• Health Policy and Management
• /
• v.31 no.2
• /
• pp.173-179
• /
• 2021

Background: In Korea, the length of stay and medical expenses incurred by medical aid patients are increasing at a rate faster than the national health insurance. Therefore, there is a need to create a management strategy for each type of hospitalization to manage the length of stay of medical aid patients. Methods: The study used data from the 2019 National Health Insurance Claims. We analyzed the factors that affect the length of stay for 186,576 medical aid patients who were hospitalized for more than 31 days, with a focus on the type of hospitalization in long-term care hospitals. Results: The study found a significant correlation between gender, age, medical aid type, chronic disease ratio, long-term care hospital patient classification, and hospitalization type variables as factors that affect the length of hospital stay. The analysis of the differences in the length of stay for each type of hospitalization showed that the average length of stay is 291.4 days for type 1, 192.9 days for type 2, and 157.0 days for type 3, and that the difference is significant (p<0.0001). When type 3 was 0, type 1 significantly increased by 99.4 days, and type 2 by 36.6 days (p<0.0001). Conclusion: A model that can comprehensively view factors, such as provider factors and institutional factors, needs to be designed. In addition, to reduce long stays for medical aid patients, a mechanism to establish an early discharge plan should be prepared and concerns about underutilization should be simultaneously addressed.

• Journal of Convergence for Information Technology
• /
• v.11 no.6
• /
• pp.270-281
• /
• 2021

With the development of information technology, the size of insurance fraud is increasing rapidly every year, and the method is being organized and advanced in conspiracy. Although various forms of prediction models are being studied to predict and detect this, insurance-related information is highly sensitive, which poses a high risk of sharing and access and has many legal or technical constraints. In this paper, we propose a machine learning insurance fraud prediction model based on blockchain, one of the most popular technologies with the recent advent of the Fourth Industrial Revolution. We utilize blockchain technology to realize a safe and trusted insurance information sharing system, apply the theory of social relationship analysis for more efficient and accurate fraud prediction, and propose machine learning fraud prediction patterns in four stages. Claims with high probability of fraud have the effect of being detected at a higher prediction rate at an earlier stage, and claims with low probability are applied differentially for post-reference management. The core mechanism of the proposed model has been verified by constructing an Ethereum local network, requiring more sophisticated performance evaluations in the future.

• Journal of Preventive Medicine and Public Health
• /
• v.31 no.3 s.62
• /
• pp.471-480
• /
• 1998

This study was undertaken in order to estimate the accuracy of disease code of the Korean National Medical Insurance Data and disease the characteristics related to the accuracy. To accomplish these objectives, 2,431 cases coded as notifiable acute communicable diseases (NACD) were randomly selected from 1994 National Medical Insurance data file and family medicine specialists reviewed the medical records to confirm the diagnostic accuracy and investigate the related factors. Major findings obtained from this study are as follows : 1. The accuracy rate of disease code of NACD in National Medical Insurance data was very low, 10.1% (95% C.I. : 8.8-11.4). 2. The reasons of inaccuracy in disease code were 1) claiming process related administrative error by physician and non-physician personnel in medical institutions (41.0%), 2) input error of claims data by key punchers of National Medical Insurer (31.3%) and 3) diagnostic error by physicians (21.7%). 3. Characteristics significantly related with lowering the accuracy of disease code were location and level of the medical institutions in multiple logistic regression analysis. Medical institutions in Seoul showed lower accuracy than those in Kyonngi, and so did general hospitals, hospitals and clinics than tertiary hospitals. Physician related characteristics significantly lowering disease code accuracy of insurance data were sex, age group and specialty. Male physicians showed significantly lower accuracy than female physicians; thirties and fortieg age group also showed significantly lower accuracy than twenties, and so did general physicians and other specialists than internal medicine/pediatric specialists. This study strongly suggests that a series of policies like 1) establishment of peer review organization of National Medical Insurance data, 2) prompt nation-wide expansion of computerized claiming network of National Medical Insurance and 3) establishment and distribution of objective diagnostic criteria to physicians are necessary to set up a national disease surveillance system utilizing National Medical Insurance claims data.

