• Title/Summary/Keyword: Healthcare Security

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The Use of the Movie 'The Island' for Nursing Informatics in Nursing Students (간호정보학 이해를 위한 영화 'The Island' 활용)

  • Oh, Jina;Shin, Hyewon;De Gagne, Jennie C.
    • The Journal of the Korea Contents Association
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    • v.15 no.4
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    • pp.330-341
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    • 2015
  • The purpose of this study was to examine the effect of the film 'The Island' on 2nd year nursing students' nursing informatics (NI) competency. The participants were sixty-eight students in a baccalaureate nursing program of a private university, taking the course, 'Nursing & Informatics' in the 2012 fall semester. Over the 15 weeks, the film was used for five weeks as introduction to NI, peer-to-group discussions, and self-reflection on lessons learned regarding NI. A qualitative content analysis was used to explore the students' experiences and perceptions on their NI competency. As a result, students signified the NI concept as the assessment of biometrics data, promotion of optimal health with the support of various technologies, and integration of patient-centered care into routine practice. They also highlighted the importance of security and safety measures as well as high quality health technology including the ubiquitous health monitoring system. Overall, the lesson outcomes of the course were met. As a supportive, instructional strategy, the use of the movie, 'The Island', was effective for nursing students in achieving NI competencies. Further study is warranted to determine if movies can be used as a means of continuing education to improve informatics competences in healthcare professionals.

A Study on the Application of the Korean Valuation Weights for EuroQoL-5 Dimension (EuroQoL-5 Dimension 한국 가중치 모형의 적용 연구)

  • Lee, Young-Hoon;Choi, Jin-Su;Rhee, Jung-Ae;Ryu, So-Yeon;Shin, Min-Ho;Kim, Jin-Hee
    • Korean Journal of Health Education and Promotion
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    • v.26 no.1
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    • pp.1-13
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    • 2009
  • Objectives: This study was conducted to estimate the health-related quality of life (HRQOL) using EuroQoL-5 Dimension (EQ-5D) and to identify its related factors among urban-dwelling adults. Methods: The data for this study were obtained from 1,134 subjects aged $20\sim91$, who participated in 'Survey on the health status and demand for health' in two cities of Korea (Dong-gu, Gwangju and Suncheon-si, Jeollanamdo). The HRQOL was measured using the EQ-5D instrument and EQ-5D index scores were calculated by two Korean valuation study model using time trade-off method. Results: The mean EQ-5D index scores for all subjects were $0.865{\pm}0.218$ (model A), and $0.921{\pm}0.170$ (model B). The EQ-5D index score was significantly different according to demographic and socioeconomic characteristics (gender, age, marital status, education, occupation, income, and health security system), self-rated health condition, health-related psychological assessments (enough sleep, fatigue rate, stress rate, and degree of satisfaction on the residence). The results of multiple linear regression showed that age, marital status, income, coverage of medical insurance, self-rated health condition, and fatigue rate were significantly related common statistical factors of HRQOL in two Korean valuation study model. Conclusion: Among the adults residing in urban environment, the HRQOL was significantly lower on the subjects with following conditions: higher age, being alone without a spouse as a result of death, divorce or separation, low income, medical aid program, poor self-rated health condition, and chronic fatigue. In order to improve the urban adults' quality of life, healthcare policy and health promotion program must be developed with considerations to factors related to the HRQOL.

A Study on the Activation·Specification of 119 Rescue & Care in JeJu (제주도 119구조·구급대의 활성화 및 전문화 방안)

