• 의료ㆍ복지 건축 : 한국의료복지건축학회 논문집
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• 제27권4호
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• pp.29-39
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• 2021

Purpose: As the need for a hospital specializing in infectious diseases has increased, construction is being promoted. Hospitals specializing in infectious diseases receive some state subsidies, but in the case of private hospitals, hospital operation efficiency should be considered to prevent cost loss. Therefore, we aim to derive a building plan for a general ward in a hospital specializing in infectious diseases that can be used not only in normal times but also in times of crisis. Methods: In this study, relevant literature review and field interviews were conducted with medical staff working in facilities designated as infectious disease hospitals. Results: The general ward building plan of the hospital specializing in infectious diseases was classified into three categories and presented. 'Spatial composition' for nursing unit and ward zoning, 'Spatial plan' for ward space conversion in normal times and crises, 'Bedroom plan' for effective dimensions and area of the ward. Implications: It can be used as a guideline when designing an infection-facility ward. And it can be a basis for inducing improvements to prevent infection in the ward of existing medical facilities.

• 한국식생활문화학회지
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• 제38권4호
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• pp.185-190
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• 2023

This paper elucidates the novel direction of food research in the era of the 4^th Industrial Revolution characterized by personalized approaches. Since conventional approaches for identifying novel food materials for health benefits are expensive and time-consuming, there is a need to shift towards AI-based approaches which offer more efficient and cost-effective methods, thus accelerating progress in the field of food science. However, relevant research papers in this field present several challenges such as regional and ethnic differences and lack of standardized data. To tackle this problem, our study proposes to address the issues by acquiring and normalizing food and biological big data. In addition, the paper demonstrates the association between heath status and biological big data such as metabolome, epigenome, and microbiome for personalized healthcare. Through the integration of food-health-bio data with AI technologies, we propose solutions for personalized healthcare that are both effective and validated.

• 보건행정학회지
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• 제33권2호
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• pp.129-140
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• 2023

Background: This study aims to compare the burden of disease in Korea with other Organization for Economic Cooperation and Development (OECD) countries using the OECD health statistics from 1985 to 2020. Methods: We analyzed potential years of life lost (YLL) per 100,000 population using the Positive value for relative comparison (PARC) index, trend test, and average annual percentage change (AAPC) with logistic regression analysis. Results: The relative disease burden was good for many diseases, but the disease burden was severe for a few diseases in Korea. Diseases with a high relative burden of disease in Korea are as follows; intentional self-harm (YLL2020 575.6, AAPCYLL 2.6%; PARC2020 -1.000, AAPCPARC -15.8%), malignant neoplasms of the liver (YLL2020 136.6, AAPCYLL -3.9%; PARC2020 -1.000, AAPCPARC 0.0%), malignant neoplasms of the stomach (YLL2020 9.0, AAPCYLL 3.2%; PARC2020 -0.556, AAPCPARC -22.9%), Parkinson's disease (YLL2020 575.6, AAPCYLL 2.6%; PARC2020 -1.000, AAPCPARC -15.8%). Conclusion: Diseases with a high burden of disease are needed to be prioritized in the planning and execution of healthcare policies that can contribute to the efficient use of healthcare resources.

• 센서학회지
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• 제32권6호
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• pp.352-356
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• 2023

The integration of bioelectronic devices with the skin is a promising strategy for personalized healthcare monitoring and diagnostics. On-skin bioelectrodes hold great potential for the real-time tracking of physiological parameters. However, persistent challenges of stability and reliability have instigated exploration beyond conventional noble metals. This study focuses on the ionic passivation and oxidation dynamics of copper-based on-skin thin-film bioelectrodes. Through parylene chemical vapor deposition, we harness a controlled thin film of parylene insulation to counter the intrinsic susceptibility of copper to oxidation in the ionic environment. The results represent the relationship among the parylene insulation thickness, copper oxidation, and electrode impedance over temporal intervals. Comparative analyses indicate that the short-term stability of the copper electrode is comparable to that of the gold electrode. Therefore, we propose a cost-effective strategy for fabricating copper-based on-skin bioelectrodes by introducing enhanced ionic stability within a discernible operational timeframe. This study enriches our understanding of on-skin bioelectronics and affordable material choices for practical use in wearable healthcare devices.

