• 제목/요약/키워드: Level Diagnosis

검색결과 2,110건 처리시간 0.035초

설비진단기술를 활용한 적응보전 (Adaptive Maintenance Using Machine Condition Diagnosis Technique)

  • 송원섭;강인선
    • 산업경영시스템학회지
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    • 제17권30호
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    • pp.73-79
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    • 1994
  • This paper propose Adaptive Maintenance as a new type of maintenance for machine failures which are unpredictable. A purpose of adpative maintenance is to decrease inconsistency. In order to pick up some of problems the traditional maintenance policy, We discussed Time Based Maintenance(TBM) and Condition Based Maintenance(CBM) with Bath-Tub Curve. By using Machine Condition Diagnosis Technique (CDT), Monitored condition maintenance deals with the dynamic decision making for diagnosis procedures at maintenance and caution level. Adaptive Maintenance is a powerful tool for Total Production Maintenance(TPM).

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우리나라 신장암의 소득 수준별 발생률과 진단시 병기의 차이 (Difference in the Incidence Rate of Kidney Cancer in Korea by Relative Level of Household Income and SEER Stage at Diagnosis)

  • 황정인;기명;손미아
    • 한국콘텐츠학회논문지
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    • 제22권9호
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    • pp.561-569
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    • 2022
  • 우리나라 신장암 발생을 소득 수준에 따라 확인하고 병기별로 분석하여 소득 수준에 따른 지연된 진단 정도의 차이를 확인하기 위하여 2015년부터 2017년까지 중앙암등록자료 및 국민건강보험공단, 건강보험심사평가원 데이터베이스를 연계하여 국가 단위 신장암 코호트를 구축하여 병기별, 소득수준별 신장암 발생률을 산출하였다. 연구 기간 중 우리나라 신장암 발생률은 모든 소득 분위에서 증가하나 의료보장인구에서만 감소하는 양상을 보였다. 신장암 발생률은 인구 10만 명 당 7.35 명이었고 이 중 83.54%가 국한 및 국소 신장암으로 소득 상위 20%에서 인구 10만 명 당 21.46명의 높은 발생률을 보였다. 그 중 국한 및 국소 신장암이 18.37명으로 소득 수준이 높을수록 국한 및 국소 신장암 발생률이 높은 것으로 확인된 반면 소득 수준이 낮을수록 원격 전이된 상태로 신장암을 진단받을 위험이 높음(소득 하위 20% adj.OR 1.807, 95% CI 1.411-2.222)을 확인하였고 의료보장인구에서는 병기 미상으로 진단받을 위험비가 1.926(95% CI 1.317, 2.816)으로 관찰되었다. 소득 수준이 높을수록 조기에 암을 진단하는 빈도가 높지만 소득 수준이 낮을수록 전이 신장암으로 진단받거나 병기 미상으로 진단받을 위험이 높아 소득 수준에 따른 건강 불평등이 관찰되었다.

혈청 프로칼시토닌(serum procalcitonin) 측정을 통한 패혈증 진단 및 중등도 평가의 유용성 (Utility of Serum Procalcitonin for Diagnosis of Sepsis and Evaluation of Severity)

  • 박태진;임채만;고윤석;홍상범
    • Tuberculosis and Respiratory Diseases
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    • 제70권1호
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    • pp.51-57
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    • 2011
  • Background: Early recognition and treatment of sepsis would improve patients' outcome. But it is difficult to distinguish between sepsis and non-infectious conditions in the acute phase of clinical deterioration. We studied serum level of procalcitonin (PCT) as a method to diagnose and to evaluate sepsis. Methods: Between 1 March 2009 and 30 September 2009, 178 patients had their serum PCT tested during their clinical deterioration in the medical intensive care unit. These laboratories were evaluated, on a retrospective basis. We classified their clinical status as non-infection, local infection, sepsis, severe sepsis, and septic shock. Then, we compared their clinical status with level of PCT. Results: The number of clinical status is as follows: 18 non-infection, 33 local infection, 39 sepsis, 26 severe sepsis, and 62 septic shock patients. PCT level of non-septic group (non-infection and local infection) and septic group (sepsis, severe sepsis, septic shock) was $0.36{\pm}0.57$ ng/mL and $18.09{\pm}36.53$ ng/mL (p<0.001), respectively. Area under the curve for diagnosis of sepsis using cut-off value of PCT >0.5 ng/mL was 0.841 (p<0.001). Level of PCT as clinical status was statistically different between severe sepsis and septic shock ($^*severe$ sepsis; $4.53{\pm}6.15$ ng/mL, $^*septic$ shock $34.26{\pm}47.10$ ng/mL, $^*p$ <0.001). Conclusion: Level of PCT at clinical deterioration showed diagnostic power for septic condition. The level of PCT was statistically different between severe sepsis and septic shock.

