• Journal of Environmental Health Sciences
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• v.45 no.6
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• pp.583-593
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• 2019

Objectives: The purpose of this study was to evaluate the relationship between the frequency score of wearing personal protective equipment (PPE) and concentration of urinary organophosphorus pesticide metabolites in farmers. Methods: The study was conducted in Chungcheongnam-do Province of South Korea. We collected urine samples from 308 farmers from September to December 2017 and May to July 2018. Among them, 17 farmers with urinary creatinine levels outside the normal range were excluded. Information on the frequency of wearing PPE was obtained from the farmers through face-to-face survey. Each frequency of wearing for seven types of PPE was converted into a score and expressed as a total score, which was divided into quartiles. Four types of urinary organophosphorus pesticide metabolites were analyzed using a gas chromatography mass selective detector. Multiple linear regression analysis was used to identify concentrations of urinary organophosphorus pesticide metabolites affected by the frequency of wearing PPE. Results: The average frequency score of wearing PPE was 8.0. The quartiles of frequency score of wearing PPE were divided as follows: 1st quartile (≤1), 2nd quartile (1-6), 3rd quartile (6-12), and 4th quartile (>12). Compared with subjects with a low frequency score of wearing PPE (reference), subjects with a high frequency score of wearing PPE (4th quartile) had lower concentrations of urinary diethyl phosphate (DEP) (p<0.01) and dialkyl phosphate (ΣDAP) (p<0.05), which is the sum of dimethyl phosphate (DMP), DEP, dimethyl thiophosphate (DMTP), and diethyl thiophosphate (DETP). Conclusion: Concentrations of urinary organophosphorus pesticide metabolites were associated with frequency score of wearing PPE. Particularly as the frequency score of wearing PPE increased, concentrations of urinary DMP, DEP, DETP, and ΣDAP significantly decreased. The findings of this study can contribute to the management of health effects among farmers working with pesticides.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.279-284
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• 2014

Recently, m-health care is be a problem that the patient's information is easily exposed to third parties in case of emergency situation. This paper propose an attribute-based access control protocol to minimize the exposure to patient privacy using patient information in the emergency environment. Proposed protocol, the patient's sensitive information to a third party do not expose sensitive information to the patient's personal health information, including hospital staff and patients on a random number to generate cryptographic keys to sign hash. In addition, patient information from a third party that is in order to prevent the illegal exploitation of the patient and the hospital staff to maintain synchronization between to prevent the leakage of personal health information.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.55-59
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• 2018

Big-data, a revolutionary technology in the era of the 4th Industrial Revolution, provides services in various fields such as health, public sector, distribution, marketing, manufacturing, etc. It is very useful technology for marketing analysis and future design through accurate and quick data analysis. It is very likely to develop further. However, the biggest problem when using Big-data is privacy and privacy. When various data are analyzed using Big-data, the tendency of each user can be analyzed, and this information may be sensitive information of an individual and may invade privacy of an individual. Therefore, in this paper, we investigate the necessary measures for Personal private information infringement that may occur when using Personal private information in Big-data environment, and propose necessary Personal private information protection technologies to contribute to protection of Personal private information and privacy.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1218-1221
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• 2011

The development of the internet and information management has enabled new applications which include: Electronic medical record (EMR), intelligent transportation, environmental monitoring, etc. In this paper, we design and implement the Continuity Care Record(CCR) Data Stream management server that compiled with DSMS and DBMS in EMR system for processing, monitoring the incoming CCR data stream and storing the processed result with high-efficiency. The proposed system enables users not only to query stored CCR information from DBMS, but also enables to execute continue query for the real-time CCR Data Stream. By using of CCR Viewer Application users can view or update their personal health records even compare self health care records with standard health care records in order to monitor the healthy status, and the on line updating information would be minimized and medical error.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.808-817
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• 2016

Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.6
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• pp.303-308
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• 2017

Nowadays, living standard is improved and people have high interest to the personal health care problem. Accordingly, people desire to know the personal physical condition and the related medical treatment. Thus, there is the necessary of the personalized medical treatment, and there are many studies about the automatic disease diagnosis and the related services. Those studies focus on the particular disease prediction which is based on the related particular data. However, there is no studies about the medical treatment prediction. In our study, national health data based medical treatment predictor is built by using SVM, and the performance is evaluated by comparing with other prediction methods. The experimental results show that the health data based medical treatment prediction resulted in the average accuracy of 80%, and the SVM performs better than other prediction algorithms.

