• Journal of Korean Academy of Nursing
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• v.53 no.6
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• pp.652-665
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• 2023

Purpose: This study aimed to develop a nursing clinical judgment scale (NCJS) and verify its validity and reliability in assessing the clinical judgment of nurses. Methods: A preliminary instrument of the NCJS comprising 38 items was first developed from attributes and indicators derived from a literature review and an in-depth/focus interview with 12 clinical nurses. The preliminary tool was finalized after 7 experts conducted a content validity test based on a data from a preliminary survey of 30 hospital nurses in Korea. Data were collected from 443 ward, intensive care unit, emergency room nurses who voluntarily participated in the survey through offline and online for the verification of the construct validity and reliability of the scale. Results: The final scale comprised 23 items scored on a 5-point Likert scale. Six factors - integrated data analysis, evaluation and reflection on interventions, evidence on interventions, collaboration among health professionals, patient-centered nursing, and collaboration among nurse colleagues - accounted for 64.9% of the total variance. Confirmatory factor analysis supported the fit of the measurement model, comprising six factors (root mean square error of approximation = .07, standardized root mean square residual = .04, comparative fit index = .90). Cronbach's α for all the items was .92. Conclusion: The NCJS is a valid and reliable tool that fully reflects the characteristics of clinical practice, and it can be used effectively to evaluate the clinical judgment of Korean nurses. Future research should reflect the variables influencing clinical judgment and develop an action plan to improve it.

• Korean Journal of Radiology
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• v.22 no.6
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• pp.912-921
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• 2021

Objective: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) in detecting liver metastasis with that of radiologists. Materials and Methods: This clinical retrospective study used 4386-slice computed tomography (CT) images and labels from a training cohort (502 patients with colorectal cancer [CRC] from November 2005 to December 2010) to train the DLLD for detecting liver metastasis, and used CT images of a validation cohort (40 patients with 99 liver metastatic lesions and 45 patients without liver metastasis from January 2011 to December 2011) for comparing the performance of the DLLD with that of readers (three abdominal radiologists and three radiology residents). For per-lesion binary classification, the sensitivity and false positives per patient were measured. Results: A total of 85 patients with CRC were included in the validation cohort. In the comparison based on per-lesion binary classification, the sensitivity of DLLD (81.82%, [81/99]) was comparable to that of abdominal radiologists (80.81%, p = 0.80) and radiology residents (79.46%, p = 0.57). However, the false positives per patient with DLLD (1.330) was higher than that of abdominal radiologists (0.357, p < 0.001) and radiology residents (0.667, p < 0.001). Conclusion: DLLD showed a sensitivity comparable to that of radiologists when detecting liver metastasis in patients initially diagnosed with CRC. However, the false positives of DLLD were higher than those of radiologists. Therefore, DLLD could serve as an assistant tool for detecting liver metastasis instead of a standalone diagnostic tool.

• Journal of Korean Academy of Nursing
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• v.39 no.6
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• pp.840-850
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• 2009

Purpose: This study was done to investigate the relationship between critical thinking disposition and clinical competence among nurses in general hospitals. Methods: This study was a descriptive-correlational study with a convenience sample of 560 nurses from 5 general hospitals. The data were collected by self-administered questionnaires. Critical thinking disposition was measured using the Critical Thinking Disposition Scale for Nursing Students. Clinical competence was measured using the Standardized Nurse Performance Appraisal Tool. Results: The mean score for critical thinking disposition and clinical competence was 3.37 and 4.10 respectively on a 5 point scale. A statistically significant correlation was found between critical thinking disposition and clinical competence. A regression model explained 72.8% of clinical competence. Prudence is the most significant predictor of clinical competence ($R^2=.728$). Conclusion: Study findings suggest that nurses with a higher level of critical thinking disposition would have a higher level of clinical competence. Furthermore, prudence might be the most important predictor of clinical competence. In order to strengthen clinical competence in nurses, the development and enhancement of critical thinking should be emphasized at the college level and nurses should be encouraged to make a clinical decision with greater prudence.

• The Journal of Korean Medicine
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• v.33 no.3
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• pp.82-94
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• 2012

Objectives: The aim of study was to develop a standard clinical oriental medicine evaluation instrument for chronic obstructive pulmonary disease (COPD). Methods: We appointed 10 respiratory professors of oriental medicine as the advisory committee. The committee was organized and met several times to discuss the patterns of syndrome differentiation (辨證) and its items based on clinical symptoms of COPD patients and review of published literature. Then the committee investigated the importance of items by e-mail and decided the weight and final weight, respectively. Results: According to the answers and conferences, we determined the Korean oriental medical assessment tool for COPD comprised of the 7 type of patterns of syndrome differentiation which have 9 items with the mean weight and final weight of each item, respectively. Conclusions: This Korean oriental medical assessment tool for COPD was newly developed through expert consensus. We expect to apply this tool to subsequent research as its validity and reliability is further confirmed.

