• Title/Summary/Keyword: Insurance, Accidents

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Single-Center Retrospective Study on the Status of Korean Medicine Automobile Insurance Treatment and Usage of Main Pharmacopuncture (단일 한의원 교통사고 환자 258례에 대한 한방치료 효과 후향적 연구)

  • Hwang, Ji Hye;Jung, Chul
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.33 no.3
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    • pp.181-190
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    • 2019
  • In South Korea, traffic accident patients can be treated under automobile insurance coverage. This study investigated the status of Korean medicine (KM) Automobile insurance system and usage status of main pharmacopuncture in KM clinic which reported that the largest number of automobile insurance fee claims among medical institutions. We surveyed 258 traffic accident patients who were treated at Namsangcheon KM clinic from 2014 to 2018 according to medical chart. The majority of the patients were male and thirties. In traffic accident situation, the highest distribution was car to car crash with 85.66% and 66.67% of the patients visited in the most acute phase. The most frequent treatment period was within 4 weeks and the number of treatments was 10 or less with 72.87%. In total results of treatment, the distribution was exellent with 10.08%, good with 46.90%, fair with 27.13% and poor with 15.89%, and the effective rate was 84.11%. The most frequent treatment period was within 4 weeks with 64.73% and the number of treatments was 10 or less with 72.87%. Of the 242 patients who received pharmacopunture, 91.5% were treated with HO, which was named after Honghwaja and TA, which was named after traffic accidents, and there were significant differences in the number of treatments and symptom improvement between the two groups. In this study, we confirmed the status of automobile insurance treatment and usage of main pharmacopuncture of single KM clinic with symptom improvement. This study can be regarded as one of the basis of KM treatment for the rapidly growing automobile insurance market.

Quantification Model Development of Human Accidents based on the Insurance Claim Payout on Construction Site (건설공사보험 사례를 활용한 건설현장 인명사고 정량화 모델 개발)

  • Ha, Sun-Geun;Kim, Tae-Hui;Son, Ki-Young;Kim, Ji-Myong
    • Journal of the Korea Institute of Building Construction
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    • v.18 no.2
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    • pp.151-159
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    • 2018
  • Accident rate in the construction industry of South Korea is increasing every year, and it represents the highest percentage among industries. This shows that activities performed to prevent safety accidents in the country are not efficient when it comes to reduce the accident rate. In order to resolve this issue, a model for the prediction of human accidents should be established. In addition, it is required a quantification study based on pattern of human accidents. Therefore, the objective of this study is to quantify uncertainty of human accidents risk and predict how to change in various circumstances by using Monte Carlo Simulation. To achieve the objective, first, pattern of human accidents was defined. Second, insurance claim payout and information of human accidents during 14 years in construction site were collected. Third, descriptive analysis is conducted to determine the characteristics of the accident pattern. Fourth, to quantitatively analyze the pattern of the human accidents, the population of each accident occurrence and payout were estimated. Finally, estimated populations was analyzed according to characteristics of distribution by using Monte carlo simulation. In the future, this study can be used as a reference for developing the safety management checklist in construction site and development of prediction models of human accident.

Machine Learning-Based Prediction Technology for Medical Treatment Period of Automobile Insurance Accident Patients (머신러닝 기반의 자동차보험 사고 환자의 진료 기간 예측 기술)

  • Kyung-Keun Byun;Doeg-Gyu Lee;Hyung-Dong Lee
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.89-95
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    • 2023
  • In order to help reduce the medical expenses of patients with auto insurance accidents, this study predicted the treatment period, which is the most important factor in the medical expenses of patients in their 40s and 50s, and analyzed the factors affecting the treatment period. To this end, a mechine learning model using five algorithms such as Decision Tree was created, and its performance was compared and analyzed between models. There were three algorithms that showed good performance including Decison Tree, Gradient Boost, and XGBoost. In addition, as a result of analyzing the factors affecting the prediction of the treatment period, the type of hospital, the treatment area, age, and gender were found. Through these studies, easy research methods such as the use of AutoML were presented, and we hope that the results of this study will help policies to reduce medical expenses for automobile insurance accidents.