  • Koh, Jae-Moon;Kim, Tae-Min;Kim, Hyo-Sik;Lee, Young-A
    • The Korean Journal of Emergency Medical Services
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    • v.6 no.1
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    • pp.153-168
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    • 2002
  • Since 1992, conventional fire fighting businesses have been converted into a metropolitan autonomous fire fighting system to be ready for a variety of disasters. However, the corresponding investment has been overlapped due to the non-integration of businesses to prevent any potential disasters, and a series of collaborative systems have been not functioning so well. In the meantime, our fire fighting sector has been trying to set up its own clean and faithful position by abolishing any inconvenient system or outsourcing private sectors, and expanded its work scope from conventional fire fighting even to rescue and emergency works. While focusing on handling disaster, the fire fighting sector has been widely trusted and reliable throughtout our nation. Moreover, our fire fighting sector has secured nation wide mobile organizations, technical personnel by field, special equipments and independent communication network. In addition, the fire fighting sector has knowledges, expertise and capabilities required for managing disasters, while in charge of almost every disaster management works including fire, explosion, collapse, disaster and flood. It becomes an organization for comprehensive disaster management under an absolute national trust, which is based on the system for prevention, preparation and countermeasure against a variety of disasters. Thus, our fire fighting sector must make many efforts and try to modernize conventional education and training. The ways to facilitate rescue and emergency works may include the nurture of technical fire fighting personnel along with modernized equipments, the reinforcement of rescue and emergency education, the facilitation of operating civil defense corps, the facilitation of operating volunteer fire fighting corps, the better arrangement of 119 briefing room for public healthcare in provincial offices, the sterilization of rescue instruments and equipments the better repair education for emergency rescue member, the establishment of regional emergency assistant system and the expansion of fire fighting personnel and equipments. In terms of reinforcing the functions and services of rescue 119 and emergency corps, we must review the following considerations: Building up security system along with operational expansion, building up a system for emergency medical treatment, building up a comprehensive information management system for rescue and emergency, constructing a provincial safety museum and so forth. For the ways to better the works of rescue 119 we can review the following considerations : Improving the education for fire fighting training corps under Jeju Provincial Fire and Disaster Management Department, providing rescue members with more opportunities for clinical practices, enhancing the morale of rescue members, installing a comprehensive briefing room for emergency rescue members, building up medical networks along with reasonable policies for information service, operating the consulting system for rescue 119 and so on. If these requirements are met, it is expected that the fire fighting departments in Jeju province can cope with every accident and disaster a little more rapidly and quickly in compliance with local needs, so that they can keep their own position as a public fire fighting organization which may be trusted by the public.

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An Empirical Study on the Prediction of Future New Defense Technologies in Artificial Intelligence (인공지능 분야 국방 미래 신기술 예측에 관한 실증연구)

  • Ahn, Jin-Woo;Noh, Sang-Woo;Kim, Tae-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.9
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    • pp.458-465
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    • 2020
  • Technological advances in artificial intelligence are affecting many industries, such as telecommunications, logistics, security, and healthcare, and research and development related to economic, efficiency, linkage with commercial technologies are the current focus. Predicting the changes in the future battlefield environment and ways of conducting war from a strategic point of view, as well as designing/planning the direction of military development for a leading response is not only a basic element to prepare for comprehensive future threats but also an indispensable factor that can produce an optimal effect over a limited budget/time. From this perspective, this study was conducted as part of a technology-driven plan to discover potential future technologies with high potential for use in the defense field and apply them to R&D. In this study, based on research data collected in a defense future technology investigation, the future new technology that requires further research was predicted by considering the redundancy with existing defense research projects and the feasibility of technology. In addition, an empirical study was conducted to verify the significance between the future new defense technology and the evaluation indicators in the AI field.

Medical Information Privacy Concerns in the Use of the EHR System: A Grounded Theory Approach (의료정보 프라이버시 염려에 대한 근거이론적 연구: 전자건강기록(EHR) 시스템을 중심으로)

  • Eom, Doyoung;Lee, Heejin;Zoo, Hanah
    • Journal of Digital Convergence
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    • v.16 no.1
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    • pp.217-229
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    • 2018
  • Electronic Health Record (EHR) systems are widely adopted worldwide in hospitals for generating and exchanging records of patient information. Recent developments are moving towards implementing interoperable EHR systems that enable information to be shared seamlessly across healthcare organizations. In this context, this paper explores the factors that cause medical information privacy concerns, identifies how people react to privacy invasion and what their perceptions are towards the acceptance of the EHR system. Interviews were conducted to draw a grounded theory on medical information privacy concerns in the use of EHRs. Medical information privacy concerns are caused by perceived sensitivity of medical information and the weaknesses in security technologies. Trust in medical professionals, medical institutions and technologies plays an important role in determining people's reaction to privacy invasion and their perceptions on the use of EHRs.

