• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.281-289
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• 2013

As the number of clinical trials conducted in Korea increases, the need of the Electronic Data Capture (EDC) system for effective clinical data management is also increased. Recently, the Korea Food and Drug Association published 'Guideline for the Electronic Clinical Trial Data Management and Processing' and it would be the foundation for establishing regulation of electronic clinical data management. In this research, we conducted the survey regarding adoption rate of EDC system in clinical trials in hospitals, Contract Research Organizations (CRO), and pharmaceutical companies. And the perceived importance and the ease of application for the Guideline were investigated. The adoption rates of EDC system was 77.6% but it mostly applied to less than five trials. Also EDC system was mostly used in phase I and phase II trials and the utilization rate of CRO was the highest. The perceived importance for the Guideline was high among all three organizations but, in case of the perceived ease of its application, CRO was the highest. Also, the perceived importance of the clinical data standard was high and the standard for data collection was mostly required. However, the comprehension for the global standard of the electronic data was relatively low, so that education is required. This result would be the foundation to increase the electronic clinical trials and develop proper regulation and principles for clinical data standards in Korea.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_2
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• pp.1083-1090
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• 2022

Since renal cell carcinoma(RCC) has various examination and treatment methods according to clinical stage and histopathological characteristics, it is required to determine accurate and efficient treatment methods in the clinical field. However, the process of collecting and processing RCC medical data is difficult and complex, so there is currently no AI-based clinical decision support system for RCC treatments worldwide. In this study, we propose a clinical decision support system that helps clinicians decide on a precision treatment to each patient. RCC standard big database is built by collecting structured and unstructured data from the standard common data model and electronic medical information system. Based on this, various machine learning classification algorithms are applied to support a better clinical decision making.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.167-173
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• 2019

It is reported that the higher the satisfaction of students' clinical practice, the more the ability to perform their work. It is important to assess student satisfaction with clinical practice. This study is to investigate the satisfaction of occupational therapy students' clinical practice. The research data will be used as basic data for effective clinical practice. The subjects of this study were 319 occupational therapy students who completed clinical training. The data collection period was from August 1, 2017 to August 13, 2017. The questionnaire used in the previous literature was used to measure the satisfaction of clinical practice. The collected data were statistically processed using the SPSS 12.0 statistical program. The general characteristics of the study subjects were more female, university more. Satisfaction with major was the most satisfied and the training period was the most 24 weeks. Rehabilitation hospitals were the highest in the training institutions. The results showed that the satisfaction of clinical practice was higher in the order of clinical practice, satisfaction after clinical practice, clinical practice environment, teaching method of clinical practice, clinical practice time, evaluation of clinical practice, and internal conflicts in clinical practice. Clinical practice satisfaction according to general characteristics was significantly different according to the major satisfaction and the training period.

• Korean Journal of Radiology
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• v.24 no.5
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• pp.395-405
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• 2023

Objective: This study aimed to develop and validate models using radiomics features on a native T1 map from cardiac magnetic resonance (CMR) to predict left ventricular reverse remodeling (LVRR) in patients with nonischemic dilated cardiomyopathy (NIDCM). Materials and Methods: Data from 274 patients with NIDCM who underwent CMR imaging with T1 mapping at Severance Hospital between April 2012 and December 2018 were retrospectively reviewed. Radiomic features were extracted from the native T1 maps. LVRR was determined using echocardiography performed ≥ 180 days after the CMR. The radiomics score was generated using the least absolute shrinkage and selection operator logistic regression models. Clinical, clinical + late gadolinium enhancement (LGE), clinical + radiomics, and clinical + LGE + radiomics models were built using a logistic regression method to predict LVRR. For internal validation of the result, bootstrap validation with 1000 resampling iterations was performed, and the optimism-corrected area under the receiver operating characteristic curve (AUC) with 95% confidence interval (CI) was computed. Model performance was compared using AUC with the DeLong test and bootstrap. Results: Among 274 patients, 123 (44.9%) were classified as LVRR-positive and 151 (55.1%) as LVRR-negative. The optimism-corrected AUC of the radiomics model in internal validation with bootstrapping was 0.753 (95% CI, 0.698-0.813). The clinical + radiomics model revealed a higher optimism-corrected AUC than that of the clinical + LGE model (0.794 vs. 0.716; difference, 0.078 [99% CI, 0.003-0.151]). The clinical + LGE + radiomics model significantly improved the prediction of LVRR compared with the clinical + LGE model (optimism-corrected AUC of 0.811 vs. 0.716; difference, 0.095 [99% CI, 0.022-0.139]). Conclusion: The radiomic characteristics extracted from a non-enhanced T1 map may improve the prediction of LVRR and offer added value over traditional LGE in patients with NIDCM. Additional external validation research is required.

• Quality Improvement in Health Care
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• v.9 no.2
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• pp.176-197
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• 2002