• Safety and Health at Work
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• v.13 no.1
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• pp.32-39
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• 2022

Background: Industrial accidents can determine the overall level and quality of the work environment in industries and companies that contribute to national economic development. Korea has transformed the country from an international aid recipient to a donor country, but it has ranked first among the Organisation for Economic Co-operation and Development member countries in the number of fatal industrial accidents. Little has been known about the policy effects in terms of the workers' insurance for their industrial accidents and rehabilitation. This study raises two research questions about the influence of workers' personal characteristics and vocational rehabilitation services on their return to workplaces. Methods: The study implements weighted logistic regression analysis using propensity score matching. This research utilizes the relevant dataset (3,924 persons) of Korea's industrial accident and insurance. Results: The findings show that the level of workers' awareness of health recovery and their counseling for rehabilitation by physicians had positive effects on their return to work. Environmental factors such as workers' job stability at the time of industrial accidents and the temporal effects of industrial accidents (e.g., the level of disability, their age) had negative impacts on their return to work. Conclusions: These findings have policy implications that the concentration of rehabilitation services for patients who have been mildly affected by industrial accidents would be effective in the short and medium term. The findings also highlight the necessity of ongoing policies about workers' vocational recovery with concrete evidence about policy impacts.

• Journal of the Korea Safety Management & Science
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• v.25 no.4
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• pp.25-33
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• 2023

This study analyzed the factors affecting the effectiveness of the Chemical Hazard Risk Management (CHARM). A survey was conducted on 104 learners who participated in the Risk Assessment training course at Occupational Safety and Health Training Institute. Through a self-administered questionnaire, the effect of personal characteristics, corporate characteristics, and safety and health level of the company on the effectiveness of chemical risk assessment was investigated. As a result of statistical analysis, the safety and health level of the company had a positive (+) effect on the effectiveness of Chemical Hazard Risk Management(CHARM), but personal characteristics and corporate characteristics had no relation to it. This study can be used as basic data for further research related to chemical risk assessment in workplaces.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.757-759
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• 2011

본 논문에서는 홈 헬스케어에서 건강측정을 위하여 가장 많이 사용되는 개인 건강 기기(personal health device)인 혈당계, 혈압계, 심박측정계(heart rate monitor), 산소포화도 측정계(pulse-oximeter), 심전도 측정계(ECG monitor)의 5가지 홈 헬스케어 의료기기를 구성하고 표준 핵심 기술 요소인 ISO/IEEE 11073, HL7을 준용하는 게이트웨이 플랫폼을 스마트폰에 적용하여 기존의 홈 헬스케어 시스템을 구성하는 단말기 형태의 게이트웨이나 홈 서버 하드웨어 구성을 필요로 하지 않으면서 집안의 고정된 게이트웨이로 인해서 생기는 위치종속성 문제를 해결할 수 있는 PMG(personal mobile gateway) 기반의 홈&모바일 헬스케어 시스템을 개발하고자 한다.

• Korean Journal of Social Welfare
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• v.51
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• pp.63-91
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• 2002

This article investigates 170 mental health social workers in order to find out the current status and influencing factors on linking services. The social workers of this study work at different kinds of mental health organizations(mental hospitals, mental health centers, mental rehabilitation facilities, mental residential facilities). The result from the research were 1) the degree of linking services is low, and the primary type of coordination is sharing of information and client referrals. The fund-raising and joint project cases are very poor. 2) based on personal and organizational characteristics, there arc significant differences between respondents' sex, education level, job-related status, experience in mental health field, mental health licence(personal factors), location, type of organization, and type of primary client(organizational factors). 3) the factors affecting service coordination among mental health social workers are experience in mental health field, current job-related experience(personal factors), education, location of organization, type of organization, and history of organization(organizational factors). Finally, the research recommends that establishment of cooperation system, service delivery system, and information network is needed in order to enhancing the function of service coordination among mental health social workers. Also, mental health professional associations and agencies should provide opportunity of discussion and training for mental health social workers, and develop the institutional devices to expand the content and type of service coordination.