• 제목/요약/키워드: treatment data

검색결과 11,201건 처리시간 0.041초

대학치과병원 예방치과운영 전·후의 환자진료행태와 진료비용 변화 (Changes in treatment behavior and cost according to the operation of preventive dentistry in university dental hospital)

  • 홍효경;최성우
    • 한국치위생학회지
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    • 제20권5호
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    • pp.707-716
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    • 2020
  • Objectives: This study aims to provide basic data for high-quality dental services. In addition, we will promote the operation of preventive dentistry that implements preventive measures. It was conducted to study the change of patient's treatment behavior and treatment cost due to the discontinuation of preventive dentistry in university dental hospitals. Methods: This study collected data using the integrated medical information system of the C University Dental Hospital. From September 1, 2017 to August 31, 2019, data were analyzed using frequency, percentage, mean, standard deviation, chi-square test using SPSS version 24.0 statistical program, and T-test. Results: There was a significant difference in the number of preventive dental treatment cases from 58.3% of preventive dental operation periods to 41.7% of preventive dental operation periods. As a result of comparing the medical expenses, the total medical expenses during the preventive dental operation period decreased from 521,308,872 won to 379,724,995 won during the discontinuation period, 141,583,877 won. The number of medical treatments by treatment behavior decreased 3,835 (28.4%) from a total of 13,520 preventive dental operation periods to 9,685. Conclusions: This study is meaningful as the first study to confirm the change in the treatment behavior and the change in the cost of treatment due to the discontinuation of the operation of preventive dentistry at university dental hospitals. In conclusion, it is thought that there is a possibility of the lack of accessibility and the limitation of professional preventive care due to the discontinuation of preventive dentistry.

환자표본자료를 이용한 간세포암종 환자의 의료이용 특성 및 치료별 의료비용 분석 (Analysis of Medical Use and Treatment Costs of Hepatocellular Carcinoma Patients Using National Patient Sample Data)

  • 오병찬;조정연;권순홍;이의경;김혜린
    • 한국임상약학회지
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    • 제31권2호
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    • pp.153-159
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    • 2021
  • Background: With increasing economic evaluation studies on the treatment of or screening tools for liver diseases that cause hepatocellular carcinoma (HCC), interest in the analysis of the medical utilization and costs of HCC treatment is increasing. Therefore, we aimed to estimate the medical utilization and costs of HCC patients, and calculate the cost of main procedures for HCC treatment, including liver transplant (LT), hepatic resection (HR), radiofrequency ablation (RFA), and transarterial chemoembolization (TACE). Methods: We analyzed claim data from January to December 2018 from the Health Insurance and Review and Assessment Service-National Patient Sample (HIRA-NPS-2018) dataset, including data of patients diagnosed with HCC (Korean Standard Classification of Diseases code C22.0) who had at least one inpatient claim for HCC. Results: A total of 715 HCC patients were identified. In 2018, the yearly average medical cost per HCC patient was ₩18,460K (thousand), of which ₩14,870K was attributed to HCC. Among the total medical costs of HCC patients, the inpatient cost accounted for the largest portion of both the total medical and HCC-related costs. The major procedures of HCC treatment occurred most frequently in the order of TACE, RFA, HR, and LT. The average medical cost per treatment episode was the highest for LT (₩87,280K), followed by HR (₩10,026K), TACE (₩4,047K), and RFA (₩2,927K). Conclusion: By identifying the medical costs of HCC patients and the costs of the main procedures of HCC treatment, our results provide basic information that could be utilized for cost estimation in liver disease-related economic evaluation studies.

텍스트 마이닝 기반의 음악치료 관리 모델에 관한 연구 (A Study on the Music Therapy Management Model Based on Text Mining)

  • 박성현;김재웅;김동현;조한진
    • 한국융합학회논문지
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    • 제10권8호
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    • pp.15-20
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    • 2019
  • 음악치료는 장애아동 및 정신치료에 많은 효과를 보이고 있다. 오늘날의 음악치료 시스템은 구체적인 치료 시스템이 구축되어 있지 않은 상황으로, 음악 치료사들이 정확한 치료를 하기 위해 다양한 음악치료 사례들과 치료 이력 데이터들을 분석하고, 해당 환자 또는 내담자에게 가장 적합한 치료를 시행해야 하지만, 현실은 여러 가지 요인들로 인해 많은 어려움이 따르고 있다. 이를 해결하고자 본 논문에서는 기존 치료 데이터와 텍스트 마이닝 기술을 융합한 음악치료 지식관리 모델을 제안한다. 제안 모델을 활용하면 유사한 사례검색 및 환자에 관련된 구체적이고 확실한 데이터들을 기반으로 환자 또는 내담자로 하여금 정확하고 효과적인 치료가 가능하다. 이를 통해서 음악치료의 본래 목적과 그 효과를 최대로 이끌어 내는 효과를 기대할 수 있고 나아가 많은 환자들의 치료에 도움이 될 것으로 기대된다.

