• Archives of Plastic Surgery
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• v.49 no.5
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• pp.668-675
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• 2022

Background Educational resources on the internet are extensively used to obtainmedical information. YouTube is the most accessed video platform containing information to enhance the learning experience of medical professionals. This study systematically analyzed the educational value of microsurgery-related videos on this platform. Methods A systematic review was conducted on YouTube from April 18 to May 18, 2020, using the following terms: "microsurgery," "microsurgical," "microsurgical anastomosis," "free flap," and "free tissue transfer." The search was limited to the first 100 videos, and two independent reviewers screened for eligible entries and analyzed their educational value using validated scales, including a modified version of the DISCERN score (M-DISCERN), Journal of the American Medical Association (JAMAS) benchmark criteria, and the Global Quality Score (GQS). Evaluation of video popularity was also assessed with the video power index (VPI). Results Of 356 retrieved videos, 75 (21%) were considered eligible. The educational quality of videos was highly variable, and the mean global scores for the M-DISCERN, JAMAS, and GQS for our sample were consistent with medium to low quality. Conclusions A limited number of videos on YouTube for microsurgical education have high-educational quality. The majority scored low on the utilized criteria. Peer-reviewed resources seem to be a more reliable resource. Although the potential of YouTube should not be disregarded, videos should be carefully appraised before being usedas an educational resource.

• Proceedings of the KOSOMBE Conference
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• v.1997 no.11
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• pp.201-205
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• 1997

With the recent advance of Web and its associated technologies, information sharing on distribute computing environments has gained a great amount of attention from many researchers in many application areas, such as medicine, engineering, and business. One basic requirement of distributed medical consultation systems is that geographically dispersed, disparate participants are allowed to exchange information readily with each other. Such software also needs to be supported on a broad range of computer platforms to increase the software's accessibility. In this paper, the development of world-wide-web based medical consultation system or radiology imaging is addressed to provide the platform independence and great accessibility. The system supports sharing of 3-dimensional objects. We use VRML (Virtual Reality Modeling Language), which is the de-facto standard in 3-D modeling on the Web. 3-D objects are reconstructed from CT or MRI volume data using a VRML format, which can be viewed and manipulated easily in Web-browsers with a VRML plug-in. A Marching cubes method is used in the transformation of scanned volume data set to polygonal surfaces of VRML. A decimation algorithm is adopted to reduce the number of meshes in the resulting VRML file. 3-D volume data are often very large-sized, and hence loading the data on PC level computers requires a significant reduction of the size of the data, while minimizing the loss of the original shape information. This is also important to decrease network delays. A prototype system has been implemented (http://netopia.snu.ac.kr/-cyber/). and several sessions of experiments are carried out.

• KIISE Transactions on Computing Practices
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• v.23 no.5
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• pp.284-292
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• 2017

With the development of Internet of Things (IoT) technology, the combination of ICT and medical services has been increasing to improve the quality of medical services. Using the IoTs, we can collect personal health information continuously in a patient's everyday life. We expect that this will improve the quality of medical service through analysis. However, the problem of ensuring the protection of personal information within the personal health information has been hampering the research, development, and application of such services. Other problems include lack of IoT devices and lack of user convenience for collecting health information about a patient's everyday life. Therefore, in this study, we construct a daily health information management service that can collect the health related information at any time and store this data in personal storage. This data is then only provided to the healthcare worker when necessary. We built a test bed for an IoT-based smart home platform and are currently conducting user experiments. Based on the results of this study, we are attempting to provide a high quality medical trial service based on daily health information through linkage with medical device manufacturers, medical clinics, insurance companies, etc. We expect the proposed health information management service will contribute to the revitalization of smart health care services via activating various health related IoT devices and analyzing daily health information.

• Annual Conference of KIPS
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• 2020.05a
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• pp.37-40
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• 2020

결식아동 급식지원 사업은 소년소녀 가장 등 결식우려가 있는 미성년 아동/청소년에게 꿈나무 카드를 활용하여 급식을 지원하는 사업이다. 여기서 꿈나무 카드란, 학교 바깥에서 급식에 준하는 식사를 할 수 있도록 서울시에서 발급하는 결식아동용 카드로 2017년 기준 317,234명이 사용하고 있다. 그러나 잔액조회 기능 등이 없어 사용이 불편하고, 카드 사용에 대한 사람들의 시선으로 아동/청소년이 카드 사용을 꺼려 하고 있다. 또한 카드 사용이 가능한 가맹점 정보의 미제공으로 카드 이용이 활성화되지 않고 있어, 이에 대한 개선으로 모바일 결제와 가맹점 정보를 제공하는 플랫폼 개발을 제안하게 되었다. 따라서, 본 논문에서는 저자가 실제 개발하여 테스트 중인 모바일 결제와 가맹점 정보제공 서비스, 향후 제로 페이 연동에 대한 기술 검토 내용, 관리자 계정/시스템 구축을 통해 원활한 정보처리를 제안한다. 향후 연구 과제인 지자체별 결식아동 카드와의 통합을 제안하기 위해 플랫폼 개념을 기능 구성도에 반영하였다.

