• Title/Summary/Keyword: 예방 가능한 사망

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Smart Glasses and Mobile Application Development for Automation of Construction Safety Management (건설 안전관리 업무의 자동화를 위한 애플리케이션 및 스마트 글래스 개발)

  • Choi, Hye-Rin;Kang, Hyun-Ku;Kim, Seong-Min;Lee, Min-Young;Choi, Tae-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.830-832
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    • 2022
  • 최근 산업 재해 중 업종별 사고 사망자 수가 1 위인 건설 산업에서 안전관리자는 실질적인 현장관리와 사고 예방의 핵심 인력으로 그 수요가 증가하고 있다. 안전 관리 활동 수준과 재해율은 높은 상관관계에 있음에도 불구하고 적은 인력 및 과도한 서류 작업으로 인해 직무 스트레스 및 생산성 저하에 큰 영향을 미치며 이는 현장 업무 효율성 저하 원인으로 꼽힌다. 특히 중소규모 건설사는 대형 건설사에 비해 안전 관리 활동 수준 차이 조사 항목에서 대부분의 항목에서 열악하며 통합관리시스템 또한 보유하지 않는 경우가 많아 문제가 대두되고 있다. 본 논문에서는 건설사 규모와 관계없이 이용 가능한 스마트글래스(SmartGlasses)와 애플리케이션(Application)으로 현장업무의 프로세스 자동화 구현 및 통합안전 관리 시스템을 제안하여 서류작업의 간소화, 직무 스트레스 감소, 건설 안전 관리자의 생산성 및 안전성의 혁신적 향상에 공헌한다.

INTERDISPLINARY CARE OF A PATIENT WITH APLASTIC ANEMIA : REPORT A CASE (재생불량성 빈혈 환자의 범학문적 접근 및 관리)

  • Lee, Young Eun;Park, Jae-Hong;Kim, Kwang Chul;Lee, Soo Eon
    • The Journal of Korea Assosiation for Disability and Oral Health
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    • v.9 no.2
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    • pp.98-102
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    • 2013
  • Aplastic anemia (AA) is a blood dyscrasia characterized by hypocelluar bone marrow and peripheral blood pancytopenia. Symptomatology depends on the severity of pancytopenia. Patients with AA are susceptible to infection because of agranulocytosis. Hemorrhage caused by thrombocytopenia can be fetal to these patients. Therefore dental procedure potentially can cause serious complications and should be applied with caution. A 6-year-old boy with moderate aplastic anemia was referred to treat dental caries. General dental procedure including resin filling, preformed crown, pulpectomy and extraction was performed under sedation. Combination of modalities such as platelet transfusion, oral hygiene instruction, and dental prophylaxis was also implemented. In this report, the dental and medical management of a patient with AA was presented. Interdisciplinary care should be administered to patients with AA.

Analysis of the Effectiveness and Feasibility of Accident Analysis Policy for Construction Safety from the Perspective of System Safety (시스템안전 관점에서의 건설안전 사고분석 정책의 효과성 및 타당성 분석)

  • Sunjin Lee;Hunggi Lee;Dongil Shin
    • Journal of the Society of Disaster Information
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    • v.19 no.1
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    • pp.146-160
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    • 2023
  • Purpose: The construction industry is a complex mechanism in which multiple processes are carried out at the same time, and the frequency and severity of accidents account for a higher proportion than other industries, and the accident fatality rate also accounts for more than 50% of all industries. In order to reduce such accidents, the government's disaster investigation method analyzes the limitations from the system safety point of view and proposes improvement plans. Method: The main contents of the government's serious accident investigation were identified, and the effectiveness/adequacy was analyzed from the system safety point of view. Result: Disaster investigation and analysis techniques tailored to violations and compliance were limited in providing fundamental solutions, and alternatives for accident prevention were possible for each component of the system when safety constraints, controls, and hierarchical interactions were combined. Conclusion: When combining the disaster investigation and analysis method from the current accident analysis method from the perspective of system safety, it is possible to identify the problems of interaction by class and communication process, so it is possible to suggest alternatives to prevent accidents from an integrated perspective.

A Study on the Food Habits and Attitudes of Cerebrovascular Accident Patients in Daegu S Medical Center (대구 S병원 뇌졸중 환자의 생활 습관 및 식습관에 관한 조사 연구)

