• Journal of Korean Medical classics
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• v.19 no.1 s.32
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• pp.155-167
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• 2006

From th Study on A Study on the Thesaurus of Korean medical information for developing search engine, the conclusion is as follow. Knowledge based information system consists of concepts, facts and relation. The final goal of developing the Knowledge based information system is to select, store and control the knowledge and information of Oriental Medicine. Considering limitation of organizing the knowledge system, it is difficult to realize complete basic system and application method. In order to work, it is necessary to combine experts in each part, for example Domain experts, Information and Knowledge engineer. Through the development of knowledge based information system, we can construct EMR(Electronic Medical Record) system in the near future, and it is possible to make semi-expert system. To make Knowledge based information system, we need to establish standards of information that make the distribution of Knowledge and information easily.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.1
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• pp.202-208
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• 2006

The goal of this study is to develop knowledge representation method for the construction and evaluation of ontology for diagnosis in oriental medicine. To develop the expert system for decision making on diagnosis and treatment, the systematic and structural knowledge which can be processible in EMR(Electronic Medical Record) must be precedent, and the Computational Process which control the system as well. This study set up an ontology as a trial model to represent the oriental medical knowledge into the machine processible one. Protege 2.1 has been used to build the ontology, and the serialization format of our ontology is the XML document based on OWL. The components of oriental medical diagnosis was arranged with the combination of symptoms which belong to the certain symptom patterns. Then natural language which expresses the oriental medical diagnosis components were converted into the logical sentence, and individual characteristic symptoms into each values of specific properties. In addition to the study, the diagnosis software for oriental medicine was developed and it used the ontology which we developed. Sequently, we tested the software to confirm the appropriateness of ontology. The result of the test shows that diagnostic questions are automatically formulated according to the diagnosis components of this ontology and that as such diagnostic results are induced. Therefore, the ontology system in this study will be efficient to develop the diagnosis program and useful as a tool for doctors to make decision. But, it is not recommendable to apply the system to the clinical environment until the clear diagnosis standards are introduced, and the more reliable diagnosis program can be developed based on the more appropriate ontology mentioned above.

• Convergence Security Journal
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• v.9 no.2
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• pp.49-58
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• 2009

In medical Institution, Electronic Health Record (EHR) is "must access information" to medical staff considering it as medical information. However, this unnecessary exploration of personal information must be treated confidentially because the information is highly related to other's private concerns. It is necessary that medical workers should be also restricted to their access to EHR depending on their roles and duties. As the result, this article explains that "EHR access control will be executed by differentiating authorized medical staff from non medical-related staff as well as EHR access will be only permitted to authorized medical staff depending on their work status conditions. By using Advanced RBAC model on medical situation, we expect to minimize unnecessary leak of EHR information; especially, emergency medical care is needed, access control is highly required depending on a person in charge of the cases or not, and restricted medical information defined by the patient one-self is only allowed to be accessed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.69-76
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• 2022

This paper proposes a method of refining and processing time-series data using Medical Information Mart for Intensive Care (MIMIC-IV) v2.0 data. In addition, the significance of the processing method was validated through a machine learning-based pressure ulcer early warning system using a dataset processed based on the proposed method. The implemented system alerts medical staff in advance 12 and 24 hours before a lesion occurs. In conjunction with the Electronic Medical Record (EMR) system, it informs the medical staff of the risk of a patient's pressure ulcer development in real-time to support a clinical decision, and further, it enables the efficient allocation of medical resources. Among several machine learning models, the GRU model showed the best performance with AUROC of 0.831 for 12 hours and 0.822 for 24 hours.

• Women's Health Nursing
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• v.17 no.3
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• pp.275-284
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• 2011

Purpose: The purpose of this study was to identify nursing intervention performed by nurses on gynecological nursing units. Methods: The instrument in this study is based on the fifth edition of Nursing Interventions Classification (NIC) (2008). Data was collected by Electronic Medical record from August, 2010 to October, 2010 at one hospital and analyzed by using frequencies in the Microsoft Excel 2010 program. Results: Of a total of 82 NIC, domains of the nursing interventions showed higher percentages for physiological: basic (36.3%) and physiological: complex (34.5%). The classes of nursing interventions showed higher percentage for health system medication (12.1%), perioperative care (10.0%), and drug management (8.6%). The most frequently used top interventions were Discharge Planning. The thirty least used interventions was environmental management. Top thirty most frequently used interventions belonged to the domain of physiological: basic (37.9%), physiological: complex (31.1%), and behavioral (5.4%). Conclusion: These findings will help in the establishment of a standardized language for gynecological nursing units and enhance the quality of nursing care.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.65-72
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• 2016

