• Title/Summary/Keyword: 디지털헬스케어

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ICT Convergence Healthcare Services Status and Future Strategies (ICT융합 헬스케어 서비스 현황 및 발전전략)

  • Lee, Tae-Gyu
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.10
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    • pp.865-878
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    • 2017
  • To realize the healthy life of human, mental, physical, and environmental factors must be managed continuously and stably. In order to manage human health, the 21st century healthcare field is essential ongoing interactions and convergence with ICT technologies. Such demands have created a convergence of technologies (fusion technology) in combination with the heterogeneous technologies. And, with the convergence of medical technology and ICT technologies, the development of personalized therapy environments is created. Advances in ICT-converged healthcare services are progressing due to the development of diverse wearable devices. Such ICT fusion system is exponentially increasing the complexity of the ICT convergence healthcare system and is resulting in various technical, institutional, environmental, and cultural issues. This study explores the status of developments in ICT healthcare technologies from the past to date, identifies major technology and policy issues to address these challenges. Finally it will recommend healthcare policies and a future road-map.

A Study on Applying Novel Reverse N-Gram for Construction of Natural Language Processing Dictionary for Healthcare Big Data Analysis (헬스케어 분야 빅데이터 분석을 위한 개체명 사전구축에 새로운 역 N-Gram 적용 연구)

  • KyungHyun Lee;RackJune Baek;WooSu Kim
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.391-396
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    • 2024
  • This study proposes a novel reverse N-Gram approach to overcome the limitations of traditional N-Gram methods and enhance performance in building an entity dictionary specialized for the healthcare sector. The proposed reverse N-Gram technique allows for more precise analysis and processing of the complex linguistic features of healthcare-related big data. To verify the efficiency of the proposed method, big data on healthcare and digital health announced during the Consumer Electronics Show (CES) held each January was collected. Using the Python programming language, 2,185 news titles and summaries mentioned from January 1 to 31 in 2010 and from January 1 to 31 in 2024 were preprocessed with the new reverse N-Gram method. This resulted in the stable construction of a dictionary for natural language processing in the healthcare field.

Design and Implementation of Tele Auscultation Medicine Smart-Healthcare System based on Digital Stethoscope (디지털청진기 기반의 원격청진진료 스마트-헬스케어 시스템 설계 및 구현)

  • Kim, Heung-Ki;Jung, Jung-Il;Cho, Jin-Soo
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.6
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    • pp.62-70
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    • 2011
  • Smart-healthcare service is a health medical service which aims to provide an active consumer-directed service for both wellness and preventative health management upon the basis of rapid diffuse of smartphone which has been occurring recently. On this, this paper suggests a tele auscultation medicine smart-healthcare system based on digital stethoscope which is able through the use of the smart phone which is easy to approach anywhere. The suggested system consists of the digital stethoscope for patient's self auscultation and smart phone, the PC for doctor's examination, and the web server to connect those devices. A telemedicine can be performed between a doctor and a patient by the program which exchanges examine data and auscultation data among the devices. To sum up, by the system suggested in this paper, an easily and conveniently usable health medical service on an everyday basis could be provided without spatial and temporal limits.

A Study on the Trend of Employment Effect and Employment Policy in the Digital Bio-healthcare Industry (디지털바이오헬스케어산업의 고용효과 추이 변화와 고용정책에 관한 연구)

  • Jang, Pil-Ho;Kim, Yong-Hwan
    • Journal of Convergence for Information Technology
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    • v.11 no.1
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    • pp.175-182
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    • 2021
  • The purpose of this study is to establish the direction of industrial policy by comparing the employment inducement effect on the related industries of the digital bio-healthcare industry. The analysis data used the three-year input-output table measured by the Bank of Korea. First, the research method was rewritten into 7 major industries to compare statistical data by period. Second, the Bank of Korea's industry-related analysis methodology was utilized. Third, the weight was reflected and compared by employment, production, and investment sectors of the digital bio-healthcare industry. As a result of the analysis, first, the employment sector had a higher effect than the average of the entire industry, second, the production sector was low, and third, the investment sector required investment in the service sector. The conclusions drawn from the analysis showed that direct investment and continuous investment are required in the employment sector, the development of professional manpower is urgent, and direct investment and long-term investment are effective in the production sector.

