• Journal of Korean Clinical Nursing Research
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• v.25 no.2
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• pp.120-132
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• 2019

Purpose: This study aimed to investigate the performance of patient engagement nursing services perceived by nurses and necessity in Korea. Methods: This study was a descriptive research. A total of 205 nurses participated in the study. The Smart Patient Engagement Assessment Checklist was developed by the investigators to assess patient engagement nursing services performance and necessity. The data were collected using online survey. Descriptive analysis and $x^2$ analysis were performed using SPSS 25.0 program. Results: The mean age of participants was $36.6{\pm}8.5years$ and the mean working experience was $12.92{\pm}9.23years$. Seventy eight percent of participants reported that patients and family participated in care as advisors through customer's suggestion or patient satisfaction assessment. The rate of patients' and family's engagement in care as advisors was significantly higher in tertiary hospitals ($x^2=28.54$, p<.001). About 89% of participants communicated with patients and family to make clinical decisions with a multidisciplinary approach. The rate of communication for multidisciplinary decision making was significantly higher in tertiary hospitals ($x^2=6.30$, p=.012). With regards to nurses' bedside patient handoff, 22.0% of participants reported that they were performing bedside patient handoff, and there was no significant difference between type of hospitals. About discharge planning, 72.2% of participants reported utilizing discharge checklist. Conclusion: Currently, patient engagement nursing services are applied partially in Korea. It seems that care protocols to be applied for patient engagement nursing services are insufficient. Therefore, patient engagement care protocols need to be developed to improve patient's health outcome and safety.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• The Korean Society of Law and Medicine
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• v.24 no.4
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• pp.37-63
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• 2023

In medical litigation, there are various cases where a doctor's 'explanation' of a patient becomes problematic. Medical explanations and guidance are required from the doctor, starting from the beginning of diagnosis, through treatment processes such as surgery, when hospitalization is necessary for treatment, during hospitalization, upon discharge, and after discharge. Furthermore, notification from the doctor or medical institution may be requested regarding the economic costs that will be incurred due to medical treatment. South Korea's judiciary has been developing legal principles regarding such doctor's explanations by distinguishing between explanations for obtaining consent for medical treatment and medical explanations related to guidance on patient treatment methods, taking into account related laws such as the stage of treatment and the Medical Service Act. Additionally, the Constitutional Court recently ruled on the non-benefit cost notification system linked to the explanation of economic costs. However, holding a doctor accountable solely because the doctor's explanation was insufficient has aspects that do not correspond to the actual situation in clinical reality, and may have a reflexive disadvantage that results in a decline in legal rights. Therefore, the doctor's explanation needs to be examined from both perspectives: guaranteeing the patient's right to self-determination and protecting his or her right to decision.

• Journal of Trauma and Injury
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• v.25 no.4
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• pp.159-165
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• 2012

Purpose: For trauma patients, an early-transport and an organized process which are not delayed in hospital stage are necessary. Our hospital developed a procedure, the trauma Critical Pathway (CP), through which a traumatic patient has the priority over other patients, which makes the diagnostic and the therapeutic processes faster than they are for other patients. Methods: The records of patients to whom Trauma CP were applied from January 1, 2011 through April 15. 2012. were reviewed. We checked several time intervals from ER visiting to decision of admission-department, to performing first CT, to applying angio-embolization, to starting emergency operation and to discharging from ER. In addition, outcomes such as duration of ICU stay, hospital stay and mortality were checked and analyzed. Results: The trauma CP was applied to a total of 143 patients, of whom, 48 patients were excluded due to pre-hospital death, ER death, transferring to other hospital and not severe injury. Thus 95 patients (male 64, 67.3%) were enrolled in this study. Fifty-nine patients(62.1%) were injured by the traffic accident. The mortality rate was 10.5% and the mean Revised Trauma Score (RTS) of the patients was $6.4{\pm}2.0$. After visiting ER, decision making for admission was completed, on average, in 3 hours 10 seconds. The mean time intervals for the first CT, angio-embolization, surgery and discharge were 1 hour 20 minutes, 5 hours 16 minutes, 7 hours 26 minutes and 6 hours 13 minutes, respectively. Conclusion: The trauma CP did not show the improvement of time interval outcome, as well as mortality rate. However, this test did show that the trauma CP might be able to reduce delays in procedures for managing trauma patients at the university-based hospitals. To find out the benefit of CP protocol, a large scaled data is required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Korean Journal of Radiology
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• v.23 no.8
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• pp.811-820
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• 2022

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825-0.910) in the training cohort and 0.890 (0.844-0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion: The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.

