• 지역사회간호학회지
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• 제24권1호
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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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• 대한예방의학회 2000년도 제52차 추계학술대회 연제집
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• pp.185-186
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• 2000

• 대한약학회:학술대회논문집
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• 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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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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• 제11권4호
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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.

• 한국멀티미디어학회논문지
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• 제17권5호
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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.

• 한국산업간호협회지
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• 제18권1호
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• pp.63-63
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• 2011

• Genomics & Informatics
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• 제12권4호
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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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• 제9권1호
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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.

• 한국콘텐츠학회논문지
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• 제17권1호
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• pp.550-566
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• 2017

최근 헬스케어 산업의 증가와 웨어러블 디바이스 및 건강 관련 모니터링 기술의 발전은 자신의 행동을 측정하고 계량화하는 자아정량화 운동의 부흥을 촉진시키고 있다. 퍼스널 헬스케어를 통해 사용자들은 자신의 건강관련 행동을 정량적으로 인지하고 건강관련 인식을 향상할 수 있게 되었다. 본 연구는 사용자에게 전달되는 건강정보를 보다 효과적으로 전달하는 방법을 찾고 제안하고자 한다. 이를 위해 어플리케이션에서 피드백 유형(feedback type)의 비교반응과 정보 제공형태(presentation mode)의 심리적 효과에 대한 실험연구를 진행하였으며 이를 위해 피험자들의 건강 자가보존 성향을 측정하였다. 실험연구 결과, 비교조건과 텍스트 조건에서 사용자의 개인정량화 정보를 효과적으로 전달하는 것으로 나타났다. 또한 피험자의 건강 관련 자가 인지에 따라 건강 자가보존 성향 역시 증가하였다. 이러한 연구 결과 분석은 사용자의 건강 관련 행동 변화 유도의 관점에서 건강정보학 분야 연구의 사용자 행동유도성에 관한 학술적 방법론에 기여할 수 있으며 개인정보학 어플리케이션 설계 및 개발에 의미있는 기여를 할 수 있다. 또한 연구결과는 향후 웨어러블 디바이스의 지속적인 사용을 위한 요인 분석과 개인 트래킹 데이터 분석을 통한 효율적인 건강관리 등 헬스케어 산업에 새로운 통찰을 제공할 것이다.

• Journal of Preventive Medicine and Public Health
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• 제50권6호
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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.