• Proceedings of the KSR Conference
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• 2008.06a
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• pp.1499-1504
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• 2008

This study shows risk-based evaluation results of casualty accidents for passengers, railway staffs and MOP(Member of public) on the national railway in South Korea. To evaluate risk of these accidents, the hazardous events and the hazardous factors were identified by the review of the accident history and engineering interpretation of the accident behavior. A probability evaluation model for each hazardous event which was based on the accident appearance scenario was developed by using the Fault Tree Analysis (FTA) technique. The probability for each hazardous event was evaluated from the historical data and structured expert judgment. In addition, the severity assessment model utilized by the Event Tree Analysis (ETA) technique was composed of the accident progress scenarios. And the severity for the hazardous events was estimated using fatalities and weighted injuries. The risk assessment model developed can be effectively utilized in defining the risk reduction measures in connection with the option analysis.

• Journal of the Korea Safety Management & Science
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• v.9 no.2
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• pp.97-111
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• 2007

In risk assessment, there are several methods such as Safety Review, Checklist, FMEA(Failure Mode and Effect Analysis), FTA(Fault Tree Analysis), ETA (Event Tree Analysis) etc, however, the level of accident is indentified by the probability of accident and severity resulting from accident which used widely in assessing accidents and disasters. In this paper, the risk assessment method to decide the level of risk will be introduced by using severity, frequency and detection according to accident theory.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.187-188
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• 2017

Domestic industrial disasters are decreasing, but construction industrial disasters are increasing every year. So this study draw a conclusions from the major types of safety accidents based on disaster intensity analysis to solve the problems caused by increasing construction industry disasters. Also figure out a risk about original cause material to establish management directions which is significant manage things.

• Quality Improvement in Health Care
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• v.10 no.2
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• pp.164-175
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• 2003

Objectives: To evaluate the performance of models to predict AMI patients death using severity adjustment measures in Korea. Methods: Medical records of 861 patients treated by AMI in 7 general hospitals during 1996 and 1997 were reviewed by trained nurses. We measured the severity of patients by APACHE III, MedisGroups, CSI and DS. Using each severity method a predictive mortality for each patient was calculated from a logistic regression model including the severity score. The statistical performance of each severity method model was evaluated by using c-statistics and R2. For each hospital, z scores compared actual and expected mortality rates. Results: The overall in-hospital mortality was 14.5%, ranged from 10.0% to 22.2%. The distributions of severity scores for each method was significantly different by hospitals. The four severity-adjusted models to predict AMI patients death varied in their statistical performance for discrimination power of patients death. Order of Severity-adjusted mortality rates and z scores by four severity measures was different. Conclusion: Severity-adjusted mortality rates of AMI patients might be applied as an indicator for hospital performance evaluation in Korea. Because different severity methods frequently produce different impressions about relative hospital performance, more studies has to be done to use it as quality indicator and more attention should be paid to select appropriate severity measures.

• Korean Journal of Clinical Pharmacy
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• v.21 no.2
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• pp.170-181
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• 2011

Purpose: There is considerable variability in rates of hospitalization for patients with community-acquired pneumonia (CAP) in part because of physicians' uncertainty in assessing the severity of illness at presentation. The purpose of the study was to examine the current treatment patterns and factors influencing the Pneumonia Severity Index (PSI) and clinical outcomes in the patient with CAP. Method: The retrospective data collection of the patients with CAP was conducted and the data were reviewed. The collected data included demographic, clinical, laboratory and microbiological medical information. All patients were stratified into three risk groups according to PSI: low risk (PSI score I-II), moderate risk (III) and high risk (IV-V) groups. The examined treatment patterns were the appropriateness of admissions, category of antibiotics used. The prognostic factors associated with PSI and clinical outcomes were examined. Results: One hundred and six patients' medical data were reviewed. The overall appropriateness of admissions was low presenting many of patients were admitted or intensely treated in the hospital despite of lower risk of prognosis and treated with intravenous antibiotics instead of oral fluoroquinolones. Primary pneumonia pathogens were Klebsiella pneumoniae (27%) and Streptococcus pneumoniae (21.6%). Mean LOS was 8.5 days and was significantly longer (10.0days) (p<0.001) in high risk group. The patients with age >65 (p<0.001), diabetes mellitus (p<0.001), mental alteration (p<0.001), and/or $PaO_2$ <60 mmHg (p<0.001) had a tendency to have higher PSI. The prognostic factors associated with longer LOS were age >65 years (p=0.008), mental status alteration (p<0.001), dyspnea (p=0.002) and PSI score (p=0.001). The prognostic factors associated with mortality were congestive heart failure (p=0.038), systolic blood pressure <90 mmHg (p=0.002) and arterial pH <7.35 (p=0.013). Conclusion: Most of patients were found to over-utilize medical service according to appropriateness of admissions. The elderly, mentally altered patients with low $PaO_2$ had higher PSI score with increased risk of LOS. The mortality could be increased in the patient with disease state of congestive heart failure, high blood pressure, and/or acidosis.