제조업 특성을 반영한 스마트공장 진단모델 개발 및 중소기업 맞춤형 적용사례 (Development of Smart Factory Diagnostic Model Reflecting Manufacturing Characteristics and Customized Application of Small and Medium Enterprises)

  • 김현득;김동민;이경근;윤제환;염세경
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.25-38
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    • 2019
  • This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

중소기업의 재해경감활동관리체계 수준진단(Checklist)에 관한 연구 (A Study on the Level of BCMS(Business Continuity Management System) of Small and Medium Enterprises)

  • 이미선;김민지;김도연
    • 한국안전학회지
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    • 제32권4호
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    • pp.122-128
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    • 2017
  • Recently, accidents such as human accidents are increasing rapidly due to natural disasters and changes in social conditions due to abnormal weather. As a result, damage has been causing massive damage unlike the past. In the case of small and medium enterprises excluding financial institutions and big company, there is no system for prevention and restoration for stable operation from various risks such as human and natural disasters. As the current disaster continues, public and private companies have raised the need for BCM, and with the introduction of the ISO22301 certification system, the company has been establishing and operating Enterprise Disaster Management Standards in the Ministry of Public Safety and Security since 2007. However, in most SMEs, it is hard to bear the input of internal labor and investment cost, and there is a lack of personnel with expertise to conduct BCM diagnosis. Therefore, in this paper, we will study the diagnosis level of enterprise continuity plan which is commonly used in Korea and abroad. Based on this, we will study the BCM system diagnosis method which can be applied to small and medium enterprises in Korea efficiently.

서비스 혁신 수준진단 도구개발에 대한 탐색적 연구 (An Exploratory Study on the Development of Service Innovation Level Diagnosis Framework)

  • 신성현;김현수
    • 서비스연구
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    • 제4권1호
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    • pp.37-47
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    • 2014
  • 최근 20여 년 동안 서비스에 대한 연구는 지속적인 발전을 거듭해 왔다. 그러나 서비스 혁신에 대한 연구접근은 아직까지도 제조업의 제품 품질 개선이라는 전통적 관점을 탈피하지 못한 것이 사실이다. 이에 본 연구는 과거 20여 년 동안 수행된 서비스 혁신에 대한 분류 선행연구를 살펴보고 각각의 연구의 한계점을 분석한 후 서비스 혁신에 있어 시계열 성이 고려되고 전 조직 차원과 구성원 차원 그리고 고객차원에 이르는 서비스 혁신 단계모형을 제시하고자 하였다. 또한 제시된 8단계의 서비스 혁신 수준을 측정할 수 있는 진단도구의 초안을 사례 기반으로 개발하였다. 본 연구는 향후 서비스 혁신을 추구하는 조직에게 현재수준에 대한 진단을 통해 향후 나아갈 방향을 제시하는 참고 모델로 활용될 수 있을 것이며, 서비스 연구자에게는 서비스 혁신의 올바른 대상과 추진방법 연구의 방향을 제시하여 향후 서비스 연구를 활성화하는데 기여할 것이다.

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무선 디지털청진기를 이용한 동물 진단시스템 (Animal Diagnosis System Using Wireless Digital Stethoscope)

  • 박기영;홍수미;이종하;박진호;정의붕
    • 한국통신학회논문지
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    • 제38B권9호
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    • pp.722-727
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    • 2013
  • 동물 의료는 병의 정도나 치료의 필요성에 관계없이 보호자의 의향이 앞서는 어려운 의료행위이다. 특히, 동물치료 중 심장 질환은 필요한 치료법의 결정이나 치료 효과의 확인에 대해서 동물 환자로부터 직접적인 답을 얻기가 어렵다. 그래서 동물 환자의 경우, 심장질환은 증상의 악화로 급변하거나 돌연사 등의 응급사태를 예측하고 그것에 대처하는 것은 거의 불가능하다. 심장 및 몸 안의 질환을 확인하는 1차 진단 방법은 청진이다. CT나 X-ray, 초음파 등의 최첨단 영상장비들을 이용하여 정확하게 측정할 수 있지만 장비가 비싸고, 이를 활용할 수 있는 전문인력이 요구되는 등 경제성으로 인해 2차 진단장비로 활용되어질 뿐 1차 진단을 위한 가장 좋은 진단도구로 여전히 청진기가 이용되어지고 있다. 본 논문에서는 수의사가 귀에 대지 않고 청진음을 분석하고 무선으로 어디서나 진단 할 수 있는 무선디지털 진단시스템에 대해 자세하게 서술하고, 이 시스템을 통해 진단되는 청진음에 대한 레벨교차율(LCR)과 에너지레벨을 통해 질병의 관계에 대해 새로운 개념의 진단시스템 환경을 제시한다.

