• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.184-191
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• 2022

This study aims to provide basic information necessary to find an efficient management plan for patients using auto insurance. The analysis was conducted on the five-year auto insurance medical expenses review data registered in the health care bigdata Hub from 2016 to 2020. As a result of the analysis, the number one composition ratio of auto insurance inpatient treatment expenses was treatment and surgery fees for Certified tertiary hospitals, hospitalization fees for general hospitals, hospitals and clinics, and treatment and surgery fees for oriental medical institutions and dental hospitals. outpatient treatment expenses was doctor's fee for medical institution, treatment and surgery fees for oriental medical institutions and dental hospitals. The ratio of medication, anesthesia, and special equipment significantly affected the cost of inpatient. And the ratio of physical therapy significantly affected the cost of outpatient.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.277-282
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• 2010

In this paper, the wireless transmission module is developed to transmit oxygen saturation(SpO2) signal, acquired from bio-signal measuring module, to PC. This wireless transmission module is designed with closed type protocol instead of open type protocol such as a zigbee or a bluetooth, considering of the security of personal medical informations. The display software is also developed to display transmitted SpO2 signals by various type data and graph without information loss for a emergency transfer.

• The Journal of the Korea Contents Association
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• v.12 no.8
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• pp.207-214
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• 2012

The purpose of this study was to review the agreement and disagreement logics on privatization of health care to bring quality enhancement of medical service and alienated area without medical services at the same time, to identify the core keywords through language network analysis a kind of contents analysis on the editorials dealing with privatization of health care and hospitals for profit published on the major daily newspapers for the recent three years, and to find out what is the core of the controversy through the connection centrality analysis of core keywords. Conclusively, it was found from the centrality analysis that "medical service," "hospital," "privatization," "privatization of health care," "hospital for profit" and "Government" were situated in the center of the controversy. It is natural that keywords such as "medical service," "hospital," "privatization," "privatization of health care"and "hospital for profit" were located in the center because this study reviewed the editorials published on major newspapers for the recent three years regarding the privatization of health care or hospital for profit. Next important keywords (words) were "people," "health"and "health insurance." It shows that privatization of health care was not simply seen as the opening of medical service market but as an important issue related to health of people and health Insurance. Next words with high centrality were "objection" and "allowance." Through the contents analysis of editorials for the last three years, it was found that the opinions for and against the privatization were equally matched according to the centrality analysis result. On the other hand, there is one noticeable result in centrality analysis, which is the keywords such as "US," "Korea US" and "FTA" showed centrality to some extent. It shows privatization is handled relating US and Korea US FTA by editorials.

• Electronics and Telecommunications Trends
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• v.30 no.5
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• pp.80-88
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• 2015

최근 삼성, 애플, 구글, 마이크로소프트 등 글로벌 IT기업들이 디지털 헬스케어 시장에 뛰어들고 있다. 디지털 헬스케어는 건강상태에 대한 정보를 수집하고 이를 효율적으로 관리함으로써 개인맞춤형 건강관리 및 의료서비스 제공이 가능한 ICT융합 건강관리 서비스 및 기기로 건강관리서비스의 주도권이 의료영역에서 일반 소비영역으로 확대된 형태라고 할 수 있다. 본고에서는 디지털 헬스케어 선점을 위해 최근 경쟁이 가속화되고 있는 개인건강정보 플랫폼의 동향에 대하여 알아보았다. 삼성전자 애플, 구글, 마이크로소프트 등 국내외 글로벌 IT기업들의 개인건강정보 플랫폼과 한국전자통신연구원(ETRI)에서 미래창조과학부의 지원으로 개발 중인 개인건강정보 기반 개방형 ICT힐링 서비스 플랫폼에 대하여 살펴보았다.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.03a
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• pp.191-197
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• 1998

IMF 체제와 의료시장 개방 체제속에서 경쟁우위와 합리적인 경영환경을 구축하기 위해서는 의료업계에서도 불합리한 구조적 개선과 다변화하는 고객서비스 개선을 위해 병원 조직의 효과성 또는 경영 합리화를 위해 구조조정이 불가피하다. 변화의 대응전략 하나로정보기술(Information Technology)에 의한 HPR(Hospital Process ReEngineering) 방법론을 적용시켜 조직의 리스트럭처링(Restructuring)과 프로세스 리엔지니어링(Process ReEngineering)개선으로 인한 경영환경 변화요인을 분석함으로써 기대되는 학습조직, 유연조직, 가상조직, 네트워크 조직, 인간존중조직의 구성효과와 서비스의 질적 향상, 조직의 재구성, 업무의 재분배,인적자원의 적재적소 배치, 사무환경개선, 업무처리과정이 표준와, 경영환경 개선의 기대효과와 정보기술은 단순한 프로세스의 개선, 효율화가 아니라 새로운 환경에 적합한 최적의 경영도구로 병원의 목적 달성에 간접적이 아닌 직접적인 도움을 주는 성공요인으로 평가하였다.

