• Quality Improvement in Health Care
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• v.9 no.2
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• pp.176-197
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• 2002

Backgound : This study is to suggest the standardized format of the clinical sheets and the standardized items of every clinical sheet. The standardization of the medical records will increase the faithfullnes of the contents in them and it will contribute to construct the good health information system. Method : From Jan. 1st. 2001 to March 31st 2001, we gathered as many paper clinical sheets as possible by every class of institutions to review the faithfulness of the clinical contents in them. Clinical sheets of 9 tertiary care hospitals, 6 general hospitals and 56 clinics were gathered. Two experienced medical record administrators reviewed them. The review focus was to check whether the items recommend by the hospital standardization review criteria and hospital service evaluation organization were appeared in the clinical sheets and whether the contents of every item were written. Results : Tertiary care hospitals; In case of administrative data, the contents were filled well if the items were fixed. The clinical data like C.C, history,physical examiniation were filled well, but if the items were not fixed, some items were omitted. The result is that more items are to be filled if they are fixed. General hospitals Administrative data were filled more than 50%. Final diagnosis was filled about 66.7%.But other clinical data were not filled well and not many clinical related items were appeared in the sheets.In the legal point of view, the reason for visiting hosptals or the right diagnosis, patient condition at discharge could not be confirmed well.In surgery cases, surgical procedures could not be confirmed well as many surgical related information(surgery time, fluids and blood, number of sponges, biopsy, etc) were omitted. Clinics More than 70% administrative data were filled and fixed as items. Among the clinical related data, laboratory result was the most credible data. But without the right diagnosis, drug orders were given and doctors' written signatures were not appeared over 96.4%. So the clinical sheets cannot be used as a legal document. Conculusion : There was a tendency that the contents were filled well if the items were fixed in the documents, We also suggest a clinical check list to review the completeness and faithfulness of the clinical sheets. If many hospitals use the suggested clincal check list and if they make the necessary items fixed in the clinical sheets, the quality of the medical record will increase dramatically.

• Korean Journal of Clinical Laboratory Science
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• v.48 no.4
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• pp.348-354
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• 2016

Data stored in hospital information systems has a great potential to improve adequacy assessment and quality management. Moreover, an establishment of a data warehouse has been known to improve quality management and to offer help to clinicians. This study constructed a data mart that can be used to analyze antibiotic usage as a part of systematic and effective data analysis of infection control information. Metadata was designed by using the XML DTD method after selecting components and evaluation measures for infection control. OLAP-a multidimensional analysis tool-for antibiotic usage analysis was developed by building a data mart through modeling. Experimental data were obtained from data on antibiotic usage at a university hospital in Cheonan area for one month in July of 1997. The major components of infection control metadata were antibiotic resistance information, antibiotic usage information, infection information, laboratory test information, patient information, and infection related costs. Among them, a data mart was constructed by designing a database to apply antibiotic usage information to a star schema. In addition, OLAP was demonstrated by calculating the statistics of antibiotic usage for one month. This study reports the development of a data mart on antibiotic usage for infection control through the implementation of XML and OLAP techniques. Building a conceptual, structured data mart would allow for a rapid delivery and diverse analysis of infection control information.

• Korean Journal of Clinical Laboratory Science
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• v.44 no.4
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• pp.210-215
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• 2012

Hepatitis virus infection is one of the major problems in Korea. To establish preventive measures for hepatitis A and B virus infection, study on sero-positivity of serum anti-HAV (aHAV) and anti-HBs (aHBs) is needed. The aim of this study was to analyze the sero-positivity and related factors of aHAV and aHBs. We analysed the sero-positivity of serum aHAV and aHBs using ICA (Immunochromatography Assay) method from 102 university students and employees and questionnaire survey was obtained characteristics, vaccination history, past history test, knowledge and information sources of the study subjects. Overall sero-positivity rates of serum aHAV and aHBs were 20.6% and 52.9%, respectively. The sero-positivity rate of aHBs was significantly different by gender (M, 34.9%; F,66.1%) and that of aHAV was significantly different by age (20 age group, 2.7%; 30 age group, 14.3%; 40 age group, 70%; 50 age group, 91.7%). Overall sero-positivity rates of serum aHAV and aHBs by vaccination history rates were 4.9% and 43.1%, respectively. Overall sero-positivity rates of serum aHAV and aHBs by past history test were 10.8% and 52.9%, respectively. Sero-positivity rates of serum aHAV was low in university students. The results of this study could be used effectively as a basic data for establishing effective preventive measures for hepatitis A including vaccination.

