• Journal of Korean Clinical Nursing Research
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• v.20 no.2
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• pp.162-176
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• 2014

Purpose: The purpose of this study was to perform an operating room nursing activities analysis and estimate nursing intensity of each nursing activity based on the Relative Value Scale (RVS). Methods: The methodology for this study of RVS was based on the work of Hsiao et al. The first stage was to identify nursing activities and the second to measure intensity of nursing activities including technical skill, mental effort, and stress. Results: Calculation of the RVS for 99 nursing practices showed a score range from 300.00 to 1337.78. CS operation assistant, OS operation assistant, and obtaining certification had high nursing intensity. Surgical hand washing, putting on surgical gowns, surgical gloves and surgical caps and mask had low nursing intensity. Conclusion: The activities of operating room are not compensated separately but reimbursement is usually included in physician fees. In the future, an estimation of nursing cost should show the nursing contribution rate to total operation revenue.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.25 no.1
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• pp.67-77
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• 2018

Purpose: The purpose of this study was to compare the efficiency of general ward nurses in hospitals using Data Envelopment Analysis (DEA). Methods: Participants were 30 nurses working at a general ward. Input variables were labor cost and time of direct nursing. Output variables were prevention rate of medication error and bedsores, and patient satisfaction. These variables were extracted using literature review and CVI of an expert group. Data were collected from September 18 to October 7, 2017. Data were analyzed using EMS 3.1 program for DEA and descriptive statistics. Results: The average efficiency score of 30 nurses was 0.986, which was very high over all. In the super-efficiency analysis of 11 nurses, their efficiency ranged from 1.0 to 1.047. In addition, when the current output was fixed, the labor cost of nurses did not affect efficiency. Conclusion: This study attempted a new approach concerning performance evaluation of nurses using DEA. This method was useful during appraisal of nurses. We suggest that various input and output variables that were not considered in this study should be added to develop a integrative performance analysis model for nurses.

• Journal of Korean Society of Water and Wastewater
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• v.29 no.6
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• pp.667-683
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• 2015

Since aged water treatment facilities could threaten the sustainable water supply, asset management system has been adopted for their systematic management. Level of Service(LoS) is one of critical components of asset management and could be quantified through benchmark index(BMI). Water supplier could estimate consumer's satisfaction and their performance through BMI to improve the LoS. We developed BMI for water treatment facilities from customer's satisfaction survey. BMI, represented with the Total Service Score(TSS), was assessed with water quality, water pressure, taste and odor, water rate, and service quality with weighing factors. BMI could, further, be used to assist the analysis of the life cycle cost to increase the unit of LoS.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.12
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• pp.174-182
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• 2015

In this paper, we developed the small size RGB sensor that recognizes a long distance using a low-cost color sensor. Light receiving portion of the sensor was used as a camera lens for far distance recognition, and illuminating unit was increased the strength of the light by using a high-power white LED and a lens mounted on the reflector. RGB color recognition algorithm consists of the learning process and the realtime recognition process. We obtain a normalized RGB color reference data in the learning process using the specimens painted with target colors, and classifies the three colors using the Mahalanobis distance in recognition process. We apply the developed the RGB color recognition sensor to a prototype of the part classification system and evaluate the performance of its.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.4
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• pp.33-40
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• 2020

In order to satisfy customers, it is important to identify the quality elements that affect customers' satisfaction. The Kano model has been widely used in identifying multi-dimensional quality attributes in this purpose. However, the model suffers from various shortcomings and limitations, especially those related to survey practices such as the data amount, reply attitude and cost. In this research, a model based on the text sentiment analysis is proposed, which aims to substitute the survey-based data gathering process of Kano models with sentiment analysis. In this model, from the set of opinion text, quality elements for the research are extracted using the morpheme analysis. The opinions' polarity attributes are evaluated using text sentiment analysis, and those polarity text items are transformed into equivalent Kano survey questions. Replies for the transformed survey questions are generated based on the total score of the original data. Then, the question-reply set is analyzed using both the original Kano evaluation method and the satisfaction index method. The proposed research model has been tested using a large amount of data of public IT service project evaluations. The result shows that it can replace the existing practice and it promises advantages in terms of quality and cost of data gathering. The authors hope that the proposed model of this research may serve as a new quality analysis model for a wide range of areas.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1285-1291
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• 2022

In this paper, we propose a low-cost, low-power embedded environment-based deep learning lightweight model for input images to recognize laundry management codes. Laundry franchise companies mainly use barcode recognition-based systems to record laundry consignee information and laundry information for laundry collection management. Conventional laundry collection management systems using barcodes require barcode printing costs, and due to barcode damage and contamination, it is necessary to improve the cost of reprinting the barcode book in its entirety of 1 billion won annually. It is also difficult to do. Recognition performance is improved by applying the VGG model with 7 layers, which is a reduced-transformation of the VGGNet model for number recognition. As a result of the numerical recognition experiment of service parts drawings, the proposed method obtained a significantly improved result over the conventional method with an F1-Score of 0.95.

