• Journal of the Society of Disaster Information
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• v.14 no.1
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• pp.28-35
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• 2018

The following research has focused and implemented on designing a system that classifies the severity of mass casualty situations across both normal and disaster levels. The system's algorithm has implemented requirements such as accuracy as well as user convenience. The developed e-Triage System has applied various severity classification algorithms implemented from IoT concepts. In order to overcome flaws of currently used severity classification systems, the e-Triage System used electronic elements including the NFC module. By using the mobile application's severity classification algorithm the system demonstrated quick and accurate assessment of patient. Four different LED lamps visualized the severity classification results and RTS scores were portrayed through FND(Flexible Numeric Display) after a two wave classification.

• Proceedings of the Korea Contents Association Conference
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• 2012.05a
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• pp.343-344
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• 2012

본 연구는 중증도가 높은 신경계중환자를 대상으로 중환자 중증도 분류도구와 Glasgow coma scale 적용의 유용성을 검정하고자 하는데 있다. 본 연구에서 대상자의 일반적 특성 및 임상 관련 특성에 따른 사망률 확인, 중환자 중증도 분류도구(CPSCS)의 일반적 특성, 임상관련 특성에 따른 중증도 차이, GCS의 일반적 특성과 임상관련 특성에 따른 중증도 차이를 파악하고, 임상적 유용성을 검정하고자 한다.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.98-103
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• 2020

The purpose of this study was to determine whether the results of KTAS(Korean Triage and Acuity Scale) triage classifier differ according to the occupations. We analyzed a total of 10,960,359 cases of data sent to the NEDIS from January 1st, 2016 to December 31th, 2017. The triage classifier were MD(Medical Doctor), R(Resident), INT(Intern), GP(General Practitioner), RN(Registered Nurses) and EMT(Emergency Medical Technician). The consistency between the initial triage and final triage results was the highest GP(98.9%) and the lowest INT(80.2%). The results of over-triage classification was the lowest by GP(0.6%) and the highest for INT(16.0%). Also, the results of under-triage classification was the lowest by MD, EMT(0.4%) and the highest for INT(3.8%). The results of KTAS triage classifier significantly differ from according to the occupations(p<0.001). Triage classification should not differ from according to occupations and skill. It is necessary to strengthen the classifier's capacity for accurate triage classifications.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.317-320
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• 2021

본 연구는 주기적인 알츠하이머 병의 중증도 모니터링을 위해 스마트 인솔을 통한 보행 특징 추출과 머신러닝 기반 중증도 분류의 성능에 대해 살펴보았다. 최근 고령화가 가속화되는 추세에 있어 치매 환자가 급증하고 있으며, 중증도가 심해질수록 필요한 치료 비용 및 노력이 급증하기 때문에 조기 진단이 최선의 치료 전략으로 보여진다. 환자 친화적이고 저비용의 관성 측정 장치가 내장된 스마트 인솔만을 사용하여 다양한 보행 실험 패러다임에서 환자의 보행 특징을 추출하고, 이를 알츠하이머 병의 중증도 진단을 위한 머신러닝 기반 분류기를 훈련시켜 성능을 평가한 결과, 숫자세기와 같이 뇌에 부하를 주는 하위 작업이 포함된 복합 보행을 측정한 데이터셋을 사용하여 훈련된 분류 모델이 일반 걷기 데이터셋을 사용한 모델보다 성능이 높게 나타나는 것이 관찰되었다. 본 연구는 안전하고 환경적 제약이 적은 방법을 사용하여 시기 적절한 진단뿐만 아니라 주기적인 중증도 모니터링 시스템의 일환으로 활용될 수 있을 것이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.626-634
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• 2018

This retrospective study investigates the accuracy of triage procedures for pediatric patients in emergency departments (EDs) using the Korean Triage and Acuity Scale (KTAS). The study includes 250 randomly selected initial nursing records and clinical outcomes of pediatric patients who visited one regional ED or a local ED from October 2016 to September 2017. The collected data were analyzed by a qualified expert to determine the true triage score. The accuracy of triage was defined as the agreement between the triage score of the emergency nurses (ENs) and the true triage score as determined by the expert. Based on expert comments, the cause of the triage error was analyzed and the KTAS score was compared with the discharge, length of stay (LOS), and medical cost. The results showed that the degree of agreement in the triage score between the experts and the ENs was excellent (weighted kappa=0.77). Among the causes of triage discordance, the most frequent was the incorrect application of vital signs to the KTAS algorithm criteria (n=13). Patients with high severity KTAS levels 1 and 2 were discharged less often (${\chi}=43.25$, p<0.001). There were significant differences in the length of stay (F=12.39, p<0.001) and cost (F=11.78, p<0.001) between KTAS scores when adjusting for age. The results of this study indicate that KTAS is highly accurate in EDs. Hence, the newly developed triage tool is becoming well established in Korea.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.1-7
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• 2022

The study was conducted to determine the effectiveness of the triage training program utilizing pre-and post-training experiments designed for 119 emergency medical services teams. Objectives: This study evaluated the effectiveness of triage training programs on the accuracy of triage performed by 119 emergency medical services team staff who participated in the triage training program. Behavior: Participants in this study included 119 of the 166 EMS staff. In this program, a modified START triage consisting of a 20-minute theoretical presentation was presented to the participants. Data were analyzed using SPSS 21.0. Results: A significant increase in triage accuracy for 119 EMS teams(p<.001). And undertriage showed a significant decrease(p<.001). In addition, overtriage showed a decrease but was not statistically significant. Conclusions: The results obtained from this study showed that the triage training program was effective in improving the accuracy of the triage of multiple injury patients or disaster victims when presented to the 119 emergency medical services team. Therefore, these results suggest that it would be helpful to add triage training to the fire department's formal training program.

