• Title/Summary/Keyword: Health information security awareness

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Personalized mobile Healthcare Service Analysis by IPA (IPA를 활용한 맞춤형 모바일 헬스케어 서비스 분석)

  • Shin, Da-Hye;Park, Man-Young;Lee, Young-Ho
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.59-69
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    • 2011
  • Recently, as people's interest in health care has been rising, the health care service awareness and utilization has been increasing. However, the existing healthcare services have problems such as inconvenience of mobility, the low reliability of input for information and low accuracy of information provided as well. in this study, we developed the m-Health application by utilizing smart phone with improvement of these problems. This application provided the total of 5 services such as notification for risk of cardiovascular disease, personalized dietary recommendations targeted to 20s and 30s who do not properly manage their health care by bad habits. In addition, the benefits and problems of these services were found out through the analysis for the general importance and satisfaction of these services by Importance-Performance Analysis (IPA) technique. In result of IPA analysis, The six items such as 'input accuracy and reliability of information', 'content reliability', 'proper health service recommendations', etc. among 12 of the items needed to receive the effective services on m-Health were belonged to importance and satisfaction area with high level. And, in the 'information security', the importance is high but the satisfaction was low. In conclusion, the further study for strengthening security of information, service update provided with PHR to consistently keep the advantage of these services will be conducted.

Hakeem: An Arabic Application Aimed to Teaching Children First Aid using Augmented Reality

  • Al-ajlan, Monirah;Altukhays, Wujud;Alyousef, Deema;Almansour, Aljawharah;Alsukayt, Layan;Alajlan, Halah
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.368-374
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    • 2022
  • Children are by nature curious and enthusiastic about learning and love to explore and search for everything they see around them, but as a result of this exploration they may sometimes be exposed to dangerous situations ranging from falls to poisoning and suffocation. That is why when supporting a child's natural desire to explore the world and supporting his awareness of dangerous situations and good handling of them, helps him build a conscious scientific mind and enhance his curiosity in the natural world. It is not easy to imagine a difficult situation in which we or one of our family is in danger, unable to help ourselves or to help them in time, due to our complete ignorance of the rules of first aid. Hence the importance of learning first aid not only for the child but for the community and the world at large. "Hakeem" is an Arabic E-health educational application that aims to teach children from the age of six to eleven years first aid, in our belief that the seed of renaissance lies in the care and education of children, and the lack of Arabic content that aims to teach children first aid skills. The idea is to create a scenario in which the child is responsible for saving the person who will be in a dangerous situation using Augmented Reality (AR) technology, to increase engagement and interaction and provides a rich user experience, and according to the child's performance, he will get reward points. The game will have several levels: Beginner, Intermediate, and Hakeem, and based on the player's points he will get a title and move to the next level, and when he reaches the end, he will get the certificate.

An Exploratory Study on Customer-oriented Attributes for the Revitalization of Digital Healthcare Service : Using Interpretive Structural Modeling (디지털 헬스케어 서비스 활성화를 위한 고객지향적 속성에 관한 탐색적 연구 : 해석적 구조 모형을 이용하여)

  • Ji, Daebum;Choi, Jeongil;Kim, Yonghee
    • Journal of Information Technology Services
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    • v.17 no.1
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    • pp.105-119
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    • 2018
  • The healthcare business is growing as a global core business because of the phenomenon of global aging, as well as in South Korea, skyrocketing health care costs accordingly, and changing the paradigm from treatment to the prevention-centered medical service. Especially, as the digital healthcare service stands out as a solution, major countries actively promote and support policies at the government level. Thus, this study will present attributes of a market-oriented service that would vitalize the digital healthcare service industry by investigating major attributes of the digital healthcare service. To analyze the relationships of the influences of attributes, this study used Interpretive Structural Modeling. As a result of literature research and ISM, this study can understand the eight basic attributes of the digital healthcare service (network scalability, context awareness, connection among information platforms, cost, trust, security, ease of use, usefulness) and analyze the relationships of the influences among the attributes. In addition, as this study finds some significant differences in Order Winner and Order Qualifier between the experts' group (security) and the users' group (trust, ease of use, usefulness), It provides meaningful implications for revitalization and promotion of digital healthcare service industry.

A study on security independent behavior in social game using expanded health belief model (건강신념모델을 확장한 소셜게임(Social Game) 보안의지행동에 관한 연구)

  • Ahn, Ho-Jeong;Kim, Sung-Jun;Kwon, Do-Soon
    • Management & Information Systems Review
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    • v.35 no.2
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    • pp.99-118
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    • 2016
  • With the development of Internet and popularization of smartphones over recent years, social network services are experiencing rapid growth. On top of this, smartphone gaming market is showing a rapid growth and the use of mobile social games is on the significant rise. The occurrence of game data manipulation targeting these services and personal information leakage is highlighting the importance of social gaming security. This study is intended to propose development plans effective and efficient in social game services by figuring out factors putting effects on security dependent behavior of social game users in Korea and carrying out a practical study on the casual relationship between factors influencing security dependent behavior through recognized behavioral control and attitudes for privacy infringement of these factors. To do this, proposed was a study model in which the HBM(Health Belief Model) allowing the social game user to influence security dependent behavior was expanded and applied as a major variable. To verify the study model of this study practically, a survey was conducted among university students in Seoul-based K University and S University who had experienced using social game services. According to the study findings, firstly, the perceived seriousness turned out to provide positive influence to trust. But, the perceived seriousness turned out not to put positive effects on self-efficacy. Secondly, the perceived probability turned out not to put positive effects on self-efficacy and trust. Thirdly, the perceived gain turned out to put positive effects on self-efficacy and trust. Fourthly, the perceived disorder turned out not to put positive effects on self-efficacy and trust. Fifthly, self-efficacy turned out to put positive effects on trust. But, self-efficacy turned out not to put positive effects on security dependent behavior. Sixthly, trust turned out not to put positive effects on security dependent behavior. This study is intended to make a strategic proposal so that social game users can raise awareness of their level of security perception and security willingness through this.

