Deep learning-based applications have great potential to enhance the quality of medical services. The power of deep learning depends on open databases and innovation. Radiologists can act as important mediators between deep learning and medicine by simultaneously playing pioneering and gatekeeping roles. The application of deep learning technology in medicine is sometimes restricted by ethical or legal issues, including patient privacy and confidentiality, data ownership, and limitations in patient agreement. In this paper, we present an open platform, MI2RLNet, for sharing source code and various pre-trained weights for models to use in downstream tasks, including education, application, and transfer learning, to encourage deep learning research in radiology. In addition, we describe how to use this open platform in the GitHub environment. Our source code and models may contribute to further deep learning research in radiology, which may facilitate applications in medicine and healthcare, especially in medical imaging, in the near future. All code is available at https://github.com/mi2rl/MI2RLNet.
Objectives: National health insurance herbal prescription of Korean medicine has been serving important role in public healthcare in spite of continuous demand on revision of system. However, the categories of insurance herbal prescriptions are not equally distributed throughout the KCD-based major disease categories. We analyzed statistical database of claimed national health insurance classified as major disease categories by years. We classified all 56 herbal prescriptions as per their total medical indications into 22 major disease categories to analyze their distribution. Significant increase of M and S-T code claims were found, whereas decrease of U code claims by years. We figured out that the 56 prescriptions were unequally distributed along with enrichment of certain codes such as K and J. Meanwhile, the insurance claim of each prescription was positively correlated with number of code types of their indications. As a result, we believe that the reform of national health insurance herbal prescription list is necessary to promote use of it in clinic.
Bak, Seon-Been;Yeom, Seung-Hee;Kim, Soo-Jin;Han, You-Jeong;Lee, Ji Ho;Kim, Young-Woo;Park, Sun Dong
Herbal Formula Science
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v.30
no.1
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pp.19-25
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2022
Objectives : Huangqintang(⿈芩湯) is a famous herbal prescription in the Traditional Korean Medicine (e.g. Shanghanlun) to treat various chronic disease such as neurological disease and digestive system disease. Its components include Scutellariae Radix(⿈芩), Paeonia lactiflora(芍藥), Glycyrrhizae Radix et Rhizoma(⽢草), Zizyphi Fructus(⼤棗). Methods : In this study, we standardize the name, composition and medical uses of Huangqintang by literature studying and paper searching. Based on the comparison between oriental medicine and modern medicine pharmacology, we linked the medical uses of Huangqintang to Korean Standard Classification of Diseases (KCD). Results and Conclusion : The name of the prescription is unified into "Huangqintang", and its composition ratio between Scutellariae Radix, Paeonia lactiflora, Glycyrrhizae Radix et Rhizoma, and Zizyphi Fructus is 3:2:2:3. Huangqintang is used for enteritis diseases due to its antipyretic and antinflammatory effects. Its medical application was relatied with 'A'code, 'C'code, and 'K'code as indicated by KCD. By standardizing the mixed conceptions of Huangqintang, this review will facilitate the coding of Huangqintang prescription. Therefore, it will make Huangqintang prescription more useful in clinics.
Hyeree Park;Yu Rim Kim;Yerin Pyun;Hyundeok Joo;Aesun Shin
Journal of Preventive Medicine and Public Health
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v.56
no.4
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pp.312-318
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2023
Objectives: We reviewed the operational definitions of colorectal cancer (CRC) from studies using the Korean National Health Insurance Service (NHIS) and compared CRC incidence derived from the commonly used operational definitions in the literature with the statistics reported by the Korea Central Cancer Registry (KCCR). Methods: We searched the MEDLINE and KoreaMed databases to identify studies containing operational definitions of CRC, published until January 15, 2021. All pertinent data concerning the study period, the utilized database, and the outcome variable were extracted. Within the NHIS-National Sample Cohort, age-standardized incidence rates (ASRs) of CRC were calculated for each operational definition found in the literature between 2005 and 2019. These rates were then compared with ASRs from the KCCR. Results: From the 62 eligible studies, 9 operational definitions for CRC were identified. The most commonly used operational definition was "C18-C20" (n=20), followed by "C18-C20 with claim code for treatment" (n=3) and "C18-C20 with V193 (code for registered cancer patients' payment deduction)" (n=3). The ASRs reported using these operational definitions were lower than the ASRs from KCCR, except for "C18-C20 used as the main diagnosis." The smallest difference in ASRs was observed for "C18-C20," followed by "C18-C20 with V193," and "C18-C20 with claim code for hospitalization or code for treatment." Conclusions: In defining CRC patients utilizing the NHIS database, the ASR derived through the operational definition of "C18-C20 as the main diagnosis" was comparable to the ASR from the KCCR. Depending on the study hypothesis, operational definitions using treatment codes may be utilized.
