performed using PMS(Post-Marketing Surveillance) data collected from the FDA's MAUDE(Manufacturer and User Facility Device Experience) database to evaluate the usability of the central monitoring system. Based on the data reported from January 1, 2021 to June 30, 2023, keywords related to the central monitoring system were extracted and visualized with a text network. By analyzing the eigenvector centrality of text network, we identified hazards and types of hazardous situations related to usability of the central monitoring system. Eigenvector centrality was chosen because it is relatively more accurate than other centralities. In addition, we derived an appropriate use scenario to evaluate the usability of the central monitoring system. The research results provide more realistic and valuable insights through data derived based on actual adverse event cases, and are expected to contribute to improving safety and reliability by identifying user requirements for improved usability and reducing use errors in the future.

• Journal of Service Research and Studies
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• v.9 no.4
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• pp.63-80
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• 2019

This study presents strategic implications for enhancing the competitiveness of the comprehensive health examination center through the study of its impact on the switching barrier with medical service value and medical service satisfaction as parameters. In order to achieve the purpose of this study, a total of 324 questionnaires were analyzed for customers who received health examinations at the general examination center. Covariance structure analysis was performed to test hypotheses and causal relationships. The results showed that the physical environment had a significant effect on the medical service value and medical service satisfaction. The value of medical service also had a significant effect on medical service satisfaction. The value of medical service was found to affect the transition barrier, but the satisfaction of medical service did not affect the transition barrier. The implications of this study are that physical environment has a significant effect on medical service value and medical service satisfaction. Therefore, modern medical equipment should be equipped with the latest medical equipment to minimize accurate examination and misdiagnosis through modernization of medical examination center. In addition, since the value of medical service has a significant effect on the switching barrier, it is necessary to establish a plan to enhance the value of medical service. We need to promote sustainable customer retention and creation of new customers through differentiated screening items and cost advantages over competitors. In addition to check-up services, efforts should be made to enhance the value of services such as strengthening medical communication and medical complex cultural spaces, and at the same time, establish an organizational culture of customer-first examination centers through the placement of excellent personnel and continuous education.