• The Journal of Bigdata
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• v.6 no.2
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• pp.99-108
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• 2021

Recently, unexpected and more advanced cyber medical treat attacks are on the rise. However, in responding to various patterns of cyber medical threat attack, rule-based security methodologies such as physical blocking and replacement of medical devices have the limitations such as lack of the man-power and high cost. As a way to solve the problems, the medical community is also paying attention to artificial intelligence technology that enables security threat detection and prediction by self-learning the past abnormal behaviors. In this study, there has collecting and learning the medical information data from integrated Medical-Information-Systems of the medical center and introduce the research methodology which is to develop the AI-based Net-Working Behavior Adaptive Information data. By doing this study, we will introduce all technological matters of rule-based security programs and discuss strategies to activate artificial intelligence technology in the medical information business with the various restrictions.

• International journal of advanced smart convergence
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• v.4 no.2
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• pp.145-153
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• 2015

Development of IT technology, in combination with the medical area, a number of developments have been made of the digital advanced medical devices, also increased interest in health, sharing of medical information has become increasingly necessary. Standardization for medical information sharing to satisfy these requirements have been studied. However, the medical information system is to build a system independent hospital itself, is difficult to share and exchange medical data with other medical institutions. In this paper, we provide a medical cloud system that can share medical information. Use DBaaS of cloud services. And is an international standard to have a HL7 share information by forming a meta-schema, each of the data transfer, the format of the document oriented data solves the heterogeneity between hospitals. Extracts the required field name of examination information, to exchange information with each of the local information and mapping. Health diagnostic information in the present study and diagnosis through accurate information sharing and exchange is possible ongoing management.

• Journal of Internet Computing and Services
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• v.25 no.5
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• pp.53-65
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• 2024

Currently, artificial intelligence (AI) is being applied in the medical field to collect and analyze data such as personal genetic information, medical information, and lifestyle information. In particular, in the medical imaging field, AI is being applied to the medical imaging field to analyze patients' medical image data and diagnose diseases. Deep learning (DL) of deep neural networks such as CNN and GAN have been introduced to medical image analysis and medical data augmentation to facilitate lesion detection, quantification, and classification. In this paper, we examine AI used in the medical imaging field and review related medical image data acquisition devices, medical information systems for transmitting medical image data, problems with medical image data, and the current status of explainable artificial intelligence (XAI) that has been actively applied recently. In the future, the continuous development of AI and information and communication technology (ICT) is expected to make it easier to analyze medical image data in the medical field, enabling disease diagnosis, prognosis prediction, and improvement of patients' quality of life. In the future, AI medicine is expected to evolve from the existing treatment-centered medical system to personalized healthcare through preemptive diagnosis and prevention.

• 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.

• Asia pacific journal of information systems
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• v.21 no.3
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• pp.71-96
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• 2011

Within the traditional medical delivery system, patients residing in medically vulnerable areas, those with body movement difficulties, and nursing facility residents have had limited access to good healthcare services. However, Information and Communication Technology (ICT) provides us with a convenient and useful means of overcoming distance and time constraints. ICT is integrated with biomedical science and technology in a way that offers a new high-quality medical service. As a result, rapid technological advancement is expected to play a pivotal role bringing about innovation in a wide range of medical service areas, such as medical management, testing, diagnosis, and treatment; offering new and improved healthcare services; and effecting dramatic changes in current medical services. The increase in aging population and chronic diseases has caused an increase in medical expenses. In response to the increasing demand for efficient healthcare services, a telehealth service based on ICT is being emphasized on a global level. Telehealth services have been implemented especially in pilot projects and system development and technological research. With the service about to be implemented in earnest, it is necessary to study its overall acceptance by consumers, which is expected to contribute to the development and activation of a variety of services. In this sense, the study aims at positively examining the structural relationship among the acceptance factors for telehealth services based on the Technology Acceptance Model (TAM). Data were collected by showing audiovisual material on telehealth services to online panels and requesting them to respond to a structured questionnaire sheet, which is known as the information acceleration method. Among the 1,165 adult respondents, 608 valid samples were finally chosen, while the remaining were excluded because of incomplete answers or allotted time overrun. In order to test the reliability and validity of the assessment scale items, we carried out reliability and factor analyses, and in order to explore the causal relation among potential variables, we conducted a structural equation modeling analysis using AMOS 7.0 and SPSS 17.0. The research outcomes are as follows. First, service quality, innovativeness of medical technology, and social influence were shown to affect perceived ease of use and perceived usefulness of the telehealth service, which was statistically significant, and the two factors had a positive impact on willingness to accept the telehealth service. In addition, social influence had a direct, significant effect on intention to use, which is paralleled by the TAM used in previous research on technology acceptance. This shows that the research model proposed in the study effectively explains the acceptance of the telehealth service. Second, the research model reveals that information privacy concerns had a insignificant impact on perceived ease of use of the telehealth service. From this, it can be gathered that the concerns over information protection and security are reduced further due to advancements in information technology compared to the initial period in the information technology industry, and thus the improvement in quality of medical services appeared to ensure that information privacy concerns did not act as a prohibiting factor in the acceptance of the telehealth service. Thus, if other factors have an enormous impact on ease of use and usefulness, concerns over these results in the initial period of technology acceptance may become irrelevant. However, it is clear that users' information privacy concerns, as other studies have revealed, is a major factor affecting technology acceptance. Thus, caution must be exercised while interpreting the result, and further study is required on the issue. Numerous information technologies with outstanding performance and innovativeness often attract few consumers. A revised bill for those urgently in need of telehealth services is about to be approved in the national assembly. As telemedicine is implemented between doctors and patients, a wide range of systems that will improve the quality of healthcare services will be designed. In this sense, the study on the consumer acceptance of telehealth services is meaningful and offers strong academic evidence. Based on the implications, it can be expected to contribute to the activation of telehealth services. Further study is needed to assess the acceptance factors for telehealth services, such as motivation to remain healthy, health care involvement, knowledge on health, and control of health-related behavior, in order to develop unique services according to the categorization of customers based on health factors. In addition, further study may focus on various theoretical cognitive behavior models other than the TAM, such as the health belief model.