공공하수처리시설에서 에너지 사용현황 및 절감방안 연구 (A Study on Energy Usage Monitoring and Saving Method in the Sewage Treatment Plant)

  • 김종락;이가희;유광태;김동윤;이호식
    • 한국물환경학회지
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    • 제36권6호
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    • pp.535-545
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    • 2020
  • This study aims to conserve and monitor energy use in public sewage treatment plants by utilizing data from the SCADA system and by controlling the aeration rate required for maintaining effluent water quality. Power consumption in the sewage treatment process was predicted using the equipment's uptime, efficiency, and inherent power consumption. The predicted energy consumption was calibrated by measured data. Additionally, energy efficiency indicators were proposed based on statistical data for energy use, capacity, and effluent quality. In one case study, a sewage treatment plant operated via the SBR process used ~30% of energy consumed in maintaining the bioreactors and treated water tanks (included decanting pump and cleaning systems). Energy consumption analysis with the K-ECO Tool-kit was conducted for unit processing. The results showed that about 58.7% of total energy consumed was used in the preliminary and biological treatment rotating equipment such as the blower and pump. In addition, the energy consumption rate was higher to the order of 19.2% in the phosphorus removal process, 16.0% during sludge treatment, and 6.1% during disinfection and discharge. In terms of equipment energy usage, feeding and decanting pumps accounted for 40% of total energy consumed following 27% for blowers. By controlling the aeration rate based on the proposed feedback control system, the DO concentration was reduced by 56% compared pre-controls and the aeration amount decreased by 28%. The overall power consumption of the plant was reduced by 6% via aeration control.

Is Stent-Assisted Coil Embolization for the Treatment of Ruptured Blood Blister-Like Aneurysms of the Supraclinoid Internal Carotid Artery Effective? : An Analysis of Single Institutional Experience with Pooled Data

  • Roh, Haewon;Kim, Junwon;Suh, Sang-il;Kwon, Taek-Hyun;Yoon, Wonki
    • Journal of Korean Neurosurgical Society
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    • 제64권2호
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    • pp.217-228
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    • 2021
  • Objective : Given the high risk of rebleeding and recurrence of blood blister-like aneurysms (BBAs), we treated ruptured BBAs of the internal carotid artery (ICA) with stent-assisted coil embolization (SAC). This study aimed to evaluate the efficacy and safety of SACs. Methods : We retrospectively reviewed clinical and radiological data from eight patients with ruptured BBAs of the supraclinoid ICA. The modified Rankin Scale (mRS) was used to assess clinical outcomes, while radiological outcomes were evaluated on angiographs. For a pooled analysis, data from literature reporting the outcomes of ruptured BBAs treated with SAC were collected and analyzed in conjunction with our data. Results : In our cohort, the mean Raymond classification score was 1.57±0.53 immediately after initial endovascular treatment. There were no perioperative complications or rebleeding events during the follow-up period. The mean mRS score at patient discharge was 1.00±0.81 and improved to 0.28±0.48 by the last follow-up day. The recurrence rate was 25% with an asymptomatic presentation and successful treatment with multiple stent insertion. Pooled analysis of 76 cases of SAC revealed a complete occlusion rate immediately after treatment of 54.8%, rebleeding rate 7.94%, and recurrence rate 24.2%. Good clinical outcomes with mRS score 0-2 were observed in 89.9% by the last clinical follow-up. Total mortality rate was 7.7%. Conclusion : This treatment appears to not only minimize the hemodynamic burden on the fragile dome specific to this type of aneurysm, but also provides an opportunity for safe and effective treatment in recurrent cases.

진료비 고가도 지표의 한계와 개선 방향 (Limitations and Improvement of Using a Costliness Index)

  • 장호연;강민석;정서현;이상아;강길원
    • 보건행정학회지
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    • 제32권2호
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    • pp.154-163
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    • 2022
  • Background: The costliness index (CI) is an index that is used in various ways to improve the quality of medical care and the management of appropriate treatment in medical institutions. However, the current calculation method for CI has a limitation in reflecting the actual medical cost of the patient unit because the outpatient and inpatient costs are evaluated separately. It is desirable to calculate the CI by integrating the medical cost into the episode unit. Methods: We developed an episode-based CI method using the episode classification system of the Centers for Medicare and Medicaid Services to the National Inpatient Sample data in Korea, which can integrate the admission and ambulatory care cost to episode unit. Additionally, we compared our new method with the previous method. Results: In some episodes, the correlation between previous and episode-based CI was low, and the proportion of outpatient treatment costs in total cost and readmission rates are high. As a result of regression analysis, it is possible that the level of total medical costs of the patient unit in low volume medical institute and rural area has been underestimated. Conclusion: High proportion of outpatient treatment cost in total medical cost means that some medical institutions may have provided medical services in the ambulatory care that are ancillary to inpatient treatment. In addition, a high readmission rate indicates insufficient treatment service for inpatients, which means that previous CI may not accurately reflect actual patient-based treatment costs. Therefore, an integrated patient-unit classification system which can be used as a more effective CI indicator is needed.