  • Lee, Seung-A;Jeon, Seon-Min;Kim, Hye-Jin;Do, Gyeong-Min;Jung, You-Mi;Choi, Myoung-Sook
    • Journal of the East Asian Society of Dietary Life
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    • v.18 no.4
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    • pp.436-445
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    • 2008
  • Stroke is a serious disease despite recent improvements in the medical treatments available. Thirty-six stroke patients were interviewed as case and 36 non-stroke patients were interviewed as controls between February 2005 and August 2005 at Daegu S Medical Center. Information regarding the subjects' food habits was collected using the recall method from 5 years before the onset of stroke. Using interview techniques, we investigated how dietary habits and attitude influence nutrient intake. These results were analyzed by the $X^2$, Student's t-test and Chi-square test using the SPSS 12.0 program. This case-control study was performed to demonstrate the relationships among general quality factors (BMI, WHR, and family history of stroke) and lifestyle factors (smoking, exercise and alcohol drinking). The results were as follows. Analysis of the percentage of nutrient intake in terms of meal pattern showed that WHR was significantly higher in the case group than in the control group. Hypertension and diabetes were the most common preceding diseases associated with the risk of stroke. The frequencies of smoking, alcohol consumption (p<0.001) and exercise (p<0.05) were higher in the cases than in the controls. Thus, the findings of this study are consistent with those of previous studies and suggest that people should be advised to control hypertension, smoking, alcohol drinking and obesity in order to prevent the occurrence of stroke as these factors are major risk factors for stroke.

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Development of a safety accident prevention system for construction equipment utilizing IoT and RTLS technology (사물인터넷과 실시간 위치추적 기술을 활용한 건설 장비의 안전 사고 방지 시스템 개발)

  • Ryu, Han Guk;Kim, Tae Wan
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.179-186
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    • 2019
  • Identifying potential accidents at construction sites is a major concern for the construction industry, and, according to the Korea Occupational Safety and Health Agency, the death rate of safety accidents caused by construction equipment is particularly high at 19.8% as of 2016. Although Internet of Things (IoT) has not been applied widely in construction sites, it can build an operating system that feeds accurate and useful information to construction accident management for identifying potential accidents. In this context, this study proposes an IoT- and RTLS-based construction equipment safety accident prevention system, which can be useful for preventing and managing safety accidents caused by construction equipment. Future deployment of such system would contribute not only to the safety of workers but also to efficient equipment and manpower operation.

폐암의 조기진단

  • Lee, Hyeon-U;Lee, Gwan-Ho
    • Journal of Yeungnam Medical Science
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    • v.15 no.2
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    • pp.195-207
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    • 1998
  • 폐암을 집단 검진으로 조기 진단하려는 노력은 현재까지 뚜렷한 성과를 얻지 못하고 있는 실정이다. 미국의 국립암연구소에서 실시한 흉부엑스선 촬영과 객담세포진 검사를 이용한 폐암의 집단 검진 결과는 검진군에서 대조군보다 유의하게 진단율이 높았으며 절제율도 더 높았고 5년 생존율도 향상시킬 수 있었다. 그러나 폐암을 조기 진단하기 위한 집단 검진의 궁극적인 목표인 사망률을 감소시키지는 못하였다. 최근에는 미국 국립암 연구기관에서 실시했던 결과에 대한 해석이 다양하여 아직까지도 폐암 조기 진단에 있어서 흉부액스선촬영과 객담세포진검사의 의의에 관한 결론에 대해서는 논란이 되고 있다. 1993년부터 새로운 집단 검진에 관한 연구가 진행중에 있어서 그 결과가 나올 때까지는 흉부엑스선촬영과 객담세포진검사를 이용한 집단 검진의 의의에 대한 결과는 기다려 보아야 할 것이다. 분자생물학적으로 폐암을 조기 검진하기 위한 검체로는 혈액보다는 객담이 훨씬 적절하고 합리적인 검체이다. 폐암의 발생은 가장 먼저 기관지 상피 세포에서 일어나서 암화 과정의 여러 단계에서 다양한 종양 표지자가 객담에 섞여 나오기 때문에 이 표지자를 객담에서 측정하는 것이 훨씬 합리적인 조기 진단법이 될 수 있다. 동시에 폐암을 집단 검진으로 조기 진단하기 위해서는 종양 표지자를 대량으로 측정하기 위한 자동측정법도 개발되어야 할 것이다. 암을 예방하기 위하여는 여러면에서 방안이 연구되어야 한다. 즉 암발생의 가능성이 높은 대상을 선태하여야 하며 초기에 집단 검진으로 진단을 할 수 있어야 하고, 이러한 검진으로 추적 검사가 가능하여야 하며 마지막으로 결과를 판정할 수 있어야 한다. 이 가운데 현재까지 유일하게 실시할 수 없는 것은 조기 진단으로 사용할 수 있는 뚜렷한 종양 표지자가 없는 것이다. 이와 같이 현재까지는 폐암을 조기 진단하기 위한 특이한 표지자는 없으나 앞으로 폐암 발생 기전의 여러 단계가 체계적으로 밝혀진다면 그 과정에서 중요한 표지자들이 밝혀질 것이다. 그리고 이들을 간단하게 검사할 수 있는 검사법도 밝혀져 폐암 조기 진단의 궁극적 목적인 폐암으로 인한 사망률을 감소시킬 수 있을 것으로 기대된다.