• Korean Journal of Schizophrenia Research
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• v.22 no.1
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• pp.8-13
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• 2019

Objectives: The aim of this study was to explore the prevalence of type 1 diabetes in patients with schizophrenia and their total medical costs and risk of hospitalization. Methods: This study used Health Insurance Review and Assessment Service data in Korea. To examine total medical costs and risk of hospitalization, we selected 1,510 subjects with schizophrenia (half with and half without type 1 diabetes) that were 1:1 matched via propensity score matching. In health care system perspective, total medical costs included out-of-pocket and insurer's costs. Logistic regression models were used to examine the risk of hospitalization. Results: The prevalence of type 1 diabetes in patients with schizophrenia was 3.87 per 1,000 person year. Among patients with schizophrenia, the amount of total average medical costs and hospitalization costs in patients with type 1 diabetes was 1.49 and 1.59 times higher than those in patients without it, respectively. The odds of hospitalization were higher among patients with type 1 diabetes compared with those without it (odds ratio, OR=1.97 ; 95% CI 1.60-2.43). Conclusion: This study showed that medical costs and risk of hospitalization were higher in schizophrenia patients with type 1 diabetes. Therefore, these individuals may require specific care programs.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.43 no.5
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• pp.305-311
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• 2017

Objectives: TNM staging, especially for lymph node metastasis, is the scoring system most widely used among prognostic factors for cancer survival. Several biomarkers have been studied as serologic markers, but their specificity is low and clinical applications are difficult. This study aimed to establish a scoring system for patients with oral squamous cell carcinoma (OSCC) using platelet (PLT) and mean platelet volume (MPV) levels measured postoperatively and to evaluate their significance as prognostic factors. Materials and Methods: We studied 40 patients admitted to the Department of Oral and Maxillofacial Surgery of Dankook University Hospital who were diagnosed with primary OSCC histopathologically between May 2006 and May 2012. Clinical pathological information obtained from the medical records of each patient included age, sex, height, weight, tumor location, degree of differentiation, tumor diameter, lymph node metastasis, TNM stage, and other test values including white blood cell, MPV, PLT, C-reactive protein (CRP), and albumin obtained through a test conducted within 7 days before surgery. Count of platelet (COP)-MPV Score: Patients with both PLT and MPV values below the cut-off values were defined as score 0 (group A). Patients with at least one of the two higher than the cut-off value were defined as score 1 (group B). Results: Univariate analyses showed N-metastasis, COP-MPV (A vs B), PLT, platelet-lymphocyte ratio, and CRP were statistically significant prognostic factors. A multivariate Cox proportional hazards model showed N-metastasis (hazard ratio [HR] 6.227, P=0.016) and COP-MPV (A vs B) (HR 18.992, P=0.013) were independent prognostic factors with a significant effect on survival. Conclusion: COP-MPV score is a simple and cost-effective test method and is considered a more effective prognostic factor than other considered factors in predicting the prognosis of OSCC patients.

• Asian Journal for Public Opinion Research
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• v.5 no.2
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• pp.63-83
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• 2018

This exploratory research investigated the factors that influence foreign tourists' decision to use dental services in Thailand. The questionnaire was used to collect data from foreign tourists who used dental services in a hospital or dental clinic in Thailand. Data from 233 respondents completed questionnaires were analyzed using frequency distribution, percentages, mean, and standard deviation. The findings revealed that respondents were most likely to be Asian (54.5%) followed by European (33.9%), females (64.8%) aged between 26-35 years (39.1%), business owners (45.9%), and came to Thailand with friends (47.6%). Regarding travel purposes and contact with dental services, most of them travel for pleasure (52.89%) and contact the clinic directly through the Internet(63.95%) The health/medical services used included health check-up (34.48%), dental services (29.22%), and day spa/massage (23.23%). The dental treatment that respondents had completed or planned to do included dental check-up (29.87%), tooth cleaning (26.68%), and tooth whitening (11.41%). Based on the influence of $_7P$ factors towards the respondent's decision to use the dental service, it was found that the average mean score range from 4.33-4.15 which were at the high to the very high level of influence to their decisions. The people factor had the highest average mean score (mean 4.33, SD= 0.604)followed by the price factor (mean 4.32, SD= 0.651), which both had the highest level of influence. The physical evidence factor had the lowest mean score (mean 4.15, SD+0.752) which was at the high level of importance. It should be noted that the factor concerning the modern technology and dental equipment (mean 4.33, SD=0.606) and factor on the quality of service (mean 4.43, SD= 0.598) had the highest mean score followed by the total cost of the trip including services being reasonable (mean 4.37, SD=0.582). Regarding the country factor, it was found that this factor also had highest influence level (mean 4.30, SD=0.67) and affordability had the highest mean score (mean 4.39, SD=0.614).

• Health Policy and Management
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• v.17 no.4
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• pp.113-133
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• 2007

The present study was conducted to measure health-related utility for post-menopausal symptoms among Korean woman. A survey questionnaire was developed to measure utility based on visual analogue scale(VAS) and time trade-off method (TTO). From January 29 to February 3, 2007, a face-to-face interview was conducted with 274 women aged 45 to 60 to ask about their subjective utility for hypothetical health status of mild or severe post-menopausal symptoms. Among the participants, 160 were recruited from outpatient departments of 3 hospitals and 114 from 2 sports centers located in Seoul. For mild symptom, the average utility score of the respondents was $0.63{\pm}0.14$ based on VAS and $0.61{\pm}0.26$ based on ITO. For severe symptoms, the average utility was $0.39{\pm}0.16$(VAS) and $0.44{\pm}0.27$ (TTO). For severe symptom, a higher utility score was observed for TTO than for VAS, which is consistent with earlier studies and thus supports the validity of the utility measurement in this study. Overall, the severity of post-menopausal symptoms of the respondents themselves was not significantly associated with the utility score that the respondents answered for hypothetical health status. Multiple regression analysis results showed that the utility score was significantly higher among respondents with older age, higher education, higher family income, and from hospitals. It is expected that the utility score measured in this study will enhance the understanding of the quality of life of women after menopause and will be used to conduct cost-utility analysis of health care interventions to treat post-menopausal symptoms.