• Journal of Environmental Policy
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• v.2 no.1
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• pp.31-49
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• 2003

It is difficult to examine the causal relation of pollution damages because the time gap between pollution cause and effect is large and new pollutants are continuously being produced. Their many environmental effects are not promptly studied. As both the study of causal relation about pollution and the pollutant treatment are becoming highly advanced by the development of science and environmental technology, both the economy and balance on environmental regulation may be discussed. It is reasonable to decide environmental policy in consideration of close relation between both the generation and resolution of environmental problems and of technological developments because environmental problems are related to complicated social problems and scientific technologies. First item in policy decision about environmental control and management is preferentially to consider the way of prevention. It is necessary to prevent pollution by regulating the installment of environmental pollution facility into the environmentally sensitive areas, like water supply source and to regulate land utilization as a method to achieve pollution prevention. Second is a consideration of environmental technology development. This is a solution which can accomplish the development of environmental technology and the reinforcement of economic competition. Third is the coexistence of environment and economy. It is necessary to consider economy in connection with environmental problems and environment in economic problem. Then, we can enjoy a healthy life as well as economic affluence. Fourth is the enlargement of environmental management means. Environmental management means must be diversified because environmental cause and effect are varied. For Improving the land use regulation system, it is necessary to consider both land use regulation status and pollutant toxicity with the development of environmental technology. Land use must be approached by classifying land to 3 levels; water source protection zone and water front zone, special zone 1 and 2, rancus and other zones. Land regulation policy to prevent any accident in water source protection zone, waterfront zone, and special zone must be continuously upgraded. However, economical consideration in other zones is required by the development of environmental technology.

• Journal of Korean Society for Quality Management
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• v.39 no.3
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• pp.391-399
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• 2011

Our study was carried out to analyze the variation factors of severity-adjusted length of stay(LOS) in coronary artery bypass graft(CABG). The subjects were 932 CABG inpatients of the Korean National Hospital Discharge In-depth Injury Survey from 2004 through 2008. The data were analyzed using $x^2$ test and the severity-adjusted model was developed using data mining technique. The results of the study were as follows: male(71.1%), older than 61 years of age(61.6%), more than 500 beds(92.8%) and admitting via ambulatory care(70.0%) appeared to have higher rate than otherwise. In-hospital mortality of CABG inpatients was 2.8%. In addition, 46.4% of the patients received their care in other residence. The angina pectoris(45.6%) was found to be the highest in principle diagnosis, followed by chronic ischemic heart disease(36.9%) and acute myocardial infarction(12.0%). We developed severity-adjusted LOS model using the variables such as gender, age and comorbidity. Comparison of adjusted values in predicted LOS revealed that there were significant variations in LOS by location of hospital, bed size, and whether patients received the care in their residences. The variations of LOS can be explained as the indirect indicator for quality variation of medical process. It is suggested that the severity-adjusted LOS model developed in this study should be utilized as a useful method for benchmarking in hospital and it is necessary that national standard clinical practice guideline should be developed.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1182-1186
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• 2006

The decision of design flood in river basins is very important in the aspect of flood control. The design flood of rivers was estimated according to the size and importance of basins. As the damage of floods increases more and more and the importance of defense against floods increases further, the presumption of design flood can be very important. Especially, what influences most greatly flood is rainfall. However, in spite of equal rainfall, the estimated flood differ according to the features of basins. The fact that the features of basins influence greatly the estimation of flood was confirmed by the preceding research results and experiences. However, although many rivers have their own basin features, the research on how these basin features are related to the estimation of design flood, is not yet sufficient. The purpose of this study is to identify how the design flood estimated previously by river arrangement basic plan is correlated with topography factors, and so investigate the correlation between basin topography factors and design flood in order to provide the additional information for the unmeasured basins or the middle/small river basins where their river plan is not established.

• Water for future
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• v.20 no.4
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• pp.267-278
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• 1987

This study aims at the decision of geomorphologic instantaneous unit hydrograph(GIUH) model parameter fore the ungaged or the data deficiented Basin, to analyze rainfall runoff relation in river basin by applying queueing theory with geomorphologic factors.The concept of GIUH model is based upon the principle of queueing theory of rain drops which may follow many possible routes during rainfall period within watershed system to ist outlet. Overland flow and stream flow can be simulated, respectively, by linear reservoir and linear channel conceptual models. Basically, the model is a mon-lineal and time variant hydrologic system model. The techniques of applying are adopted subarea method and mean-value method, the watershed is divided according to its stream number and order. To prove it to be applicable, the GIUH model is applied to the Wi-Stream basin of Nak-Dong River(Basin area; 475.53$\textrm{km}^2$), southen part of Korea. The simulated and the observed direct runoff hydrographs are compared with the peak discharge, times to peak and coefficients of efficiency, respectively, and the results show quite satisfactory.Therefore, th GIUH model can be extensively applied for the runoff analysis in the ungaged and the data deficiented basin.