• Quality Improvement in Health Care
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• v.26 no.1
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• pp.46-54
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• 2020

Purpose: The purpose of this study was to, present basic data on the necessity of introducing assistant staff to support administrative tasks related to patient safety. Methods: This was a cross-sectional study. The participants (n=103) of this study were nurses, working at general and long-term care hospitals in Korea. Data were collected using structured questionnaires on August 29, 2019 and analyzed with SPSS 25.0. Specifically, data analysis was conducted using frequencies, mean and standard deviation, independent t-test, and X²-test. Results: Assistant staff was needed to support patient safety tasks, but this required nurses who could fully perform patient safety tasks by supplementing their work experience rather than employees who only support administrative tasks. This is because the hospital's patient safety management activities are difficult to distinguish between administrative tasks and patient safety tasks, and even nurses with five years of work experience, must be aware of the basic concepts and should have knowledge of patient safety and have gained experience in managing the patient safety activities. Conclusion: Hospitals are calling for an improvement in the system that increases the number of workers in charge of patient safety affairs and lowers their work experience, rather than the introduction of assistant staff who help with patient safety work.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.243-254
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• 2017

Recently, discussions about the guarantee of smart ecological environment have been started in S. Korea. These discussions are becoming more and more popular in the aspect of ubiquitous administrative spatial informatization in utilization using big data as a new paradigm due to the rapid change of information and communication technology, such as the start of smart society and the ubiquitous era. In addition, there is a growing interest in discussing environmental and disaster preservation in terms of ubiquitous smart city construction in smart society. In thisstudy, by applying 'scenario planning' as a foresight method, we have developed a desirable future vision for ubiquitous administrative spatial informatization in terms of preservation of disaster of Kori nuclear power plant like earthquake. In order to establish a high level of city disaster prevention level in S. Korea in 2030 when the big data and big data System will be further intensified in the future, it is necessary to develop advanced ICT city disaster prevention system with big data administrative spatial informatization in terms ofsmart ecological city construction.

• Land and Housing Review
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• v.13 no.1
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• pp.99-112
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• 2022

There is growing significance in securing urban parks and enhancing their accessibility due to irrational residential developments and apartment construction. Accordingly, Daejeon Metropolitan City has carried out urban park management projects to improve the quality of parks and create new parks. Daejeon Metropolitan City generates and manages park data for the purpose of management by the administrative district. However, these datasets take different forms in each administrative district. This study integrates the park data in Daejeon, generated by administrative districts, into the same format and generates geographic information data with the area information of each park for analysis. Analysis results show that urban parks are severely imbalanced across administrative districts, requiring new policy measures. In addition, by normalizing the park analysis results and, then, creating their rankings, this study compares them with the actual park information in detail to confirm the soundness of the dataset. The analysis results provide implications to improve the management of urban parks. This study proposes integrated datasets and the continued management of them in each administrative district by including essential data that can feature the objective information of the parks along with park evaluation indicators based on previous studies.

• Spatial Information Research
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• v.20 no.1
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• pp.47-57
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• 2012

An Administrative Boundary is the basic of spatial information to cover geographical and regional area. Its importance has arisen in our society at the Smart world era. However, it is difficult to serve exact boundary's lines as administrative boundaries are based on the cadastre lines of land register ; these partly are overlay each other or has gaps. So, it Should be adjusted. But, the maintenance work of administration boundaries causes a conflict or confusion unless we offer concrete procedures and detailed plans previously. Therefore, a rational method is required to prevent side-effects such as confusion, disagreem ent and a conflict etc. In this Study, we present a method and 5 step procedures to make better use in a practical maintenance work. we researched on basic studies of Administrative boundary's concept, history. And we performed a field survey as well as analysis of current problems. considering these results, we suggest usage of various spatial data sources, stake-holders' participation, a method of Nearest district's boundaries to maintain administrative boundaries. Throughout the method, we expect it to serve correct boundary-data to various fields without a big confusion. it is also useful to apply its results not only for re-surveying our land but for recording appropriate boundary-data as rational lines.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.2
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• pp.37-46
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• 2009

In this study the infrastructure of PKIMS(ParK Information Management System) was constructed based on SDI(Spatial Data Infrastructure) not only to provide the consistent spatial information of the space called park but also to share the latest information so that administrative officers could make people satisfied for their information request and promote consistent policy for the park management. PKIMS was developed by integrating with SDI for all life cycle of spatial data such as the data generation, use and share so that the efficiency and executive of administrative services could be acquired. Moreover, this construction of successful application system based on SDI would be the very good sample for implementation of NSDI(National Spatial Data Infrastructure).

