• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.106-107
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• 1998

To minimize the failure rate of medical devices, the maintenance records for general X-ray, R/F X-ray, mobile X-ray, artificial dialyzer, ventilator, and automatic chemistry analyzer was analysed with regard to the cause of the failure. The parts responsible for the most frequent system failure was then worked intensively during the preventive maintenance. After this procedure, the faliure of the systems in a month decreased from 1.8 on average to 0.3.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.5
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• pp.1484-1502
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• 2023

The medical sector actively changes and implements innovative features in response to technical development and revolutions. Many of the most crucial elements in IoT-connected health services are safeguarding critical patient records from prospective attackers. As a result, BlockChain (BC) is gaining traction in the business sector owing to its large implementations. As a result, BC can efficiently handle everyday life activities as a distributed and decentralized technology. Compared to other industries, the medical sector is one of the most prominent areas where the BC network might be valuable. It generates a wide range of possibilities and probabilities in existing medical institutions. So, throughout this study, we address BC technology's widespread application and influence in modern medical systems, focusing on the critical requirements for such systems, such as trustworthiness, security, and safety. Furthermore, we built the shared ledger for blockchain-based healthcare providers for patient information, contractual between several other parties. The study's findings demonstrate the usefulness of BC technology in IoHT for keeping patient health data. The BDSA-IoHT eliminates 2.01 seconds of service delay and 1.9 seconds of processing time, enhancing efficiency by nearly 30%.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.501-510
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• 2011

Most of electronic medical record systems which have been built in Korean hospitals are based on source oriented medical record approach. These systems hardly satisfy diverse objectives owing to the innate imperfections in system architecture and development methodology. Thus, the hybrid of source oriented and problem oriented approach is highly desirable. The purpose of this study is to present an architecture and methodology required to construct hybrid electronic medical record system and to develop a prototype based on them. Analyzing the clinical processes and data requirements of problem oriented medical record approach we developed a software process model as weel as an architecture model which consists of legacy system, clinical data repository, problem list database, prospective plan database, user interface, and synchronization procedures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.685-703
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• 2024

Cloud computing provides each consumer with a large-scale computing tool. Different Cyber Attacks can potentially target cloud computing systems, as most cloud computing systems offer services to many people who are not known to be trustworthy. Therefore, to protect that Virtual Machine from threats, a cloud computing system must incorporate some security monitoring framework. There is a tradeoff between the security level of the security system and the performance of the system in this scenario. If strong security is needed, then the service of stronger security using more rules or patterns is provided, since it needs much more computing resources. A new way of security system is introduced in this work in cloud environments to the VM on account of resources allocated to customers are ease. The main spike of Fog computing is part of the cloud server's work in the ongoing study tells the step-by-step cloud server to change the tremendous measurement of information because the endeavor apps are relocated to the cloud to keep the framework cost. The cloud server is devouring and changing a huge measure of information step by step to reduce complications. The Medical Data Health-Care (MDHC) records are stored in Cloud datacenters and Fog layer based on the guard intensity and the key is provoked for ingress the file. The monitoring center sustains the Activity Log, Risk Table, and Health Records. Cloud computing and Fog computing were combined in this paper to review data movement and safe information about MDHC.

• The Journal of Korean Medical History
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• v.33 no.1
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• pp.21-30
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• 2020

'Medical officials of State Council' (議政府藥房) (MOSC) were bureaucrats who was part of a State Council and provided regular medical care to the State Council's bureaucracy. The Manual for Medical Officials of State Council (議政府藥房式例) (MMOSC) is a rare resource that records the actual work of the MOSC in the 19th century. This paper examines the changing history of the title of 'medical official' (藥房, yakbang) in the Joseon Dynasty and analyzes the role of MOSC by examining the contents of MMOSC. It argues: 1) The MOSC system was established before other similar medical office systems. Subsequently, the Medical Office of Ritual Minister (禮曹藥房) and Medical Office of Patriots and Veterans Minister (忠勳府藥房) were established, followed by Medical Office of General Office (都總府藥房) and Medical Office of Managing Royal Family (宗親府藥房). 2) The MMOSC was first written in 1812 and was augmented in 1832 and 1840. This timeline can be verified through written seal at the end of the literature. 3) In addition to the medicine-related work, the medical office also did the administrative work of the government office.