• Journal of Convergence for Information Technology
• /
• v.11 no.10
• /
• pp.194-204
• /
• 2021

This study was conducted to find out the status and factors of private health insurance subscriptions by life cycle and to identify differences in medical usage behavior by life cycle. Using the SPSS 26 program as the 12th-15th (2016-2019) data of the Korea Welfare Panel, the difference subscriptions was identified as Chi-square by demo social and health characteristics of 58,223 people, and the factors affecting subscription were analyzed by polynomial logistic analysis and average analysis was performed for medical use behavior. As a result of the analysis, the biggest factor in purchasing private health insurance was household income, private health insurance coverage is the highest in growth period, and multiple subscriptions were made depending on household income. In youth, household income, spouse, and no disability, and middle age, household income, economic activities, spouses, and health levels were largely influential factors. The rate of private health insurance coverage in old age was the lowest, and low-income households, poor health levels, and people with disabilities were lower. The increase in medical use by private health insurance subscribers also occurred during growth and youth. It is necessary to strengthen the national health insurance coverage, and the role of private health insurance to supplement it should be established in time for the life cycle to complement each other, eliminating blind spots of medical security and maximizing people's health and well-being.

• Journal of Korean Academy of Nursing
• /
• v.39 no.4
• /
• pp.574-583
• /
• 2009

Purpose: This paper analyzed alternative methods of calculating the conversion factor for nurse-midwife's delivery services in the national health insurance and estimated the optimal reimbursement level for the services. Methods: A cost accounting model and Sustainable Growth Rate (SGR) model were developed to estimate the conversion factor of Resource-Based Relative Value Scale (RBRVS) for nurse-midwife's services, depending on the scope of revenue considered in financial analysis. The data and sources from the government and the financial statements from nurse-midwife clinics were used in analysis. Results: The cost accounting model and SGR model showed a 17.6-37.9% increase and 19.0-23.6% increase, respectively, in nurse-midwife fee for delivery services in the national health insurance. The SGR model measured an overall trend of medical expenditures rather than an individual financial status of nurse-midwife clinics, and the cost analysis properly estimated the level of reimbursement for nurse-midwife's services. Conclusion: Normal vaginal delivery in nurse-midwife clinics is considered cost-effective in terms of insurance financing. Upon a declining share of health expenditures on midwife clinics, designing a reimbursement strategy for midwife's services could be an opportunity as well as a challenge when it comes to efficient resource allocation.

• Clinical and Experimental Pediatrics
• /
• v.51 no.4
• /
• pp.339-342
• /
• 2008

The Korean Health Insurance (KHI) has been introduced since 1977 and it took only 12 years that KHI had accomplished the total coverage of Korean population. The remarkable success of KHI can be compared with other OECD countries which had taken some 30 years to over 100 years to establish the total coverage of the population. Life expectancy at birth and the infant mortality rate in Korea in 2005 both surpassed the average figures of the OECD countries, The main reason for the success of KHI can be delineated with the three characteristics in KHI development; low premiums, low benefits, and low fee-schedule charges. However, these three characteristics of KHI, which had been the key for the rapid development of the system, have become terrible disadvantages for the stable development of KHI. The dissatisfaction and discontent of health care providers are ever increasing. The population is reluctant to pay more premiums though it seems essential for the better care coverage. The health care system has been heavily distorted toward high technology-oriented expensive care. There should be several factors seriously tackled for the secure development of KHI in the future. This paper will review a brief history of KHI development, and I would like to make a suggestion of health insurance for children.

• Women's Health Nursing
• /
• v.17 no.4
• /
• pp.328-336
• /
• 2011

Purpose: The purpose of this study is to develop the optimal nursing fee for nurse-midwifery center (MC) in the national health insurance system. Methods: The three methodologies used to calculate the conversion factors for the MCs in the national health insurance include cost accounting method, sustainable growth rate (SGR) model, and index model. In this study, the macro-economic indicators and the national statistics were used to estimate the conversion factors for the MCs. Results: The optimal nursing fee for the MCs in 2011 was estimated to be an increase of 57.7% by cost accounting analysis, a decrease of 17.1% by SGR model, and a decrease of 16.1% by index model. The results from SGR model and index model could had been biased due to the upswing of medical spendings in the short-term period (2008~2009). A sensitivity analysis of pre-delivery subsidy program for OB & GYN hospitals and clinics showed that the program has substantially diminished the demand for the MC services. Conclusion: More reliable methodologies to estimate nursing fees precisely are required to prove the value of nurses' services and a government subsidy program for the MC services should be followed from a social perspective.

