• Journal of the Health Care and Life Science
• /
• v.9 no.1
• /
• pp.1-9
• /
• 2021

In this study, a model in which certification standards were added to the health information management practice program was studied and presented in order to understand the EMR certification standards implemented by the Korea Health and Medical Information Service. In the practice program, the certification standard function for patient information management was added to the health information management education system to practice and understand patient information management that corresponds to the functional standard of the EMR certification system. The EMR certification standard practice program for patient information management is composed of the following certification standards. registration number and personal information management, treatment reservation schedule management, personal information revision history management, identification of people with the same name, integrated management of multiple registration numbers, patient search by identification information, patient search by health care type, surgical procedure consent record and inquiry, record/inquiry of consent form for personal information use, display of life-sustaining medical decision information, registration/inquiry of external medical institution documents, registration and inquiry of external examination results. In this way, by operating and practicing the functions of the health information system according to the certification standards, it is possible to understand and practice the certification standards and details of patient information management in the functional area of the certification standards. In addition, since the function of the EMR certification standard can be checked, it will be possible to improve the management ability of the electronic medical record system of the health information manager in the medical institution.

• Korean Journal of Family Social Work
• /
• no.55
• /
• pp.5-30
• /
• 2017

This study aims to analyze the influence of network of elderly with his or her non cohabiting children on their depression and its regional differences between urban and rural areas. The analysis is based on the sample of 1,609 elderly of 65 and above (1,011 Urban residents and 598 Rural residents) from the third time span(year 2010) to the fifth time span(year 2014) collected by the Korean Longitudinal Study of Ageing, whose research conducted by Korea Employment Information Service. First, it is found that rural elderly are more likely to suffer from depression than urban elderly. Second, it is found that rural elderly have on average a bigger number of non cohabiting children in their network, whereas geographical proximity and frequency in meeting, and economic support is stronger upon urban elderly. Third, urban elderly tend to suffer from depression as the frequency of phone calls with their non cohabiting children increases with time, and as the frequency of meeting and relationship satisfaction is decreases with time, whereas rural elderly tend to suffer from depression as their geographical proximity with their non cohabiting children is decreases with time. Based on the results of this analysis, this study further suggests practical policy interventions to prevent elderly depression.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.22 no.3
• /
• pp.146-154
• /
• 2019

Recently, a system has been developed and applied to establish and utilize HD maps through R&D. The biggest problem, however, is the lack of a proper HD map update system, which requires the development and adoption of such a system as soon as possible. In addition, in the case of updating HD maps for automated driving, integrity and accuracy of maps are required for safe driving, so an test of these technologies and data quality is required. In April 2018, the Ministry of Land, Infrastructure and Transport implemented a project to 'Develop Technology to Demonstrate and Share the Instant Road Change Detection and Update Technology for automated driving. This paper analyzed the technology for updating map based on the investigation and analysis of relevant technology trends for the development of integrated demonstration and sharing technology of road change rapid detection and updating map technology, and put forward the criteria for road change rapid detection, integrated quality verification of update technology. It is expected that the results of this study will contribute to quality assurance of HD maps that support safety driving for automated vehicles.

• The Korean Journal of Archival Studies
• /
• no.39
• /
• pp.139-191
• /
• 2014

Government publications, as the important media of communication between the public and the government, have served as informational sources to provide a variety of information. Although technological development led into sharp changes in the types and services of government publications, the Korean service of government publications has yet to respond to the changes properly. The web service of government publications is provided only in the archives-based way with no consideration of the characteristics of the government publications, so that it is considerably difficult to use the service. Therefore, based on literature research, request of information disclosure, website survey, and interviews, this work overhauled the web service of government publications provided by the National Archives of Korea, and suggested an improvement plan of the service. This study is meaningful in the point that it suggested an improvement plan for the web service of government publications, which have been managed as a sort of archives but have been placed in the blind spot of service, through interviews with the persons in charge of government publications in relevant public organizations and the National Archives of Korea.

• Management & Information Systems Review
• /
• v.38 no.1
• /
• pp.63-81
• /
• 2019

In order to overcome the disadvantages of banner ad, pop-up ad, interstitial ad, which are existing web advertisement forms, native ad is actively utilized. Native advertising is considered to be a useful advertising technique in that it can reduce users' rejection and attract attention. However, in recent years, there have been a lot of fake news and fake contents that have turned articles or video contents into advertisements. The purpose of this study is to understand how firms can coordinate and control native advertisements in a rational way. For this analysis, we conducted a survey of 308 social media users using quota sampling method. As a result of the verification, it was found that the more negative the perception of the evaluation of the advertisement, the less the level of persuasion about the advertisement and the negative impact on the website where the advertisement is exposed. In addition, this study examined the influence of the negative stimulus factors on the qualitative performance of the firm. As a result, it was found that source non-expert had the highest effect on skepticism on ad. Also, platform overflow has a direct effect on the evaluation of the website as well as the negative evaluation of the advertisement. Moreover, this study provides concrete implications for the subdivision market by verifying the differences between the paths according to the level of website involvement.

