• Health Policy and Management
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• v.28 no.1
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• pp.95-97
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• 2018

Catastrophic health expenditure refers to when a household spends more than 40 percent of disposable income for out-of-pocket-expenses for healthcare. This study investigates the percentage of South Korean household which experienced the catastrophic health expenditure between 2006 and 2016 with the National Survey of Tax and Benefit and the Household Income and Expenditure Survey data. Percentage of households with the catastrophic health expenditure and tread tests were conducted with weight variable. The results of the National Survey of Tax and Benefit and the Household Income and Expenditure Survey showed 2.17% and 2.92% of households experienced the catastrophic health expenditure in 2016. In trend analysis, the National Survey of Tax and Benefit showed a statistically significant decreasing trend in the proportion of households with the catastrophic health expenditure (annual percentage change [APC]=-4.03, p<0.0001). However, the Household Income and Expenditure Survey revealed a statistically significant increasing trend (APC=1.43, p<0.0001). In conclusion, this study suggests that optimal healthcare alternatives are needed for the catastrophic health expenditure and monitoring low-income households.

• Health Policy and Management
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• v.29 no.1
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• pp.86-89
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• 2019

Catastrophic health expenditure refers to spending more than a certain level of household's income on healthcare expenditure. The aim of this study was to investigate the proportion of households that experienced catastrophic health expenditure between 2006 and 2017 with the National Survey of Tax and Benefit (NaSTaB) and between 2011 to 2016 using Households Income and Expenditure Survey (HIES) data. The results of the NaSTaB showed 2.16% of households experienced the catastrophic health expenditure in 2017. In trend analysis, the NaSTaB revealed a statistically significant decreasing trend (annual percentage change [APC] = -2.01, p<0.001) in the proportion of households with the catastrophic health expenditure. On the other hand, the results of the HIES showed 2.92% of households experienced the catastrophic health expenditure in 2016. Also, there was a slightly increasing trend (APC= 1.43, p<0.001). In subgroup analysis, groups with lower income levels were likely to experience catastrophic health expenditure. In conclusion, further public support system is needed to lower experience these healthcare expenditures and monitor the low income group.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.59-67
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• 2023

The healthcare industry continues to adopt and integrate smart technology in its operations, from medical devices to managing operations. However, the adoption curve has not been smooth, and the historical record of technology adoption in the Kingdom of Saudi Arabia reveals the existence of both known and unknown issues. This review paper is aimed to explain the influences and barriers present in the Saudi healthcare sector affecting IoT technology adoption. A comprehensive discussion of the literature illustrated that Vision 2030, the privatisation trend, transformation in disease patterns and ageing, issues in management and increasing public awareness are the key drivers that may influence the need for the medical Internet of Things (mIoT) in Saudi healthcare. However, based on the past trend, the introduction and adoption of mIoT will likely experience issues such as noncompliance from doctors and nurses due to negative beliefs, lack of knowledge and inadequate perception of effort requirements. Thus, in-depth research of the factors associated with mIoT technology adoption is suggested for a smooth transition.

• Journal of The Korea Institute of Healthcare Architecture
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• v.12 no.2
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• pp.31-39
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• 2006

Much has changed in the healthcare field since the beginning of the industrial age. In the healthcare field changes are occurring so rapidly and dramatically that yesterday's paradigm will not be tomorrow's paradigm, creating the need above all else to stay fluid and flexible as strategies(included healthcare architecture planning) for the future are developed. The purpose of this study is to analyze the latest architectural trends of general hospital outpatient department based on the healthcare environment changes in Korea. The major healthcare environment change is to change the object of hospital's healthcare services from inpatient to outpatient. In conclusion, the first, medical faculties of outpatient department are subdivided specialized small faculty. The second, clinic systems for medical examination and treatment of specific disease are activated in the most outpatient department. The third, specialized medical centers for chronical disease(Cancer, Cardiac etc.) control are arranged in existed outpatient department or freestanding facility. Specialized medical center for preventive medicine is regionally decentralized for corresponding with the healthcare paradigm shifts.

