• Health Policy and Management
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• v.22 no.4
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• pp.561-578
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• 2012

This study was performed in order to compare a change in pharmaceutical expenditures per outpatient of clinic and to analyze factors relevant to a systems as part of evaluating policies for the incentive scheme to reduce total prescribed drug expenditure and for the drug utilization review system("DUR system" hereafter). For this, it had finally analytical subjects as 21,320 clinics nationwide without a change in location, clinics symbol and signed subject during both terms of the first half of 2010 and the first half of 2011. As a result, the odds ratio with reduction in pharmaceutical expenditures of clinic was statistically higher significantly in the shorter year number of opening clinic, in the larger number of doctors, when the classification of establishment is other, not individual, and when the signed subject is surgical division. Also, the odds ratio was significantly higher in the less patient number of clinic and in the lower ratio of patients aged over 65. Finally, the odds ratio was significantly high when a clinic had been located in DUR system demonstrative project area. Through this, a case of policy for improvement in doctor's autonomous prescription behavior like DUR system can be known to be effective for reduction in pharmaceutical expenditures. A future research on evaluation of policy for pharmaceutical expenditure management system will need to be performed in-depth analysis in consideration of diverse characteristics on the participatory entities.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.319-328
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• 2021

Parallel administration of numerous drugs increases Drug-Drug Interaction (DDI) because one drug might affect the activity of other drugs. DDI causes negative or positive impacts on therapeutic output. So there is a need to discover DDI to enhance the safety of consuming drugs. Though there are several DDI system exist to predict an interaction but nowadays it becomes impossible to maintain with a large number of biomedical texts which is getting increased rapidly. Mostly the existing DDI system address classification issues, and especially rely on handcrafted features, and some features which are based on particular domain tools. The objective of this paper to predict DDI in a way to avoid adverse effects caused by the consumed drugs, to predict similarities among the drug, Drug pair similarity calculation is performed. The best optimal weight is obtained with the support of KHA. LSTM function with weight obtained from KHA and makes bets prediction of DDI. Our methodology depends on (LSTM-KHA) for the detection of DDI. Similarities among the drugs are measured with the help of drug pair similarity calculation. KHA is used to find the best optimal weight which is used by LSTM to predict DDI. The experimental result was conducted on three kinds of dataset DS1 (CYP), DS2 (NCYP), and DS3 taken from the DrugBank database. To evaluate the performance of proposed work in terms of performance metrics like accuracy, recall, precision, F-measures, AUPR, AUC, and AUROC. Experimental results express that the proposed method outperforms other existing methods for predicting DDI. LSTMKHA produces reasonable performance metrics when compared to the existing DDI prediction model.

• Health Policy and Management
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• v.25 no.3
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• pp.185-196
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• 2015

Background: Issues concerning with the classification accuracy of Korean Outpatient Groups (KOPGs) have been raised by providers and researchers. The KOPG is an outpatient classification system used to measure casemix of outpatient visits and to adjust provider risk in charges by the Health Insurance Review & Assessment Service in managing insurance payments. The objective of this study were to refine KOPGs to improve the classification accuracy and to evaluate the refinement. Methods: We refined the rules used to classify visits with multiple procedures, newly defined chemotherapy drug groups, and modified the medical visit indicators through reviews of other classification systems, data analyses, and consultations with experts. We assessed the improvement by measuring % of variation in case charges reduced by KOPGs and the refined system, Enhanced KOPGs (EKOPGs). We used claims data submitted by providers to the HIRA during the year 2012 in both refinement and evaluation. Results: EKOPGs explicitly allowed additional payments for multiple procedures with exceptions of packaging of routine ancillary services and consolidation of related significant procedures, and discounts ranging from 30% to 70% were defined in additional payments. Thirteen chemotherapy drug KOPGs were added and medical visit indicators were streamlined to include codes for consultation fees for outpatient visits. The % of variance reduction achieved by EKOPGs was 48% for all patients whereas the figure was 40% for KOPGs, and the improvement was larger in data from tertiary and general hospitals than in data from clinics. Conclusion: A significant improvement in the performance of the KOPG was achieved by refining payments for visits with multiple procedures, defining groups for visits with chemotherapy, and revising medical visit indicators.