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Design to Improve Educational Competency Using ChatGPT

  • Choong Hyong LEE
    • International Journal of Internet, Broadcasting and Communication
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    • v.16 no.1
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    • pp.182-190
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    • 2024
  • Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia self-reliant courses.

A Machine Learning Univariate Time series Model for Forecasting COVID-19 Confirmed Cases: A Pilot Study in Botswana

  • Mphale, Ofaletse;Okike, Ezekiel U;Rafifing, Neo
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.225-233
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    • 2022
  • The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

Context categorization of physiological signal for protecting user's privacy (사생활 보호를 위한 생체 신호기반 컨택스트 분석 및 구분기법)

  • Choi, Ah-Young;Rashid, Umar;Woo, Woon-Tack
    • 한국HCI학회:학술대회논문집
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    • 2006.02a
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    • pp.960-965
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    • 2006
  • Privacy and security are latent problems in pervasive healthcare system. For the sake of protecting health monitoring information, it is necessary to classify and categorize the various contexts in terms of obfuscation. In this paper, we propose the physiological context categorization and specification methodology by exploiting data fusion network for automatic context alignment. In addition, we introduce the methodologies for making various level of physiological context on the context aware application model, which is wear-UCAM. This physiological context has several layers of context according to the level of abstraction such as user-friendly level or parametric level. This mechanism facilitates a user to restrict access to his/her monitoring results based on the level of details in context.

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Analysis of E-Waste Disposal Trends in a Security Perspective (보안관점의 전자폐기물 처리동향 분석 연구)

  • Juno Lee;Yuna Han;Yeji Choi;Yurim Choi;Hangbae Chang
    • Journal of Platform Technology
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    • v.11 no.6
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    • pp.56-67
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    • 2023
  • The increased demand for electronic components, spurred by the Fourth Industrial Revolution and the COVID-19 pandemic, has facilitated human life but also escalated the production of e-waste. Discussions on the impact of e-waste have primarily revolved around environmental, health, and social issues, with global legislations focusing on addressing these concerns. However, e-waste poses unique security risks, such as potential technological and personal information leaks, unlike conventional waste. Current discourse on e-waste security is notably insufficient. This study aims to empirically analyze the relatively overlooked trends in e-waste security, employing three methodologies. Firstly, it assesses the general trend in discussions on e-waste by analyzing year-wise documents and media reports. Secondly, it identifies key trends in e-waste security by examining documents on the subject. Thirdly, the study reviews national security guidelines related to e-waste disposal to assess the necessity of designing security strategies for e-waste management. This research is significant as it is one of the first in korea to address e-waste from a security perspective and offers a multi-dimensional analysis of e-waste security trends. The findings are expected to enhance domestic awareness of e-waste and its security issues, providing an opportunity for proactive response to these security risks.

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Study on Measures to Improve Fresh Food Sales at Military Commissaries (PX)

  • Kim, Saehoon;Lee, Hwansoo
    • Agribusiness and Information Management
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    • v.10 no.2
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    • pp.18-27
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    • 2018
  • This study aims to confirm the appropriateness of fruit and vegetable sales at military commissaries, with the purpose of enhancing the physical health and morale of military personnel. In order to achieve this objective, we examined the actual conditions of fruit and vegetable sales at military commissaries and analyzed the soldiers' awareness of fruit and vegetable sales through questionnaire surveys. The conclusions of this study are as follows: Firstly, fresh fruits and vegetables were not sold at military commissaries. Secondly, soldiers acknowledged the need for the consumption of fruits and vegetables and strongly expressed the desire for these fresh food products to be sold at military commissaries. Although the ROK Navy privatized military commissaries for the purposes of increasing management efficiency of national defense and strengthening combat power by transferring PX salesclerk soldiers to join combat personnel, this effort produced a negative effect of price increase. The following are proposals for improving this condition: fruit and vegetable products should be introduced to military commissaries through military welfare funds; fresh food markets should be established by closely cooperating with the local community's agricultural producers; processed fruit and vegetable product (dry, frozen, airtight packaged, etc.) sales should be increased; and the privatization of the navy commissaries should be abolished.

Study on the Factors Affecting the Intention to Share Electronic Medical Records (전자의무기록 공유 의도에 영향을 미치는 요인 연구)

  • Young Eun Kim;Jee Yeon Lee
    • Journal of the Korean Society for information Management
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    • v.41 no.1
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    • pp.283-311
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    • 2024
  • This study examined the factors affecting the intention of the public to share electronic medical records(EMR) based on the theory of reasoned action and the privacy calculus model. It also investigated whether the purpose of EMR sharing varies depending on personal characteristics, such as the degree of interest in health and personal medical history. According to an online survey of 145 people, altruistic enjoyment, awareness of personal information protection, recognition of legal and institutional roles, and interest in health had a positive impact on the level of EMR sharing, and trust in hospitals positively adjusted the relationship between recognition of legal and institutional roles and sharing intentions. Accordingly, we confirmed that the public recognized the role of the government and hospitals in the sharing process as necessary. The public interest benefits of sharing are critical to activating public participation in the sharing of EMR, and it is also essential to prepare guidelines that legally guarantee the security and proper use of EMR.