• Korean Journal of Adult Nursing
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• v.26 no.5
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• pp.500-511
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• 2014

Purpose: The purpose of this study was to investigate predictors of violent behavior by patient or caregiver of patient in the emergency department. Methods: Subjects of the study were 447 residents who have visited the emergency department in community P Metropolitan City during the past year. The data collecting period was from June 1, 2012 to August 31, 2012. Data was collected using self-reported questionnaires. Results: Predictors of violent behavior in the emergency department were divided into personal and institutional factors. Personal factors included relationship with patients, presence of alcohol, reports of discontent during and past treatment and responses to deterioration in patient's conditions, institution factors included perceived attitudes toward medical workers' explanations and proficiency of medical workers, and delay in medical treatment hours. Conclusion: Knowledge of personal and institutional factors may permit emergency staff to minimize or prevent potential violence in the emergency department.

• Journal of information and communication convergence engineering
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• v.11 no.3
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• pp.199-206
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• 2013

An emergency monitoring system for the elderly, which uses acceleration data measured with an accelerometer, angular velocity data measured with a gyroscope, and heart rate measured with an electrocardiogram, is proposed. The proposed fall detection algorithm uses multiple parameter combinations in which all parameters, calculated using tri-axial accelerations and bi-axial angular velocities, are above a certain threshold within a time period. Further, we propose an emergency detection algorithm that monitors the movements of the fallen elderly person, after a fall is detected. The results show that the proposed algorithms can distinguish various types of falls from activities of daily living with 100% sensitivity and 98.75% specificity. In addition, when falls are detected, the emergency detection rate is 100%. This suggests that the presented fall and emergency detection method provides an effective automatic fall detection and emergency alarm system. The proposed algorithms are simple enough to be implemented into an embedded system such as 8051-based microcontroller with 128 kbyte ROM.

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.19-35
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• 2022

Purpose: This study aimed to identify research topics in the emergency medical technician (EMT) field and examine research trends. Methods: In this study, 261 research papers published between January 2000 and May 2022 were collected, and EMT research topics and trends were analyzed using topic modeling techniques. This study used a text mining technique and was conducted using data collection flow, keyword preprocessing, and analysis. Keyword preprocessing and data analysis were done with the RStudio Version 4.0.0 program. Results: Keywords were derived through topic modeling analysis, and eight topics were ultimately identified: patient treatment, various roles, the performance of duties, cardiopulmonary resuscitation, triage systems, job stress, disaster management, and education programs. Conclusion: Based on the research results, it is believed that a study on the development and application of education programs that can successfully increase the emergency care capabilities of EMTs is needed.

• The Korean Journal of Emergency Medical Services
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• v.16 no.2
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• pp.91-102
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• 2012

Purpose : This study was designed to identify factors influencing burnout of nurses in emergency medical center. Methods : Data were collected by questionnaires from 178 emergency room nurses randomly selected from 6 general hospitals in two metropolitan cities. Measures were burnout, QEC, depression, decision latitude and job demand. Data were analysed using frequencies, means, standard deviation, t-test or one way ANOVA, Pearson's correlation coefficients and multiple regression with SPSS/win 18.0 version. Results : The mean score for burnout in emergency room nurses was 2.59 out of possible 4. There were significant differences in burnout according to exercise, leisure, position, job demand and depression. Burnout correlated negatively with exercise and leisure, and positively with job demand and depression. Factors influencing burnout in emergency room nurses were identified as exercise(${\beta}$=-.399, p<.001), leisure(${\beta}$=-.354, p<.001), job demand(${\beta}$=.301, p=.006) and depression(${\beta}$=.189, p=.021). These factors explained 49.8% of burnout reported by emergency room nurses. Conclusion : The result indicate which factors are major factors influencing burnout in emergency room nurses in general hospitals. Therefore, these factors may serve as predictors of burnout in emergency room nurses.

• The Korean Journal of Emergency Medical Services
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• v.23 no.2
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• pp.19-31
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• 2019

Purpose: This study aimed to investigate disaster preparedness competence and disaster response competence of paramedics working in emergency medical centers operating a disaster medical assistance teams. Methods: Data of 174 emergency medical technician(EMT)-paramedics were collected from July 15 to August 14, 2018 at regional and local emergency medical centers that operate disaster medical assistant team. Analysis of the data was carried out with IBM SPSS statistics 24.0 software (IBM, Armonk, NY, USA). Results: The mean disaster preparedness competence score was $3.57{\pm}0.63$ (out of five). Participants' disaster preparedness competence significantly differed according to type of emergency medical center (p<.000), disaster education experience (p<.000), and education frequency (p=.001). The mean disaster response competence score was $4.09{\pm}0.57$ (out of five). Participants' disaster response competence significantly differed according to disaster education experience (p<.000) and medical assistance experience (p=.045). Conclusion: Emergency medical technician-paramedics without disaster training should first be provided with this training. Further, it is important for EMT-paramedics to know their disaster preparedness and response capacities and strengthen their shortcomings. It is also important to develop education and training programs that properly equip EMT-paramedics with practical competencies.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.22 no.10
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• pp.932-939
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• 2012

