• Journal of IKEEE
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• v.19 no.4
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• pp.548-556
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• 2015

When the variety of personal health services are provided in the ICBM(IoT, Cloud, Bigdata, and Mobile) environment, the security requirements of personal health service(PHS) including privacy issues is proposed in this paper. Because it is expected that the services related to personal health are provided in the cloud environment, the security requirements of a cloud environment is firstly investigated and then security threats including direct and indirect threats in a cloud environment are analyzed in terms of the security of PHS. In addition, the security requirements of PHS is developed based on the security requirements of electronic medical record(EMR) for medical service in this paper, then the validity of the proposed security requirements is shown by the relation between security requirements of cloud environment and PHS to indicate that a security requriement is supported by several security requirements of PHS.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.3
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• pp.55-76
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• 2020

Although most medical institutions in Korea use electronic medical records (EMR), there are many problems in the management and preservation of records when such medical institutions are closed. Records of closed medical institutions need to be systematically managed; however, the rate of closed medical institutions transferring records to public health centers is significantly low. Given that each medical institution has a different system and format, public health centers often cannot access records. In addition, there are no management standards that suit the reality of public health centers and the specificity of EMR. Recently, a strengthened Medical Law has been passed wherein records of closed medical institutions should be kept by health centers; therefore, this study focused on drawing up measures for efficient records management by public health centers. To this end, the relevant laws and management status were identified and an interview was conducted. After analyzing the problems, improvement plans in institutional, technical, and administrative aspects were proposed.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.3
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• pp.250-261
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• 2020

Today, data subjects should be considered to utilize various personal data. To support this paradigm, the concept of "My Data" has proposed and has realized in various industrial sectors, including medial sectors. Based on the concept of the medical My Data, this paper proposes a personal health record (PHR) and an electronic medical record (EMR) data trading model. Particularly, this paper proposes a system model to support the medical My Data environment and relevant procedure among stakeholders for PHR/EMR data trading that ensures the rights of data subjects. Based on the proposed system model, this paper also proposes various mathematical models to analyze the behavior of stakeholders and shows the feasibility of the proposed data trading model that satisfies the requirements of both data subjects and data consumers.

• Quality Improvement in Health Care
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• v.18 no.1
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• pp.37-55
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• 2012

Objectives : This study was conducted to evaluate the effect of fixed critical pathway with emr (electronic medical record) on the length of hospital stay, the cost and quality of care provided to gastrectomy patients in a university hospital and to develop flexible critical pathway with emr which can be used excluded or drop-out patients. Methods : Thirty-eight patients with gastrectomy were included as case group and Thirty-four patients included as control group. The comparison between control and case with using fixed critical pathway were done. To develop and to evaluate usefulness of flexible critical pathway with flexible data base, simulation was done for flexible critical pathway with drop-out patients. Result : The major results of this study were as follows: There were no significant differences in patient clinical conditions and no sign of deterioration of quality from critical pathway. The length of hospital stay was 11 days in control group, 8 days in path group(P<0.01). The total costs during the hospital stay were reduced in path group. However the cost per day was significantly increased from reduction of hospital stay(554,352 won in control, 645,669 won in path group). One hundred percentage of drop out patients(60) in the simulation of flexible critical pathway was successful. Conclusion : Computerized critical pathway reduced the length of hospital stay, total hospital costs and resource utilization without harming quality of patient care. The flexible critical pathway program can be used as one of the powerful management tools for reducing the practice variations and increasing the efficiency of care process and decreasing the workload of doctors and nurses in Korean hospital settings.

• Quality Improvement in Health Care
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• v.14 no.2
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• pp.125-132
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• 2008

Background : The number of outpatient injected anticancer drug is increasing. and the pathway of prescribing, compounding, and injecting anticancer drug is processed very rapidly in out-patient department. Moreover, Dose of anticancer drug is often changed depending on side effect of patients. So we need more effective inspection of anticancer drug prescriptions. The purpose of this study was to analyze the prescription errors for anticancer drugs in Out-Patient Department and to suggest system to prevent them. Method : The study took place at Asan Medical Center from July to September 2007. The pharmacists performed inspection of anticancer drug prescriptions before compounding and injecting. We used protocol-based anticancer drug order program and Electronic Medical Record (EMR). Result : During the study period, we analyzed 4683 prescriptions for out-patient. And we detected 55 medication errors (1.2%). Most common errors included dosage above or below the correct ones (56.3%), followed by incorrect treatment duration. Because most of dosing errors were in the range of usual dosage, it was hard to detect them. So when inspecting the prescription, we considered the medical records of individual patients. As a result, we could raise the efficiency of intervention. Therefore inspection using EMR could possibly reduce the number of anticancer drug errors. Conclusion : we are preventing the medication errors on stability and dosage above or below the maximum therapeutic dose according to the previous inspection system. However most of dosing errors were in the range of usual dosage according to the result of this study. Because of there was interpatient variability of dosage depending adverse effect. For improvement of quality assurance, we suggest inspection system based on patient's medical history.