Backgound : This study is to suggest the standardized format of the clinical sheets and the standardized items of every clinical sheet. The standardization of the medical records will increase the faithfullnes of the contents in them and it will contribute to construct the good health information system. Method : From Jan. 1st. 2001 to March 31st 2001, we gathered as many paper clinical sheets as possible by every class of institutions to review the faithfulness of the clinical contents in them. Clinical sheets of 9 tertiary care hospitals, 6 general hospitals and 56 clinics were gathered. Two experienced medical record administrators reviewed them. The review focus was to check whether the items recommend by the hospital standardization review criteria and hospital service evaluation organization were appeared in the clinical sheets and whether the contents of every item were written. Results : Tertiary care hospitals; In case of administrative data, the contents were filled well if the items were fixed. The clinical data like C.C, history,physical examiniation were filled well, but if the items were not fixed, some items were omitted. The result is that more items are to be filled if they are fixed. General hospitals Administrative data were filled more than 50%. Final diagnosis was filled about 66.7%.But other clinical data were not filled well and not many clinical related items were appeared in the sheets.In the legal point of view, the reason for visiting hosptals or the right diagnosis, patient condition at discharge could not be confirmed well.In surgery cases, surgical procedures could not be confirmed well as many surgical related information(surgery time, fluids and blood, number of sponges, biopsy, etc) were omitted. Clinics More than 70% administrative data were filled and fixed as items. Among the clinical related data, laboratory result was the most credible data. But without the right diagnosis, drug orders were given and doctors' written signatures were not appeared over 96.4%. So the clinical sheets cannot be used as a legal document. Conculusion : There was a tendency that the contents were filled well if the items were fixed in the documents, We also suggest a clinical check list to review the completeness and faithfulness of the clinical sheets. If many hospitals use the suggested clincal check list and if they make the necessary items fixed in the clinical sheets, the quality of the medical record will increase dramatically.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.27-35
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• 2023

This study was a cross-sectional descriptive survey study that confirms the effect on subjects that prefer clinical practice in order to prepare basic data for efficient clinical practice guidance for nursing college students. The study participants were 201 students attending C University, and the data collection period was from October 1 to October 15, 2022. The collected data were analyzed using SPSS 18.0 as descriptive statistics, Pearson correlation, Chi square test, ANOVA test, and Multiple regression test. As a result of the analysis, it was found that clinical decision-making and critical thinking were correlated under the statistical significance level (r=.730, p<0.01). The most favorite clinical practice department was community nursing, and male students preferred community nursing the most (Male=45.6%, χ²=.000), female students were found to prefer similar levels of practical subjects with child nursing , adult nursing, and maternal nursing(χ²=000).Clinical decision-making was found to be higher in students who preferred community nursing at a statistical significance level than those who preferred child nursing (F=4.91, p<0.01). Critical thinking was higher among students who preferred adult nursing than those who preferred other subjects (F=4.65, p<0.01). Through the analysis results, it was found that general characteristics vary, but clinical decision-making ability and critical thinking affect the preference of clinical practice subjects. Therefore, based on the results of this study, the professor of clinical practice suggests the development of a program to foster clinical decision-making and critical thinking to make students interested in clinical practice subjects.

• Journal of Biomedical Engineering Research
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• v.11 no.1
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• pp.141-146
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• 1990

A clinical workstation has been developed for the use in clinical ward. This system is connected to the Picture Archiving and Communication System previously installed. It provides the capabilities of image display, image processing, diagnostic report review, clinical lab data review and analytic diagrams presentation for the hospitalized patients in clinical ward. The performances of this system were evaluated during the 9 months. These results show typical aspects of clinical patterns in data transmissions, image studies and clinical lab data studies. These typical aspects should be counted in the further development of workstation for the clinical use.

• Korean Journal of Clinical Laboratory Science
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• v.45 no.2
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• pp.60-65
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• 2013

Data from repeated measurements are accomplished through repeatedly processing the same subject under different conditions and different points of view. The power of testing enhances the choice of pertinent analysis methods that agrees with the characteristics of data concerned and the situation involved. Along with the clinical example, this paper compares the analysis of the variance on ex-post tests, gain score analysis, analysis by mixed design and analysis of covariance employable for repeating measure. Comparing the analysis of variance on ex post test, and gain score analysis on correlations, leads to the fact that the latter enhances the power of the test and diminishes the variance of error terms. The concluded probability, identified that the gain score analysis and the mixed design on interaction between "between subjects factor" and "within subjects factor", are identical. The analysis of covariance, demonstrated better power of the test and smaller error terms than the gain score analysis. Research on four analysis method found that the analysis of covariance is the most appropriate in clinical data than two repeated test with high correlation and ex ante affects ex post.

• Korean Journal of Adult Nursing
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• v.21 no.2
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• pp.245-256
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• 2009

Purpose: To describe the lived experience of nursing students when faced with clinical judgment in a nursing practicum at the hospital. Methods: A descriptive research design was utilized. Participants were 79 students in the clinical practicum. Participant consent was obtained for ethical protection. Data were collected from August to December 2007 using a semi-structured questionnaire. Content analysis was utilized for data analysis. Results: Two categories and 5 themes were extracted from the data for 'difficult' and 'easy' clinical judgments. For the student category, the two themes were 'knowledge' and 'skill', while the three themes for the clinical education environment category were, 'judgment of clinical symptoms and signs', 'differences between theory and practice' and 'human relationships'. For coping, 2 categories and 5 themes were extracted for the difficult clinical judgment situation, while one category and one theme were found for the easy clinical judgment situation. Conclusion: To develop students' clinical judgment, there is need to develop the method of clinical skills using simulation in clinical teaching. For future research, a study on factors affecting clinical judgment of nursing students in hospitals is needed.

• Korean Journal of Oriental Medicine
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• v.14 no.3
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• pp.81-87
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• 2008

Sasanag Contitution Medicine(SCM) is the traditional medicine theory based on constitutional medicine in Korea. It is most import ant that a personal SCM type is determined accurately ahead of applying any Sasang treatments. For this, many researches have been studied to diagnose the SCM type using constitutional clinical data. The decision tree is a tree-structured data-mining methodology. Recently, in the Korean traditional medicine society, there have been several efforts to find diagnosing tools using the decision tree method. So, we developed a decision tree program based on web for analyzing constitutional clinical information. It can use various clinical data as input data, offer filtering function to select clinical data to be used. We can find useful factor to be influential on SCM types using this program.