• Journal of Information Science Theory and Practice
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• v.3 no.1
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• pp.6-23
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• 2015

This study develops an effective method for sentiment analysis of user-generated content on drug review websites, which has not been investigated extensively compared to other general domains, such as product reviews. A clause-level sentiment analysis algorithm is developed since each sentence can contain multiple clauses discussing multiple aspects of a drug. The method adopts a pure linguistic approach of computing the sentiment orientation (positive, negative, or neutral) of a clause from the prior sentiment scores assigned to words, taking into consideration the grammatical relations and semantic annotation (such as disorder terms) of words in the clause. Experiment results with 2,700 clauses show the effectiveness of the proposed approach, and it performed significantly better than the baseline approaches using a machine learning approach. Various challenging issues were identified and discussed through error analysis. The application of the proposed sentiment analysis approach will be useful not only for patients, but also for drug makers and clinicians to obtain valuable summaries of public opinion. Since sentiment analysis is domain specific, domain knowledge in drug reviews is incorporated into the sentiment analysis algorithm to provide more accurate analysis. In particular, MetaMap is used to map various health and medical terms (such as disease and drug names) to semantic types in the Unified Medical Language System (UMLS) Semantic Network.

• Journal of Korean Neurosurgical Society
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• v.66 no.3
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• pp.308-315
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• 2023

Recent updates in genomic-integrated glioma classification have caused confusion in current clinical practice, as management protocols and health insurance systems are based on evidence from previous diagnostic classifications. The Korean Brain Tumor Society conducted an electronic questionnaire for society members, asking for their ideas on risk group categorization and preferred treatment for each individual diagnosis listed in the new World Health Organization (WHO) classification of gliomas. Additionally, the current off-label drug use (OLDU) protocols for glioma management approved by the Health Insurance Review and Assessment Service (HIRA) in Korea were investigated. A total of 24 responses were collected from 20 major institutes in Korea. A consensus was reached on the dichotomic definition of risk groups for glioma prognosis, using age, performance status, and extent of resection. In selecting management protocols, there was general consistency in decisions according to the WHO grade and the risk group, regardless of the individual diagnosis. As of December 2022, there were 22 OLDU protocols available for the management of gliomas in Korea. The consensus and available options described in this report will be temporarily helpful until there is an accumulation of evidence for effective management under the new classification system for gliomas.

• YAKHAK HOEJI
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• v.58 no.4
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• pp.262-267
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• 2014

Unused medication disposal is a burden due to the cost of disposing as well as the cost of the drugs. Investigating medication returns is expected to suggest areas of intervention to reduce unused medications. Purpose: The aim of this study was to examine types, quantity, costs, active pharmaceutical ingredients, and therapeutic category of the medications returned to community pharmacies. Method: From January 15, 2014 to February 28, 2014, the medications returned to the 17 community pharmacies in Gimhae, Jinju, and Incheon, Korea were examined. The pharmacists and student volunteers worked cooperatively to identify the medications and analyze drug cost of prescription pill medications returned to the pharmacies. Results: A total of 2,720 pills of prescription medication were analyzed and 91 active pharmaceutical ingredients were identified. According to the Anatomical Therapeutic Chemical (ATC) classification, the most predominant group was A (alimentary tract and metabolism) with 33.3%, followed by N (nervous system) with 15.0%. With regard to the drug cost of groups, group A was the highest with 26.6%, followed by J01 (antibacterials for systemic use) with 20.2% and N (nervous system) with 18.3%. The total cost of the oral pill prescription medications was 468,477 won. Conclusion: The result from this study implies that unused drugs impose a significant cost to the health care system in Korea. In this study, medicines used to treat gastrointestinal conditions were returned most frequently with the highest drug cost. Further research in nationwide level is necessary to establish strategies to reduce the wastage of unused medicines.