• The Journal of Bigdata
• /
• v.3 no.2
• /
• pp.19-33
• /
• 2018

Owing to the increase of FTA, food trade, and versatile preferences of consumers, food import has increased at tremendous rate every year. While the inspection check of imported food accounts for about 20% of the total food import, the budget and manpower necessary for the government's import inspection control is reaching its limit. The sudden import food accidents can cause enormous social and economic losses. Therefore, predictive system to forecast the compliance of food import with its preemptive measures will greatly improve the efficiency and effectiveness of import safety control management. There has already been a huge data accumulated from the past. The processed foods account for 75% of the total food import in the import food sector. The analysis of big data and the application of analytical techniques are also used to extract meaningful information from a large amount of data. Unfortunately, not many studies have been done regarding analyzing the import food and its implication with understanding the big data of food import. In this context, this study applied a variety of classification algorithms in the field of machine learning and suggested a data preprocessing method through the generation of new derivative variables to improve the accuracy of the model. In addition, the present study compared the performance of the predictive classification algorithms with the general base classifier. The Gaussian Naïve Bayes prediction model among various base classifiers showed the best performance to detect and predict the nonconformity of imported food. In the future, it is expected that the application of the abnormality detection model using the Gaussian Naïve Bayes. The predictive model will reduce the burdens of the inspection of import food and increase the non-conformity rate, which will have a great effect on the efficiency of the food import safety control and the speed of import customs clearance.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.133-144
• /
• 2019

The purpose of this study is to analyze the difference in perceptions of job applicants on core competency in the recruitment environment based on National Competence Standards(NCS), and also to obtain information relating to the seeking of employment and employment education plans. A survey and paired t-test were conducted on 355 job applicants of vocational colleges and four-year universities. Through these applicants, the difference between the current level and level of importance dependent on areas of core competency was analyzed. In addition, IPA analysis was conducted in order to confirm the educational necessity in this area. As a result, there were significant differences between the current level and level of importance in all 10 areas. IPA analysis confirmed that educational needs are prioritized. As a result, it was found that the areas which should be strengthened in both groups were interpersonal ability, communication ability, numerical ability, problem solving ability, and self-development ability. The area recognized as being in 'a state of excess' was resource management ability. As a result of checking the necessity levels of the two groups, it was found that job applicants of vocational colleges had to strengthen their problem solving ability, and the applicants of four-year universities had to intensify their communication ability, interpersonal ability, and information ability.

• Korean Journal of Construction Engineering and Management
• /
• v.20 no.3
• /
• pp.54-63
• /
• 2019

Corporate Sustainability Management (CSM) is management approach and strategies that have grown in importance in recent years. and it is becoming increasingly important to organizations in every industry including the construction industry as well. It is important to establish and continuously manage and improve the strategies at the industrial and enterprise level and also to understand their trend. The most practical way to understand the overall sustainability management strategies and trend of construction companies is to analyze the sustainability management report of representative construction companies and to derive keywords for sustainability management, and then analyzed them using big data. The objective of the study is to analyze the trend of CSM strategies of Korean contractors in terms of key characteristics and implications by big data analysis employing keywords identified in the CSM reports of five major contractors in the Korean construction industry. Understanding the sustainable management strategy trend of construction companies has important significance in terms of being able to find out the issues that the construction industry and construction companies should focus on in order to pro-actively prepare for the future.

• Journal of agricultural medicine and community health
• /
• v.46 no.2
• /
• pp.67-77
• /
• 2021

Objectives: This study aimed to identify the vaccination rate for pneumococcus among aged 65 or older, and at the same time to determine the reasons for vaccination or non-vaccination. Methods: The population of this study was aged 65 or older, with a total of 1,150 subjects to be analyzed and a computer assisted telephone interviewing was used. The survey included pneumococcal vaccination status, reasons of vaccination, sources of information on vaccination, reasons for not vaccination, and other related factors. Results: The vaccination rate for pneumococcus among aged 65 or older was 56.2 percent, lower than 69.0 percent in the U.S. (2017), and 69.2 percent in the U.K. (2019). Among the factors related to the pneumococcal vaccination, the groups with the high vaccination rate were women, low age groups, residents of urban areas, people without a job, people with high education, medical insurance subscribers, married people, and people who have family members. In addition, the groups with high vaccination rates were those with high awareness, those who received recommendations from doctors, those who had vaccination records, those who believed in vaccination effects, and those who saw public service advertisements. Conclusions: In the future, it is necessary to develop alternatives to accurately manage vaccination records for adults who are not eligible for state support, and regular adult vaccination rates should be calculated so that they can be used as evidence for the country's infection control policy.

• Journal of the Korean Society for information Management
• /
• v.37 no.4
• /
• pp.1-26
• /
• 2020

In today's increasingly data-intensive academic environment, data is becoming the foundation of academic communication as a research outcome rather than a research by-product. However, there is a limit to guaranteeing actual data reuse only by expanding the data supply or securing accessibility. In order to overcome this, it is necessary to understand the data reuse behavior and data needs in-depth. Therefore, this study attempted to identify the major data reuse behavior and data needs among researchers. To this end, the authors of KCI papers among the data reuse documents of the Korea Social Science Data Archive (KOSSDA) for the past 3 years were targeted. An in-depth interview was conducted with 12 researchers who accepted the interview. As a result, factors considered when reusing data were personal, economic, technical, and social aspects, and it was found that the data itself was used or contextual information of the data was used depending on the purpose of data reuse. The path to acquiring data is a web-based source of information, and a path through informal communication can also be found. In terms of the data needs, it was found that they prefer English, the United States, and institutional producers. Also they have a clear preference for quantitative data from an interviewer-filled interpersonal interview survey method, rich metadata along with raw data, and data that contains identification information. However, due to the lack of confidence in the value, it is negative for the use of data with controlled access and use, and it is difficult to confirm a clear preference because there is no similar data available for selection in terms of size and freshness.