• Biomedical Science Letters
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• v.25 no.4
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• pp.381-389
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• 2019

The physiological function test is the only patient contact area in the field of clinical laboratory. We need to recruit and encourage the experts due to requiring the expertise and long time for examination. However, there is currently no rule for estimating optimal workforce in the field of physiological function tests. The purpose of this study is to establish the basis of the studies for mid- to long-long term job creation in the field of ultrasound by evaluating the number of appropriate tests and appropriate workforce. We calculated the quantitative and qualitative workload for the number of appropriate tests and appropriate workforce using online questionnaire. All statistical analyses were performed using SPSS version 18.0 (SPSS Inc., Chicago, IL, USA). A total of 216 respondents were 48 (22.2%) male and 168 (77.8%) female. A total of 157 laboratories were 62 (39.5%) for echocardiography, 91 (58.0%) for the transcranial Doppler (TCD) and 4 (5.7%) for the carotid ultrasound. The mean number of appropriate tests was 10 ± 2 in the echocardiography, 9 ± 2 in TCD and 11 ± 2 in the carotid ultrasound. In addition, the number of laboratories required to recruit employees for appropriate workforce was 19 in echocardiography, 18 in TCD, and 0 in carotid ultrasound. The number of hospital required to recruit workforce were 7 primary hospitals, 22 secondary hospitals, 7 third hospitals. This study can be used as an important data as the first study at present time when the data on the workforce status and work environment of the ultrasonic laboratories is insufficient. Based on the quantitative and qualitative workloads, the number of appropriate tests and appropriate workforce can support mid- to long-long term job creation in the field of ultrasound.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3159-3163
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• 2012

Background: For cervical cancer the epidemiological profile is poorly known in Morocco and no data is available concerning the direct medical costs. The purpose of this work is to estimate the direct cost of medical management of invasive cervical cancer during the first year after diagnosis in Morocco. Methods: The estimation of direct costs of medical management of invasive cervical cancer during the first year after diagnosis in Morocco is based on the estimation of individual cost in each stage which covers diagnosis, treatment and follow-up during first year. The cost was estimated per patient and whole cycle-set using the costs for each drug and procedure as indicated by the Moroccan National Agency for Health Insurance. Extrapolation of the results to the whole country was used to calculate the total annual cost of cervical cancer treatments in Morocco. Results: Overall approximately 1,978 new cases of cervical cancer occur each year in Morocco. The majority (82.96%) of these cases were diagnosed at a late stage (stageII or more). The cost of one case of cervical cancer depends on stage of diagnosis, the lowest cost is $382 for stageCis followed by the cost of stageIA1 for young women (< 40 years) which is $2,952. The highest cost is for stageIV, which is $7,827. The total cost of cervical cancer care for one year after diagnosis is estimated at $13,589,360. The share allocated to treatment is the most important part of the global care budget with an annual sum of $13,027,609 whereas other cost components are represented as follows: $435,694 for annual follow-up activity and $126,057 for diagnosis and preclinical staging. Conclusion: This study provides health decision-makers with a first estimate of costs and the opportunity to achieve the optimal use of available data to estimate the needs of health facilities in Morocco.

