scholarly journals The impact of national health insurance coverage on pit and fissure sealing experience

2018 ◽  
Author(s):  
Jin-Sun Choi ◽  
Deok-Young Park
2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G R Lee ◽  
J H Lee

Abstract In South Korea, Cancers, cardiac disease, cerebrovascular diseases and rare incurable disease cause high medical expenses which are putting a heavy burden on the household economy. They are called '4 Major Severe Diseases'. The government has established the plan of Expanding Coverage for Four Major Severe Diseases. The Policy of Expanding Coverage for the 4 Major Severe Diseases is to apply the necessary medical services including coverage for uncovered services to national health insurance payments in stages. This study aims to evaluate the effects of the policy implemented from 2013 to 2015 by comparing the changes in the out-of-pocket payments before and after the policy. Using the data from the Korea Health Panel(2012, 2016), the policy effect was evaluated by the Difference-In-Difference analysis. A total of 4,686 patients (2,343 in 2012 and 2,343 in 2016) were included, who are enrolled in National Health Insurance, and have at least one chronic disease. People who are under 20 years old were excluded. In addition, severity of disease was adjusted by CCI(Charson's comorbidity index). Compared to before the policy was implemented, the Out-of-pocket payments significantly decreased. In addition, there were significant differences in gender, types of health care system, disabled, economic activity, income level, and CCI. According to previous studies, the policy of Expanding health insurance coverage since 2005 has been criticized for its low effectiveness. However, It is revealed that the Policy of Expanding Coverage for 4 Major Severe Diseases has an effect in this study. Given that the policy needs time to work, this study showed the effect of the policy more comprehensively compared to previous studies evaluating the effectiveness for just one year. Key messages Due to the Policy of Expanding Coverage for 4 Major Severe Diseases, the out-of-pocket health expenditure were reduced in the policy group. Given that the policy needs time to work, this study has shown more comprehensive results than previous studies that evaluated the effect of policy carried out over a short period.


2021 ◽  
Vol 64 (10) ◽  
pp. 648-653
Author(s):  
Seong Ho Park ◽  
Chang Min Park ◽  
Joon-Il Choi

Background: Interest in health insurance coverage for artificial intelligence (AI)–based medical technologies is growing. This article provides a review of the current developments in the sphere and provides future perspectives, focusing on AI application in radiology.Current Concepts: In December 2019, the Health Insurance Review and Assessment Service under the Korean Ministry of Health and Welfare released its first guidelines for determining the National Health Insurance coverage for AI–based medical technologies. Additionally, in 2020, the largest US health insurance provider, the Centers for Medicare and Medicaid Services, approved payment for AI technologies using two different systems. First, in September 2020, it granted New Technology Add-on Payments for AI algorithms that facilitate the diagnosis and treatment of large vessel occlusion strokes. Second, in December 2020, the Centers for Medicare and Medicaid Services finalized the provision of reimbursements for IDx-DR through a Current Procedural Terminology code. The AI system screens for more than mild diabetic retinopathy, which requires further evaluation by an ophthalmologist.Discussion and Conclusion: An in-depth look at the three events suggests the importance of demonstrating the added clinical value of AI technologies through improved patient outcomes in enabling insurance coverage. Therefore, it is critical to create clinically meaningful collaboration between healthcare professionals and AI by understanding and combining their unique strengths, thus actualizing new forms of patient care instead of having AI merely copy the professionals. Furthermore, if National Health Insurance coverage is granted for AI technologies in radiology, add-on payments would be the most appropriate method.


2015 ◽  
Vol 15 (3) ◽  
pp. 287-294 ◽  
Author(s):  
Yun-Min Heo ◽  
Hyoung-Joo Kim ◽  
Mi-Na Kim ◽  
Hee Jung Lim ◽  
Myoung-Hee Kim ◽  
...  

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