• The Journal of Bigdata
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• v.7 no.2
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• pp.1-9
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• 2022

In the global era, the importance of imported food safety management is increasing. Address information of overseas food companies is key information for imported food safety management, and must be verified for prompt response and follow-up management in the event of a food risk. However, because each country's address system is different, one verification system cannot verify the addresses of all countries. Also, the purpose of address verification may be different depending on the field used. In this paper, we deal with the problem of classifying a given overseas food business address into the administrative district level of the country. This is because, in the event of harm to imported food, it is necessary to find the administrative district level from the address of the relevant company, and based on this trace the food distribution route or take measures to ban imports. However, in some countries the administrative district level name is omitted from the address, and the same place name is used repeatedly in several administrative district levels, so it is not easy to accurately classify the administrative district level from the address. In this study we propose a deep learning-based administrative district level classification model suitable for this case, and verify the actual address data of overseas food companies. Specifically, a method of training using a label powerset in a multi-label classification model is used. To verify the proposed method, the accuracy was verified for the addresses of overseas manufacturing companies in Ecuador and Vietnam registered with the Ministry of Food and Drug Safety, and the accuracy was improved by 28.1% and 13%, respectively, compared to the existing classification model.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.1
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• pp.57-65
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• 2008

This research is aimed at offering a fundamental data for the adjustment of cadastral inconsistency of administrative boundary areas from this time onward by analyzing actual conditions of cadastral inconsistency at the study areas by the use of digital topographic map and digital cadastral map of si-gun-gu boundary area. As a result of examining the actual condition of cadastral inconsistency at the surveyed areas, the extent of cadastral inconsistency of the neighboring administrative boundary areas was assessed as ${\pm}3.15m$ of RMSE on X coordinates and also assessed as ${\pm}2.85\;m$ of RMSE on Y coordinates; in addition, RMSE of the neighboring district of the administrative boundary areas on X coordinates was assessed as ${\pm}1.33\;m$, and ${\pm}0.75\;m$ of RMSE on Y coordinates respectively-thus, this research could suggest the fact that there has arisen a lot of cadastral inconsistency areas at administrative boundary areas.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.2
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• pp.139-160
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• 2020

Since the Public Records Management Act was enacted in 2007, the administrative information system has already been included in the electronic records production system, and dataset has been subject to record management as a type of electronic records. With the recent revision of the enforcement decree, dataset records management has been enacted. This study analyzes business units related to administrative information systems of public institutions and examines the current status of retention periods estimation. For this purpose, we collected 36 records classification systems from 49 public institutions among the direct management agencies of the National Archives and disaster management agencies. And we discriminated 824 business units related to administrative information system and divided into large and small groups according to types. We also compared the retention period estimation of records. The problems and improvement plans of this study are expected to be used as basic data in preparing the standard of administrative dataset management in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4208-4215
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• 2015

Most of the administrative works are executed based on the address. Therefore, spatial information is an essential factor for administrative works. So far, many systems, which apply spatial information to administrative works, have been implemented. However, there is little approach to apply spatial information to road occupation permit works. In this paper, we introduce system implementation plan for applying spatial information to road occupation permit administrative works. System implementation plan includes work analysis, applying scenarios extraction, system function extraction, and datamart construction plans. First, work processes and activities are defined based on the analysis of work handbook. Also, activities are displayed in diagram. Second, scenarios applying spatial information to road occupation permit works are extracted. Third, we derive service functions for system, which realize work processes and applying scenarios. Finally, spatial information datamart construction plan is established. Proposed system implementation plan in this research includes application architecture and part of data architecture. For implementing the system, plan for hardware and software architecture should be studied.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.185-192
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• 2021

The purpose of this study is to investigate the relationship between emotional intelligence and convergence factors of hospital administrative staff. During the survey period from From May 1st to May 31st, 2019, anonymous self-administered responses to 212 administrative staffs of 19 hospitals randomly selected in J area were used as analysis data. According to hierarchical multiple regression analysis, the higher the ego-resiliency, the higher the organizational loyalty, and the higher the organizational commitment, the higher the emotional intelligence, and their explanatory power was 43.0%. Based on these analysis results, efforts are needed to increase ego-resiliency, increase organizational loyalty, and increase organizational commitment in order to increase the emotional intelligence of hospital administrative jobs. The above results are expected to be applied to industrial health education and job management in the future at hospitals to enhance emotional intelligence of hospital administrative staffs. Future research requires the establishment and analysis of a structural equation model that affects the emotional intelligence of hospital administrative staffs.