A Study on Improving Architect Property Insurance for Safety Accidents of Building (건축물 안전사고에 대비한 건축사 손해보험 개선 연구)

  • Kim, Myeongsoo
    • Korean Journal of Construction Engineering and Management
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    • v.20 no.1
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    • pp.32-40
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    • 2019
  • This study analyzed operating condition and the problems of damage compensation insunace (property insurance) for qualified architect and derived some suggsetions for improvement. The Certified Architects Act requires all building design and construction supervision to buy property insurance. This study proposes following suggestions to solve problems of current architect property insurance. Firstly, we need to increase the insurance purchasing rate of damage compensation insurance for qualified architect. It is necessary to clearly specify the matters concerning the submission of insurance policies by the architects, which is currently carried out by the Minister's official letter, in the form of official announcement. Secondly, proper insured amount should be adjusted. In order to insured substantial compensation capacity, total amount of insurance should be enlarged. Thirdly, the insurance period should be extended to one year after completion of building to allow compensation for accidents due to design negligence. Generally, the design defect can mostly be identified within one year after completion. Fourthly, insurance coverage should be extended. In the long run, it is essential to enlarge the scope of the security not only to property damage but also to human losses. Finally, an accident record sharing system should be established among insurance companies, so that proper insurance premiums or discounts can be made based on the system.

A Study on the Problem and Countermeasure of Concealment of Industrial Accident in Construction Site (건설업 산재 은폐의 문제점과 대책에 관한 연구)

  • Choi, Man-Jin;Kang, Kyung-Sik
    • Journal of the Korea Safety Management & Science
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    • v.10 no.3
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    • pp.29-33
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    • 2008
  • According to statistics released by the Ministry of Labor for the past 6 years, work-related accidents in the construction industry have been on the continued increase, resulting in social and economic losses that are difficult to determine at an exact amount. However, the number will likely get much bigger if unreported cases are included, considering the fact that the aforementioned statistics are based soley on the applications filed with Korea Workers' Compensation and Welfare Service. The practice of businesses choosing not to report and dealing with industrial accidents in an unauthorized manner is defined as "concealment of industrial accident". The reason the employers tend to engage in the concealment practice even at their huge cost is a "pre-qualification" scheme for the applicants in the government procurement process. Under the pre-qualification scheme, the applicants with a high rate of industrial accidents receive a low grade and become less attractive candidates in the procurement process, thus losing an opportunity to win a contract. Such failure relates directly to the fate of business organizations, to survive or not. That is why they are making all-out efforts to obtain a high grade in the pre-qualification evaluation. With regard to the accident-concealment problem, the following can be mentioned as preventive measures: (1) To exclude a rate of industrial accidents from the pre-qualification scheme; (2) To strengthen the institution of imposing penalties on the occurrence of industrial accidents; (3) To introduce private insurance system to the current industrial accident compensation insurance; and (4) To give non-recognition treatment to industrial accidents that were not reported upon occurrence. In conclusion, the concealment problem can be resolved if the aforementioned measures are to be taken continuously along with corrective measures against institutional deficiencies.

A Statistical Analysis of Tree-Harvesting Worker Safety

  • Young, Timothy M.;Guess, Frank M.
    • International Journal of Reliability and Applications
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    • v.3 no.2
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    • pp.61-80
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    • 2002
  • Tree-harvesting worker data of 508 separate worker accidents are analyzed and an exploratory approach taken. The worker accident data cover a sample of five years. The scope of the study was the southeastern United States of America. As might be hypothesized, the chainsaw was the most hazardous type of tree-harvesting equipment. It accounted for 55% of the tree-harvesting accidents. Most chainsaw accidents resulted in injuries to the lower extremities and were more frequent among younger employees. The probability of one or more chainsaw accidents occurring in any 30-day period was approximately 0.856. Chainsaw accidents were more likely to occur in late morning and early afternoon. We used statistical tools such as Pareto charts, c-charts and Ishikawa diagrams. Such tools are useful in diagnosing the root-cause of tree-harvesting worker accidents and help in developing preventive safety programs. Recommendations to help improve the quality of information of accident data collected by insurance companies and others are briefly given. The strategy and culture of continuous process improvements are stressed.