• Journal of Korea Artificial Intelligence Association
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• 제1권1호
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• pp.11-16
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• 2023

Accurate hospital case modeling and prediction are crucial for efficient healthcare. In this study, we demonstrate the implementation of regression analysis methods in machine learning systems utilizing mathematical statics and machine learning techniques. The developed machine learning model includes Bayesian linear, artificial neural network, decision tree, decision forest, and linear regression analysis models. Through the application of these algorithms, corresponding regression models were constructed and analyzed. The results suggest the potential of leveraging machine learning systems for medical research. The experiment aimed to create an Azure Machine Learning Studio tool for the speedy evaluation of multiple regression models. The tool faciliates the comparision of 5 types of regression models in a unified experiment and presents assessment results with performance metrics. Evaluation of regression machine learning models highlighted the advantages of boosted decision tree regression, and decision forest regression in hospital case prediction. These findings could lay the groundwork for the deliberate development of new directions in medical data processing and decision making. Furthermore, potential avenues for future research may include exploring methods such as clustering, classification, and anomaly detection in healthcare systems.

• 한국전자통신학회논문지
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• 제15권1호
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• pp.185-190
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• 2020

급격한 노령화가 의료 시설의 부족과 이로 인한 국민 건강의 질적 하락을 가져올 가능성이 점차 높아지고 있으며 의료비 상승의 부담을 해소하기 위해 선진국에서는 서비스 단가를 낮추기 위한 의료 기관들의 원격의료가 확대되고 있는 추세이다. 유헬스케어는 인체에서 발생하는 물리적, 화학적 현상의 변화를 감지하여 처리 가능한 전기적 신호로 변환하고 측정된 신호 중에서 원하는 정보만을 선택하기 위한 분석과정, 시각화 과정을 통해 결과를 피드백하여 관련정보, 경고, 알람 등을 사용자에게 제공하는 과정을 통해 서비스되고 있다. 하지만 센서를 신체에 직접 부착하는 전통적인 생체계측 방법은 일상생활에 불편을 주고 거부감이 발생할 수 있다. 따라서 일상생활에 불편함을 주지 않고 지속적으로 생체 정보를 측정할 수 있는 방법이 필요하다. 본 논문에서는 일상생활에 불편을 주지 않고 지속적으로 생체정보를 모니터링 할 수 있는 IR-UWB 기반의 비접촉. 무구속적인 호흡측정 시스템을 제안한다.

• 전자공학회논문지
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• 제50권10호
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• pp.116-123
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• 2013

모바일 헬스케어 서비스에서 생체 정보의 신뢰성 있는 전송은 매우 중요하다. 본 논문에서는, 6LoWPAN의 멀티 홉 무선네트워크의 모바일 헬스 케어 모니터링 서비스에서 신뢰성 있는 생체 정보 전송 기술을 제안한다. 또한, IEEE 11073-20601 프로토콜을 확장하였으며 IPv6 네트워크를 사용한 6LoWPAN 기반의 6LoWPAN 멀티-홉 무선 센서네트워크에서 생체 정보를 안정적으로 전송하기 위하여 신뢰성 있는 경로 구축 방법을 제안한다. 6LoWPAN은 IPv6 패킷을 전송하기 위하여 MAC계층의 상위 계층에 적응 계층을 올려 센서 네트워크에 부합하는 점 등으로 인해 현재 가능성을 인정받고 있다. 본 논문에서는 6LoWPAN의 센서들이 소형이고 저가이며 배터리를 사용할 수 있음을 고려하고 모바일 헬스케어 응용환경에 적합한 네트워크 시스템인 만큼 신뢰성 있고 전력 소비 및 알고리즘 수행의 복잡도를 최소화하는 라우팅 절차 및 알고리즘을 제시한다. 본 논문에서 제안된 방법의 우수성을 증명하기 위하여 NS-3을 사용하여 AODV 프로토콜과 성능을 비교하였다.