HIV 감염인의 진단 후 치료 시작에 영향을 미치는 요인 (Factors Influencing the Initiation of Treatment after the Diagnosis of Korean Patients with HIV)

  • 심미소;김광숙;박창기
    • 지역사회간호학회지
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    • 제29권3호
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    • pp.279-289
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    • 2018
  • Purpose: This study has been conducted to identify factors that influence the initiation of treatment after the diagnosis of Korean patients with HIV. Methods: A cross-sectional study design was used, and 290 patients with HIV from outpatient departments of 7 hospitals participated. Self-report questionnaires included items on the days from the primary diagnosis to the initiation of treatment, and the patients' demographic and disease related characteristics. Negative binomial regression model (NBR) was utilized to determine risk factors influencing the initiation of treatment after the diagnosis of the patients with HIV. Results: The skewness of days was 6.62, and the degree of asymmetry of distribution was severe. In NBR, patients who were in their 40s and 50s, female, unmarried and living with their family, jobless, in a middle or high level of economic status, and diagnosed before 2014 showed a higher risk of delayed treatment than patients who were younger, male, married and living with family, in a low level of economic status, and diagnosed in 2014 or afterwards. Conclusion: The findings suggest the necessity of intervention to promote HIV patients' early entry into treatment based on the participants' characteristics.

Knowledge Levels of Turkish Nurses Related to Prevention and Early Diagnosis of Cancer

  • Ozkahraman, Sukran;Yildirim, Belgin
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권12호
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    • pp.6105-6108
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    • 2012
  • Background: The aim of this study was to examine knowledge about cancer and early diagnosis of cancer among nurses. Materials and Method: This descriptive study was carried out at a University Faculty of Medicine Hospital in Turkey. Study between April and June, 2011, with 325 volunteer nurses. The collection tool consisted of two survey forms. The first was designed for sociodemographic information and the second consisted of 16 questions, prepared in accordance with the literature as open and close-ended, for interviews conducted by researchers. Results: Out of the individuals (n=325), included in the study, 90.8% were female, 63.1% high school-university graduates and 55.1% married, with an average years of service of $6.34{\pm}5.33$ and an average age of $28.1{\pm}5.10$. The mean cancer knowledge point was $70.1{\pm}19.5$. Some 79.1% of nurses had not received cancer related continuing education by specialists. A signified relation was found between the nurse knowledge on cancer and educational level (p<0.05). Conclusions: The nurse, a member of the health staff, is in constant contact with individuals at hospitals, schools, polyclinics, workplaces, and homes. When educating society about cancer, nurses need to have a high level of knowledge regarding early diagnosis and cancer prevention.

유방암과 간암환자의 자살생각, 사회적 지지 및 삶의 의미 간 관계 (Relationship of Social Support and Meaning of Life to Suicidal Thoughts in Cancer Patients)

  • 김연정;이광자
    • 대한간호학회지
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    • 제40권4호
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    • pp.524-532
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    • 2010
  • Purpose: This study was done to explore the relationship of social support and meaning of life to suicidal thoughts among patients with cancer. Methods: Data were collected by questionnaires from 138 patients who had been in cancer treatment at medical clinics and 8 patients who were members of an internet cancer association. The data were collected between August and November 2009 and analyzed using SPSS 12.0. Results: Of the participants, 47.3% reported having had suicidal thoughts and 16.4% had attempted suicide since the diagnosis of cancer. The study participants received most support from family members, but 73.3% reported experiencing an existential vacuum. The suicide attempt group had significantly higher scores according to gender, age, level of education, diagnosis, treatment modality, level of activity, caregiver and social support compare to the suicide thought group. Suicidal thoughts were negatively related to social support and meaning of life was positively associated with social support. Support from family and friends and diagnosis explained 50.0% of variance for suicidal thoughts with 36.0% of variance being explained by family support. Conclusion: Nurses should be able to identify risk factors for suicide in cancer patients. Prevention and intervention efforts need to be directed toward improving social support, family support in particular, and assisting patients finding meaning in life after a diagnosis of cancer.