• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.345-348
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• 2012

본 논문은 만성질환 환자를 위한 인체 삽입형 시스템을 구현하기 위해서 의료용 통신 기술을 사용한 생체신호의 송수신 및 제어가 가능하며, 무선전력전송 기술을 통해 반영구적 사용을 가능하게 하는 IT융합형 인체 삽압형 시스템 플랫폼 원천기술을 개발하고 생리기능(혈당, 혈압, 심장박동 등) 감시가 가능한 이식형 융복합 시스템 기술에 관하여 분석하였다. 인체삽입형 생리기능 자동감시 시스템은 사후진단 및 치료에서 능동적인 조기진단과 예방으로 진화하고 있으며 신기술 및 융합 기술이 의료기기의 응용 범위를 더욱 확대하는 방향으로 가고 있다. 미국/유럽 등 선진국이 대부분의 시장을 차지하고 있으므로 국내개발 성공시 수입대체 효과뿐만 아니라 기술적 격차 극복을 통한 세계 시장 진출도 가능하다. 이 분야는 세계적 경쟁력을 가진 국내 IT 산업과의 강한 시너지를 통하여 복합 기술형 첨단 의료기기의 기술경쟁력을 제고하고, 진입장벽이 높은 미래 첨단산업 시장 진출에 의한 국가전략산업 육성에 기여할 수 있을 것으로 기대된다.

• Convergence Security Journal
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• v.16 no.7
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• pp.41-49
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• 2016

The need for protecting computerized medical information has been growing as information and communication technology has rapidly been developed. Government is also promoting institutional improvement measures for the information protection of medical institutions. With more emphasis upon the efforts to enhance the information protection capability of the medical institution, however, it could increase stress to the hospital workers and cause a reduction in the quality of essential medical services of medical institutions. Therefore, it is necessary to research the stress from hospital workers to strengthen the protection of information that medical institutions to manage and its antecedents. Based on the results of relevant researches, this study selected several factors that affect the security stress, including work overload, invasion of privacy and work uncertainty. The sample for this study was 123 hospital workers who were surveyed by questionnaire. The factor analysis and multiple regression method were employed for the analysis of this study. The results of this study showed that work overload, invasion of privacy and some of work uncertainty were the main factors positively influencing the security stress.

• Convergence Security Journal
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• v.14 no.5
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• pp.57-64
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• 2014

Beginning in 2000, domestic large hospital based integrated health information system has been developed from order communication system to electronic medical record system. However, today's advanced medical information system is integrated with unit of the system because user needs is complex and various. And, the problem is authority management of health information system in complex systems of large size hospital. It is also a serious problem of private information exposure because of user's authority management defect. In this paper, we analyze the problems of past hospital information system and propose an efficient and appropriate management authority in operating environment. It also introduces the instances applied into a large hospital EMR system, developing proper authority management to match the characteristics of the integrated medical information system. The proposed system is based on solutions of authority management system suitable for integrated health information system, as well as the next generation of EMR.

• Korea Information Processing Society Review
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• v.21 no.5
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• pp.10-19
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• 2014

• Korea Information Processing Society Review
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• v.21 no.5
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• pp.4-9
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• 2014

• The Magazine of the IEIE
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• v.37 no.6
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• pp.49-59
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• 2010

• The Magazine of the IEIE
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• v.37 no.6
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• pp.60-68
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• 2010

• KSCI Review
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• v.21 no.2
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• pp.17-26
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• 2013

• The Magazine of the IEIE
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• v.43 no.2
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• pp.18-24
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• 2016

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.97-104
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• 2018

The purpose of this study was to investigate the expectation toward medical artificial intelligence(AI) of students in majoring health, and to utilize it as a basic data for widespread use of medical AI for 500 students majoring in health science at Cheonan city. The awareness of AI was 18.6%, the reliability of AI was 24.8%, and agreement to use of medical AI was 38%. Also, the higher the awareness and reliability of AI were, the higher the expectation of AI was. As a result, education on medical AI in the major field should be a cornerstone for the development of an effective healthcare environment utilizing medical AI by raising awareness, reliability and expectation of AI.