• Journal of Industrial Convergence
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• v.20 no.8
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• pp.85-96
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• 2022

The aim of this retrospective study was to compare risk factors between men and women through secondary data of nursing information and medical records according to the severity classification in patients of 340 men and 221 women with coronary artery disease(CAD) who were admitted for the first time at a general hospital and underwent first coronary artery angiography. Consequently, men presented with risk factors such as age(p=.004), total cholesterol(p=.040), triglycerides(p=.049), HbA1c(p<.001), smoking(p<.001), alcohol consumption(p=.002) and comorbidities(p=.036) that showed statistically significant differences. Among women, age(p=.002) and comorbidities (p=.018) were the only factors that showed significant differences. Significant risk factors influencing the classification of CAD severity in men were total cholesterol (OR 0.97, 95% CI 0.96-1.00, p=.014) in 1VD, alcohol consumption (OR 52.47, 95% CI 2.99-91.95, p=.007)in 2VD, and total cholesterol in the 3VD(OR 0.98, 95% CI 0.95-0.98, p=.026). A significant risk factor affecting the classification of CAD severity in women was comorbidity (OR 0.30, 95% CI 0.11-0.82, p=.020) in the 3VD. This study identified the importance of nursing care for male CAD patients, such as smoking cessation and quitting drinking, blood sugar control, cholesterol, and accompanying disease management, and provided evidence of individually tailored nursing care.

• Phonetics and Speech Sciences
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• v.13 no.2
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• pp.57-66
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• 2021

This study focuses on the issue of automatic severity classification of dysarthric speakers based on speech intelligibility. Speech intelligibility is a complex measure that is affected by the features of multiple speech dimensions. However, most previous studies are restricted to using features from a single speech dimension. To effectively capture the characteristics of the speech disorder, we extracted features of multiple speech dimensions: voice quality, prosody, and pronunciation. Voice quality consists of jitter, shimmer, Harmonic to Noise Ratio (HNR), number of voice breaks, and degree of voice breaks. Prosody includes speech rate (total duration, speech duration, speaking rate, articulation rate), pitch (F0 mean/std/min/max/med/25quartile/75 quartile), and rhythm (%V, deltas, Varcos, rPVIs, nPVIs). Pronunciation contains Percentage of Correct Phonemes (Percentage of Correct Consonants/Vowels/Total phonemes) and degree of vowel distortion (Vowel Space Area, Formant Centralized Ratio, Vowel Articulatory Index, F2-Ratio). Experiments were conducted using various feature combinations. The experimental results indicate that using features from all three speech dimensions gives the best result, with a 80.15 F1-score, compared to using features from just one or two speech dimensions. The result implies voice quality, prosody, and pronunciation features should all be considered in automatic severity classification of dysarthria.

• Tuberculosis and Respiratory Diseases
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• v.58 no.5
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• pp.507-514
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• 2005

Background : Measurement of the $FEV_1$ and PEFR in COPD patients is a significant indicator of the disease severity, the response to treatment and the acute exacerbation. However, it is not known if PEFR can be used to determine the severity of COPD because the agreement between PEFR and $FEV_1$ in COPD patients is not well known. Methods : From September, 2003 to August, 2004, 125 out patients with COPD who were treated at the pulmonary clinic in KonKuk University Hospital were enrolled in this study. The $FEV_1$ and PEFR of each patient were measured and all the data was analyzed using SPSS. Results : The average predicted $FEV_1$ % and PEFR % was $56.98{\pm}18.21%$ and $70{\pm}27.60%$, respectively. There was linear correlation between the predicted $FEV_1$ % and predicted PEFR %. There was no correlation between age of the COPD patients and the predicted PEFR %. There was correlation between dyspnea, which is a subjective symptom of the patients, and the predicted PEFR %. Conclusion : In COPD patients, the classification of the severity by PEFR tends to underestimate the state of the disease compared with the classification of the severity by the $FEV_1$. Therefore, the classification of the severity by PEFR should be interpreted carefully in patients with severe symptoms. Once the classification of the severity has made, the follow-up examination may use the PEFR instead of the $FEV_1$.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.11
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• pp.5238-5246
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• 2012

This study was done to identify the evaluation of CPSCS for neurocritical patients and provide effective nursing interventions for these patients. Data were collected from medical records of 203 neurocritical patients over 18 years of age who were admitted to the ICU of C University Hospital during the period from January 2008 to May 2009 and from October 2011 to December 2011. Collected data were analyzed through t-test, ANOVA test, Person's correlation analysis, trend analysis, stepwise multiple regression. The average CPSCS score was $112.09{\pm}18.91$ and there was a significant trendency for higher severity to lead to higher CPSCS's scores(survival: J-T:9.795, die: J-T:5.415, p=<.001). The scores of the respective areas follows measurement of vital sign($3.74{\pm}2.15$), monitoring($28.97{\pm}4.31$), activity daily living ($34.99{\pm}3.66$), feeding($.19{\pm}.98$), intravenous infusion ($18.20{\pm}8.27$), treatment/procedure ($16.93{\pm}4.90$), respiratory therapy($8.61{\pm}7.07$). By means of stepwise multiple regression analysis, the intravenous therapy & medication, respiratory therapy, activities of daily living, and monitoring area that contains the model showed a significant (F=2073.963, p<.001), and they explained 98.1% of CPSCS. These findings provide information that is relevant in designing interventions to enhance CPSCS among neurocritical patients in hospital.