Recently, data centers are being established because IT and telecommunication industries are growing. The data centers have to install emergency generators to prevent unexpected shutdown of the electrical power supply. When the data centers are located in the densely populated urban area, the operating noise of the emergency generators can be a cause of people's complaints. In this case, it is necessary to establish effective countermeasure by noise & vibration specialists. To achieve this, noise reduction measure using noise measurement data and 3D noise analysis method have been employed in this study.

• International Journal of Contents
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• v.18 no.1
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• pp.56-64
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• 2022

To improve the cooperation ability of emergency entities, in this research, the emergency activities model, skill contribution degree, entity-relationship strength, activity continuity, and emergency entity cooperation degree were defined. Emergency entity cooperation degree and emergency activity continuity table were constructed with emergency cases, emergency plans, and emergency drill plans, and factors were further excavated which affected them. In this paper, we focus on the factors which affect the cooperation ability of emergency entities, the relationship between the emergency cooperation ability and the number of cooperation, entity-relationship intensity, emergency activity frequency, and skill contribution of fire entities and medical entities were obtained. These data results are of great significance to decision-makers in formulating emergency rescue and emergency plans.

• Health Policy and Management
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• v.32 no.2
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• pp.173-179
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• 2022

Background: This study aimed to identify patterns of elderly patients who transferred from long-term care hospitals to emergency rooms and provide the evidence of emergency medical systems to prepare for a super-aged society. Methods: The data source was the National Emergency Department Information System database from January 2014 to December 2019 in Korea. We performed a cross-sectional study among elderly patients (≥65 years) who transferred from a long-term care hospital to an emergency room. Trend analysis was conducted by year. Results: We identified 225,765 elderly patients who were transferred from long-term care hospitals to emergency rooms between January 1, 2014 and December 31, 2019. The proportion of the study population and their mean age were recently increased (p<0.001, respectively). The proportion of elderly patients being re-transferred (p=0.049) and the patients re-transferred to long-term care hospitals is significantly increased (p=0.005). Conclusion: The establishment of efficient emergency medical services for an aging society is important. It is necessary to develop a healthcare network with the government, long-term care hospitals, and medical institutions in the community suitable for preventing disease deterioration.

• Journal of The Korean Society of Clinical Toxicology
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• v.15 no.2
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• pp.86-93
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• 2017

Purpose: Some advanced countries have reported annual statistics for poisoning based on data from poison control centers. This study was conducted to propose a baseline format and statistics of poisoning in Korea from a national representative database. Methods: This study was a retrospective analysis of poisoning patients based on data from an emergency department (ED) based injury in-depth surveillance project by the Korea Centers for Disease Control and Prevention in 2016. Bite or sting injuries were not included. Variables related to poisoning were summarized using a similar format as the National Poison Data System in the United States. Results: A total of 7,820 poisoning patients presented to 23 EDs. Adults ${\geq}20$ years accounted for 84% of the population, while the proportion of intentional poisoning was 59.4%. The most common poisoning substances were therapeutic drugs (45%), gas (21%), pesticides (15%), and artificial toxic substances (13%). Overall, 34.5% of patients were admitted for further treatment. The mortality was 3.2% (248 cases), and the most common causative substances were carbon monoxide, glyphosate, and paraquat, in order. Conclusion: This study showed the recent status of poisoning in Korea. However, a comprehensive poisoning registry based on poison control centers may be required to provide more accurate national statistics in the future.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.11
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• pp.3-11
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• 2013

In smart healthcare service, the accurate and prompt emergency detection and notification are very critical to patients' lives. Since these detection and notification of emergency situation are usually performed by the medical staffs, it is difficult to simultaneously support many patients in real-time. This article presents a methodology for emergency bio-data transmission for smart healthcare using personalized emergency policy. It consists of three steps: In step 1, the bio-data is collected by wireless body area network. In step 2, the decision on emergency is made using personalized emergency policy. In step 3, the emergency message including the health condition information is converted between IEEE 11073 PHD message and HL7 CDA. By doing this, the emergency status of the individual bio-data collected from wireless body area network is detected automatically using personalized emergency policy. When the emergency is detected, the quick emergency rescue service can be provided to the patient by delivering to the emergency notification and the emergency bio-data. We have verified the service and functions of the proposed system architecture by realizing it.