• Journal of Korean Academy of Nursing
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• v.38 no.3
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• pp.363-371
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• 2008

Purpose: This analysis was conducted to evaluate the cost-effectiveness of gemcitabine-cisplatin chemotherapy for non small-cell lung cancer patients in an outpatient setting compared with the traditional inpatient setting. Methods: A cost-effective analysis was conducted from a societal perspective. The effects of treatment, which was measured as an adverse event rate, were abstracted from a published literature search and empirical data from one university hospital. The costs included both direct and indirect costs. Direct costs included hospitalizations, outpatient visits, and lab tests. Pharmaceutical costs were excluded in analysis because they were same for both options. Indirect costs included productivity loss of patients as well as care-givers. In order to determine the robustness of the results, sensitivity analysis on treatment protocol was conducted. Results: Literature search showed no difference in adverse effect rates between inpatient treatment protocol and outpatient treatment protocol. Therefore, this analysis is a cost-minimization analysis. Cost-savings in the outpatient setting was 555,936 won for one treatment cycle. Our sensitivity analysis indicated that the outpatient chemotherapy still showed cost-savings, regardless of changes in treatment protocol. Conclusion: The outpatient gemcitabine-cisplatin chemotherapy for non small-cell lung cancer resulted in cost savings compared to inpatient chemotherapy. More importantly, outpatient chemotherapy could improve the utilization of health service resources in terms of available beds.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.483-486
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• 2021

With the explosive increase in data, the 'big data era' has arrived, focusing on deriving new values and insights through data. With the development of data analysis technology, the importance of data analysis and utilization in the field of diagnosis and treatment as well as prevention is expanding, while the use of big data is emerging in the healthcare field. Moreover, as the three data-related laws (Personal Information Protection Act, Information and Communication Network Act, and Credit Information Act) were passed in January 2020, it became possible to use a wide range of big data through pseudonym information. However, the use of healthcare big data is still struggling due to various policies and regulations, inconsistent data quality, and the absence of specialized personnel. Therefore, in this study, examines the current state of use of big data in the healthcare field, and analyzes the challenges, overseas cases, plans, and expected effects for activation of healthcare big data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.686-697
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• 2017

Rapid growth in mobile communication and the proliferation of smart devices have drawn significant utilization of machine generated data. Behavior tracking technology now are utilized in the various fields based on extracting data using the sensor and device. We deploy IoT based behavioral intervention system in Suwon mental health center to improve the effectiveness of non-medicine care for senior people. Using smart activity trackers and BLE scanner devices, we proposed a location-based behavioral intervention system and verify the integrity of the harvested data.

• KSBB Journal
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• v.26 no.4
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• pp.317-322
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• 2011

Ulva pertusa is one of the worst pollutant like a waste vinyl after agriculture and caused bad smell at seashore in Jejudo and south area of korean peninsular. For favorable environmental utilization of Ulva pertusa, it could be applied for ethanol production with its acid hydrolysate. The components of hydrolysate included fermentable sugar of glucose, xylose, mannose, galactose, and higher amounts of unfermentable rhamnose. Fermentable sugars were converted to ethanol with S. cerevisiae, also xylose to ethanol with P. stipitis, their maximun ethanol production at optimum conditions were 462 ${\mu}g$/mL and 475 ${\mu}g$/mL, respectively. While, rhamnose cannot be changed to ethanol with S. cerevisiae or P. stipitis, alone. Combination of S. cerevisiae and P. stipitis can convert rhamnose to ethanol, because P.stipitis degradaded rhamnose to pyruvate, and then S. cerevisiae convert to ethanol, at optimum conditions, ethanol reached to 782 ${\mu}g$/mL (30.24%) that is higher than that of 2 strain alone from 500 mg of dried Ulva pertusa contained 2586.45 ${\mu}g$/mL of reduced sugars. Ulva pertusa can be utilized for renewal energy insted of environmenatal enemy.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.681-693
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• 2022

The purpose of this study is to suggest a plan to utilize atypical data in the health care field by inferring standard medical terms related to the musculoskeletal system through keyword network analysis of medical records of patients hospitalized for musculoskeletal disorders. The analysis target was 145 summaries of discharge with musculoskeletal disorders from 2015 to 2019, and was analyzed using TEXTOM, a big data analysis solution developed by The IMC. The 177 musculoskeletal related terms derived through the primary and secondary refining processes were finally analyzed. As a result of the study, the frequent term was 'Metastasis', the clinical findings were 'Metastasis', the symptoms were 'Weakness', the diagnosis was 'Hepatitis', the treatment was 'Remove', and the body structure was 'Spine' in the analysis results for each medical terminology system. 'Oxycodone' was used the most. Based on these results, we would like to suggest implications for the analysis, utilization, and management of unstructured medical data.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.113-122
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• 2017