The Journal of Churna Manual Medicine for Spine and Nerves
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v.18
no.2
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pp.53-64
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2023
Objectives This study aimed to investigate the status of Chuna manual therapy(CMT) usage before and after COVID-19 social distancing measures. Methods This study utilized Health Insurance data from April 2019 to May 2023. Quarterly data were collected for Simple Chuna (code 40710), Complex Chuna (code 40720;50% patient expense), Complex Chuna (code 40721;80% patient expense), and Special Chuna (code 40730). Results During the period covered by health insurance, the number of CMT patients was 8,315,838, with 19,332,786 instances of CMT, and a total cost of 544,651,407 won. Due to COVID-19, the application of CMT decreased in the first quarter of 2020, but recovered from 2021, showing an increase in usage by the first quarter of 2023. The decline in the use of all medical institutions in the fourth quarter is believed to be due to restrictions on health insurance coverage for CMT. Conclusions Further research on CMT health insurance is necessary. This research should inform discussions on policies aimed at expanding health insurance coverage for CMT.
Kim, Jae-Joong;Lim, Hyung-Ho;Sun, Yu-Jin;Lee, Dong-Hoon
The Journal of Korea CHUNA Manual Medicine
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v.1
no.1
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pp.83-90
/
2000
Oryeong-San, Pangpungtongseong-San, Rangkyeoksanwha-Tang, Sipeemikwanjoong -Tang and Taeumjoui-Tang are not only examined using the code which are related to overweight in the QRIS but are also investigated the level of Free Radical using the Free Radical Measurement after steeping those 5 prescriptions in water. The results are as follows: 1. We indicated in the study of QRIS that 5 kinds of medicines which used most frequently In the treatment of the obesity appeared to affect the Immune system, spleen, kidneys, pancreas, the fatigue toxicity, TSH, and the metabolic disability but did not influence high on the contents of overweight and those of fatty cell, as well. in addition, there were no significant differences between the prescriptions as regards testosterone and progesterone. 2. In the Free Radical Measurement, Rangkyeoksanwha-Tang evaluated significantly high level of Free Radical, whereas others appear to have the similar level of Free Radical. These findings suggest that the treatment of the obesity affects particular body parts with respect to the control of overweight, although those medicines are not related directly to the areas(such as fatty cell Code), it is possible that they influence on the cure for the obesity. Furthermore, they indicate that with soaking prescription, Free Radical is not produced as much as we expected.
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.
