• Title/Summary/Keyword: Non face-to-face medical consultation

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Factors Influencing Changes in Fasting Blood Sugar Level of Participants in Primary Care Chronic Disease Management Pilot Project using ICT (ICT를 활용한 만성질환관리 시범사업 참여자의 공복혈당수치 변화에 영향을 미치는 요인)

  • Ha, Yu-Hee;Jin, Ki-Nam;Jeong, Jae-Yeon;Choi, Hwa-Young
    • Korea Journal of Hospital Management
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    • v.26 no.1
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    • pp.42-54
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    • 2021
  • The purpose of this study is to analyze that ICT-based primary health care affects clinical changes of participants in the primary care chronic disease management pilot project using ICT medical care. Customized health information data, provided by National Health Insurance Service, was used for the analysis. The study targeted a total of 676 people that participated in primary care chronic disease management pilot project using ICT medical care from 2017 to 2018. Hierarchical regression was used to test three model. First, there were many subjects who used face-to-face consultation and non-face-to-face consultation(messaging), but less than half of patients using non-face-to-face consultation(telephone). Second, after participating in the pilot project, the fasting blood sugar level decreased. Third, the clinical condition of the subjects appeared to be an important factor in controlling blood sugar levels. Finally, patients using the non-face-to-face consultation(messaging) had reduced blood sugar levels after participating in the project. This results imply that non-face-to-face consultation is effective in reducing fasting blood sugar level with hospital intervention, and there are effects of the primary care chronic disease management project using ICT.

Analysis of interest in non-face-to-face medical counseling of modern people in the medical industry (의료 산업에 있어 현대인의 비대면 의학 상담에 대한 관심도 분석 기법)

  • Kang, Yooseong;Park, Jong Hoon;Oh, Hayoung;Lee, Se Uk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.11
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    • pp.1571-1576
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    • 2022
  • This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

A Study on the Civil Liability of Telemedicine and Some Legislative Proposals (원격의료의 법률관계 및 법제개선방안)

  • Jeong, Yong-Yeub
    • The Korean Society of Law and Medicine
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    • v.7 no.1
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    • pp.323-386
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    • 2006
  • A combination of information technology and medical care has given rise to a new type of medicine, i.e., telemedicine. Broadly defined, telemedicine is the transfer of electronic medical data from one location to another. Both at home and abroad, telemedicine has come to success in establishing appropriate equipment and solutions for such non-conventional medicine. Sooner or later, telemedicine is believed to find itself as one of the universal treatments. In order to facilitate the full-fledged development of telemedicine, a number of legal and institutional problems have to be settled. In Korea, the Medical Act was amended to include such provisions as telemedicine, electronic medical records, electronic prescriptions, etc. and the Act came into force on March 31, 2002. Telemedicine is in common with the conventional medicine in that a physician treats a patient. However, telemedicine is basically differentiated in the followings: - The offer and acceptance of treatment and medication are usually made on-line; - Telemedicine is inherently dangerous because a physician cannot meet face-to-face with a patient; and - Joint and several liability is borne by all the physicians involved in a telemedical consultation. As a result, telemedicine is vulnerable in nature to medical malpractice. Accordingly, there must be some new theories and arguments in the formation of contract and torts. The discussion on the civil liability covers the above-mentioned issues, and would give an insight or guidelines in the concerted operation of provisions with respect to telemedicine. This study delves into the civil liability of physicians involved in telemedical consultations and treatments based upon the conventional malpractice theory.

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