• Title/Summary/Keyword: digital healthcare

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Skin-Mimicking Phantom for Measurment of Cosmetic Transdermal Absorption and Temperature Changes by Sonophoresis

  • Kim, Gahee;Jang, Hwijin;Choi, Seonmin;Park, Sanghyo;Kim, Woo Cheol;Key, Jaehong
    • Journal of Biomedical Engineering Research
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    • v.43 no.4
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    • pp.271-279
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    • 2022
  • Functional cosmetics containing various ingredients that improve skin health are currently being developed. In addition, technologies that help increase the absorption rate of such cosmetics have recently gained significant attention. Sonophoresis is a method to increase the transdermal absorption of cosmetics using ultrasound. A skin-mimicking phantom was fabricated using polydimethylsiloxane, Strat-MTM membrane, and thermochromic pigments. Gel-type cosmetics used in skin mask packs and epidermal-growth-factor-based nano-cosmetics were tested for their absorption rates at ultrasound frequencies of 1, 3, and 10 MHz in the single frequency mode, and 1/3 and 3/10 MHz in the dual frequency mode. The gel-type cosmetics and epidermal-grow-factor-based nano-cosmetics showed the highest absorption rate at 3/10MHz dual frequency. The size of the cosmetic particles decreased by 5-9 %. Furthermore, the temperature rise caused by ultrasound could be visually recognized by the thermochromic pigment in the phantom turning white. We presented a skin-mimicking phantom. The device can be customized according to the size of the ultrasound probe and has the advantage of quantitatively evaluating the transdermal permeability of cosmetics at a low cost. The development of the skin-mimicking phantom will be useful for determining the suitable conditions required to increase the absorption rate of cosmetics using ultrasound.

A study on the Establishment of a Digital Healthcare Next-Generation Information Protection System

  • Kim, Ki-Hwan;Choi, Sung-Soo;Kim, Il-Hwan;Shin, Yong-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.7
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    • pp.57-64
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    • 2022
  • In this paper, the definition and overview of digital health care that has emerged recently, core technology, and We would like to propose a plan to establish a next-generation information protection system that can protect digital healthcare devices and data from cyber attacks. Various vulnerabilities exist for digital healthcare devices and data, and cyber attacks are possible for those vulnerabilities. Through an attack on digital health care devices and information and communication networks, it can directly adversely affect human life and health, Since digital healthcare data contains sensitive and personal information, it is essential to safely protect it from cyber attacks. In the case of this proposal, for continuous safe management of data and cyber attacks on equipment and communication networks for digital health devices, It is expected to be able to respond more effectively and continuously through the establishment of the next-generation information protection system.

A Study on Review and Consideration of Medical Industry Convergence Based on U-healthcare (유헬스케어 중심의 의료산업 융합현황 고찰 및 발전방안 연구)

  • Lee, Seong-Hoon;Lee, Dong-Woo
    • Journal of Digital Convergence
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    • v.11 no.6
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    • pp.193-197
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    • 2013
  • Healthcare is one of the most concerned fields in convergence environments. The technologies related with information communication regions are progressing continuously. These technologies in today are converged with different industries in rapidly. Therefore, in this paper, we described current trends and future of healthcare services which was converged IT technology with medical industry.

Considerations on Standardization in Smart Hospitals

  • Sun-Ju Ahn;Sungin Lee;Chi Hye Park;Da Yeon Kwon;Sooyeon Jeon;Han Byeol Lee;Sang Rok Oh
    • Health Policy and Management
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    • v.34 no.1
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    • pp.4-16
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    • 2024
  • Smart hospitals involve the use of recent ICT (information and communications technology) technologies to improve healthcare access, efficiency, and effectiveness. Standardization in smart hospital technologies is crucial for interoperability, scalability, policy formulation, quality control, and maintenance. This study reviewed relevant international standards for smart hospitals and the organizations that develop them. Specific attention was paid to robotics in smart hospitals and the potential for standardization in this area. The study used online resources and existing standards to analyze technologies, standards, and practices in smart hospitals. Key technologies of smart hospitals were identified. Relevant standards from ISO (International Organization for Standardization) and IEC (International Electrotechnical Commission) were mapped to each core technology. Korea's leadership in smart hospital technology were highlighted. Approaches for standardizing smart hospitals were proposed. Finally, potential new international standard items for robotics in smart hospitals were identified and categorized by function: sampling, remote operation, delivery, disinfection, and movement tracking/contact tracing. Standardization in smart hospital technologies is crucial for ensuring interoperability, scalability, ethical use of artificial intelligence, and quality control. Implementing international standards in smart hospitals is expected to benefit individuals, healthcare institutions, nations, and industry by improving healthcare access, quality, and competitiveness.