• The Journal of Industrial Distribution & Business
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• v.9 no.9
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• pp.35-44
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• 2018

Purpose - In endless competition, companies pursue cost reduction and work efficiency. So, entrepreneurs try to increase job intensity, which may lead to job stress and high turnovers because of job burnout. But, Information systems are acknowledged as a work support tool that secures work convenience and the productivity of employees. In this study, we aimed to confirm the effects of information systems in reduing the work overload of employees in a human resource intensive industry. Research design, data and methodology - This is based on the job demands-resources model, conducting an empirical analysis of surveys given to hospital employees working in a human resource intensive industry. Results - The research revealed that information systems reduced the work overload of employees in a human resource intensive industry. Conclusion - This study confirmed the effects of information systems as a job resource based on JD-R theory, and presentation of empirical results indicated that information systems alleviate employee job overload and increases job satisfaction in the medical services industry. In the medical services industry, using electronic health record system decreases in work overload, which results in employees gaining time for self-development and time management, reducing job stress, and leading to job satisfaction.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.947-971
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• 2022

The Electronic Medical Record (EMR) is a valuable source of medical data intelligence in e-health systems. The watermarking techniques have been used to authenticate the owner and protect the EMR from illegal copying. The existing distributive strategies, successfully operated to secure the EMR, are found to be inadequate. Blockchain technology, mainly, is employed by a sharing database that allows the digital crypto-currency. It rapidly leads to the magnified expectations acme. In this excitement, the use of consortium adopting the technology based on Blockchain, in the EMR structure, is found improving. This type of consortium adds an immutable share with a translucent record of the entire business and it is accomplished with responsibility, along with faith and transparency. The combination of watermarking and Blockchain technology provides a singular chance to promote a secured, trustworthy electronic documents administration to share with the e-records system. The authors, in this article, present their views on consortium Blockchain technology which is incorporated in the EMR system. The ledger, used for the distribution of the block structure, has team healthcare models based on dissimilar multiple image watermarking techniques.

• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5541-5554
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• 2018

A voice is one of the most significant non-verbal elements for communication. Disorders in vocal organs, or habitual muscular setting for articulatory cause vocal disorders. Therefore, by analyzing the vocal disorders, it is possible to predicate vocal diseases. In this paper, a method of predicting vocal disorders using the jitter, shimmer, and harmonics-to-noise ratio (HNR) extracted from vocal records is proposed. In order to extract jitter, shimmer, and HNR, one-second's voice signals are recorded in 44.1khz. In an experiment, 151 voice records are collected. The collected data set is clustered using cobweb clustering method. 21 classes with 12 leaves are resulted from the data set. According to the semantics of jitter, shimmer, and HNR, the class whose centroid has lowest jitter and shimmer, and highest HNR becomes the normal vocal group. The risk of vocal disorders can be predicted by measuring the distance and direction between the centroids.

• Asia pacific journal of information systems
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• v.28 no.3
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• pp.154-166
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• 2018

As the number of online privacy incidents are increasing, lawsuits related with personal information infringements have been also growing as well. However, there are large differences between a plaintiff and a defendant to determine the amount of payment for damages from the incident. After the verdict was made, a plaintiff is not satisfied with the amount of compensation, whereas a defendant usually tries to their best to reduce the payment amount. This is because the value for personal information are hardly assessed exactly. In addition, there is no criteria for calculating the price of the information itself. Since the development of information technology enables the firms could collect and use any piece of information to identify a particular individual, the range of personal information has been also broadening. Based on these phenomenon, this study tries to grouping the types of personal information and exploring the perceived value of types of information. Therefore, this study could provide a foundation for narrowing the gap of the value of personal information between the firm and the defendant. Through AHP (Analytic Hierarchy Process), this study finds out that people usually value more on biometrics information, medical records, and criminal records whereas weigh less for email address and date of birth.