• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.21-33
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• 1999

This study was designed to develop a basic plan for computerization of nursing records. The subjects were 7 nursing record forms, 58 charts, 23 nurses, 2 nurse managers, a nurse and computer specialist, 16 master course students and 3 professors. Data collection was conducted through questionnaire, observation and interview. The collected data were analyzed for problems, plan of improvement and needs for computerization. Based upon these results, it is recommended that nursing record computerization was needed a basic plan to integrate needs of nursing record computerization. The basic plan as fellows : 1. To illustrate a data flow path of nursing record and data dictionary that show nurse's work and record process. 2. To establish a system in order to use multi -tasking and graphic user interface. 3. To establish hardware and software in order to embody integrated management of computer based system through structured walkthrough. 4. To choose effective database management system and to achieve Log as record unit.

• International Journal of Internet, Broadcasting and Communication
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• v.9 no.3
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• pp.17-26
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• 2017

An anti-forensic data hiding method in an NTFS index record is a method designed for anti-forensics, which records data as a file name in index entries and thereafter the index entries are made to remain in the intentionally generated slack area in a 4KB-sized index record[7]. In this paper, we propose a maximum data allocation rule for an anti-forensic data hiding method in an NTFS index record; i.e., a computational method for storing optimal data to hide data in an index record of NTFS is developed and the optimal solution is obtained by applying the method. We confirm that the result of analyzing the case where the number of index entries n = 7 is the maximum case, and show the screen captures of index entries as experimental results.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.4
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• pp.177-200
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• 2017

In a new technological environment such as big data and AI, LOD will link record information resources with various data from both inside and outside. At the heart of this connection is the interlinking technology, and interlinked LOD will realize the opening of record information as the highest level of open data. Given the ever-increasing amount of records, automation through interlinking algorithms is essential in building LODs. Therefore, this paper analyzed the structure of record information interlinking with the external data and characteristics of the record information to be considered when interconnecting. After collecting samples from the CAMS data of the National Archives, we constructed a record information's LOD. After that, we conducted a test bed that automatically interlinks the personal information of the record metadata with DBPedia. This confirms the automatic interlinking process and the performance and accuracy of the automation technology. Through the implications of the testbed, we have identified the considerations of the record information resources of the LOD interlinking process.

• Journal of the Korean Data and Information Science Society
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• v.28 no.5
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• pp.1205-1215
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• 2017

In this paper, we aim to estimate two scale-parameters of exponentiated Pareto distribution (EPD) based on lower record values. Record values arise naturally in many real life applications involving data relating to weather, sport, economics and life testing studies. We calculate the Bayesian estimators for the two parameters of EPD based on lower record values. The Bayes estimators of two parameters for the EPD with lower record values under the squared error loss (SEL), linex loss (LL) and entropy loss (EL) functions are provided. Lindley's approximate method is used to compute these estimators. We compare the Bayesian estimators in the sense of the bias and root mean squared estimates (RMSE).

• Journal of Auto-vehicle Safety Association
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• v.12 no.4
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• pp.39-47
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• 2020

In this study, crash situations of representative bus crash types were elicited by analyzing a total of 1,416 bus repair record which were collected in 2018~2019. K-means clustering was used as a methodology for this study. Bus repair record contain the information of repair term, type of bus operation, responsibility of accident, weather condition, road surface condition, type of accident, other party, type of road and type of location for each data. Also, by checking collision parts of each bus repair record, each record was classified by types of collision regions. From this, 760 record are classified to frontal type, 363 record are classified to middle-frontal type, 374 record are classified to middle-rear type and 331 record are classified to rear type. As mentioned, k-means clustering was performed on each type of collision parts. As a result, this study analyzed the severity of bus crash based on actual bus accident data which are based on bus repair record not the crash data from the TAAS. Also, this study presented crash situation of representative bus crash types. It is expected that this study can be expanded to analyzing hydrogen bus crash and defining indicators of hydrogen bus safety.