• Journal of Periodontal and Implant Science
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• v.51 no.3
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• pp.147-162
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• 2021

Purpose: This systematic review and meta-analysis was conducted to assess the effects of glycine powder air-polishing (GPAP) in patients during supportive periodontal therapy (SPT) compared to hand instrumentation and ultrasonic scaling. Methods: The authors searched for randomized clinical trials in 8 electronic databases for relevant studies through November 15, 2019. The eligibility criteria were as follows: population, patients with chronic periodontitis undergoing SPT; intervention and comparison, patients treated by GPAP with a standard/nozzle type jet or mechanical instrumentation; and outcomes, bleeding on probing (BOP), patient discomfort/pain (assessed by a visual analogue scale [VAS]), probing depth (PD), gingival recession (Rec), plaque index (PI), clinical attachment level (CAL), gingival epithelium score, and subgingival bacteria count. After extracting the data and assessing the risk of bias, the authors performed the meta-analysis. Results: In total, 17 studies were included in this study. The difference of means for BOP in patients who received GPAP was lower (difference of means: -8.02%; 95% confidence interval [CI], -12.10% to -3.95%; P<0.00001; I²=10%) than that in patients treated with hand instrumentation. The results of patient discomfort/pain measured by a VAS (difference of means: -1.48, 95% CI, -1.90 to -1.06; P<0.001; I²=83%) indicated that treatment with GPAP might be less painful than ultrasonic scaling. The results of PD, Rec, PI, and CAL showed that GPAP had no advantage over hand instrumentation or ultrasonic scaling. Conclusions: The findings of this study suggest that GPAP may alleviate gingival inflammation more effectively and be less painful than traditional methods, which makes it a promising alternative for dental clinical use. With regards to PD, Rec, PI, and CAL, there was insufficient evidence to support a difference among GPAP, hand instrumentation, and ultrasonic scaling. Higher-quality studies are still needed to assess the effects of GPAP.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.2
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• pp.103-109
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• 2022

In December 2019, the coronavirus disease 2019 (COVID-19) caused by the virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China and spread rapidly around the world, infecting millions of people. Cases of COVID-19 infection were observed to lead to viral pneumonia. Thirty-five patients admitted to the Gyeonggi Medical Center, South Korea, between November 2020 to January 2021, were found to have been infected with the influenza virus A and B, which cause symptoms similar to COVID-19. The records of these patients and those of COVID-19 patients who visited the hospital for medical examination were compared. The study patients included thirty patients with COVID-19 and/or influenza, five of those with influenza alone. A group of 121 patients without infection was used as control. Patients with COVID-19 and influenza had significantly higher lactate dehydrogenase levels than the patients with COVID-19 alone. The erythrocyte sedimentation rate (ESR) was higher in patients with COVID-19 alone than in other groups. Significant clinical outliers were observed in the COVID-19 and influenza infection group compared with the COVID-19 alone group. These results are expected to play an important role in the analysis of the hematological data of infected patients and the comparison of simultaneous and single infection data to determine clinical symptoms and other signs. These results may also assist in the development of vaccines and treatments for COVID-19.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.826-842
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• 2024

As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1343-1351
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• 2010

Sample size determination is very important part in clinical trials because it influences the time and the cost of the experimental studies. In this article, we consider the Bayesian methods for sample size determination based on hypothesis testing. Specifically we compare the usual Bayesian method using Bayes factor with the decision theoretic method using Bayesian reference criterion in mean difference problem for the normal case with known variances. We illustrate two procedures numerically as well as graphically.

• Journal of Korean Clinical Nursing Research
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• v.17 no.3
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• pp.307-318
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• 2011

Purpose: This study was to identify topics for evidence-based clinical nursing practice guidelines in Korea. Methods: Data were collected from 330 staff nurses from 10 general hospitals and 53 nurses in charge of nursing education in 110 hospitals with over 500 beds. Using open questions, the nurses identified activities which could not be verified, which lacked consistency among nurses, clinical units and/or hospitals, which were not based on the up-to-date knowledge and which needed reform. The data were analysed by content analysis using a qualitative methodology. Results: Collected data consisted of 1882 clinical topics, which were classified into 50 topics, 207 mid-categories, and 456 sub-categories. The most frequent topics in order of frequency were medications, central line management, intravenous injections, urinary catheterization, perioperative nursing care, skin tests, pressure ulcer care, blood transfusions, laboratory examination-culture, respiratory care which were performed routinely in clinical setting by staff nurses. Conclusion: The research findings indicate the urgent need to develop evidence-based clinical nursing practice guidelines related to these research findings. Further research is needed to identify topics related to health promotion, and symptom/management of health problem.