Personal Health Record(PHR) service can be helpful to patients with diseases requiring strict everyday care and medical treatment, such as diabetes or cancer. In this paper, we propose a PHR system specialized in collecting and analyzing health record data of cancer patients, and present the process of how the system can improve the efficiency of cancer treatment process. Through the smart device application, cancer PHR system obtains daily PHR data which is highly related and critical to cancer therapy. The analysis report is provided to the medical staff with an available format suited for Electronic Medical Record used at medical institution. With the final result of PHR analysis which is easily merged with medical chart, most efficient Chemotherapy treatment can be provided for the patients. Also it is possible for the patients to give the information of side-effect and other pain experience during therapy to their doctors without loss of information. The proposed PHR system has the effect of improving the quality of patient care by allowing the medical staff to acquire the main objective data necessary for drug prescription and medical care benefits.

• The Korean Journal of Health Service Management
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• v.7 no.3
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• pp.213-224
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• 2013

The purpose of this study is to find out the most successful way for the protection of medical information focusing on the electronic medical record(EMR). In this study, every aspect of the EMR is reviewed in terms of the hospital management. In particular, definitions, major functions, strengths and weaknesses of the EMR are considered. This study also examines the general development of the EMR as well as the current situation of applying the EMR. Important issues such as the protection of patient Medical information, informed consent, and the customer-oriented hospital information system are discussed and interpreted in light of the introduction of the EMR into the area of the hospital management. Finally, in this paper Protection of medical information by major Issues on Patient medical information.

• International Journal of Contents
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• v.13 no.2
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• pp.35-43
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• 2017

This study sought to measure the influence of HIMs' work environment changes on job stress, and to explore measures for improving job satisfaction among them. A total of 275 hospital HIMs' were surveyed using a structured questionnaire. Significant job stress impact variables were sorted out using a simple linear regression analysis. Then, through multiple linear regression analysis, multicollinearity was tested. Significant impact factors were identified from among the control variables, and job stress impact was measured. The survey revealed that in public hospitals where the EMR system has been implemented for a longer period, depression scores in HIMs' were increased. HIMs' job stress level was found to be affected by the following factors: computerization of their working environment, experience of depression, unemployment, and manpower reduction, as well as, their lifestyles, including leisure activities. The results of this study suggest that HIMs' job stress can be reduced through work environment improvement and improvement of their personal lifestyle habits.

• Journal of Korean Academy of Nursing
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• v.45 no.4
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• pp.523-532
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• 2015

Purpose: The usability, user satisfaction, and impact of electronic nursing record (ENR) systems were investigated. Methods: This mixed-method research was performed as a time-motion (TM) study and a survey which were carried out at six hospitals between August and November 2013. The TM study involved 108 nurses from medical, surgical, and intensive care units at each hospital, plus an additional 48 nurses who served as nonparticipating observers. In the survey, 1879 volunteer nurses completed the Impact of ENR Systems Scale, the System Usability Scale, and a global satisfaction scale. Qualitative and quantitative analyses were performed. Results: The mean scores for the ENR impact, system usability, and satisfaction were 4.28 (out of 6), 58.62 (out of 100), and 74.31 (out of 100), respectively, and they differed significantly between hospitals (F=43.43, p<.001, F=53.08 and p<.001, and F=29.13 and p<.001, respectively). A workflow fragmentation assessment revealed different patterns of ENR system use among the included hospitals. Three user characteristics-educational background, practice period, and experience of using paper records-significantly affected the system usability and satisfaction scores. Conclusion: The system quality varied widely among the ENR systems. The generally low-to-moderate levels of system usability and user satisfaction suggest many opportunities for improvement.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.299-302
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• 2014

Due to the convergence between digital devices and the development of wireless communication technology, bit-signal sensor miniaturization, building an Electronic Medical Record (EMR) which is a digital version of a paper chart that contains all of a patient's medical history and the information of Electronic Health Record (EHR), Ubiquitous healthcare (u-Healthcare) that can monitor their health status and provide personal healthcare service anytime and anywhere. Also, the appearance of cloud computing technology is one of the factors that accelerate the development of u-healthcare service. However, if the individual information to be used maliciously during the u-healthcare service utilization, leads to serious problems directly related to the individual's life because if it goes beyond the level of simple health screening and treatment, it may not provide accurate and reliable healthcare services. For this reason, we analyzed a variety of security issues related to u-healthcare service in cloud computing environment and described about directions of secure health information sharing system construction. In addition, we suggest the future developmental direction for th activation of u-healthcare industry.