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Validation of the International Classification of Diseases l0th Edition Based Injury Severity Score(ICISS) - Agreement of ICISS Survival Probability with Professional Judgment on Preventable Death - (외상환자 중증도 평가도구의 타당도 평가 - ICISS 사망확률과 전문가의 예방가능한 사망에 대한 판단간의 일치도 -)

  • Kim, Yoon;Ah, Hyeong-Sik;Lee, Young-Sung
    • Health Policy and Management
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    • v.11 no.1
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    • pp.1-18
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    • 2001
  • The purpose of the present study was to assess the agreement of survival probability estimated by International Classification of Diseases l0th Edition(ICD-10) based International Classification of Diseases based Injury Severity Score(ICISS) with professional panel's judgment on preventable death. ICISS has a promise as an alternative to Trauma and Injury Severity Score(TRISS) which have served as a standard measure of trauma severity, but requires more validation studies. Furthermore as original version of ICISS was based ICD-9CM, it is necessary to test its performance employing ICD-10 which has been used in Korea and is expected to replace ICD-9 in many countries sooner or later. Methods : For 1997 and 1998 131 trauma deaths and 1,785 blunt trauma inpatients from 6 emergency medical centers were randomly sampled and reviewed. Trauma deaths were reviewed by professional panels with hospital records and survival probability of trauma inpatients was assessed using ICD-10 based ICISS. For trauma mortality degree of agreement between ICISS survival probability with judgment of professional panel on preventable death was assessed and correlation between W-score and preventable death rate by each emergency medical center was assessed. Results : Overall agreement rate of ICISS survival probability with preventable death judged by professional panel was 66.4%(kappa statistic 0.36). Spearman's correlation coefficient between W-score and preventable death rate by each emergency medical center was -0.77(p=0.07) and Pearson's correlation coefficient between them was -0.90(p=0.01). Conclusions : The agreement rate of ICD-10 based ICISS survival probability with of professional panel's judgment on preventable death was similar to TRISS. The W-scores of emergency medical centers derived from ICD-10 based ICISS were highly correlated with preventable death rates of them with marginal statistical significance.

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Association Rules Analysis of Safe Accidents Caused by Falling Objects (낙하물에 기인한 안전사고의 연관규칙 분석)

  • Son, Ki-Young;Ryu, Han-Guk
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.4
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    • pp.341-350
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    • 2019
  • Construction industry is one of the most dangerous industry. As the construction accidents occur due to the repeated factors found in each accidents, there is a limitation in analyzing all types of occupational accidents by the existing descriptive analysis and statistical test. In this study, we classified safety accidents caused by falling objects among the accident types occurring at construction sites into fatal and nonfatal accidents and deduced the factors. In addition, we deduced the association rules among the safety accidents factors caused by falling objects through the association rule analysis method among the machine learning techniques. Therefore, considering the association rules for fatal and nonfatal accidents proposed in this study, it would be possible to prevent accidents by searching for countermeasures against safety accidents caused by falling objects.

A Design of AI Cloud Platform for Safety Management on High-risk Environment (고위험 현장의 안전관리를 위한 AI 클라우드 플랫폼 설계)

  • Ki-Bong, Kim
    • Journal of Advanced Technology Convergence
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    • v.1 no.2
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    • pp.01-09
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    • 2022
  • Recently, safety issues in companies and public institutions are no longer a task that can be postponed, and when a major safety accident occurs, not only direct financial loss, but also indirect loss of social trust in the company and public institution is greatly increased. In particular, in the case of a fatal accident, the damage is even more serious. Accordingly, as companies and public institutions expand their investments in industrial safety education and prevention, open AI learning model creation technology that enables safety management services without being affected by user behavior in industrial sites where high-risk situations exist, edge terminals System development using inter-AI collaboration technology, cloud-edge terminal linkage technology, multi-modal risk situation determination technology, and AI model learning support technology is underway. In particular, with the development and spread of artificial intelligence technology, research to apply the technology to safety issues is becoming active. Therefore, in this paper, an open cloud platform design method that can support AI model learning for high-risk site safety management is presented.

A Risk Assessment Counterplan for Reducing the Accident Rates in Medium and Small sized Construction Sites (중·소규모 건설현장의 재해율 감소를 위한 위험성평가 방안)

  • Jang, Yun-Ra;Go, Seong-Seok
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.5
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    • pp.90-100
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    • 2018
  • Government needs a risk assessment method that is effective in preventing accidents as a part of the three principal projects of the government for protecting the people's lives for establishing preventative measures to prevent accidents in the construction sites, which accounted for more than half of all accidental mortality accidents, and promote the safety-oriented culture for making fundamental changes. Accidents at the medium and small sized construction sites accounted for 88.9% of the total construction accidents. The data indicates that improper management and lack of advanced safety measures due to the absence of a safety supervisor are the biggest problems. It is believed that active measures to evaluate and prevent risks at construction sites are necessary for preventing accidents in the medium and small sized construction sites. The objectives of this study is to identify the key risk items of common accident causes and propose a practical, preemptive, and improved risk assessment method by evaluating the problems in the safety management of construction sites for reducing the accident rate in the medium and small sized construction sites.