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A Zero-Inated Model for Insurance Data (제로팽창 모형을 이용한 보험데이터 분석)

  • Choi, Jong-Hoo;Ko, In-Mi;Cheon, Soo-Young
    • The Korean Journal of Applied Statistics
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    • v.24 no.3
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    • pp.485-494
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    • 2011
  • When the observations can take only the non-negative integer values, it is called the count data such as the numbers of car accidents, earthquakes, or insurance coverage. In general, the Poisson regression model has been used to model these count data; however, this model has a weakness in that it is restricted by the equality of the mean and the variance. On the other hand, the count data often tend to be too dispersed to allow the use of the Poisson model in practice because the variance of data is significantly larger than its mean due to heterogeneity within groups. When overdispersion is not taken into account, it is expected that the resulting parameter estimates or standard errors will be inefficient. Since coverage is the main issue for insurance, some accidents may not be covered by insurance, and the number covered by insurance may be zero. This paper considers the zero-inflated model for the count data including many zeros. The performance of this model has been investigated by using of real data with overdispersion and many zeros. The results indicate that the Zero-Inflated Negative Binomial Regression Model performs the best for model evaluation.

A Study on No-Fault Arbitration in U.S.'s Automobile Insurance - Focus on the Case of New York State - (미국 자동차보험에 있어서 무과실보험의 중재에 관한 고찰 - 미국 뉴욕주를 중심으로 -)

  • Kim, Ji-Ho
    • Journal of Arbitration Studies
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    • v.22 no.1
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    • pp.89-110
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    • 2012
  • No-fault automobile insurance system is a statutory scheme to provide automobile accident victims with compensation for certain expenses arising from personal injuries occurring in car accidents. New York State has enacted No-Fault Law to ensure that the injured in automobile accidents be paid rapidly by their own insurance company for medical expenses, lost earnings regardless of fault, replacing common law system of reparation for personal injuries under tort law. Its primary purpose is to facilitate compensation without the need to exhaust time-consuming litigation over establishing the existence of fault and the extent of damages. No-Fault Law allows arbitration as a method for settling the no-fault insurance disputes. No-fault arbitration, however, differs in a significant way from general arbitration system. First, No-Fault Law provides the parties with the option to submit any dispute involving no-fault automobile insurance to arbitration. Second, no-fault arbitration attempts to speed its procedure incorporating various methods. Third, the parties are required to seek review of arbitral awards by master arbitrator prior to seeking court's review. Fourth, the parties have right to bring de novo action in court if master arbitrator's award exceeds $5,000. Given the current state of law in Korea, it may not be easy to introduce no-fault arbitration system into Korea in the context of automobile insurance disputes settlement as its law has a long-established reparation system based on tort liability and no-fault arbitration system has its own features that differ from general arbitration system. Nonetheless, it could be suggested that no-fault arbitration be introduced in other fields which require speedy dispute resolution and a third party's decision to settle the disputes. The optional right of submitting disputes to arbitration as provided by No-Fault Law of New York State may offer a ground to supprot the effectiveness of an optional arbitration agreement.

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The Study on the Enhancement of Effectiveness of Industrial Accident Compensation Insurance's Application : Focusing on the Employee's Corresponding Types and Casual Analysis (산재보험 적용의 실효성 제고방안 : 근로자의 재해대응유형 및 원인분석을 중심으로)

  • Jeong, Jae-Hoon;Park, Dae-Young;Oh, Ju-Yeon
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.215-227
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    • 2014
  • This paper is to investigate the employees' corresponding types and casual analysis. It proposes the legal and practical measures for improvement of Industrial Accident Compensation Insurance's usability. The results from the empirical analysis indicate that (1) 91.4 percent of the respondents feel the necessity of Industrial Accident Compensation Insurance, (2) 67.4 percent of the respondents perceive that Industrial Accident Compensation Insurance is useful, (3) employers' perceptions of the specific items of Industrial Accident Compensation Insurance appears to be low. (4) 35.9 percent of the respondents deal with industrial accidents through other ways such as health insurance and car insurance. The study ends with discussion of the findings and provides several theoretical and managerial implications and recommendations for future research and applications.