• Annual Conference of KIPS
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• 2008.05a
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• pp.410-412
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• 2008

본 논문에서는 의료기관내 이기종 시스템(OCS, PACS, EMR 등) 및 외부 기관(타 의료기관, 정부기관 등)과의 원활한 의료정보 공유를 위한 Framework을 제시하고자 한다. 의료기관 내/외부의 이질적인 Legacy System 간의 자료 교환을 위하여 현재 범용적으로 사용되는 HL7 Messaging standards를 기반으로 정보를 생성 공유하게 한다. 또한, HL7 Message 생성시 표현기법이 다른 데이터들을 HL7 표준에 해당하는 데이터로 자동 변환시킬 수 있는 방안을 제시하고, 이렇게 모인 의료정보를 다기종 Platform(PC, Mobile phone 등)에서 효율적인 접근을 위한 모델도 함께 제시한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.791-793
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• 2015

Recently, UCC (User Created Contents) and VoD (Video on Demand), and multimedia content are growing, IP-TV, Smart TV, OHTV (Open Hybrid TV) various services such as multi platform (Multi-platform) environment, services and QoS issues. To solve this problem, the network efficiently, and improve the quality of content is necessary for the system. In this paper, the network of channels State and transmission of multimedia data based on dynamic resource usage, TCP and UDP, Adaptive dual-streaming system used for design and analysis. In addition, the existing TCP and UDP streaming system using a single protocol for analysis and verification of the effectiveness of the difference between and. This is a disaster, and medical/first aid system will be utilized in the field of feed, are ubiquitous.

• Women's Health Nursing
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• v.17 no.3
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• pp.275-284
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• 2011

Purpose: The purpose of this study was to identify nursing intervention performed by nurses on gynecological nursing units. Methods: The instrument in this study is based on the fifth edition of Nursing Interventions Classification (NIC) (2008). Data was collected by Electronic Medical record from August, 2010 to October, 2010 at one hospital and analyzed by using frequencies in the Microsoft Excel 2010 program. Results: Of a total of 82 NIC, domains of the nursing interventions showed higher percentages for physiological: basic (36.3%) and physiological: complex (34.5%). The classes of nursing interventions showed higher percentage for health system medication (12.1%), perioperative care (10.0%), and drug management (8.6%). The most frequently used top interventions were Discharge Planning. The thirty least used interventions was environmental management. Top thirty most frequently used interventions belonged to the domain of physiological: basic (37.9%), physiological: complex (31.1%), and behavioral (5.4%). Conclusion: These findings will help in the establishment of a standardized language for gynecological nursing units and enhance the quality of nursing care.

• Annual Conference of KIPS
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• 2014.04a
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• pp.932-933
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• 2014

최근에는 의료 빅데이터 분야에서 의료기기, 의료전문가로부터 생성 또는 감지되는 사운드 생체신호(심장박동, 호흡, 맥박, 진맥) 데이터의 특징을 디지털 데이터로 추출하여 패턴 데이터로 변환한 후, 이를 빅데이터 분석 플랫폼 기반으로 분석하여 진료, 처방, 예방 등에 유용한 정보를 생성하는 모델 구축 연구가 활성화되고 있다. 본 논문에서는 사운드 생체신호 특징을 디지털 데이터로 추출하여 (주)리아컴즈 NeoQubit 빅데이터 플렛폼을 기반으로 패턴 데이터를 분석하고 예측할 수 있는 모델을 제시한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.1006-1027
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• 2022

In the crowdfunding market, various crowdfunding platforms can offer founders the possibilities to collect funding and launch someone's next campaign, project or events. Especially, healthcare crowdfunding is a field that is growing rapidly on health-related problems based on online platforms. One of the largest platforms, GoFundMe, has raised US$ 5 billion since 2010. Unfortunately, while providing crucial help to care for many people, it is also increasing risk of fraud. Using the largest platform of crowdfunding market, GoFundMe, we conduct an exhaustive search of detection on fraud from October 2016 to September 2019. Data sets are based on 6 main types of medical focused crowdfunding campaigns or events, such as cancer, in vitro fertilization (IVF), leukemia, health insurance, lymphoma and, surgery type. This study evaluated a detect of fraud process to identify fraud from non-fraud healthcare crowdfunding campaigns using various machine learning technics.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.7
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• pp.630-642
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• 2013

To transmit vital signal stream of mobile patients remotely, it requires mobility of patient and watcher, sensing function of patient's abnormal symptom and self-organizing service binding of related computing resources. In the existing relative researches, the vital signal stream is transmitted as a centralized approach which exposure the single point of failure itself and incur data traffic to central server although it is localized service. Self-organizing middleware platform based on heterogenous overlay network is a middleware platform which can transmit real-time data from sensor device(including vital signal measure devices) to Smartphone, TV, PC and external system through overlay network applied self-organizing mechanism. It can transmit and save vital signal stream from sensor device autonomically without arbitration of management server and several receiving devices can simultaneously receive and display through interaction of nodes in real-time.