• 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.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.293-302
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• 2013

So far, DW(data warehouse) of hospital has been used as tool for analyzing patient-focused data. However, EMR(Electronic Medical Record) is established these days, so informal data which is record and video record could be useful to get some information for patient remedy, not as DW data. This study claims that need of establishing treatment-focused DW, not for hospital administration-focused DW which has been used lots of hospital DW. Also we discussed how CDW can be applied for real medication situation. At last, we deduct a relation past record of sick and wounded patient as Thesaurus searching method by real hospital data for establishing base of early-treatment system.

• Journal of Integrative Natural Science
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• v.17 no.3
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• pp.105-112
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• 2024

In the present age of artificial intelligence and metaverse, research on the importance of data and the amount of data is actively being conducted. Among these data, medical data contains the most sensitive information of individuals, so research on data generation, storage, management, and disposal is urgently needed. This study analyzed the status of medical data management in the United States, Europe, and Korea, and identified and analyzed medical data management laws and implementation status through working-level staff working in medical sites. As a result of the analysis, about 70% of medical professionals were able to identify the absence of recognition and management of medical data. The survey subjects were limited to Gwangju and Jeollanam-do, and 237 medical workers were conducted. More than 54% of the awareness of medical record generation, storage, and management came out, but about 70% of the occupations except doctors, oriental doctors, and dentists did not recognize the medical record management method. As necessary for medical record management, cost and the need for professional managers were 91.4%. Through this study, it was confirmed that the expansion of legal education for medical workers, the enactment of related laws, and the need for sincere fostering of medical record managers were required.

• Quality Improvement in Health Care
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• v.7 no.1
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• pp.106-116
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• 2000

Background : Severance Hospital is an university hospital which has 1,580 beds. A LAN system was installed in the Medical Record Department in 1992 and discharge abstract data have been added to the discharge abstract database(DB) The previous work flow in the Medical Record Department had 5 levels: 1) chart collection from wards, 2) assembling, 3) abstracting data from medical record on worksheet by 2 RRAs, 4) checking deficiencies and coding diagnosis and procedures by 4 RRAs, 5) inputting the data into the discharge abstract data base by 1 RRA. The average processing time took 19.3 days from the patient discharge date. It had the production of monthly statistical report delayed. Besides, it caused the users in the hospital to complain. Methods : A CQI team was organized to find a way to shorten the processing time less than 10 days. The team identified the factors making the processing time long and integrated three levels from the 3rd level into one. Each of 7 RRAs performed the integrated level on her workstation instead of taking one of three separate levels. The comparison of processing time before and after the changes was made with 3'846 discharges of April, 1999 and 4,189 discharges of August, 1999. Results : The average processing time was shortened from 19.3 days to 8.7 days. Especially the integrated level took only 3.6 days, compared with 12.3 days before the change. The percentage of finishing up the whole processing within 10 days from discharge was increased up to 77.6%, which was 2.4% before the integration. The prevalence of error in data input was not increased in the new method. Conclusions : The integrated processing method has the following advantages: 1) the expedition of production of monthly statistical report, 2) the increase of utilizing rate of dischare abstract data by Billing Dept, Emergency Room, QI Dept., etc., 3) the improvement of intradepartmental work follow, 4) the enhancement of medical record quality by checking the deficiencies earlier than before.

• The Journal of Korean Academic Society of Nursing Education
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• v.27 no.2
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• pp.152-162
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• 2021

Purpose: The purpose of this study was to examine the effect of nursing record education on the knowledge and performance of nursing record of nurses at small- and medium-sized hospitals. Methods: The participants were 62 nurses working in two small- and medium-sized hospitals. Thirty-two nurses comprised the experimental group, and 30 nurses comprised the control group. Nursing record education was provided for the experimental group. Data were analyzed by x²-test and t-test analysis using the IBM SPSS statistics 25.0 Program. Results: After education, the knowledge (t=2.43, p=.019), performance (t=2.19, p=.033) and behavior scores (t=2.42, p=.018) on nursing record were significantly higher in the experimental group than in the control group. Based on this result, nursing record education is an effective intervention to improve nurses' knowledge and performance in writing nursing records in small- and medium-sized hospitals. Conclusion: We suggest the development of a systematic and standardized education program on nursing record including its legal aspects, for nurses in small- and medium-sized hospitals. The results of this study can be used as basic data for developing a nursing record education program for small- and medium-sized hospitals.