• Korea Journal of Hospital Management
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• v.20 no.3
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• pp.24-35
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• 2015

This paper attempts to critically review the status of supply chain operations in the healthcare field in an attempt to address what has been done in academics as well as the practitioner's field to gain insight where future research efforts should be addressed. Based on literature set through review on previous studies, literature published within the past 10 years will be reviewed. The purpose of the study can be summarized as follows. First, overviews of healthcare SCM. Second, comparative studies on commercial SCM and healthcare SCM. Third, major tools in SCM. Finally, the barriers of adopting healthcare SCM. The findings of this study reveals potential benefits from using supply chain management tools. Although research and case studies in healthcare industries are not as extensive as in other industries, a clear trend appears to be forming in that deployment of supply chain management indeed generates consumer and provider's surplus from which the entire society would benefit.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.515-526
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• 2020

Digital healthcare is a combined area of medical field and IT and various information on digital healthcare is provided in social media. This study aims to find the research trend of digital healthcare by collecting and analyzing data related to digital healthcare through the social media. The data were collected from Naver and Daum's news and blogs from January 2008 to June 2019. Major keywords with high frequency were extracted and visualized with wordcloud and network analysis was used to analyze the relationship between major keywords. Research combining medical field and IT from 2008 to 2001, various convergence research based on medical field and IT from 2012 to 2015, convergence research that applied the 4th industrial revolution technologies such as big data, blockchain and AI were actively conducted from 2016 to June 2019.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.149-163
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• 2023

In this study we analyze research trends on machine learning healthcare based on papers from the United States, the United Kingdom, and Korea. In Elsevier's Scopus, we collected 3425 papers related to machine learning healthcare published from 2018 to 2022. Keyword frequency and centrality analysis were conducted using the abstracts of the collected papers. We identified keywords with high frequency of appearance by calculating keyword frequency and found central research keywords through the centrality analysis by country. Through the analysis results, research related to machine learning, deep learning, healthcare, and the covid virus was conducted as the most central and highly mediating research in each country. As the implication, studies related to electronic health information-based treatment, natural language processing, and privacy in Korea have lower degree centrality and betweenness centrality than those of the United States and the United Kingdom. Thus, various convergence research applied with machine learning is needed for these fields.

• Asia pacific journal of information systems
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• v.29 no.4
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• pp.817-837
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• 2019

The medical industry is rapidly evolving into a combination of artificial intelligence (AI) and ICT technology, such as mobile health, wireless medical, telemedicine and precision medical care. Medical artificial intelligence can be diagnosed and treated, and autonomous surgical robots can be operated. For smart medical services, data such as medical information and personal medical information are needed. AI is being developed to integrate with companies such as Google, Facebook, IBM and others in the health care field. Telemedicine services are also becoming available. However, security issues of medical information for smart medical industry are becoming important. It can have a devastating impact on life through hacking of medical devices through vulnerable areas. Research on medical information is proceeding on the necessity of privacy and privacy protection. However, there is a lack of research on the practical measures for protecting medical information and the seriousness of security threats. Therefore, in this study, we want to confirm the research trend by collecting data related to medical information in recent 5 years. In this study, smart medical related papers from 2014 to 2018 were collected using smart medical topics, and the medical information papers were rearranged based on this. Research trend analysis uses topic modeling technique for topic information. The result constructs topic network based on relation of topics and grasps main trend through topic.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.981-993
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• 2018

Smart healthcare is convergence of ICT and healthcare services, and interdisciplinary research has been actively conducted in various fields. The objective of this study is to investigate trends of smart healthcare research using topic modeling and ego network analysis. Text analysis, frequency analysis, topic modeling, word cloud, and ego network analysis were conducted for the abstracts of 2,690 articles in Scopus from 2001 to April 2018. Topic Modeling analysis resulted in eight topics, Topics included "AI in healthcare", "Smart hospital", "Healthcare platform", "Blockchain in healthcare", "Smart health data", "Mobile healthcare", " Wellness care", "Cognitive healthcare". In order to examine the topic modeling results core deeply, we analyzed word cloud and ego network analysis for eight topics. This study aims to identify trends in smart healthcare research and suggest implications for establishing future research direction.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.513-516
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• 2015

Healthcare industry is one of the rapidly increasing sphere from high technology IT products and wireless communication. In particular, increase in aging society korea and whole world peoples want to treat whenever and wherever rather than go to the hospital. Accordingly, and also brand new companies which has creative ideas are being founded nowadays. As the development of healthcare industry, many different kind of health care devices is being developed use internet of things. Therefore we are conducted a surveying aimed at healthcare customer and analyse the healthcare use trend and development direction in this dissertation.