• 보건행정학회지
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• 제14권2호
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• pp.58-77
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• 2004

Cost containment has become high political issues since financial crisis of the Korean Health Insurance fund in 2000. Korean Government has developed and implemented several measures to reduce the pharmaceutical expenditures. Pharmaceutical economic evaluation can be a tool in decision to allocate scare resource efficiently. In order to increase the quality of economic evaluation for pharmaceuticals, the Korean Health Insurance Review Agency(HIRA) is considering the development of a guideline for economic evaluation. It mandates that pharmaceutical companies could submit the result of an economic evaluation when demanding reimbursement of new pharmaceutical drugs. The purpose of this study is to provide a critical review of the economic evaluations of health care technologies published in the Korean context whether they have been performed according to current guidelines and therefore whether their results are directly useful for decision making. We found there exist important problems and deviation from, good practice' both in the general features of the studies, like the study design and perspective, and in terms of cost measurement and valuation. There are needs to develop clear guidelines and to educate and train researchers in performing economic evaluations.

• International journal of advanced smart convergence
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• 제10권2호
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• pp.21-30
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• 2021

With the rapid development of artificial intelligence and big data, a lot of medical data is effectively used, and the diagnosis and analysis of diseases has entered the era of intelligence. With the increasing public health awareness, ordinary citizens have also put forward new demands for panic disorder health services. Specifically, people hope to predict the risk of panic disorder as soon as possible and grasp their own condition without leaving home. Against this backdrop, the smart health industry comes into being. In the Internet age, a lot of panic disorder health data has been accumulated, such as diagnostic records, medical record information and electronic files. At the same time, various health monitoring devices emerge one after another, enabling the collection and storage of personal daily health information at any time. How to use the above data to provide people with convenient panic disorder self-assessment services and reduce the incidence of panic disorder in China has become an urgent problem to be solved. In order to solve this problem, this research applies the context awareness to the automatic diagnosis of human diseases. While helping patients find diseases early and get treatment timely, it can effectively assist doctors in making correct diagnosis of diseases and reduce the probability of misdiagnosis and missed diagnosis.

• 의학교육논단
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• 제16권1호
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• pp.16-24
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• 2014

The development of information technology (IT) has led to changes in medical education. IT has been used for e-learning and e-teaching, e-assessment, e-logistics, and e-administration. Pusan National University School of Medicine has developed its own educational information system using IT to support students' learning and assessment and to manage curricular activities. Based on our experience, we propose six suggestions for designing new software, specifically regarding simplifying the design for users, communication with the programmer, a rapid cycle from design to implementation, orientation support for users, backup and security support, and obtaining patents. Collaborating with the Department of Medical Informatics within the School of Medicine has advantages, and an alliance among medical schools can simplify the development of software. In any case, curricular innovation should precede the introduction of technology because all technologies should support curricular goals.

• 한국방사선학회논문지
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• 제11권7호
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• pp.555-564
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• 2017

직업상 피폭에 대한 현행 방사선 위험성 평가는 종사자의 피폭선량 평가 및 건강진단에 중점을 두고 있다. 이러한 개인 중심의 위험성 평가는 선량계 미착용 및 개개인의 기호로 인한 건강영향 문제 등 정확한 데이터 확보의 어려움으로 인한 오류의 가능성이 있다. 또한 평가의 기준이 되는 선량한도는 법적 최대 상한값으로 방사선 방호에 최적화된 값을 의미하지는 않는다. 이에 선원적, 환경적 및 인적 측면을 복합적으로 고려할 수 있고 방사선방호의 최적화를 이행할 수 있는 국가적 차원의 새로운 위험성 평가 모델이 요구되고 있다. 본 연구에서는 고용노동부의 위험성 평가에 기반하여 개인이 아닌 작업장 중심의 위험성 평가 모델을 연구하였다. 이를 위해 여러 분야의 위험성 추정 방법을 분석하여 방사선 분야에 적용하기 적합한 모델을 도출하고, 모델에 적용하기 위한 데이터 획득 방법 및 절차에 대해 기술하였다. 본 연구에서 도출한 작업장 중심의 다차원적 위험성 평가 모델은 위험성을 점수화하고 Rader Plot을 이용하여 표현함으로서 보다 정확한 방사선 위험성 평가를 가능하게 하며, 결론적으로 효율적인 종사자 관리, 선제적 종사자 보호 및 방사선 방호의 최적화 이행에 기여할 것으로 판단된다.

