• Title/Summary/Keyword: 의료비용

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A Priority and Impact Factor Analysis of Construction Management Tasks for Decreasing Change Orders and Defect Repairs in Cancer Treatment Center Projects (암센터 의료시설의 설계변경과 하자보수의 감소를 위한 중점 관리공사 분석)

  • Lee, Chijoo;Lee, Ghang;Sim, Jaekyang
    • Korean Journal of Construction Engineering and Management
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    • v.14 no.5
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    • pp.55-64
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    • 2013
  • The complexity of constructing medical institutions is higher than that of general buildings, and many change orders in the design and defect repairs in the construction phase are required due to strict government regulations. The priority control of constructions and impact factors of medical institutions were analyzed in this study, and difficulties in the control in the design and construction phase were identified. First, the priority management factors that were identified were as follows: architecture, facilities, and electricity. Second, 1) priority management in constructions and factors resulting in change orders and 2) priority management in constructions involving defect repair were analyzed. Third, the importance recognized by the construction managers were analyzed. The priority management in constructions and factors that were recognized by the construction manager were deducted as having low importance, although there were many change orders and defects. The work of finishing, wall building, joining, office automation and communication function, and lighting were analyzed in the design phase, and waste, the office automation and communication function, ceilings, contamination control, and plumbing were analyzed in the construction phase. The results showed that there will be a decrease in change orders and defects if the concentration of the manager was elevated and priorities were managed.

Leision Detection in Chest X-ray Images based on Coreset of Patch Feature (패치 특징 코어세트 기반의 흉부 X-Ray 영상에서의 병변 유무 감지)

  • Kim, Hyun-bin;Chun, Jun-Chul
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.35-45
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    • 2022
  • Even in recent years, treatment of first-aid patients is still often delayed due to a shortage of medical resources in marginalized areas. Research on automating the analysis of medical data to solve the problems of inaccessibility for medical services and shortage of medical personnel is ongoing. Computer vision-based medical inspection automation requires a lot of cost in data collection and labeling for training purposes. These problems stand out in the works of classifying lesion that are rare, or pathological features and pathogenesis that are difficult to clearly define visually. Anomaly detection is attracting as a method that can significantly reduce the cost of data collection by adopting an unsupervised learning strategy. In this paper, we propose methods for detecting abnormal images on chest X-RAY images as follows based on existing anomaly detection techniques. (1) Normalize the brightness range of medical images resampled as optimal resolution. (2) Some feature vectors with high representative power are selected in set of patch features extracted as intermediate-level from lesion-free images. (3) Measure the difference from the feature vectors of lesion-free data selected based on the nearest neighbor search algorithm. The proposed system can simultaneously perform anomaly classification and localization for each image. In this paper, the anomaly detection performance of the proposed system for chest X-RAY images of PA projection is measured and presented by detailed conditions. We demonstrate effect of anomaly detection for medical images by showing 0.705 classification AUROC for random subset extracted from the PadChest dataset. The proposed system can be usefully used to improve the clinical diagnosis workflow of medical institutions, and can effectively support early diagnosis in medically poor area.

Review of 2021 Major Medical Decisions (2021년 주요 의료판결 분석)

  • Park, Taeshin;Yoo, Hyunjung;Lee, Jeongmin;Cho, Woosun;Jeong, Heyseung
    • The Korean Society of Law and Medicine
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    • v.23 no.2
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    • pp.171-209
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    • 2022
  • There were also many medical-related rulings in 2021, among which the rulings reviewed in this paper are as follows. The first relates to a case in which the medical record, which is the primary judgment data regarding the presence or absence of medical negligence, has been modified. The court judged whether there was negligence on the basis of the first written medical record without considering the contents of the medical record that was later modified. Next, the ruling on the case of asking for liability for damages for prescription of anti-obesity drugs recognized negligence related to prescription, but denied liability for property damage by denying a causal relationship, and recognized only alimony for violation of the duty of explanation. The a full-bench ruling on the scope of subrogation of the National Health Insurance Corporation, which subrogates the claims for compensation for medical expenses against the perpetrator of the patient, changed the existing precedent that had taken the 'deduction method after offsetting negligence' and judged it as 'the method of offsetting negligence after deduction'. In addition, in the ruling on whether or not there was negligence, the court was not bound by the medical record appraisal result. Lastly, in relation to the National Health Insurance Service's disposition of reimbursement for medical care benefit costs, we reviewed the ruling that discretion should be exercised even when a non-medical person makes a refund to a medical institution opened by a non-medical person. And we also reviewed the ruling that the scope of reimbursement for medical institutions jointly using facilities and manpower specifically should be determined.

Influences of Cash Flows from Operating Activities on Debt Repayment Capability in General Hospitals and Hospitals (병원 영업활동으로 인한 현금흐름이 부채상환능력에 미치는 영향)

  • Ha, Au-Hyun
    • The Journal of the Korea Contents Association
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    • v.17 no.6
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    • pp.98-105
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    • 2017
  • The medical institution considers liability management problems as a direct factor in managerial risks, such as bankruptcy. Cash Flow provides useful information to necessary funds and predicting bankruptcy. The study for 24 general hospitals and 23 hospitals, a regression analysis was performed to determine the impact of cash flows on the debt repayment capability, a multivariate discrimination analysis was conducted to find out how to manage cash flow for the risk posed by debt. The analysis results, For general hospitals, the level of debt repayment capability was done to net income, increase of payables from operating activities and decrease of patient receivables and inventories from operating activities. If there is no dept repayment capability, it is necessary to increase the net income, increase the expenses not involving cash outflows, decrease of patient receivables and increase of payables from operating activities. For hospitals, the level of debt repayment capability was done to net income, increase of expenses not involving cash outflows and payables from operating activities, decrease of income not involving cash inflows, decrease of patient receivables and inventories from operating activities. If there is no dept repayment capability, it is necessary to increase of payables from operating activities.