• IEMEK Journal of Embedded Systems and Applications
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• v.16 no.6
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• pp.313-321
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• 2021

The global market for medical devices is huge, and it will continue showing remarkable growth in the future. However, due to the entry barrier to develop medical devices, many domestic companies have technical problems in entering the medical device industry. In this paper, we introduce an open platform that can help with research and development for companies in the healthcare industry. This open platform consists of a hardware part and a software part. A hardware part is combined into CPU, base and other modules that are easy to replace and assemble. A software part is based on application software for development developed by Bionet. We test the performance of the open medical device platform using a biosignal processing algorithm.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.603-604
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• 2020

한국사회는 전통적인 대가족제도가 급속히 해체되고 저 출산 및 고령화로 인한 고령층의 1인 가정의 수가 급속히 증가하고 있는 추세이다. 고령자 1인 가구에 대한 다양한 서비스와 고도화가 필요한 이유이다. 본 연구에서는 1인 가정을 대상으로 IoT 기기를 통한 다양한 PHR 생체 신호와 환경정보을 수집하고 수집된 정보를 바탕으로 건강상태를 모니터링하는 시스템을 제안한다. 제안하는 시스템은 의료기기에서 제공되는 개방형 PHR 데이터의 융합으로 정보 분석 및 예측능력을 강화하고 고독사 상황파악 및 방지 프로그램을 이행할 수 있는 기본 인프라을 구축하고자 한다. 또한 중장년층의 미래에 대한 불확실성을 제거하고 사회복지서비스의 확대를 위한 정책적 과제의 논의적 목적을 가지고 있다. 본 연구의 결과물은 사회 소외 계층에 대한 서비스 확대와 국민의 의료환경 개선에 도움이 될 것으로 사료된다.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.411-418
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• 2018

The purpose of this study was to estimate the current status and trends of healthcare utilization among people with ASD. Using National Health Insurance open database, from 2010 to 2017. We analyzed the treatment prevalence for people with ASD, the pattern of healthcare utilization, the difference in medical care utilization according to age, and the type and location of main medical institutions. The main results of the study are as follows: First, the medical utilization has been continuously increasing from 2010 to 2017. The total amount of medical utilization is increased by 50% in 2017 compared to 2010, and the treatment prevalence was estimated to be 79.1% in 2017 and medical uses for the next three years is also increasing. Second, the pattern of medical care utilization varied widely according to age, especially after 20 years of age. Third, the types of medical institutions that were mainly used were 45.6% in the medical clinic and 35.9% in Seoul. The results of this study can be used as a minimum reference point of evaluating the effectiveness of government policy on future autistic disorders. However, further studies are required to increase the prevalence of treatment for autistic patients and to find out the difference in medical use according to age.

• Health and Mission
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• s.6
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• pp.38-42
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• 2006

성 안드레아 신경정신병원은 천주교 한국 순교복자 수도회가 1990년에 현 주소지인 경기도 이천시 마장면 표교리에 개원한 한국 최초의 개방형 정신과 전문병원이다. 이 땅에 가톨릭교회가 전래된 이후 여러 차례의 박해로 인해 우리의 선조들에게 엄청난 정신적 고통을 안겨 주었던 시기가 있었고, 우리가 살아가는 현대사회에는 신앙의 자유가 있지만 유무형의 사회 악현상에 의하여 삶이 황폐해지고 쫓기는 삶을 살고 있는가 하면 정치, 경제, 사회 등의 이유로 정신적 질환자는 매년 증가하고 있는 상황이다. 이런 환경 속에서 과거의 순교자들을 현양한다는 것과 아울러 우리사회의 부정적인 현상으로 인해 발생하는, 정신적인 치료를 요하는 사람들을 돕고 치료하는 것은 순교자 현양이라는 복자수도회의 창설 목적이다.

• Journal of the Health Care and Life Science
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• v.10 no.1
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• pp.1-14
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• 2022

This study is a study on the possibility of using big data-related education programs in health and medical administration-related departments using health and medical big data. This paper intends to examine the health and medical big data from five perspectives. 1st, in addition to the aforementioned 'Health and Medical Big Data Open System', I would like to examine the characteristics and application technologies of public big data disclosed by 'Korea Welfare Panel', 'Public Big Data', 'Seoul City Big Data', 'Statistical Office Big Data', etc. 2nd, it is intended to examine the appropriateness of whether the applicable health and medical big data can be used as living data in regular subjects of health and medical administration and health information related departments of junior colleges. 3rd, we want to select the most appropriate tool for classroom lectures using existing statistical processing packages and programming languages. Fourth, finally, by using verified health and medical big data and appropriate tools, we want to test the possibility of expressing graphs, etc. in class and the steps from writing a report. 4th, I would like to describe the relative advantages of R language that can satisfy portability, installability, cost effectiveness, compatibility, and big data processing potential.