• 분석과학
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• 제27권5호
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• pp.261-268
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• 2014

선진국에서 유해물질을 함유하는 소비자 제품의 위해성 관리를 위해 CONSEXPO등의 다양한 소비자 노출평가 모델을 개발하여 소비자 제품에 함유된 유해화학물질의 노출로 인한 위해도를 평가하고 이를 규제 기준의 설정근거로 활용하고 있다. 이에 본 연구에서는 다양한 시나리오에 적용할 수 있는 노출평가 모델을 검토하고 대상 제품을 선정하여 적정 모델을 적용하여 위해성 평가 단계에 따라 위해성 평가를 하여 제품 별 위해성 평가 기법을 마련하고자 하였다. 작성된 노출 시나리오를 바탕으로 노출 계수를 선정한 뒤 CONSEXPO 노출평가 모델을 기반으로 하여 알고리즘을 작성 한 결과 프탈레이트류의 경우 일부 장판에서 전이량이 검출되었으나 함량과 전이량의 상관관계를 살펴본 결과 r-square 0.0065으로 상관관계가 거의 없는 것으로 나타나, 이 결과를 기준으로 함량 기준값을 산출하는 것은 무리가 있다고 사료되며 현행제품기준을 유지하는 것이 무방할 것으로 판단된다. 휘발성유기화합물 또한 인체에 유해하지 않은 것으로 나타났으므로 현행 기준을 준수 할 경우 큰 무리가 없을 것으로 것을 판단, 새로운 기준을 제시 하지 않았다. 중금속의 경우 전이량이 검출되지 않았으므로 위해성 평가는 수행하지 않았다. 따라서 경피노출로 인한 인체의 유해가능성은 매우 적을 것으로 판단할 수 있다.

• Journal of Dairy Science and Biotechnology
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• 제32권1호
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• pp.55-62
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• 2014

본 연구는 국내 기능성 축산식품 관리제도 도입과 관련하여, 이를 반영하기 위한 기능성 물질(성분)의 과학적 분석기술 및 기능성 축산물별 검사방법 등 세부관리기준과 인증 방안을 마련하여 시행규칙을 제안하고자 한다. 기능성 축산식품을 관리하기 위한 새로운 법률 개정에 발맞추어 기능성 물질(성분)의 효용성(efficacy)과 안전성(safety)을 확인(검증)할 수 있는 분석 평가기술의 재정립을 통하여, 기능성 식품의 분석 평가 현황을 파악하고, 축산식품을 위한 기능성 물질의 범위를 정하여 이에 부합하는 표준검사법을 확립하고, 표준화를 제안한다. 본 연구를 통해 그 동안 우리나라에서 건강지향식품들의 지속적 노력에도 불구하고, 질적인 발전을 이루지 못한 과거의 문제점을 해결하여, 합리적인 관리체계 안에서 안전하고 우수한 품질을 갖는 기능성 축산식품을 제조 판매하는데 이바지 하며, 소비자의 건강증진은 물론 잘못된 건강기능식품의 섭취로 인한 피해를 방지하고자 한다.

• Smart Structures and Systems
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• 제24권5호
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• pp.567-585
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• 2019

In the past two decades, structural health monitoring (SHM) systems have been widely installed on various civil infrastructures for the tracking of the state of their structural health and the detection of structural damage or abnormality, through long-term monitoring of environmental conditions as well as structural loadings and responses. In an SHM system, there are plenty of sensors to acquire a huge number of monitoring data, which can factually reflect the in-service condition of the target structure. In order to bridge the gap between SHM and structural maintenance and management (SMM), it is necessary to employ advanced data processing methods to convert the original multi-source heterogeneous field monitoring data into different types of specific physical indicators in order to make effective decisions regarding inspection, maintenance and management. Conventional approaches to data analysis are confronted with challenges from environmental noise, the volume of measurement data, the complexity of computation, etc., and they severely constrain the pervasive application of SHM technology. In recent years, with the rapid progress of computing hardware and image acquisition equipment, the deep learning-based data processing approach offers a new channel for excavating the massive data from an SHM system, towards autonomous, accurate and robust processing of the monitoring data. Many researchers from the SHM community have made efforts to explore the applications of deep learning-based approaches for structural damage detection and structural condition assessment. This paper gives a review on the deep learning-based SHM of civil infrastructures with the main content, including a brief summary of the history of the development of deep learning, the applications of deep learning-based data processing approaches in the SHM of many kinds of civil infrastructures, and the key challenges and future trends of the strategy of deep learning-based SHM.