• 대한약침학회지
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• 제19권4호
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• pp.293-302
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• 2016

The use of folk medicine has been widely embraced in many developed countries under the name of traditional, complementary and alternative medicine (TCAM) and is now becoming the mainstream in the UK and the rest of Europe, as well as in North America and Australia. Diversity, easy accessibility, broad continuity, relatively low cost, base levels of technological inputs, fewer side effects, and growing economic importance are some of the positive features of folk medicine. In this framework, a critical need exists to introduce the practice of folk medicine into public healthcare if the goal of reformed access to healthcare facilities is to be achieved. The amount of information available to public health practitioners about traditional medicine concepts and the utilization of that information are inadequate and pose many problems for the delivery of primary healthcare globally. Different societies have evolved various forms of indigenous perceptions that are captured under the broad concept of folk medicine, e.g., Persian, Chinese, Grecian, and African folk medicines, which explain the lack of universally accepted definitions of terms. Thus, the exchange of information on the diverse forms of folk medicine needs to be facilitated. Various concepts of Wind are found in books on traditional medicine, and many of those go beyond the boundaries established in old manuscripts and are not easily understood. This study intends to provide information, context, and guidance for the collection of all important information on the different concepts of Wind and for their simplification. This new vision for understanding earlier Chinese medicine will benefit public health specialists, traditional and complementary medicine practitioners, and those who are interested in historical medicine by providing a theoretical basis for the traditional medicines and the acupuncture that is used to eliminate Wind in order to treat various diseases.

• 한국산학기술학회논문지
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• 제15권6호
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• pp.3534-3547
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• 2014

행위별 지불보상제도는 의료적 관점의 장점에도 불구하고 건강보험 진료비가 급증하는 문제점이 지적되고 있어 이에 대한 합리적인 통제의 필요성이 강하게 제기되고 있다. 본 연구에서는 자료수집이 가능한 27개 상급종합병원을 대상으로 SGR 모형과 DEA모형을 결합해 진료비목표예산 수립과 배분제도를 제안하였다. SGR모형은 거시적 측면에서 누적진료비 목표예산과 당해연도 진료비 목표예산에 따라 차년도의 진료비목표를 제시하는데 사용하였고 DEA모형은 개별병원에 원가의식과 관리 효율성 목표를 제시함으로써 전체적인 예산관리를 가능하게 한다. 즉 예산제도를 성과평가도구의 하나인 DEA모형과 결합함으로써 효율성 그룹에 따른 개별병원 예산을 설계할 수 있었다. 이를 통해 거시적 수준에서 국민소득 수준을 고려한 SGR 모형에서 구해진 예산총액을 배분하고 관리할 수 있는 기전을 확보해 건강보험제도에서 실무적으로도 적용가능한 모형을 설계할 수 있었다.

• 한국병원경영학회지
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• 제13권3호
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• pp.69-93
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• 2008

Rising healthcare cost is a global phenomenon that justifies governments' introduction of 'incentive regulation' plan for the improvement of hospital efficiency. A number of previous studies tried to evaluate the efficiency of healthcare organization by using Data Envelopment Analysis(DEA), a common efficiency benchmarking method. However, there is a concern that this kind of efficiency evaluation could induce "quantity-quality trade-off". Moreover, as quality aspect is especially important in terms of 'effectiveness' of health care, it should be considered in efficiency evaluation of healthcare organization. A number of different models were tried so far to incorporate quality aspect into DEA, however, none is universally recognized as a standard. Thus, in this study, previous quality-incorporating DEA models were categorized into 6 types according to the way of incorporating quality aspect, and strengths and limitations of each type were reviewed with a set of artificial data as an example. Based on this review, a new quality-incorporating efficiency evaluation model, named Quality-adjusted output DEA(QAO-DEA), was suggested. As an exploratory empirical analysis, technical efficiency of human resource were measured with different quality-incorporating DEA models, using 2004 data from National University Hospitals. In conclusion, Quality-adjusted output DEA(QAO-DEA) model seems to be one of the most desirable alternatives to incorporate quality aspect in efficiency evaluation of hospital, and deserves the consideration as a policy tool to induce simultaneous improvement of both efficiency and quality.