The purpose of the study was to investigate the patient, disease and hospital characteristics which affect treatment result and early complication for inpatients with psychiatric comorbidity. We analyzed data on 19,806 patients of the Korea Centers for Disease Control and Prevention from 2012 to 2014, Korea National Hospital discharge in-depth data. Frequency, chi-square and logistic regression analysis was performed, using STATA 12.0. According to logistic regression analysis, gender(Odds ratio(OR)=0.776, 95% confidence interval(CI)=0.686-0.878), insurance type(OR=0.853, CI=0.731-0.995), operation(OR=0.424, CI=0.350-0.513), disposition(OR= 39.307, CI=34.394-44.923), beds(300-499, OR=0.470, CI=0.377-0.585; 500-999, OR=0.462, CI=0.395-0.541; 1000 over, OR=0.598, CI=0.480-0.745) were significant predictors of treatment result. And insurance type(OR=1.527, CI=1.241-1.879), CCI(3 over, OR=1.865, CI=1.534-2.266), operation(OR=5.399, CI=4.562-6.389), disposition(OR=1.279, CI=1.013-1.614), district(Metropolitan city, OR=0.519, CI=0.407-0.661; Non-metropolitan OR=0.469, CI=0.383-0.574), beds(500-999, OR=2.799, CI=1.986-3.944; 1000 over, OR=2.109, CI=1.429-3.113) were significant predictors of early complication. This research would be used as a basic data of high quality of medical care and efficient resource utilization in order to detect and minimize the negative medical treatment results of inpatients with psychiatric comorbidity.

• Journal of agricultural medicine and community health
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• v.35 no.2
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• pp.151-164
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• 2010

Objective:Korea has 3,170 islands with about 188,000 inhabitants. These inhabitants' needs for health services might go unmet because of geographic isolation, slimmer availability of health services, and higher proportion of the elderly compared with the mainland population. Unmet health service needs might result in serious health problems for these island residents. Therefore, the purpose of this study was to investigate their unmet health service needs and related factors from population of Nowha island. Methods: The survey was conducted from July 30 to August 1 by trained interviewers. Target population were residents in Nohwa island and the sampling method was incomplete quota sampling. General characteristics, socioeconomic status, utilization of health service, and unmet medical service needs were investigated. First univariate and then multivariate logistic analyses were done for the statistical analysis. Results: 324 residents were surveyed and the proportion of unmet health services needs was 26.5%. People living alone and of female sex had increased health services needs based on univariable analysis. From the multivariate analysis, those living alone increased the health services needs. Self-determined low socioeconomic status and medical aid increased the proportion of unmet medical needs, but these were not statistically significant. Conclusion:In Nowha island, those who are elder, and of lower socioeconomic status had much higher unmet medical needs. The results suggest the need for more social support by qualified health services to solve this unmet medical needs problem.

• Journal of the Korean Applied Science and Technology
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• v.33 no.2
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• pp.311-323
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• 2016

By studying bioactivity in the aspect of skin care via curcumin, the main component of turmeric, and isoflavones, the soybean extract, this research tried to prove the possibilities as cosmetic ingredients. This research identified the curcumin and soybean extract's anti-inflammatory and toxic effects on skin cells through cell experiment, and using HPLC, the moisture, oiliness, and changes in erythema were measured when the soybean extract was applied to the skin. The result showed that curcumin had the least toxin on RAW 264.7 cell and the anti-inflammatory effect was identified. There were statistically significant changes on the moisture, oiliness and erythema when cosmetics containing curcumin and soybean extract were used. Therefore, it showed the possibilities of the utilization of curcumin and soybean extract to be used as cosmetics for acne skin.

• Convergence Security Journal
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• v.7 no.2
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• pp.101-106
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• 2007

Recently, Ubiquitous innovation is being promoted so that they can support the uHealthcare provide management to human's health. It is thus necessary to conduct such research on the medical care environment where there is a high demand for utilization of status information. In the current situation, there is a lack of research on measures of security processing and monitoring patient status information produced from rapid growth of infra within Medical environment. This study suggests a solution of using RFID to gather patient information such as inpatient information, location of treatment room, progress of patient, humidity, temperature, and diagnostic status, after which the information are protect and processed using security level method.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.267-274
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• 2017

Recently, there is a new trend about internet of things (IoT) such as shops with smart mirror around the fashion and beauty industry. Since smart mirror can display a content through a monitor which is attached to back of mirror system while looking through a mirror, it can be applied to various industries such as fashion, beauty and health care. This paper proposes an efficient learning system requiring no assistance from others for the hearing deaf who atrophy verbal skill and are inaccurate in pronunciation by using features of smart mirror. Also, this system proposes an efficient and simple lip reading method which can be applied to an embedded system and improves a learning efficiency by employing previously verified pronunciation training data.