• Toxicological Research
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• 제17권
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• pp.167-171
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• 2001

The introduction of genetically modified crops has raised concerns regarding safety issues over the insertion of foreign genes into plant genomes using recombinant DNA technology. Since 1991 in Japan, 29 foods and 6 food additives have been evaluated, based on the "Guideline for Safety Assessment", before these foods were marketed. The MHW, however, decided that safety assessment of such foods and food additives should be legally imposed. because soon such foods and food additives are expected to circulate globally and a new system for assessing safety of such foods and food additives at a pre-market stage is necessary, in order to avoid the distribution of any genetically modified foods that have had no safety assessment. The MHW published relevant announcements to amend existing regulations on 1 May 2000. "Standards for safety assessment of seed plant" is established based on a concept of substantial equivalence, and applicable to the products which are regarded as equivalent to the existing products used as foods and food additives. The characterization of the food products entails consideration of the molecular characterization. phenotypic and compositional characteristics, key nutrients and toxicants, and toxicity and allergenicity of the introduced proteins, and if there are indications of unintended effects of the modification, whether further safety testing (animal studies etc.) is needed should be considered. Safety and wholesomeness studies with whole foods should be care fully designed in order to avoid nutritional imbalances causing artifacts and uninterpretable results as was the case of Dr. Pusztaiis report. A case study of genetically modified soybeans (glyphosate-tolerant soybeans) on the immune system of rats and mice is shown. Chemical compositions were also compared with those of the non-GM soybeans. The studies failed to detect any differences in immuno-toxic activity.muno-toxic activity.

• Smart Structures and Systems
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• 제26권6호
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• pp.735-751
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• 2020

Identification of structure parameters is crucial in Structural Health Monitoring (SHM) context for activities such as model validation, damage assessment and signal processing of structure response. In this paper, guided waves generated by piezoelectric transducers are used for in-situ and non-destructive structural parameter estimation based on Bayesian approach. As Bayesian approach needs iterative process, which is computationally expensive, this paper proposes a method in which an analytical model is selected and developed in order to decrease computational time and complexity of modeling. An experimental set-up is implemented to estimate three target elastic and geometrical parameters: Young's modulus, Poisson ratio and thickness of aluminum and steel plates. Experimental and simulated data are combined in a Bayesian framework for parameter identification. A significant accuracy is achieved regarding estimation of target parameters with maximum error of 8, 11 and 17 percent respectively. Moreover, the limitation of analytical model concerning boundary reflections is addressed and managed experimentally. Pulse excitation is selected as it can excite the structure in a wide frequency range contrary to conventional tone burst excitation. The results show that the proposed non-destructive method can be used in service for estimation of material and geometrical properties of structure in industrial applications.

• 대한의료기공학회지
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• 제19권1호
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• pp.139-154
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• 2019

Objective : The purpose of this study is to report the results and evaluation of I phase of the Gigong Academy, hosted by the Korean Academy of Medical Gi-Gong. Methods : The assessment and results were used in questionnaires. Conclusions : 1. Total 109 persons participated from 1-1 to 1-5 with an average of 21.8 person attending each session, which was a rather unsatisfactory level. 2. In the age group of participants, those in their 40s were mostly about 70 percent, and those in their 30s were very small, forming a vulnerable hierarchy that lacks a middle class. 3. The main purpose of the Academy participants was Gigong training, but the purpose of treatment and rest increased over the round of session. 4. The quality of the Academy's lectures, systems, and venues is highly positive, which can be said to be successful, but there is a need for publicity to increase participants, and more encouragement for the lifestyle of personal training and health care.