• Journal of the Institute of Convergence Signal Processing
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• v.11 no.4
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• pp.303-309
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• 2010

We proposes a new approach for testing the self visual-acuity by using the KS standard optotype. The proposed system provides their hand-gesture recognition method for the convenient response of subjects in the visual acuity measurement. Also, this system can measure a visual-acuity that excludes the examiner's subjective judgement or the subject's memorized guess, because of presenting a random optotype automatically by computer without a examiner. Especially, Our system guarantees the reliability by using the KS standard optotype and its presentation(KS P ISO 8596), which is defined by the Korea Standards Association in 2006. And the database management function of our system can provide the visual-acuity data to the EMR client easily. As a result, Our system shows the 98% consistency in the limit of the ${\pm}1$ visual-acuity level error by comparing the visual-acuity chart test.

• 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.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.61-72
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• 2012

The purpose of this study was to propose how to improve and develop the college curriculum of medical record administration, satisfying requirements from hospitals having medical record administrators. For the purpose, this researcher surveyed medical record administrators serving at hospitals located in Busan, Changwon, Masan and Jinju. Finally analyzed were responses from 100 medical recorders. The frequency of searching medical records to support information use was statistically different among hospitals according to the number of sick beds(p=.041), or $3.16{\pm}1.75$ for fewer than 300 sick beds, $4.28{\pm}2.42$ for 300 to 500 and $4.86{\pm}3.18$ for more than 500. The college course that was regarded as most important by most of the surveyed medical record administrators, or 53(37.2%) was medical terminology, followed by statistics by 36 of the respondents(18.5%) and EMR, 25(12.8%) in order. To make EMR truly effective requires reforming the university curriculum of medical record administration and giving more attention and more supports to training for better computerization, realizing that medical record administrators serve as a true manager of health and medical information, not a person who just paper-based medical information. In addition to managing health and medical information, medical record administrators are expected to have more roles in the future, for example, providing high-quality clinic knowledge and medical information that are necessary for efficient hospital management and medical research to survive competition.

• Journal of the Korea Convergence Society
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• v.12 no.7
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• pp.295-304
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• 2021

This study is a secondary data analysis to investigate the nursing tasks performance, appropriate performer, and job satisfaction in the general wards with sift work. We found that nurses performed direct (45%) and indirect nursing (55%). The workload per shift was 37.2% in the day, 35.6% in the evening, and 27.2% at night. The tasks performed after handover were 'direct nursing (34.5%)' and 'documentation and notification (25.8%)'. Nurses responded that there were some tasks that could be delegated to nursing assistants or had ambiguous boundaries with other medical personnel. There was a significant correlation between compliance to the job description of the night shift and job satisfaction (rs=.43, p=.01). These results imply that it is necessary to establish strategies that will enhance work efficiency based on job analysis by shift work, reduce handover time using EMR system, stmart devices, and clarify appropriate performers.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.175-185
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• 2021

Purpose: Vital sign are used to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. Researchers are using vital sign data and AI(artificial intelligence) to manage a variety of diseases and predict mortality. In order to analyze vital sign data using AI, it is important to select and extract vital sign data suitable for research purposes. Methods: We developed a method to visualize vital sign and early warning scores by processing retrospective vital sign data collected from EMR(electronic medical records) and patient monitoring devices. The vital sign data used for development were obtained using the open EMR big data MIMIC-III and the wearable patient monitoring device(CareTaker). Data processing and visualization were developed using Python. We used the development results with machine learning to process the prediction of mortality in ICU patients. Results: We calculated NEWS(National Early Warning Score) to understand the patient's condition. Vital sign data with different measurement times and frequencies were sampled at equal time intervals, and missing data were interpolated to reconstruct data. The normal and abnormal states of vital sign were visualized as color-coded graphs. Mortality prediction result with processed data and machine learning was AUC of 0.892. Conclusion: This visualization method will help researchers to easily understand a patient's vital sign status over time and extract the necessary data.