The Study on Use Intention of Digital Healthcare using UTAUT (UTAUT를 이용한 디지털 헬스케어 사용의도에 관한 연구)

  • Taehui Kim
    • Journal of Industrial Convergence
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    • v.21 no.1
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    • pp.95-102
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    • 2023
  • This study was to identify the factors affecting nurses' use intention of digital healthcare and the moderating effect of clinical career based on the UTAUT model. The items were composed by performance expectancy 3 items, facilitation condition 3tiems, and perceived risk 3 items. CFA was performed to verify the construct validity. As a results, average variance extracted (AVE) was .5 or higher, and construct reliability (CR) was .7 or higher. Model fit was confirmed as CMIN/df=1.797, GFI=.955, CFI=.979, TLI=.968, IFI=.979, and RMSEA=.063. The internal reliability was .93 for performance expectancy, .84 for facilitating conditions, and .64 for perceived risk. Performance expectancy, facilitating condition, and perceived risk had a significant effect on use intention, and clinical career showed a moderating effect(t=-2.159, p=.032). Therefore, in order to enhance the use intention of digital health care, performance expectancy, and facilitating conditions should be raised and perceived risk should be reduced.

Mental Healthcare Digital Twin Technology for Risk Prediction and Management (정신건강 위험 예측 및 관리를 위한 멘탈 헬스케어 디지털 트윈 기술 연구)

  • SeMo Yang;KangYoon Lee
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.29-36
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    • 2022
  • The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

Design of Health Content Using GPS and Sensors (GPS와 센서를 이용한 헬스콘텐츠 설계)

  • Kim, Dongyoung;Hyeon, Uijoo;Yoon, Seonjeong
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.07a
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    • pp.147-148
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    • 2019
  • 최근 국민의 건강증진 및 질병관리 등에 대한 관심이 증가하면서 전문가들 또한 걷기 운동의 유효성을 강조하고 있다. 이에 따라 스마트 헬스케어와 관련된 기기 및 서비스에 대한 개발이 활발히 진행 중이다. 본 논문에서는 GPS와 비콘 센서를 이용한 환경에서 걷기운동과 미니게임 콘텐츠를 융합한 어플리케이션을 설계하고 구현한다. 이 콘텐츠는 특정 지역을 가상의 게임 맵으로 매칭하고 GPS센서와 리얼월드의 비콘을 블루투스 통신으로 인지하도록 하였으며 이를 통해 소모 칼로리 계산, 게임의 클리어 조건 등 핵심 시스템으로 사용한다. 본 연구를 통해 설계, 구현된 게임 콘텐츠는 이용자의 움직임을 정확히 측정할 수 있고 재미와 몰입감을 제공하여 지속적인 운동을 유도함으로써 운동효과가 향상됨을 확인할 수 있었다.

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Bluetooth based Portable Healthcare Gateway Development for Hypertention Patients (고혈압 환자를 위한 블루투스 기반의 포터블 헬스케어 게이트웨이 개발)

  • Kim, Jong-Tak;Soh, Jae-Young;Kim, Jong-Hun;Kang, Un-Gu
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.339-344
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    • 2013
  • With the increasing number of chronic disease patients, the importance of everyday health care has grown more significant. The study researchers expected it would help for patients' health improvement and healthcare service expansion if users check their vital signs in their daily lives and send the results to a medical center's servers through a specific device automatically. This thesis, in line with this idea, seeks to develop a portable healthcare gateway. The gateway is designed in a USB type and can transmit standardized data, operating regardless of a user's location and Personal Healthcare Devices (PHDs). The developed portable healthcare gateway provides effective services in ubiquitous environments to customers, which will improve the health of chronic patients.

The Development of User Interface Usability Evaluation of Mobile Healthcare Application for the Elderly (고령자를 위한 모바일 헬스케어 애플리케이션 UI 사용성 평가영역의 개발)

  • Seo, Hyo-Min
    • Journal of Digital Contents Society
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    • v.19 no.9
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    • pp.1759-1767
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    • 2018
  • As our society is rapidly entering an aging society, interest in mobile health care services for disease prevention and health care for the elderly is increasing. To increase the usability of mobile healthcare services, UI design should be considered from an older person's perspective and a specific evaluation system is required to diagnose these UI usability levels. This study aimed to develop a UI usability evaluation area of mobile-healthcare application for the elderly. For this, we conducted a literature analysis to explore the comprehensive UI usability evaluation factors, and FGI for expert groups and user groups to derive UI usability evaluation areas and detailed evaluation factors. As a result, the usability evaluation areas for the elderly were divided into four areas 'design', 'contents', 'process', and 'system'. A total of 13 sub-factors and 32 detailed constructions have been derived.

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.