• Korean Journal of Clinical Pharmacy
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• v.24 no.1
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• pp.45-52
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• 2014

Objective: To evaluate the clinical manifestations and causative drugs of the outpatient adverse drug reactions (ADRs) reported by community pharmacy. Methods: From April 2013 to September 2013, all outpatient ADRs reported by community pharmacy to Regional Pharmacovigilance Center of Korean Pharmaceutical Association were included. The causality of ADRs was assessed by the criteria of WHO-Uppsala Monitoring Centre. The clinical features and the offending drugs were analyzed using the WHO-Adverse Reaction Terminology and the classification of American Hospital Formulary Service Drug Information, respectively. Results: 2,826 (97.0%) of the total 2,912 ADRs had causal relationship. The 1,923 patients with mean age of 55.1 years and female fraction of 66.5% were included in the ADRs. Gastrointestinal (33.6%), nervous system (14.9%), and skin (13.5%) symptoms were common in ADRs. Analgesic drugs (19.7%), gastrointestinal drugs (17.7%), and central nervous system drugs (11.0%) were prevalent offending drugs. The leading causative generic drug was the complex of acetaminophen and tramadol. Among 203 ADRs by the nonprescription drugs, the most common clinical features were skin (37.4%) and gastrointestinal (23.6%) symptoms and the most prevalent offending drugs were analgesic drugs (40.0%) and mucocutaneous system drugs (16.3%). The combination of acetaminophen and chlorzoxazone was the leading causative generic in nonprescription drugs. Conclusion: In this study, gastrointestinal symptom was the most common manifestation and analgesic drug was the most common causative drug in outpatient ADRs reported by community pharmacy.

• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.41-52
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• 2023

With the international change in the medical device market owing to the development of innovative medical engineering and the use of various raw materials, a systematic and rational medical device classification system is needed to safely manage newly developed medical devices. This study aims to improve the domestic medical device classification system by proposing product establishment and segmentation. It is based on medical device products from the United States and Europe that are only available in foreign systems and are more subdivided than domestic products. This study analyzes and compares the domestic and foreign medical device classification systems by examining laws, guidelines, and analysis reports in Korea, the United States, and Europe. In accordance with product establishment and segmentation criteria, products subject to improvement are presented. This study contributes to safely managing medical devices that do not fit with the current classification system and to solving the confusion caused by the lack of international harmony in product classification systems.

• Journal of Internet Computing and Services
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• v.12 no.6
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• pp.117-128
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• 2011

In this paper, we present a novel approach for contents-based medication image retrieval from a medication image database using the shape classification and color information of the medication. One major problem in developing a contents-based drug image retrieval system is there are too many similar images in shape and color and it makes difficult to identify any specific medication by a single feature of the drug image. To resolve such difficulty in identifying images, we propose a hybrid approach to retrieve a medication image based on shape and color features of the medication. In the first phase of the proposed method we classify the medications by shape of the images. In the second phase, we identify them by color matching between a query image and preclassified images in the first phase. For the shape classification, the shape signature, which is unique shape descriptor of the medication, is extracted from the boundary of the medication. Once images are classified by the shape signature, Hue and Saturation(HS) color model is used to retrieve a most similarly matched medication image from the classified database images with the query image. The proposed system is designed and developed especially for specific population- seniors to browse medication images by using visual information of the medication in a feasible fashion. The experiment shows the proposed automatic image retrieval system is reliable and convenient to identify the medication images.

• Health Policy and Management
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• v.16 no.4
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• pp.147-168
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• 2006

Technological innovation has been regarded as the core competence for the economic growth of individual, as well as organization and country. Pharmaceutical innovation, what we call new medicines, influence people's longevity and productivity by increasing output per hour worked. Therefore, using claims data on virtually all the drugs and diseases of over 550,000 people enrolled in National Health Insurance Program in Korea, we examined the impact of the vintage (original FDA and KFDA approval year) of drugs used to treat a patients from July 1st to December 31st in 2002 on the patient's mortality at the end of 2004, controlling for demographic characteristics(age and sex), utilization of medical services, and the nature and complexity of illness. We found that people using newer drugs are less likely to die at the end of 2004, conditional on covariates. The estimated mortality rates were declining with respect to drug vintage for 1970s, 1980s and 1990s and highly significant. In addition to estimating the model for the entire sample, we estimated the model separately for several disease categories classified by Korean Classification of Disease. Estimates of three drug vintage variables for subgroups of people with (1)neoplasms, (2)endocrine, nutritional and metabolic diseases, and (3)the diseases of circulatory system displayed similar patterns.