• Proceedings of the KOSOMBE Conference
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• v.1997 no.05
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• pp.195-198
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• 1997

A medical information management system for small to medium sized clinics and hospitals is developed. The system is designed to process, analyze and manage each patient's clinical record using database technique. The structure of the database was determined and implemented through careful and rigorous study of medical practices in Korea and, therefore, reflects the needs of information management in Korean medical community. Furthermore, a sophisticated inference engine that can deduce possible diseases from the result of medical examination is added to the system to provide doctors with a guideline in medical diagnoses.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.377-386
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• 2017

This study has developed a medical information management educational program that can improve the management ability of medical information. The educational medical information management program was developed for 8mnths uing VB. The database utilized the ACCESS Database, which allows learners to easily understand and understand the structure of the data. The learners enter data in the discharge analysis and the cancer registration program and the incomplete program after analyze the medical records. After entering and saving data, medical information management programs can be used to understand and analyze the structure of the database to generate medical information. The educational programs can improve the ability of learners to manage medical information by extracting the necessary data from the database directly through SQL and creating various medical information. However, although the medical information management program is an educational program, there is no evaluation system for the learners program operation. Accordingly, the next studies should develop the assessment system of the medical information management program for learners evaluation.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.251-258
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• 2012

The protection of medical information by major Issues on medical information to protect the individuals' privacy on medical information. Especially, Issues of medical service information, medical record, insurance, employment, Genetic technology including genetic test and screening, gene therapy and genetic enhancement is developing rapidly. Defensibility of medical information documentation is tested in the courts. medical information can be illicitly accessed from anywhere and transmitted across the quickly and with risk of detection. Once data is distributed on the internet, it may become available to anyone who wishes to purchase it, and it cannot be expunge. Patient privacy protection of medical information is controlled mostly by patient consent laws that define how and when a patient must consent before a physician may disclose the patient's medical information to anyone else. enterprise that offers consumers commodities or services is checking problem about customer information of management system is checking problem about customer information of management system essentially. Therefore, in this paper will find a way out to Protection of medical information by major Issues on medical information.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.255-262
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• 2013

Medical Gateway(MG), that integrates medical devices with its unique data format in various hospital information systems, provides effectiveness in the cost of the management unlike existing systems that uses PC as a gateway to hospital information systems because MG enables to interface medical devices with itself. However, in spite of using MG for integrating medical devices, we need additional programs or systems to interwork with EMR system of each hospital in accordance with the configuration of DB. In this paper, we design and implement the format of medical information and server system for interworking MG with EMR system. The proposed system makes easy exchanging medical data between MG and EMR system. Thus, the proposed system can contribute to a national project to export abroad advanced hospital setup converged with IT.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.197-206
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• 2009

The medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image classification and retrieval system is necessary. The medical image classification and retrieval system can improve efficiency in a medical diagnosis by providing disease-related images and can be useful in various medical practices by checking diverse cases. However, it is difficult to understand the meanings contained in images because the existing image classification and retrieval system has handled superficial information only. Therefore, a medical image classification system which can classify medical images by analyzing the relation among the elements of the image as well as the superficial information has been required. In this paper, we propose the method for learning and classification of brain MRI, in which the superficial information as well as the spatial information extracted from images are used. The superficial information of images, which is color, shape, etc., is called low-level image information and the logical information of the image is called high-level image information. In extracting both low-level and high-level image information in this paper, the anatomical names and structure of the brain have been used. The low-level information is used to give an anatomical name in brain images and the high-level image information is extracted by analyzing the relation among the anatomical parts. Each information is used in learning and classification. In an experiment, the MRI of the brain including disease have been used.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.3
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• pp.43-48
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• 2007

The medical imaging processing area with the development of high-speed Internet and the portable embedded system under prevailed ubiquitous environment is quick in research and development for the system that can search and decipher the patient's information in anytime and anywhere. Especially, the new applications demand utilizing scout images besides diagnostic purposes. With the development of ubiquitous system, medical image viewers are utilizing to the hospitals combined with PACS system and Web browser. This paper implements the mobile terminal based medical image viewing system that shows the potential in wireless environment.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.140-145
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• 2019

With the development of IT technology, many changes are taking place in the health service environment over the past. However, even if medical technology is converged with IT technology, the problem of medical costs and management of health services are still one of the things that needs to be addressed. In this paper, we propose a model for hospitals that have established the IoT system to efficiently analyze and manage the personal information of users who receive medical services. The proposed model aims to efficiently check and manage users' medical information through an in-house IoT system. The proposed model can be used in a variety of heterogeneous cloud environments, and users' medical information can be managed efficiently and quickly without additional human and physical resources. In particular, because users' medical information collected in the proposed model is stored on servers through the IoT gateway, medical staff can analyze users' medical information accurately regardless of time and place. As a result of performance evaluation, the proposed model achieved 19.6% improvement in the efficiency of health care services for occupational health care staff over traditional medical system models that did not use the IoT system, and 22.1% improvement in post-health care for users who received medical services. In addition, the burden on medical staff was 17.6 percent lower on average than the existing medical system models.

• Journal of the Korea Convergence Society
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• v.3 no.2
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• pp.13-17
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• 2012

An integrated medical information system should be equipped for the activation of u-healthcare service. In addition, the integrated medical information system should be based on an authentication system to be implemented in a safe environment. However, several requirements are being developed yet. In this paper, biometric authentication system will be designed and proposed for u-healthcare services for the integrated medical information system to go one step further.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6B
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• pp.962-969
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• 2010

Recently, RFID technology can successfully be used to reduce medical errors. This technology can aid in the accurate matching of patients with their medications and treatments. The enthusiasm for using RFID technology in medical settings has been tempered by privacy concerns. In this paper, we propose a secure and efficient RFID authentication system to not only authenticate patients' authenticity but also protect patients' personal medical informations. The proposed system consists of RFID-based patient authentication protocol and database security protocol. As a result, since the proposed RFID authentication system provides strong security and efficiency, it can be used practically for patient authentication and personal medical information protection on the high technology medical environments such as u-Hospital and u-Healthcare.

• Journal of the Korean Data and Information Science Society
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• v.14 no.4
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• pp.817-824
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• 2003

We employed a hierarchical document classification method to classify a massive collection of electronic medical records(EMR) written in both Korean and English. Our experimental system has been learned from 5,000 records of EMR text data and predicted a newly given set of EMR text data over 68% correctly. We expect the accuracy rate can be improved greatly provided a dictionary of medical terms or a suitable medical thesaurus. The classification system might play a key role in some clinical decision support systems and various interpretation systems for clinical data.