• Research in Community and Public Health Nursing
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• v.24 no.1
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• pp.20-28
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• 2013

Purpose: The aim of the study was to identify nursing informatics competencies of nurses working for public health centers in Chungcheongnam-do. Methods: Data were collected from June 10 to July 25, 2012 using the Nursing Informatics Competencies Questionnaire (NICQ). Data were analyzed by descriptive statistics, t-test, $x^2$-test, ANOVA and Pearson's correlation coefficient. Results: Nursing informatics competencies of the subjects showed a mean score of $3.3{\pm}1.0$ out of 5. As for scores of individual categories, the score for computer skills competencies was $3.3{\pm}1.0$, informatics knowledge competencies $3.4{\pm}0.9$, and informatics skills competencies $3.0{\pm}0.9$. Nursing informatics competencies were positively correlated with the subjects' ages (r=.65, p<.001), computer usage hours (r=.23, p = .015), levels of demand for informatics knowledge (r=.51, p<.001), and informatics skills education (r=.78, p<.001). Conclusion: Nursing informatics is required to be connected with job training or in-service education on account of its growing necessity for public health nurses. It is also essential to develop programs for strengthening informatics competencies reflecting sub-categories of educational needs.

• 대한예방의학회:학술대회논문집
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• 2000.10a
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• pp.185-186
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• 2000

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.237-237
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• 2002

Creatine phosphokinase (CPK) was a marker in diagnosis of rhabdomyolysis. The CPK abnormality could be induced by intake of HMG CoA reductase inhibitors (statins). The objective of this study was to estimate the incidence rate of CPK abnormality by each statin. (omitted)

• Genomics & Informatics
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• v.11 no.4
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.640-653
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• 2014

Recently medical consumers pursue high leveled quality of life through active promotion, prevention, management activity of health as the importance of health during home life is emerged to meet the aging society and chronic diseases. In addition, people are directed to the m-Health for managing yourself their health by using smartphone and various personal health devices, if necessary transmits health data to the physician himself. In the previous studies, m-Health Application were developed and applied in the real clinical environment by adopting the medical information standards was rarely conducted. Therefore, in this study, the m-Health application platform was developed. Developed application was communicate with IEEE 11073 standard protocol using the Bluetooth Health Device Profile in personal health device via smart phone to process blood pressure information, and it converted to HL7 V2.6 ORU_R01 message for send to remote medical server. In addition, we tested the interoperability and safety of the developed application for 23 inpatient and 17 outpatient at D University Hospital. As a result, the blood pressure information has been transmitted without error.

• KOREAN ASSOCIATION OF OCCUPATIONAL HEALTH NURSES
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• v.18 no.1
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• pp.63-63
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• 2011

• Genomics & Informatics
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• v.12 no.4
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• pp.187-194
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• 2014

Metabolic syndrome (METS) is a disorder of energy utilization and storage and increases the risk of developing cardiovascular disease and diabetes. To identify the genetic risk factors of METS, we carried out a genome-wide association study (GWAS) for 2,657 cases and 5,917 controls in Korean populations. As a result, we could identify 2 single nucleotide polymorphisms (SNPs) with genome-wide significance level p-values (< $5{\times}10^{-8}$), 8 SNPs with genome-wide suggestive p-values ($5{\times}10^{-8}{\leq}$ p < $1{\times}10^{-5}$), and 2 SNPs of more functional variants with borderline p-values ($5{\times}10^{-5}{\leq}$ p < $1{\times}10^{-4}$). On the other hand, the multiple correction criteria of conventional GWASs exclude false-positive loci, but simultaneously, they discard many true-positive loci. To reconsider the discarded true-positive loci, we attempted to include the functional variants (nonsynonymous SNPs [nsSNPs] and expression quantitative trait loci [eQTL]) among the top 5,000 SNPs based on the proportion of phenotypic variance explained by genotypic variance. In total, 159 eQTLs and 18 nsSNPs were presented in the top 5,000 SNPs. Although they should be replicated in other independent populations, 6 eQTLs and 2 nsSNP loci were located in the molecular pathways of LPL, APOA5, and CHRM2, which were the significant or suggestive loci in the METS GWAS. Conclusively, our approach using the conventional GWAS, reconsidering functional variants and pathway-based interpretation, suggests a useful method to understand the GWAS results of complex traits and can be expanded in other genomewide association studies.

• Genomics & Informatics
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• v.9 no.1
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• pp.37-38
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• 2011

Biobank Impact Factor (BIF), which is a very effective criterion to evaluate the activity of biobanks, can be estimated by the citation information of biobanks from scientific papers. We have developed a program, ManBIF, to investigate the citation information from PDF files in the literature. The program manages a dictionary for expressions to represent biobanks and their resources, mines the citation information by converting PDF files to text files and searching with a dictionary, and produces a statistical report file. It can be used as an important tool by biobanks.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.550-566
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• 2017

Recent advances in wearable devices and quantified-self movement increase the number of personal informatics application that may cause an concern to health industry and user. In this light, the goal of this study is to identify more effective ways of design and evaluation of personal informatics application for self-tracking and delivering health information to users. For this goal, this study conducted areal-world study that processes such that user can assess, be aware of, and self-reflect on their data and behavior activity. In doing so, this study aims to determine the psychological effects of forms of health feedback (comparative vs. non-comparative) and presentation modes (text vs. image) on users' tendencies toward health conservation. Results from a between-subjects experiment revealed that health information in a comparative and textual format was more effective in encouraging health conservation in participants than identical information presented in a non-comparative and image format. In addition, participants' level of health consciousness emerged as a significant predictor. Through this analysis of quantitative data and inferences, this study make a number of contributions to the user affordance research and its methodology of health informatics study and designing personal informatics application that support user's behavior change in various contexts.

• Journal of Preventive Medicine and Public Health
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• v.50 no.6
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• pp.411-414
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• 2017

Antimicrobial resistance and emerging infectious diseases, including avian influenza, Ebola virus disease, and Zika virus disease have significantly affected humankind in recent years. In the premodern era, no distinction was made between animal and human medicine. However, as medical science developed, the gap between human and animal science grew deeper. Cooperation among human, animal, and environmental sciences to combat emerging public health threats has become an important issue under the One Health Initiative. Herein, we presented the history of One Health, reviewed current public health threats, and suggested opportunities for the field of public health through better understanding of the One Health paradigm.