• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1650-1662
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• 2014

This study aimed to develop smartphone application contents for the medication reconciliation of high-alert medications and to evaluate the satisfaction for this application. The xcode 4.5 and ios 6.1 SDK(software development kit) were used for constructing screen of the system. After implementation during 4 weeks, thirty five ICU(Intensive Care Unit) nurses were asked function related, contents related, and usage related satisfaction using 12 items. And differences of satisfaction according to the number of daily use and the frequency of use were evaluated. Data were analyzed using descriptive analysis, ANOVA with the SPSS 18.0. We developed the formula for drug dosage calculation, the alarming procedure, and the information of the high alert medication. In the satisfaction items, the mean score of 'This application is helpful to perform drug dosage calculation' was 3.14. However, 'I satisfy this application' was relatively low as 2.94. There were no differences in satisfaction according to the daily use and frequency of use. Based on the results of this study, more advanced smartphone application for medication reconciliation of high-alert medications will provide an important platform for patient safety.

• The Journal of Korean Institute of Information Technology
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• v.17 no.12
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• pp.21-28
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• 2019

Side effects of drugs mean harmful and unintended effects resulting from drugs used to prevent, diagnose, or treat diseases. These side effects can lead to patients' death and are the main causes of drug developmental failures. Thus, various methods have been tried to identify side effects. These can be divided into biological and systems biology approaches. In this study, we use systems biology approach and focus on using various phenotypic information in addition to the chemical structure and target proteins. First, we collect datasets that are used in this study, and calculate similarities individually. Second, we generate a set of features using the similarities for each drug-side effect pair. Finally, we confirm the results by AUC(Area Under the ROC Curve), and showed the significance of this study through a comparison experiment.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.1-15
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• 2022

This study analyzes the relationship of citations appearing in the patent data to understand knowledge transfers and impacts between patent documents in the field of pharmaceutical research. Patent data were collected from a website, Google Patents. The top 25 assignees were selected by searching for patent documents related to pharmaceutical research. We identify the citation relationships between assignees, then calculate and compare the values of h-index and derived indicators by using the number of citations and rank for each document of each assignee. As a result, in the case of pharmaceutical research, the assignee, such as 'Pfizer, MIT, and Abbott' shows a high impact. Among the five bibliometric indicators, the g-index and hS-index show similar results, and the indicators are the most related to the rankings of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In addition, it is highly related to the five indicators in the order of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In some cases, it is difficult to make an accurate comparison with Cites per Patents alone, which is previously known to indicate the technological influence of patent assignees.

• Proceedings of the Korean Society of Applied Pharmacology
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• 1995.04a
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• pp.58-58
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• 1995

식물에서부터 새로운 소염작용제를 개발하기 위하여 여러식물을 대상으로 염증반응의 초기단계에서 중요한 역할을 하는 것으로 알려진 Phospholipase $A_2$에 저해활성을 갖는 물질을 검색하였고 그 중 강한 억제활성을 보인 유근피에서 유효성분을 분리하였다. 유근피의 에칠 아세테이트 분획에 대하여 실리카겔 크로마토그래피, Sephadex LH-20 크로마토그래피, 분취 박막 크로마토그래피를 수행하여 phenol성 -OH기를 갖는 활성성분인 PSH-II-84-1를 분리하였다. $^1$H-NMR 신호의 양상과 짝지움 상수 값에서 분리된 물질은 (+)-catechin 의 당 유도체로 확인되었다. $^{13}$C-NMR 자료를 분석하여 치환된 당은 D-apiofuranose로 확인되었다. 방향족환의 $^{l3}$C-NMR 신호들은 extended Huekel theory를 응용하여 얻은 net charge 계산 값과 상관시켜 할당하였다. 이상의 구조연구 결과 이 물질은 (+)-catechin-7-0-$\beta$-D-apiofuranoside로 밝혀졌다. (+)-catechin-7-0-$\beta$-D-apiofuranoside의 효소억제활성은 Type II Phospholipase $A_2$에 대하여 $IC_{50}$/이 600$\mu$M이었다.다.

• Transactions of the KSME C: Technology and Education
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• v.2 no.2
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• pp.73-80
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• 2014

Drug delivery in human upper airway was studied by the numerical simulation of oral airflow. We created an anatomically accurate upper airway model from CT scan data by using a medical image processing software (Mimics). The upper airway was composed of oral cavity, pharynx, larynx, trachea, and second generations of branches. Thin sliced CT data and meticulous refinement of model surface under the ENT doctor's advice provided more sophisticated nasal cavity models. With this 3D upper airway models, numerical simulation was conducted by ANSYS/FLUENT. The steady inspiratory airflows in that model was solved numerically for the case of flow rate of 250 mL/s with drug-laden spray(Q= 20, 40, 60 mL/s). Optimal parameters for mechanical drug aerosol targeting of predetermined areas was to be computed, for a given representative upper airways. From numerical flow visualization results, as flow-rate of drug-laden spray increases, the drag spray residue in oral cavity was increased and the distribution of drug spray in trachea and branches became more homogeneous.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.5
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• pp.1079-1087
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• 2013