Digtal Healthcare Research Trend based on Social Media Data (소셜미디어 데이터에 기반한 디지털 헬스케어 연구 동향)

  • Lee, Taekkyeun
    • 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.

A Study on the Safe Use of Data in the Digital Healthcare Industry Based on the Data 3 Act (데이터 3법 기반 디지털 헬스케어 산업에서 안전한 데이터 활용에 관한 연구)

  • Choi, Sun-Mi;Kim, Kyoung-Jin
    • Journal of the Korea Convergence Society
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    • v.13 no.4
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    • pp.25-37
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    • 2022
  • The government and private companies are endeavoring to help the digital healthcare industry grow. This includes easing regulations on the big data industry such as the amendment of the Data 3 Act. Despite these efforts, however, there have been constant demands for the amendment of laws related to the medical field and for securing medical data transmissions. In this paper, the Data 3 Act of Korea and the legal system related to healthcare are examined. Then the legal, institutional, and technical aspects of the strategies are compared to understand the issues and implications. Based on this, a legal and institutional strategy suitable for the digital healthcare industry in Korea is suggested. Additionally, a direction to improve social perception along with technical measures such as safe de-identification processing and data transmission are also proposed. This study hopes to contribute to the spread of various convergent industries along with the digital healthcare industry.

A Design of Gene-based Nutritional and Exercise Management Service (유전자 기반 영양 관리 및 운동 관리 서비스 설계)

  • Lee, Hye-In;Park, Ju-Yeong;Kim, Young-Hwa;Kim, Hee-Cheol;Huh, Gyung-Hye
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.518-520
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    • 2019
  • As life expectancy has increased, health status becomes an important factor on life. The Fourth Industrial Revolution has led to the development of a variety of healthcare devices and applications that make it easier and more convenient to manage health. In particular, the area of individual genetic analysis with Single Nucleotide Polymorphism (SNP) has expanded, and genetic information is used to treat and prevent diseases according to individual differences. This study analyzes the genetic information of individuals, that is, SNP variant, and identifies specific chronic disease risk groups such as obesity, diabetes and hypertension. After then we will propose a customized nutrition information service. In addition the service of regional exercise management will be provided, to encourage exercise based on walking courses and sports center information in residential areas. Based on the GPS, it will design the service of exercise management that can encourage exercise by providing walking course and sports center information in the residential area.

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Research Trend Analysis on Smart healthcare by using Topic Modeling and Ego Network Analysis (토픽모델링과 에고 네트워크 분석을 활용한 스마트 헬스케어 연구동향 분석)

  • Yoon, Jee-Eun;Suh, Chang-Jin
    • 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.

Research Trend on Machine Learning Healthcare Based on Keyword Frequency and Centrality Analysis : Focusing on the United States, the United Kingdom, Korea (키워드 빈도 및 중심성 분석 기반의 머신러닝 헬스케어 연구 동향 : 미국·영국·한국을 중심으로)

  • Lee Taekkyeun
    • 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.

A Study on the Competitive Analysis of Digital Healthcare in Korea through Patent Analysis (특허분석을 통한 한국의 디지털 헬스케어 분야 경쟁력 분석연구)

  • Kim, Dosung;Cho, Sung Han;Lee, Jungsoo;KIM, Min Seok;Kim, Nam-Hyun
    • Journal of Digital Convergence
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    • v.16 no.9
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    • pp.229-237
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    • 2018
  • As IoT and AI have recently developed, interest in digital healthcare is increasing. Therefore, this study aims to identify technology trends through a patent analysis on digital healthcare and present future promising areas by analyzing domestic and foreign technology competitiveness and keywords. The detailed technologies to be analyzed were designated as Health Information Measurement Technology, Healthcare Platform Technology and Healthcare Remote Service Technology, and 61,166 patents were analyzed to identify the patent trends of the world's major patent offices and major patent applications. In addition, the analysis of the technological competitiveness of each detailed technology and Korea's technological competitiveness based on its patent activity, the rate of major market securing, and the uses of the patents showed that Korea's technological competitiveness was lower than global technology. In addition, the key keyword analysis showed that the core promising areas of digital healthcare were expected to require a focused strategy for fostering health care platform technologies in Korea.