• Journal of information and communication convergence engineering
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• v.2 no.3
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• pp.167-171
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• 2004

The evolution of modern imaging modalities, followed by the rapid development of computer technology has introduced many new features in the communication networks used in medical facilities. Since it is very important to keep patient's record accurately, the ability to exchange medical data securely over the communication network is essential for any medical information. In this paper, therefore, we introduce some problems which occur from digitizing medical images such as MRI (Magnetic Resonance Imaging), CT (Computed Tomography), CR(Computed Radiography), etc., and then we propose a authentication mechanism for medical image verification using secret watermark images.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.157-160
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• 2005

PACS is an integrated communication network system which is consists of image acquisition devices, storage archiving units, display stations, computer processors, and database management systems. In medical industry, they have been introduced the medical equipments through PACS systems based on the DICOM standard. In this paper, we have reviewed the performance of JPEG and JPEG2000 used as medical image compression and realized the transmission mode on DICOM standard.

• Journal of Internet of Things and Convergence
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• v.10 no.6
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• pp.1-6
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• 2024

This study discusses the necessity of standardizing patient data using blockchain technology and explores its application methods. Existing medical data management systems have limitations in ensuring patient safety and quality of care due to inefficiencies in information sharing and data distribution across multiple medical institutions. Blockchain, as a decentralized ledger technology, guarantees data integrity and security while granting patients the authority to manage their own medical information. This study proposes an approach that integrates medical information systems with blockchain technology to enhance data interoperability, ensuring secure data sharing and efficient management. By doing so, it aims to improve the quality of healthcare services and explores the potential for applications in various medical fields, including patient history management, medication tracking, and telemedicine.

• Journal of radiological science and technology
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• v.28 no.4
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• pp.317-325
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• 2005

The recent medical treatment guidelines and the development of information technology make hospitals reduce the expense in surrounding environment and it requires improving the quality of medical treatment of the hospital. That is, with the new guidelines and technology, hospital business escapes simple fee calculation and insurance claim center. Moreover, MIS(Medical Information System), PACS(Picture Archiving and Communications System), OCS(Order Communicating System), EMR(Electronic Medical Record), DSS(Decision Support System) are also developing. Medical Information System is evolved toward integration of medical IT and situation si changing with increasing high speed in the ICT convergence. These changes and development of ubiquitous environment require fundamental change of medical information system. Mobile medical information system refers to construct wireless system of hospital which has constructed in existing environment. Through RFID development in existing system, anyone can log on easily to Internet whenever and wherever. RFID is one of the technologies for Automatic Identification and Data Capture(AIDC). It is the core technology to implement Automatic processing system. This paper provides a comprehensive basic review of RFID model in Korea and suggests the evolution direction for further advanced RFID application services. In addition, designed and implemented DB server's agent program and Client program of Mobile application that recognized RFID tag and patient data in the ubiquitous environments. This system implemented medical information system that performed patient data based EMR, HIS, PACS DB environments, and so reduced delay time of requisition, medical treatment, lab.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.37-48
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• 2014

This study was performed to identify effects of hospital selection factors on patient satisfaction and reuse intention. For this purpose, a survey was performed subject to outpatients and inpatients in 10 hospitals located in Busan district from March 7, 2013 to June 21, 2013 and total 447 copies were used as final study data. As results of this study, it was found that among the hospital selection factors of outpatients, internal conditions and medical service gave effects to patient satisfaction and internal conditions, service of medical staffs and medical service gave effects to reuse intention. It was found also that among the hospital selections factors of inpatients, internal conditions, service of medical staffs and medical service gave effects to patient satisfaction and external conditions, internal conditions, service of medical staffs and medical service gave effects to reuse intention. It was suggested that in the effect of patient satisfaction on reuse intention, both inpatients and outpatients gave the effect and thus higher patient satisfaction was related to higher reuse intention. Therefore, instead of hospital-centered medical treatments, hospitals should restructure its medical and service systems that are patient-centered. Also, it is necessary for the hospital managers to recognize that patient satisfaction is an important factor in increasing its profit.