• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.53-61
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• 2020

Recently, as the uncontact service is activated in earnest due to the Corona 19 virus, the necessity of system development to provide non-face-to-face contact remote medical service has increased. In this study, we propose a smart healthcare system, Rm_She(Remote Medical Smart Healthcare System). Rm_She can collect and manage various vital signs information by connecting various healthcare products that detect bio-signals based on IoT to one application. The health check app (HC_app) is used to connect vital sign measurement devices to a wireless LAN and receive vital sign values from the HC_app. Then, the vital signs are output to the user on the smartphone, and the corresponding information is transmitted to the healthcare management server. The healthcare server receives the measured values and stores them in a database, and the stored measured values are provided as a web service so that medical staff can remotely monitor them in real time.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2002.11a
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• pp.510-514
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• 2002

In this paper proposes and embodied 1:1 tole-medical information system of internet base. and by real time to a doctor transmit all patients' data blood pressure. pulsation, body temperature, blood sugar, voice, etc.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.37-45
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• 2013

In this paper proposes the latest network-assisted online telemedicine service to coincide with the point being discussed for health care providers to match patients, patients with personalized medical service support system. In order to design the system, to understand the requirements of the patient personalized medical support service system, the data were normalized and were designed architecture client server structure. Further, in order to implement the system that was designed to define the structure of server and client, ontology repository, we implement the system. In this paper, as a result of the test by creating a scenario and prerequisites for testing patient personalized medical service support system that is design and implementation, selecting a patient's condition, department of symptoms by the selected but it was confirmed that the inference is, inference medical institutions that fits department inferred one following upon the items medical patient has the required.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.180-197
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• 2020

The purpose of this study is to explain intention to use untact medical diagnosis and consultation services. There is a need for untact medical diagnosis and consultation services in order to increase social interests and a global trend for public protection and convenience enhancement. We carry out the analysis of the survey data using Smart PLS 3.0 to test the hypotheses. According to the empirical analysis results, this study confirms that health consciousness have significant effects on the cost saving, quality of telemedicine service and self-efficacy have significant effects on the accessibility, compatibility. cost saving, quality of telemedicine service, accessibility and compatibility have significant effects on Perceived usefulness. Perceived usefulness have significant effects on use Intention of untact medical diagnosis and consultation services. This study has its meaning because it found out that it deals structurally and expansively with use intention through Expected Benefit and usefulness based on individual characteristics for untact medical diagnosis and consultation services. In addition, The results of this study suggest that if the related policies are institutionalized based on the Expected Benefits covered in this study, the perception of untact medical diagnosis and consultation services can be changed progressively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.3-9
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• 1999

This study is focused on the developing of the telecommunication technique for the analysis on the social changes. In the scope and method of this study there must invalve following three items; change living environment, solution of medical problom, solution of education problem. The results of this study is as follow: First, telecommunication technique policy must be constructed in Korea. Second, digitalizing interchange machine and wire network must be promoted, presenting the development and establishment direction of B-ISDN. Third, the telecommunication policy in future must be able to unify all the networks.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.133-139
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• 2014

Nowadays, telemedicine and remote prescription has been operating as a pilot basis. However, in case of remote hospitals without encrypting the biometric data transmission and its contents, the patient prescription data hacked from hackers who changed prescription medications can be serious obstacles to the patient. Therefore, in this paper, to solve this problem, password encryption, personal identification information, biometric data security on the patient's prescription and remote medical information system, and implementation of the encryption algorithm are proposed.

• Review of KIISC
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• v.22 no.4
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• pp.7-13
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• 2012