빅데이터를 활용한 월경통에 대한 국내 한방 치료 인식 조사 (Study on Domestic Awareness of Korean Medicine Treatment for Dysmenorrhea using Big Data)

  • 전하영;황덕상;이진무;이창훈;장준복
    • 대한한방부인과학회지
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    • 제37권3호
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    • pp.20-32
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    • 2024
  • Objectives: The purpose of this study is to investigate the domestic awareness of Korean medicine treatment for dysmenorrhea. Methods: We conducted word frequency analysis, 2-gram analysis, degree centrality analysis, and CONCOR analysis using big data searched for '월경통', '생리통', and '한방' as main key words. The searching period was set from 2019 to 2023. Results: The number of original text data searched through main key words was on the rise. Specific words related to Korean medicine treatment were in the top 100, words related to herbal medicine ranked particularly high. The top 100 words were divided into 4 clusters (A; Body parts or body substances related to dysmenorrhea, B; Symptoms that accompany dysmenorrhea, C; Physiological or pathological situations related to dysmenorrhea, and D; Treatment related words of dysmenorrhea) and some clusters showed close relationships between each others (B-C, B-D, and C-D). Conclusions: Our results suggest that interest in Korean medicine treatment for dysmenorrhea is increasing. Also, as public understanding is estimated to be high, specific information such as method, process and mechanism of Korean medicine treatment seems to be needed.

알레르기 비염에서 성향 점수 매칭을 이용한 의과·한의과 간 성과 분석: 건강보험심사평가원 청구 자료 이용 (Outcomes Analysis for Western Medicine and Korean Medicine Using the Propensity Score Matching in Allergic Rhinitis: Data from the Health Insurance Review and Assessment Service)

  • 강채영;김희준;김정훈;황진섭;이동효
    • 한방안이비인후피부과학회지
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    • 제34권2호
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    • pp.53-69
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    • 2021
  • Objectives : The purpose of this study is to analyze the effects of treatment between Western medicine and Korean medicine on Allergic rhinitis patients using national population-based claim data from the Health Insurance Review and Assessment Service. Methods : The subjects of the study were 30,024 patients in the Korean medicine group and 30,024 in the Western medicine group who were diagnosed with Allergic rhinitis from September 1, 2018 to December 31, 2018. Propensity score analysis was used for matching age, sex, etc. at a ratio of 1:1. Cox regression and subgroup analysis were used to estimate the adjusted hazard ratio of recurrence, Asthma, and Atopic dermatitis in Korean medicine group and Western medicine group. In addition, the total treatment period, total treatment cost, and average cost per day of visit were compared and analyzed. Results : Compared to Korean medicine, Western medicine had a significantly higher risk of recurrence at 1.701 times, Asthma occurrence risk at 1.609 times and Atopic dermatitis occurrence risk at 1.098 times. Compared to Western medicine, the total treatment period of Korean medicine was 14.27 days longer, the total treatment cost was 53,591 won more, and the average cost per day was 7,539 won more. Conclusions : This study is a retrospective cohort study using the propensity score matching in Korea to compare the outcomes of Allergic rhinitis between Western medicine and Korean medicine. Further research is needed by considering patients characteristics, and linking with additional data.

홍천 물걸리 삼층석탑의 3차원 디지털 기록과 활용 (Three-dimensions digital documentation and use of Three storied stone pagoda in Mulgeol-ri, Hongcheon)

  • 전병규;한병일
    • 보존과학연구
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    • 통권35호
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    • pp.99-110
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    • 2014
  • 문화유산의 3차원 디지털 기록은 3차원 자료를 통한 도면화가 주를 이루고 있어 다양한 시도와 연구가 필요하다. 홍천 물걸리 삼층석탑은 해체보수공사를 진행하였는데 해체 전, 부재 개별, 보존처리 후를 3차원 디지털 기록하여 활용성을 검토하였다. 석탑의 3차원 데이터는 부재의 위치정보를 가지는 데이터와 부재 개별 단위의 데이터를 조합하여 해체 전, 보존처리 후를 비교하였다. 비교 결과, 석탑 보존처리 후 지대석의 이격은 좁아 졌으며, 각각의 층별은 정사각형을 이루고 있는 것으로 나타났다. 이 결과는 석탑의 변이, 훼손 등을 모니터링 하는데 중요한 자료로 활용될 것이다.

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AI 기반의 Varying Coefficient Regression 모델을 이용한 산질화층 예측 (Predicting Oxynitrification layer using AI-based Varying Coefficient Regression model)

  • 박혜정;심주용;안경준;황창하;한재현
    • 열처리공학회지
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    • 제36권6호
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    • pp.374-381
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    • 2023
  • This study develops and evaluates a deep learning model for predicting oxide and nitride layers based on plasma process data. We introduce a novel deep learning-based Varying Coefficient Regressor (VCR) by adapting the VCR, which previously relied on an existing unique function. This model is employed to forecast the oxide and nitride layers within the plasma. Through comparative experiments, the proposed VCR-based model exhibits superior performance compared to Long Short-Term Memory, Random Forest, and other methods, showcasing its excellence in predicting time series data. This study indicates the potential for advancing prediction models through deep learning in the domain of plasma processing and highlights its application prospects in industrial settings.