• Journal of the Korea Convergence Society
• /
• v.13 no.5
• /
• pp.77-84
• /
• 2022

The purpose of this study is to provide basic data necessary for preparing a sustainable health insurance system in the future by analyzing the difference in the results of claims according to the claims status of health insurance of dental medical institutions and the level of health insurance knowledge. In this study, a self-written online questionnaire was conducted for dental medical institutions 209 workers from March to May 2019. As a result of the study, The demand for professional manpower according to claim satisfaction was statistically significant in the qualification requirements (p<.05). Therefore, the necessity of professional workers for dental health insurance claims was confirmed and policies for this should be prepared.

• Journal of Preventive Medicine and Public Health
• /
• v.42 no.1
• /
• pp.5-11
• /
• 2009

Objectives : This study was conducted to estimate the socioeconomic cost of injuries in South Korea. Methods : We matched claims data from national health insurance, automobile insurance and industrial accident compensation insurance(IACI), and mortality data obtained from the national statistical office from 2001 to 2003 by patients unique identifier. Socioeconomic cost included both direct cost and indirect cost: the direct cost was injury-related medical expenditure and the indirect cost included loss of productivity due to healthcare utilization and premature death. Results : The socioeconomic cost of injuries in Korea was approximately 1.9% of the GDP from 2001 to 2003. That is, 12.1 trillion KRW(Korean Won) in 2001, 12.3 trillion KRW in 2002, and 13.7 trillion KRW in 2003. In 2003, direct medical costs were 24.6%(3.4 trillion KRW), the costs for loss of productivity by healthcare utilization were 13.0%(1.8 trillion KRW), and the costs for loss of productivity by premature death were 62.4%(8.6 trillion KRW). Conclusions : In this study, the socioeconomic cost of injuries in Korea between 2001 and 2003 was estimated by using not only health insurance claims data, but also automobile insurance, IACI claims and mortality data. We conclude that social efforts are required to reduce the socioeconomic cost of injuries in Korea, which represented approximately 1.9% of the GDP for the time period specified.

• Journal of Society of Preventive Korean Medicine
• /
• v.19 no.2
• /
• pp.51-56
• /
• 2015

Objective : We analyzed present condition of cooperative medical care using claims data of HEALTH INSURANCE REVIEW & ASSESSMENT SERVICE form patients treated by Korean-Western cooperative medicine. The study aimed to offer guidelines in selecting disease-related research in developing Korean-Western convergence technology. Method : Based on the patients using Korean medical service, we analyzed claims data of patients using Korean medical service and western medical service from January 2012 to December 2013. We were assigned to the server remotely. With the concept of 'episode of care', we rebuilt claims data and analyzed present condition of cooperative medical usage. Results : We analyzed present condition of cooperative medical care per episode of care. Among outpatients, Low back pain, lumbar region(M5456) was the highest number. Among inpatients, Sciatica due to intervertebral disc disorder(M511) was the highest number. Conclusion : Based on the claims data provided by HEALTH INSURANCE REVIEW & ASSESSMENT SERVICE, we have derived a list of multy frequently disease frequently treated by cooperative medical care by analyzing present condition.

• Health Policy and Management
• /
• v.24 no.4
• /
• pp.322-329
• /
• 2014

Background: As most of people in Korea are covered by National Health Insurance (NHI), the disease information collected in NHI provides high availability for health policy. Nevertheless, the validity of disease codes in NHI data has been controversial till now. So we tried to evaluate the validity of them by comparing the NHI claims data with Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) data. Methods: We compared the NHI patients sample data (2009) with the KNHDIIS data (2009). We selected the inpatient data of KNHDIIS and NHI patients sample. The weighted number of patients from NHI patients sample was 5,551,210 and the number of patients from KNHDIIS was 5,559,874. We classified the disease codes into principal diagnoses and other diagnoses, and we compared as one, two, three unit level. Also we calculated the agreement rate of each of them. Results: In the comparison of principal diagnoses, NHI claims data had more C code than KNHDIIS data did, whereas KNHDIIS data had more Z code than NHI claims data did. In the comparison of other diagnoses, NHI claims data had 2, 3 more codes than KNHDIIS data did. The overall agreement rate at three unit level was 76.5% in principal diagnoses and 46.8% in other diagnoses. Conclusion: Considering the large difference between the two data, the validity of disease codes in NHI Claims data seems to be low. To increase the validity of them, the definite detail coding indicator, the reinforcement of coding education, and the reform of system are needed.

• Health Policy and Management
• /
• v.13 no.1
• /
• pp.98-115
• /
• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.

• Safety and Health at Work
• /
• v.13 no.2
• /
• pp.135-140
• /
• 2022

Background: Coal mining is a hazardous industry. The purpose of the study is to identify the nature of occupational injuries and diseases among coal miners and to determine the factors that affect the rate of injury and duration of time loss from work. Methods: A retrospective cohort study was conducted using accepted workers' compensation claims data of 30,390 Australian coal miners between July 2003 and June 2017. Results: Musculoskeletal and fracture conditions accounted for approximately 60% of claims in all occupational groups. Cox regression analysis showed that older age and female gender were significant predictors of longer time off work. Injury types and occupations were associated with work time loss: mental health conditions, and machine operators and drivers had significantly longer durations of time off work. Conclusion: Future research can further address how these factors led to longer time off work so that coal industry regulators, employers, and healthcare providers can target interventions more effectively to these at-risk workers.