Design of Health Warning Model on the Basis of CRM by use of Health Big Data (의료 빅데이터를 활용한 CRM 기반 건강예보모형 설계)

  • Lee, Sangwon;Shin, Seong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1460-1465
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    • 2016
  • Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.

Regional Hub Public Hospital Medical Service Quality and Customer Loyalty Relationship (지역거점 공공병원의 의료서비스 질과 고객충성도와의 관계)

  • Lee, Jin-Woo
    • The Journal of the Korea Contents Association
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    • v.16 no.12
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    • pp.761-771
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    • 2016
  • This study is significant for its proposed health care quality improvement methods to study the relationship between the medical service quality and customer loyalty in the regional hub public hospital. The subjects were selected 604 people who visited the regional hub public hospital to customers from June 9 to June 30, 2014 as the final survey. The analysis was conducted hierarchical regression analysis to identify factors affecting the reliability factor analysis and customer loyalty. In conclusion showed that accessibility factors affecting customer loyalty, awareness hospital, the perceived value of cost-effectiveness, human services on a significant impact. The regional hub public hospitals by focusing efforts I have a continuity of customer care through constant management in order to provide quality health care, increase the frequency of use and loyalty are needed.

Cost-Effective Neuro-Modulation Device for Medical Imaging (의료영상 촬영을 위한 비용-효율적인 신경조절 장비)

  • Seoung-Min Hwang;YeongBeen Choi;Gyunhen Lee;Young-Jin Jung
    • Journal of the Korean Society of Radiology
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    • v.17 no.7
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    • pp.1165-1170
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    • 2023
  • In this study, we aimed to develop a cost-effective neuro-modulation device for use in neuroscientific and clinical medical imaging applications. To achieve this, we designed and fabricated a brain neuro-modulation device with a material cost of less than $500, and subsequently evaluated its performance. The measured performance was found to be comparable to existing medical devices (TENS), with the developed device being compact in size, measuring less than 3 cm by 3 cm. The outcomes of this study are expected to be applicable in accelerating research and development in related fields, as well as in the rapid commercialization of neuro-modulation technology. Furthermore, it is anticipated that this work will contribute to advancements in functional radiological medical imaging technology and enhance accessibility to brain science and brain stimulation technology.

Analysis of the Health Insurance Costs of Occupational Therapy in Stroke patients (뇌졸중 환자의 작업치료 보험수가 분석)

  • Kim, Hyun-Jin;Kim, Se-Yun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.3
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    • pp.1920-1927
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    • 2015
  • This study examined health insurance costs of occupational therapy in stroke patients. The subjects were stroke patients, who underwent occupational therapy by hospitalization or out-patient centers in 2010. The cost of occupational therapy was analyzed from the insurance claims data of Health Insurance Review and Assessment Service in 2010. The kinds of occupational therapy were divided according to the insurance fee of occupational therapy in 2010. In-patients who received occupational therapy paid the highest rehabilitation treatment fee, whereas outpatients paid the highest nervous system function test fee. The cost of occupational therapy in the special rehabilitation treatment fee was highest by 25.3 billion won. The number of uses of general hospitals was the highest by 180 thousand but the total cost of long-term care hospital was highest by 10.4 billion won. The number of uses and cost by regional groups was highest in Seoul and Gyeonggi-do province. This study is meaningful in that a cost analysis of occupational therapy in stroke patients was performed for the first time using the stroke data from the whole country. The result can be used to provide basic data to improve the insurance fee in the future.

Conceptual Design Methodology of an e-Health System (e-Health 시스템의 개념적 설계 방법론에 관한 연구)

  • Chun, Je-Ran
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.10
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    • pp.2900-2906
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    • 2009
  • e-Health system is the use of information and communication technologies to provide health care information and services to stakeholders. It pursues an improvement of service quality of health care, increases of accessability of information, reduction of medical cos and enforcement of competitiveness in health care industry. There are lots of difficulties in implication of internet technology to health care process. This is because that the characteristics of health care industry is very closed and specific and also the internet technology has the very user-oriented characters. So it is necessary to have the system independent conceptual design method to combine these two characteristics. In this paper a new modified conceptual design methodology will be proposed for the successful implementation of e-health system in korean health care industry. The proposed methodology will be verified its validity and feasibility through AHP method. And the results of this research will be implied as the basis for the development and revitalization of e-Health system in Korea.

An Efficient Hospital Service Model of Hierarchical Property information classified Bioinformatics information of Patient (환자의 바이오인포매스틱 정보를 속성수에 따라 계층적으로 분류한 효율적인 의료서비스 모델)

  • Seo, In-Kyu;Lee, Sang Ho
    • Journal of Convergence Society for SMB
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    • v.5 no.4
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    • pp.17-23
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    • 2015
  • Due to the development of information and communication technology as health care service is popular variety utilizing bioinformatics patient information services are being provided to the patient. In particular, the healthcare utilizing bioinformatics information, and change in a variety of healthcare trends. However, healthcare services using bioinformatics information of the patient and the complexity of the disease, new diseases (SARS, AIDS, etc .) due to the emergence of increasing health care costs and health promotion services provided to patients may not be smooth. In this paper, we propose a model for low-cost health services and medical care of patients bioinformatics fast access to information. The proposed model can be so big a bioinformatics data formation by the patient's patient information anytime / anywhere providing medical services in the home or the nearest hospital for their own disease management. In particular, the proposed model of health care services is characterized improve work efficiency, reducing the burden on hospitals by passing a medical illness to easily analyze patient information.

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