• Health Policy and Management
• /
• v.22 no.3
• /
• pp.427-450
• /
• 2012

Objectives : This study examined the factors influencing variation by local areas of antibiotics prescription rate in upper respiratory infections (URI) according to the public reporting. Methods : We used the National Health Insurance Claims Data which the clinics claimed for URI (Korean Standard Classification of Disease, J00 ~ J06) in ambulatory care. The period of analysis was from the first quarter (from January to March) of 2005 to the first quarter of 2007. The number of samples was total 242 local areas that included all clinics (N = 7,942), which prescribed antibiotics for URI in ambulatory care. Results : None of the demographic and socioeconomic characteristic indicators was statistically significant. Among the provider factors, An increase in number of doctors and the average annual antibiotics prescription rate (from 2003 to 2004) for URI by local area were significantly related to an increase of antibiotics prescription rate according to the public reporting. And an increase in number of pediatric clinics, the proportion of clinics less than 5 years since has opened and the average annual fluctuation of antibiotics prescription rate (from 2003 to 2005) were significantly related to a decrease in antibiotics prescription rate by local area according to the disclosure of information. Conclusions : According to the public reporting, the antibiotics prescription rate in clinics had decreased sharply. However, the reduction of antibiotic prescription rate varied in different local areas. The factors influencing variation by local areas in antibiotics prescription rate can be used for establishing effective strategies to reduce variation by region in antibiotics prescription rate.

• KDI Journal of Economic Policy
• /
• v.39 no.4
• /
• pp.69-94
• /
• 2017

This paper re-examines the impacts an institutional arrangement may have on labour market outcomes such as the employment and unemployment rates. Based on the results from a generalized econometric model, the generosity of unemployment insurance benefits, organized labour and active labour market policy have effects on a labour market in line with previous findings. However, taxes on labour and the degree of employment protection are found to affect neither the employment rate nor the unemployment rate. Thus, some findings in this paper validate earlier findings, whereas others do not.

• Journal of Preventive Medicine and Public Health
• /
• v.5 no.1
• /
• pp.125-132
• /
• 1972

The status of health administration and medicare insurance program of 58 universities and colleges of 4-year course was studyed in 1971 and the following results were obtained; 1. The average number of students of 30 universities was $4,800{\pm}2,600$ and that of 36 colleges was $780{\pm}620$. 2. The types of health service facilities for the students varied widely according to the institutions, from an elaborate one, university health center, to a poor one, first aid room. 3. Thirty-six out of 58 institutions had some sort of health service facilities, either health center or health service room. And 14 out of 36 institutions had elaborate health service facilities such as university health center or student health center 4. The number of full time staff of the health center and that of the health service room were 2 to more than 10 and 0 to 3 respectively. 5. The range of student health service fee varied widely according to the institutions from \50 to \550 per student, per semester. The average cost of student health service fee at the institutions with health centers was $\300{\pm}150$ and that with health service rooms was $\200{\pm}150$ per student, per semester. 6. Utility rate of the student health service facilities at the institutions with health centers and with health service rooms were 1,200 to 1,400 and 3,900 to 4,100 per 1,000 students per year. 7. There was an obvious increasing tendency of tuberculosis prevalence rate in the students. 8. The institutions which had appointed hospitals for student medicare were 24; where the reduction rate of medical expenses for students varied from 10 to 50 per cent. 9. Students medicare insurance program was adopted by six universities which accomodated more than 2,000 students. 10. The range of student medicare insurance fee varied widely according to the institutions from \140 to \800 per student per year. Each of the six universities which had adopted the insurance program had each own's special regulations to apply for pay claims.