• Korean Journal of Veterinary Research
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• v.41 no.4
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• pp.535-542
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• 2001

A multiplex PCR technique was developed for detecting specifically each Mycobacterium bovis, M. tuberculosis, M. avium and M. avium subsp, paratuberculosis, respectively, using clinical samples of field cattle. To apply this novel technique to clinical specimens, blood sample was obtained from live cows comprising 11 intradermal tuberculin test (ITT)-positive and 17 ITT-negative and tested by multiplex PCR. Positive results were obtained from 15 cows by the multiplex PCR, showing that 4 (23.5%) of the 17 ITT-negative cows were multiplex PCR positive. The multiplex PCR results also showed that among the 15 positive cows, 7 (46.7%) were infected with M. bovis, 1 (6.7%) with M. tuberculosis and 7 (46.7%) with M. avium. The sensitivity and specificity of multiplex PCR in comparison with those of ITT were 100% and 76.5%. The correlation between the multiplex PCR and ITT assays with blood samples was considered excellent, 85.7% agreement and ${\kappa}=0.72$. The results obtained, using reference mycobacterial strains and typed clinical samples, show that the multiplex PCR method may be a rapid, sensitive, and specific tool for the differential identification of various mycobacterial strains in a single-step assay. Therefore, multiplex PCR assay is a useful tool for early diagnosis of tuberculosis in live cattle and to identify the species or complex of mycobacterium from clinical samples.

• Journal of Korean Critical Care Nursing
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• v.5 no.2
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• pp.15-27
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• 2012

Purpose: To evaluate the applicability of Lasater Clinical Judgment Rubric (LCJR) as an evaluation tool for hypoglycemia simulation practicum on Korean nursing students. Methods: The methodological study was done to evaluate the reliability and validity of the LCJR. Based on Benner's 4 levels of nursing grading rubric, ten items of the LCJR was evaluated for interrater reliability and internal consistency. The content validity was tested by eight experts and concurrent validity was done by Clark (2006)'s clinical simulation grading rubric. Fifty five video-taped cases of senior nursing students in Y University were used for the reliability and concurrent validity of the LCJR. Results: The interrater reliability was r=.90 (p<.001); Kendall tau b=.87 (p <.001), and Cronbach's alpha was .90. A value of item content validity index of the LCJR was .97 and correlation coefficient between the LCJR and Clark's instrument was .90 (p<.001). The mean (${\pm}SD$) of the nursing students' clinical judgment was 2.04 (${\pm}50$). Conclusion: The LCJR is a useful tool to examine the simulation performance evaluation for improving competency among nursing students. The results indicated that the LCJR may provide valuable information regarding clinical judgment of nursing students and thus, suggested to use to develop a simulation-based education program.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.6
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• pp.2935-2937
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• 2014

Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1830-1840
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• 2011

CDISC (Clinical Data Interchanging Standards Consortium) standards are to support the acquisition, exchange, submission and archival of clinical trial and research data. SDTM (Study Data Tabulation Model) for Case Report Forms (CRFs) was recommended for U.S. Food and Drug Administration (FDA) regulatory submissions since 2004. Although the SDTM Implementation Guide gives a standardized and predefined collection of submission metadata 'domains' containing extensive variable collections, transforming CRFs to SDTM files for FDA submission is still a very hard and time-consuming task. For addressing this issue, we developed metadata based SDTM mapping rules. Using these mapping rules, we also developed a semi-automatic tool, named CDISC Transformer, for transforming clinical trial data to CDISC standard compliant data. The performance of CDISC Transformer with or without MDR support was evaluated using CDISC blank CRF as the 'gold standard'. Both MDR and user inquiry-supported transformation substantially improved the accuracy of our transformation rules. CDISC Transformer will greatly reduce the workloads and enhance standardized data entry and integration for clinical trial and research in various healthcare domains.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.187-195
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• 2019

Recently, it has become possible to collect, store, process, and analyze data generated in various fields by the development of the technology related to the big data. These big data technologies are used for clinical results analysis and the optimization of clinical trial design will reduce the costs associated with health care. Therefore, in this paper, we are going to analyze clinical results and present guidelines that can reduce the period and cost of clinical trials. First, we use Sqoop to collect clinical results data from relational databases and store in HDFS, and use Hive, a processing tool based on Hadoop, to process data. Finally we use R, a big data analysis tool that is widely used in various fields such as public sector or business, to analyze associations.

• Dementia and Neurocognitive Disorders
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• v.22 no.1
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• pp.1-15
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• 2023

The Seoul Neuropsychological Screening Battery (SNSB) is known as a representative comprehensive neuropsychological evaluation tool in Korea since its first standardization in 2003. It was the main neuropsychological evaluation tool in the Clinical Research Center for Dementia of South Korea, a large-scale multi-center cohort study in Korea that was started in 2005. Since then, it has been widely used by dementia clinicians, and further solidified its status as a representative dementia evaluation tool in Korea. Many research results related to the SNSB have been used as a basis for the diagnosis and evaluation of patients in various clinical settings, especially, in many areas of cognitive assessment, including dementia evaluation. The SNSB version that was updated in 2012 provides psychometrically improved norms and indicators through a model-based standardization procedure based on a theoretical probability distribution in the norm's development. By providing a score for each cognitive domain, it is easier to compare cognitive abilities between domains and to identify changes in cognitive domain functions over time. Through the development of the SNSB-Core, a short form composed of core tests, which also give a composite score was provided. The SNSB is a useful test battery that provides key information on the evaluation of early cognitive decline, analysis of cognitive decline patterns, judging the severity of dementia, and differential diagnosis of dementia. This review will provide a broad understanding of the SNSB by describing the test composition, contents of individual subtests, characteristics of standardization, analysis of the changed standard score, and related studies.