A Design of Secure Communication for Device Management Based on IoT (사물인터넷 기반 디바이스 관리를 위한 안전한 통신 프로토콜 설계)

  • Park, Jung-Oh;Choi, Do-Hyeon;Hong, Chan-Ki
    • Journal of Convergence for Information Technology
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    • v.10 no.11
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    • pp.55-63
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    • 2020
  • The IoT technology is a field that applies and converges the technologies in the existing industrial environment, instead of new technologies. The IoT technology is releasing various application services converged with other industries such as smart home, healthcare, construction, and automobile, and it is also possible to secure the work efficiency and convenience of users of IoT-based technologies. However, the security threats occurring in the IoT-based technology environment are succeeding to the vulnerability of the existing wireless network environment. And the occurrence of new and variant attacks in the combination with the ICT convergence environment, is causing damages. Thus, in the IoT technology-based environment, it would be necessary to have researches on the safe transmission of messages in the communication environment between user and device, and device and device. This thesis aims to design a safe communication protocol in the IoT-based technology environment. Regarding the suggested communication protocol, this thesis performed the safety analysis on the attack techniques occurring in the IoT technology-based environment. And through the performance evaluation of the existing PKI-based certificate issuance system and the suggested communication protocol, this thesis verified the high efficiency(about 23%) of communication procedure. Also, this thesis verified the reduced figure(about 65%) of the issued quantity of certificate compared to the existing issuance system and the certificate management technique.

Analysis and Forecasting for ICT Convergence Industries (ICT 융합 산업의 현황 및 전망)

  • Jang, Hee S.;Park, Jong T.
    • Journal of Service Research and Studies
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    • v.5 no.2
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    • pp.15-24
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    • 2015
  • The trade balance for the information and communications technology (ICT) industries in 2014 have reached 863 hundred million dollars as the main export products such as smart phone and semi-conductor increase, since the ICT industries have played an important role in economic growth in Korea. Until now, the consistent supporting of government and investment of company have been doing with the growth of ICT industries, as a result, Korea marked as the first in the UN electronic government preparing index, and rank 12 in the network preparing index through the policy of national information and basic plan of inter-industry convergence. However, as the unstable international economic circumstances, ICT industries is faced with the stagnation, and then preemptive development of products and services for ICT convergence industries is needed to continually get definite ICT Korea image. In this paper, the ICT convergence industry is analyzed and forecasted. In specific, the international and domestic market for cloud, 3D convergence, and internet of things is diagnosed. The market for ICT convergence industries is predicted to be 3.6 trillion dollar in the world, and 110 trillion won in domestic. From the analytical results for technology and services development, the preemptive supporting of the technology development and policy for the internet of things and 3D convergence industries is required. In addition to, through the future forecasting by socio-tech matrix method, the policy supporting for the ICT convergence area of healthcare, fintech, artificial intelligence, body platform, and human security is needed.

Intelligent Hospital Information System Model for Medical AI Research/Development and Practical Use (의료인공지능 연구/개발 및 실용화를 위한 지능형 병원정보시스템 모델)

  • Shon, Byungeun;Jeong, Sungmoon
    • Journal of the Korea Convergence Society
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    • v.13 no.3
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    • pp.67-75
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    • 2022
  • Medical information is variously generated not only from medical devices but also from electronic devices. Recently, related convergence technologies from big data collection in healthcare to medical AI products for patient's condition analysis are rapidly increasing. However, there are difficulties in applying them because of independent developmental procedures. In this paper, we propose an intelligent hospital information system (iHIS) model to simplify and integrate research, development and application of medical AI technology. The proposed model includes (1) real-time patient data management, (2) specialized data management for medical AI development, and (3) real-time monitoring for patient. Using this, real-time biometric data collection and medical AI specialized data generation from patient monitoring devices, as well as specific AI applications of camera-based patient gait analysis and brain MRA-based cerebrovascular disease analysis will be introduced. Based on the proposed model, it is expected that it will be used to improve the HIS by increasing security of data management and improving practical use through consistent interface platformization.

