Purposes: The Common Data Model(CDM) is very important for multi-institutional research. There are various domestic and international CDM construction cases to actively utilize it. In order to construct a CDM, different terms from each institution must be mapped to standard terms. Therefore, we intend to derive the importance and major issues of terminology mapping and propose a solution in CDM construction. Methodology/Approach: This study conducted terminology mapping between Electronic Health Record(EHR) and MOA CDM for constructing Medical Record Observation & Assessment for Drug Safety(MOA) CDM at Dankook University Hospital in 2022. In the process of terminology mapping, a CDM standard terminology process and method were developed and terminology mapping was performed by applying this. The constructions of CDM mapping terms proceeded in the order of diagnosis, drug, measurement, and treatment_procedure. Findings: We developed mapping guideline for CDM construction and used this for mapping. A total of 670,993 EHR data from Dankook University Hospital(January 1, 2013 to December 31, 2021) were mapped. In the case of diagnosis terminology, 19,413 were completely mapped. Drug terminology mapped 92.1% of 2,795. Measurement terminology mapped 94.5% of 7,254 cases. Treatment and procedure were mapped to 2,181 cases, which are the number of mapping targets. Practical Implications: This study found the importance of constructing MOA CDM for drug side effect monitoring and developed terminology mapping guideline. Our results would be useful for all future researchers who are conducting terminology mapping when constructing CDM.

Purposes: The purpose of this study is to analyze cases of development and operation of a mentoring program that provides psychological support to new employees and helps them adapt to work, thereby applying it to actual work and laying the foundation for follow-up research. Methodology: We explored the development and application process of A Hospital mentoring program by applying the mentoring program model developed according to the procedures of the ADDIE model, and confirmed the perceptions of participants who participated in the training course through analysis of activity logs and in-depth interviews. Findings: The main results of the case analysis are as follows. First, the curriculum was developed according to the stages of analysis, design, development, implementation, and evaluation. As a result of activity log and in-depth interview analysis, participants recognized that the mentoring program was helpful in forming social relationships, organizational adaptation, and preventing job turnover, and recognized difficulties in communication. Participants mentioned supplementing the operating system. Practical Implication: The results of a systematic review of the application and effectiveness of mentoring programs for new employees can serve as reference material for practical program design.

Purpose: This study was performed to determine whether positive psychological capital and role conflict among hospital nurses influence patient safety competencies. Methods: Data were collected from nurses working at one hospital with more than 800 beds in J Province. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffé's test, Pearson's correlation analysis and hierarchical regression analysis using SPSS 26.0 program. Findings: In the hierarchical regression analysis, positive psychological capital, role conflict, bachelor's degree or higher as the highest level of education achieved, and three or more experiences reporting accidents impacting patient safety were found to significantly correlate with subjects patient safety competency. Among these, positive psychological capital emerged as the strongest factor, and the explanatory power of Model 4 was determined to be 38.1%. Conclusion: This study confirmed that hospital nurses' positive psychological capital and role conflict impact patient safety competency, underscoring the importance of organizational measures to increase patient safety awareness. Therefore, it is necessary to develop an educational program to strengthen hospital nurses' patient safety capabilities and conduct follow-up research to test its efficacy.

Objective: This study was conducted to provide basic data for the establishment of effective health policies for the unmet medical experience that may occur among the elderly depending on whether they live in a singleperson household or not. Methodology: This study used data from the 8th National Health and Nutrition Examination Survey (2019-2020) and excluded cases with missing values in variables for the total number of respondent participants of 15,469. Finally, 2,850 subjects aged 65 or older were selected for final analysis. This study examined the relationship between experiences of unmet medical needs, attempting to confirm the relationship between single-person households and unmet medical needs through subgroup analysis considering gender, age, and household income. Results: According to the results, in the case of single-person households, the odds ratio (OR) for unmet medical needs was significantly higher at 1.60 times (95% CI: 1.16-2.21). Upon conducting subgroup analyses for gender, age, and household income quintiles, the OR was significantly higher at 2.24 times (95% CI: 1.14-4.41) for males and 1.48 times (95% CI: 1.02-2.14) for females, statistically significant in both cases. For individuals aged 65-69, the OR was significantly higher at 1.90 times (95% CI: 1.04-3.47), but for those aged 70-74 and over 75, it was not statistically significant. In the case of households with 'low' income, the OR was higher at 1.62 times (95% CI: 1.16-2.26), and for 'middle' income, it was significantly higher at 3.21 times (95% CI: 1.08-9.51). Conclusion: This study confirmed that the experience of unmet medical care is high among men who make up single-person households and low-income seniors. Therefore, this study suggests that policies to expand medical services and support welfare for single-person households should be established to resolve these problems, showing that health policies that take into account individual and regional characteristics are needed to improve medical accessibility for single-person households.

Purposes: This study aims to analyze the correlation with the current status of the medical resident application rate, physician's income, and non-benefit rates of majors in each specialty subject and to suggest implications. Methodology: First, it analyzes the correlation between the medical resident application rate by specialty subject and the income of physicians. Second, it analyzes the correlation between the income of specialists and the non-benefit rate for each specialty subject at the clinic level. Findings: First, a significant positive correlation was found between the medical resident application rate and the average physician's income for each specialty subject (r=.718, p<.01). Second, a significant positive correlation was observed between physician income at the practitioner level by medical specialty and the non-benefit rate (r=.726, p<.01). Practical Implications: In this study, the correlation between medical resident application rate by specialty subject and physician's income, non-payment and physician's income was confirmed. Choosing a department that is less risky and can earn higher income is a natural phenomenon, but it is necessary to adjust the physicians crowding phenomenon to a specific specialty subject at the government level to maintain the medical system.

Purposes: This study aims to identify the characteristics of the study subjects by age, including non-elderly people aged 19 to 65, pre-elderly people aged 65 to 75, and elderly people aged 75 and over, and to identify factors affecting health literacy based on an investigation of the health literacy level of each study group. This study would like to find out the differences in health literacy factors by age group. Methodology: The HLS-EU-Q16, developed by the World Health Organization Regional Office for Europe for the Health literacy Survey of Europeans, will be applied in this study. Findings: We found that scores decreased in order of nonelderly, pre-elderly, and late-elderly in health care, disease prevention, and health promotion. In addition, health literacy was lower in the older age group, and higher health literacy was associated with being unmarried, higher education, and higher income. In terms of influencing factors, marital status was significantly different in the non-elderly group, and higher education level was associated with higher health literacy. Practical Implications: The results of this study show that health literacy levels are low in all age groups, and efforts to improve health literacy in younger, older, and non-elderly groups are needed. It is expected that age-specific health literacy strategies can help improve the level of understanding and utilization of health information, improve health, and lead a healthy life.