• Health Policy and Management
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• v.26 no.4
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• pp.359-372
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• 2016

Background: The purpose of this study was to develop risk-adjustment models for acute stroke mortality that were based on data from Health Insurance Review and Assessment Service (HIRA) dataset and to evaluate the validity of these models for comparing hospital performance. Methods: We identified prognostic factors of acute stroke mortality through literature review. On the basis of the avaliable data, the following factors was included in risk adjustment models: age, sex, stroke subtype, stroke severity, and comorbid conditions. Survey data in 2014 was used for development and 2012 dataset was analysed for validation. Prediction models of acute stroke mortality by stroke type were developed using logistic regression. Model performance was evaluated using C-statistics, $R^2$ values, and Hosmer-Lemeshow goodness-of-fit statistics. Results: We excluded some of the clinical factors such as mental status, vital sign, and lab finding from risk adjustment model because there is no avaliable data. The ischemic stroke model with age, sex, and stroke severity (categorical) showed good performance (C-statistic=0.881, Hosmer-Lemeshow test p=0.371). The hemorrhagic stroke model with age, sex, stroke subtype, and stroke severity (categorical) also showed good performance (C-statistic=0.867, Hosmer-Lemeshow test p=0.850). Conclusion: Among risk adjustment models we recommend the model including age, sex, stroke severity, and stroke subtype for HIRA assessment. However, this model may be inappropriate for comparing hospital performance due to several methodological weaknesses such as lack of clinical information, variations across hospitals in the coding of comorbidities, inability to discriminate between comorbidity and complication, missing of stroke severity, and small case number of hospitals. Therefore, further studies are needed to enhance the validity of the risk adjustment model of acute stroke mortality.

• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.141-147
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• 2010

Risk level for each construction work can be very important factors to establish advanced preventionmeasures. But it is important how to produce it. There are three different methods to set it up for consturuction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

• Journal of the Korea Safety Management & Science
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• v.12 no.3
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• pp.13-19
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• 2010

Risk level for each construction work can be very important factors to establish advanced prevention measures. But it is important how to produce it. There are three different methods to set it up for construction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.101-112
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• 2014

In this study, a risk assessment method based on scenario for the product safety management in Korea has been developed and proposed. To this end, Korea's related regulations for product safety management should be analyzed first, and the risk assessment method necessary for the enforcement of the regulations is presented by itemizing the method into the case of general injury and toxic substances. The features of the method presented in this study are as follows: (i) It is a method based on the injury scenario which can occur during the use of product. (ii) It assesses a risk based on the probability of the scenario and the severity of injury. (iii) In the case of toxic substances, it assesses a risk considering the hazard of the toxic substances on the human body and the severity of injury. To determine the probability of the injury scenario, this study has decomposed the scenario into several configuration factors and estimates each factor's probability to calculate the whole scenario's probability. The results of risk assessment through the method of this study are presented and it is shown that the method can be applied to the product classification for the product safety management.

• Journal of The Korean Society of Clinical Toxicology
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• v.13 no.2
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• pp.87-94
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• 2015

Purpose: We investigated comparison of clinical characteristics and prognosis by initial endoscopic severity in caustic injury and then discussed predisposing factors which can be helpful in predicting the prognosis and determining the treatment. Methods: This study was a retrospective review of medical records from patients over the age of 15, who underwent initial endoscopy for caustic injury from April 2007 through November 2014. Patients were classified according to two groups based on the initial endoscopic finding by Zargar's classification: patients with grade 0, I, IIa at esophagus (low risk group) and patients with grade IIb, IIIa, IIIb at esophagus (high risk group). The two groups were then compared. Results: A total of 55 patients were included (low risk group [n=44] vs. high risk group [n=11]). Old age (p<0.001), large amount of ingestion (p<0.05), oropharyngeal symptoms (p<0.01), high SOFA score (p<0.001), high WBC count (p<0.05), low base excess (p<0.01), and HCO3 (p<0.05) were statistically significant factors in the high risk group. A poor prognosis was observed for hospital stay (p<0.001), ICU admission (p<0.001), mortality (p<0.01), and stricture (p<0.001) in the high risk group. Conclusion: Clinical characteristics including age, amount of ingestion, oropharyngeal symptoms, SOFA score, WBC count, base excess, and $HCO_3$ can be helpful in the decision to undergo initial endoscopy and risk assessment by initial endoscopic severity can be helpful in predicting prognosis and determining the treatment plan.