A Study on the Decision Factors for AI-based SaMD Adoption Using Delphi Surveys and AHP Analysis (델파이 조사와 AHP 분석을 활용한 인공지능 기반 SaMD 도입 의사결정 요인에 관한 연구)

  • Byung-Oh Woo;Jay In Oh
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.111-129
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    • 2023
  • With the diffusion of digital innovation, the adoption of innovative medical technologies based on artificial intelligence is increasing in the medical field. This is driving the launch and adoption of AI-based SaMD(Software as a Medical Device), but there is a lack of research on the factors that influence the adoption of SaMD by medical institutions. The purpose of this study is to identify key factors that influence medical institutions' decisions to adopt AI-based SaMDs, and to analyze the weights and priorities of these factors. For this purpose, we conducted Delphi surveys based on the results of literature studies on technology acceptance models in healthcare industry, medical AI and SaMD, and developed a research model by combining HOTE(Human, Organization, Technology and Environment) framework and HABIO(Holistic Approach {Business, Information, Organizational}) framework. Based on the research model with 5 main criteria and 22 sub-criteria, we conducted an AHP(Analytical Hierarchy Process) analysis among the experts from domestic medical institutions and SaMD providers to empirically analyze SaMD adoption factors. The results of this study showed that the priority of the main criteria for determining the adoption of AI-based SaMD was in the order of technical factors, economic factors, human factors, organizational factors, and environmental factors. The priority of sub-criteria was in the order of reliability, cost reduction, medical staff's acceptance, safety, top management's support, security, and licensing & regulatory levels. Specifically, technical factors such as reliability, safety, and security were found to be the most important factors for SaMD adoption. In addition, the comparisons and analyses of the weights and priorities of each group showed that the weights and priorities of SaMD adoption factors varied by type of institution, type of medical institution, and type of job in the medical institution.

Application of Deep Learning for Classification of Ancient Korean Roof-end Tile Images (딥러닝을 활용한 고대 수막새 이미지 분류 검토)

  • KIM Younghyun
    • Korean Journal of Heritage: History & Science
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    • v.57 no.3
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    • pp.24-35
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    • 2024
  • Recently, research using deep learning technologies such as artificial intelligence, convolutional neural networks, etc. has been actively conducted in various fields including healthcare, manufacturing, autonomous driving, and security, and is having a significant influence on society. In line with this trend, the present study attempted to apply deep learning to the classification of archaeological artifacts, specifically ancient Korean roof-end tiles. Using 100 images of roof-end tiles from each of the Goguryeo, Baekje, and Silla dynasties, for a total of 300 base images, a dataset was formed and expanded to 1,200 images using data augmentation techniques. After building a model using transfer learning from the pre-trained EfficientNetB0 model and conducting five-fold cross-validation, an average training accuracy of 98.06% and validation accuracy of 97.08% were achieved. Furthermore, when model performance was evaluated with a test dataset of 240 images, it could classify the roof-end tile images from the three dynasties with a minimum accuracy of 91%. In particular, with a learning rate of 0.0001, the model exhibited the highest performance, with accuracy of 92.92%, precision of 92.96%, recall of 92.92%, and F1 score of 92.93%. This optimal result was obtained by preventing overfitting and underfitting issues using various learning rate settings and finding the optimal hyperparameters. The study's findings confirm the potential for applying deep learning technologies to the classification of Korean archaeological materials, which is significant. Additionally, it was confirmed that the existing ImageNet dataset and parameters could be positively applied to the analysis of archaeological data. This approach could lead to the creation of various models for future archaeological database accumulation, the use of artifacts in museums, and classification and organization of artifacts.