전통적으로 바이오인식기술은 출입국심사(전자여권, 승무원 승객 신원확인), 출입통제(도어락, 출입 근태관리), 행정(무인민원발급, 전자조달), 사회복지(미아찾기, 복지기금관리), 의료(원격의료, 의료진 환자 신원확인), 정보통신(휴대폰인증, PC 인터넷 로그인), 금융(온라인 뱅킹, ATM 현금인출) 등 전세계적으로 다방면에서 폭넓게 보급되어 실생활 깊숙이 자리잡게 되었다. 최근 들어서는 2,000만명의 스마트폰 보급이 폭증하고 NFC칩을 이용한 모바일 지급결제서비스가 개시됨에 따라서, 다양한 모바일 응용서비스 출현과 함께 모바일 기기인증 및 모바일 신융합 응용서비스에 대한 보다 강력한 인증수단을 요구하고 있다. 이에 따라, 본 고에서는 스마트폰을 포함한 모바일기기에 적용된 바이오인식 융합기술, 출입국심사에 적용한 모바일 바이오인식기술, 원격진료를 위한 메디컬 바이오인식기술, 지능형 CCTV에 얼굴인식기술 적용 등 국내외 모바일 바이오인식기술 개발동향과 및 표준화 동향을 살펴보고, 향후 모바일 바이오인식 신융합기술 개발 및 국제표준화 추진방향을 모색하고자 한다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.424-427
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• 2005

본 논문에서는 휴대용 개인정보 단말기를 이용하여 개인의 생체신호를 보다 쉽게 취득하고 분석하는 시스템을 제안한다. 바쁘게 사는 현대인들이나, 거동이 불편한 환자들에게 병원을 직접 내원하여 검사를 받거나 진단을 받는 일은 큰 부담이 아닐 수 없다. 이에 본 연구에서는 원격지에서의 병원이나 타 의료장치에서 취득된 생체신호를 유비쿼터스 환경에서 블루투스로 전송하고 이 데이타를 블루투스가 내장된 PDA에서 획득하여 화면상에 다양한 표현방법으로 표현하는 생체신호 획득 시스템 구현을 목표로 한다. 이와 같은 시스템을 구현함으로서 이전의 생체신호와 현재의 생체신호를 쉽게 비교하고 분석할 수 있으며, 자신의 건강상태를 자가 점검하거나 의료기관의 의사에게 보내어짐으로서 검진 받을 수 있는 원격진료가 가능하다.

• The Korean Society of Law and Medicine
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• v.22 no.2
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• pp.3-48
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• 2021

Among the major rulings handed down in 2020, there were cases involving anaphylaxis, which is timely as a side effect of coronavirus and flu vaccine. And as a rare case, a ruling was handed down that if medical treatment was done so unfaithfully beyond the limit of patience of ordinary people, it can be an independent illegal act and a cause of compensation for emotional distress. Also, there was a ruling in the appellate court that evaluated disability rate applying the Korean Academy of Medical Sciences Guides for the Evaluation of Permanent Impairment, not McBride system. And the supreme court made it clear that telemedicine is illegitimate. In relation to duty of explanation, it is in the process of adding detail criterion on the firm principles in the individual cases. In regard of medical records, there was a case that even when a medical record is strongly suspected to be tampered with, it is not considered to be an obstruction of proof. There were cases that resulted in different conclusion between the court of first instance and the appellate court rulings. Lastly, in the face of a growing number of cases in which doctors are sentenced to prison for malpractice, we reviewed a ruling that sentenced a doctor to prison.

• Prospectives of Industrial Chemistry
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• v.23 no.6
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• pp.3-13
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• 2020

저출산 고령화 사회로의 진입은 대한민국뿐만 아니라 전 세계적으로 많은 사회 문제를 야기하고 있다. 그 중에서 고령 인구 증가로 인한 의료 수요 증가와 이를 뒷받침 할 의료인력 부족은 곧 다가올 사회문제이다. 4차 산업 혁명으로 인해 다양한 사회문제에 대한 혁신적인 해법들이 제시되고 있는데, 본 기고문에서는 다가올 고령화 사회에서 의료인력 부족 등에 의한 해결법으로 원격의료 지원을 위한 인공지능 활용을 다루고자 한다. 병 진단 및 예측을 위한 여러 가지 인공지능 알고리즘은 이미 많이 개발 되어 있으나, 일반적으로 딥러닝에 많이 쓰이는 인공신경망 구조인 합성곱 뉴럴네트워크(convolution neural network)나 기존 퍼셉트론(perceptron) 구조에서 벗어나 확률론적 인공신경망 중에 하나인 베이지안 뉴럴네트워크(Bayesian neural network)를 다루고자 한다. 그중에서 연산효율적이며 뉴로모픽 하드웨어로 구현 가능성이 높고 실제 진단 예측(diagnosis prediction) 문제 해결에 강점을 보이는 알고리즘으로써 naive Bayes classifer를 활용한 연구를 소개하고자 한다.