1. Objectives and Methods The purpose of this study was to objectify the diagnosis of Sasang constitution. It was analyzed the adult men and women's [i] sound into 23 factors with PSSC-2004. The study was conducted by subjects inputting 2.5-3 sec of [i] of 586 adult men and women's voices to PSSC-2004. The statistical analysis are applied to three groups : total group, male group, female group. The group of total 586 was composed with 155 Soyangin, 230 Taeumin and 201 Soeumin. The male group was composed with 61 Soyangin, 127 Taeumin and 87 Soeumin. The female group was composed with 94 Soyangin, 103 Taeumin and 114 Soeumin. 2. Results (1) In total group, the Soyangin's code3 was significantly low compared with the others(P=0.011). In total group, the Taeumin's code2 and the Soyangin's code1 were significantly high compared with the others(p=0.007)(P=0.030). (2) In total group, the Soyangin's peak, 50 up in peak and under 3 in peak were significantly low compared with the others(P=0.003) (P=0.005)(P=0.023). (3) In total group, the Taeumin's rank7, rank8, rank9 and rank10 were significantly high compared with the others (P=0.013)(P=0.015) (P=0.016)(P=0.003). (4) In male group, the Soeumin's code3 was significantly high compared with the others(P=0.002). (5) In male group, the Soeumin's peak sum was significantly high compared with the others(P=0.009). It was significant for distinction between Soeumin and Soyangin at the result of post mortem. In male group, the Soeumin's 50 up in peak, 50 down in peak were significantly high compared with the others(P=0.049)(p=0.037). In male group, the Soeumin's under 3 in peak was significantly high compared with the others(P=0.016). It was significant for distinction between Soeumin and Soyangin at the result of post mortem. (6) In male group, the Soeumin's rank 2, rank 3 and rank 4 were significantly low compared with the others(P=0.011) (0.011)(0.024). (7) In female group, the Taeumin's code2 was significantly high compared with the others(P=0.023). In female group, the Soyangin's code1 was significantly low compared with the others (P=0.046). In female group, Soyangin's code-1 was significantly high compared with the others(P=0.024). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. (8) In female group, the Taeumin's peak sum was significantly high compared with the others(P=0.024). It was significant for distinction between Taeumin and Soyangin at the result of post mortem. In female group, the Taeumin's 50 up in peak was significantly high compared with the others(P=0.012). (9) In female group, the Taeumin's rank 7, rank 8, rank 9 and rank 10 were significantly high compared with the others (P=0.009) (P=0.013)(P=0.016)(P=0.023). 3. Conclusion From above result, there is the possibility of efficiency standardguide for constitutional diagnosis by analyzation of the voices.
Journal of the Korean Society of Physical Medicine
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v.18
no.1
/
pp.77-86
/
2023
PURPOSE: This study developed an experimental algorithm, which is similar or identical to semantic linking for KCF codes, even if it converted existing semantic code linking methods to morphological code extraction methods. The purpose of this study was to verify the applicability of the system. METHODS: An experimental algorithm was developed as a morphological extraction method using code-specific words in the KCF code descriptions. The algorithm was designed in five stages that extracted KCF code using natural language paragraphs. For verification, 80 clinical natural language experimental cases were defined. Data acquisition for the study was conducted with the deliberation and approval of the bioethics committee of the relevant institution. Each case was linked by experts and was extracted through the System. The linking accuracy index model was used to compare the KCF code linking by experts with those extracted from the system. RESULTS: The accuracy was checked using the linking accuracy index model for each case. The analysis was divided into five sections using the accuracy range. The section with less than 25% was compared; the first experimental accuracy was 61.24%. In the second, the accuracy was 42.50%. The accuracy was improved to 30.59% in the section by only a weight adjustment. The accuracy can be improved by adjusting several independent variables applied to the system. CONCLUSION: This paper suggested and verified a way to easily extract and utilize KCF codes even if they are not experts. KCF requires the system for utilization, and additional study will be needed.
This paper reviewed structure and current status of laws related to patient safety using patient safety law matrix to promote systematic approach in legal system of patient safety. Laws related to patient safety can be divided into three areas: laws for preventing; laws for knowing about; and laws for responding. In the case of Korea, gaps are especially prominent in the areas of laws for knowing about and responding. Patient safety law which will be enacted in July 2016 will fill the gap in the area of laws for knowing about. This law will be comprehensive law, covering the full spectrum of laws related to patient safety. However, after reviewing current patient safety law in Korea, the following drawbacks were identified: absence of code for grasping the current patient safety level; absence of code for mandatory reporting in patient safety reporting system; and absence of code for privilege about patient safety work product. Furthermore we need wider discussions about covering issues of open disclosure, apology law, coroners system, and complaint management system in patient safety law.
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