The pharmacokinetics of florfenicol (FF) after oral administration was studied in the cultured olive flounder, Paralichthys olivaceus, using high performance liquid chromatography (HPLC). After single administration of FF (20 mg/kg body weight) by oral route in olive flounder ($700{\pm}50$ g, $23{\pm}1.5^{\circ}C$), the concentration in the serum was determined at 1, 5, 10, 15, 24, 30, 50 and 168 h post-dose. The kinetic profile of absorption, distribution and elimination of FF in serum were analyzed fitting to a two-compartment model by WinNonlin program. The area under the concentration-time curve (AUC), maximum concentration ($C_{max}$), time for maximum concentration ($T_{max}$) and elimination time were 22.51 ${\mu}g{\cdot}h/mL$, 0.84 ${\mu}g/mL$, 8.62 h and 447 h, respectively. The results of this study related to dosage and withdrawal times could be used for prescription of FF in field for the treatment of bacterial diseases in olive flounder.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.311-316
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• 2022

Tertomotide is a peptide fragment of hTert and developed as a vaccine targeting cancer. It has been reportedly known to ameliorate inflammatory symptoms in clinical tests and in animal studies. However, the therapeutic potential of tertomotide is not supposed to be comparable to conventional anti-inflammatory agents due to low druglikeness In order to treat inflammations present in varous lesion, the structure of tertomotide is required to be modified. In this context, 12 octapeptides were designed based on tertomotide and screened for the anti-inflammatory activity in activated monocyte by measuring TNF-α secretion. As a result, some octapeptides has been exerted anti-inflammatory activity, comparable to or better than tertomotide and estradiol, known anti-inflammatory agents. This result is supposed to be helpful for developing therapeutic purpose exploiting other tertomotide-derived peptides and would be an example for designing novel drug based on active biomolecules with undesirable structure by convergence study of biology and computer-aided medicinal chemistry.

• Journal of Korean Biological Nursing Science
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• v.16 no.2
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• pp.113-122
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• 2014

Purpose: This study was to identify predictors of drug dosage calculation error risk in newly graduated nurses. Methods: A total of 115 newly graduated nurses who passed their employment examination, but didn't work for hospital yet, were recruited from a university hospital. The data were analyzed by descriptive statistics, $X^2$-test, t-test, ANOVA, Pearson correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of 'drug dosage calculation ability' was $0.81{\pm}0.16$ and the mean score of 'certainty of calculation' was $2.95{\pm}0.60$ out of a 5 point scale. The error risk of drug dosage calculation was positively related to anxiety for drug dosage calculations (r=.388, p<.001), but negatively related to interest and confidence in mathematics (r=-.468, p<.001), confidence related to dosage calculations (r=-.426, p<.001). The main predictors of error risk related drug calculations in newly graduated nurses were identified as interest and confidence in mathematics (${\beta}$=-.468, p<.001). This factor explained about 21.9% of the variance in error risk of drug dosage calculation. Conclusion: The strategies used to decrease the error risk related drug dosage calculation such as improving interest and confidence in mathematics should be developed and implemented.

• Journal of Korean Biological Nursing Science
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• v.14 no.3
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• pp.174-182
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• 2012

Purpose: The objective of this study was to identify predictors of drug calculation competence of nursing students. Methods: A total of 120 students were recruited from 3 universities from November 10 to 20, 2011. The instruments for this study were drug calculation competence, self-efficacy for drug dosage calculation, anxiety for drug dosage calculation, and the academic self-efficacy scale. The data were analyzed by descriptive analysis, chi-square test, t-test, Scheffe test, partial correlation coefficients, and stepwise multiple regression using the SPSS 18.0 program. Results: The mean score of good competence group was $0.67{\pm}0.08$ and the mean score of no-good competence group was $0.42{\pm}0.10$. The drug calculation competence was positively related to self-efficacy for drug dosage calculation and academic self-efficacy scale, but negatively related to anxiety for drug dosage calculation after controlling personal attributes. The main predictors of drug calculation competence in nursing students were identified as anxiety for drug dosage calculation (${\beta}$=-.25, p=.046), academic self-efficacy (${\beta}$=.19, p=.035). These two factors explained about 10% of variance in drug calculation competence. Conclusion: Based on the results, the strategies reducing the anxiety for drug dosage calculation and improving the academic self-efficacy should be developed and implemented.

• Korean Journal of Adult Nursing
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• v.24 no.6
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• pp.569-579
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• 2012

Purpose: The purpose of this study was to investigate the relationship between drug dosage calculation error prevention competence and medication safety organizational climate. Methods: We surveyed 207 nurses from 15 hospitals. An assessment survey was designed to assess the medication safety organizational climate which consisted of four subcategories including medication safety cultures, medication safety initiatives, medication error communication, and medication error management competence. The drug dosage calculation error prevention competence contains two subcategories; Dosage calculation habits and ability. The data were collected from July to August 2011. Descriptive statistics, t-test, ANOVA, partial Pearson correlation coefficient, canonical correlation were used. Results: Organizational climate was related to dosage calculation error prevention competence with two significant canonical variables. The first canonical correlation coefficient was .53 (Wilks' ${\lambda}$=0.71, df=8, p<.001) and that of the second was .21 (Wilks' ${\lambda}$=0.96, df=3, p=.027). The first variate indicated higher perception of medication safety cultures, safety initiatives, error communication and error management competence were related to better dosage calculation habits. The second variate showed higher perception of medication safety cultures and lower medication error management competence were related to higher calculation ability. Conclusion: Continuous supporting strategies for medication safety organizational climate should be implemented to improve drug dosage calculation habits.