• Health Policy and Management
• /
• v.23 no.2
• /
• pp.152-161
• /
• 2013

Korea has a single National Health Insurance program and all citizens are covered under this program, accounting 97% of the population, approximately 50 million people. Claims submitted by Health care providers are reviewed by Health Insurance Review and Assessment (HIRA) for the reimbursement. HIRA database contains not only individual beneficiary's information, but also healthcare service information such as diagnosis, procedures, prescriptions and tests for them. HRA database has gained attention as importance source for research due to its rich healthcare information and the demand of HIRA database has increased. Due to its tremendous size, however, researchers have had problems in accessing the database to conduct research. To meet this demand, we conducted a study to develop the inpatient sample data from HIRA database for research. This study has two purposes: 1) to determine a needed sample size; 2) to test reliability and validity of the sample data. We determined an adequate sample size to ensure representativeness and generality with additional consideration for convenience of calculation. The minimum sample size was 729,904 for the generality, and 488,861 for representativeness. After considering the convenience of calculation, our final sample size was 13% of the population, which was about 7.7 million beneficiaries. Age (5 years interval) and gender were used as stratification variables for sampling. In order to examine whether this sample data appropriately reflect population, we tested the reliability and validity of the sample data. From the sample data, we computed average expenditure of total claims per inpatient for 2011, frequency of top 30 disease, estimation of the number of stroke patients from the sample data, and then compared them to those from the population. Results confirmed reliability and validity of the sample data.

• Journal of Digital Convergence
• /
• v.11 no.10
• /
• pp.593-608
• /
• 2013

According to increasing number of injury claims, the challenge is reducing investigation of cases of injuries by selecting them more delicately, while also increasing the redemption rates and the amount of restitution. In this regards, we developed the fraud detection model for injury claims of self-employed insured by using decision tree after collecting medical claim data from 2006 to 2011 of the National Health Insurance in Korea. As a result of this model, subject types were classified into 18 types. If applying these types to the actual survey compared with if not applying, the redumption collecting rate will be increasing by 12.8%. Also, the effectiveness of this model will be maximize when the number of claims handlers considering their survey volume and management plans are examined thoroughly.

• Health Policy and Management
• /
• v.19 no.3
• /
• pp.109-124
• /
• 2009

Background: This study aimed to examine whether cases of punishing false claimants threat general physicians to check their medical cost claims with care to avoid being suspected, and identify empirically general deterrence effects of the on-site investigation system in the Korean National Health Insurance. Methods: 800 clinics were selected among a total of 15,443 clinics that had no experience of on-site investigation until June 2007 using a stratified proportional systematic sampling method. We conducted logistic multiple regression to examine the association between factors related to provider's perception of on-site investigation and high level of perceived deterrence referring to fear of punishment after adjusting provider's service experiences and general characteristics. Results: The probability of high perceived deterrence was higher 1.7 times (CI: 1.13-2.56), 2.73 times (CI: 1.68-4.45) each among clinics exchanging the information once or more per year or once or more for 2-3 months than among clinics no exchanging the information about on-site investigation. Also, the probability of high perceived deterrence was higher 2.27 times (CI: 1.28-4.45) among clinics that knows more than 3 health care institutions having experienced an on-site investigation than among clinics knowing no case. Conclusion: A clinic knowing more punishment cases by onsite investigation and exchanging more frequently information about on-site investigation is likely to present high perceived deterrence. This result will provide important information to enlarge preventive effects of on-site investigation on fraud and abuse claims.

• Journal of Preventive Medicine and Public Health
• /
• v.33 no.1
• /
• pp.76-82
• /
• 2000

Objectives : We attempted to assess He accuracy of ICD codes for cerebrovascular diseases in medical insurance claims (ICMIC) and to investigate the reasons for error. This study was designed as a preliminary study to establish a nationwide surveillance system. Methods : A total of 626 patients with medical insurance claims who indicated a diagnosis of cerebrovascular diseases during the period from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 115,600 persons). The KMIC cohort was 10% of those insured who had taken health examinations in 1990 and 1992 consecutively. The registered medical record administrators were trained in the survey technique and gathered data from March to May 1999. The definition of cerebrovascular diseases in this study included cases which met ore of two criteria (Minnesota, WHO) or 'definite stroke' in CT/MRI finding. We questioned the medical record administrators to explain the error if the final diagnoses were not coded as stroke. Results : The accuracy rate of the ICMIC was 83.0% (425 cases) Medical records were not available for 8.2% (51 cases) due to the closing of hospitals, the absence of a computer system or omission of medical record, etc. Sixty-three cases (10.0%) were classified as impossible to interpret due to insufficient records in 'major clinical symptoms' or 'neurological deficits'. The most common reason was 'to meet review criteria of medical insurance benefits (52.9%)'. The department where errors in the ICMIC occurred most frequently was the department for medical insurance claims in the hospital. Conclusion : The accuracy rate of the ICMIC was 83.0%.