• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.374-380
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• 2017

In this study, we analyzed the situation of the 119 emergency medical service zone of H town, countryside of Y city from January 1st, 2015 to December 31st, 2016 and then, on the basis of this analysis, we investigated the present condition of the patient-transportation service of the 119 emergency medical service to provide the basic data in order for patients to use the emergency medical service more efficiently. We analyzed the data with SPSS 21.0 using frequency analysis and, after positioning the virtual 119 emergency medical service, we analyzed the data of the transportation time and transportation distance by using GIS. The results of this study show that the use of the 119 emergency medical service for people over 65 years old represents approximately 57% of the total number of patients transported, The average distance and time of the real moving reaction are 6.41 km and 11.86 min, respectively. The distance and time from the pick-up location to the hospital are 18.24 km and 21.52 min, respectively. Given the present position of the 119 emergency medical service, the results of this analysis using GPS show that the (average) distance and time from the 119 emergency medical service to Jang * Ri town are 9.12 km and 12 min, and the (average) total distance and time to arrive at the hospital after the emergency medical service picks up the patient are 36.83 km and 62 min, respectively. In the case of the virtual emergency medical service, the total distance and time required to arrive at the hospital after the emergency medical service picks up the patient are 27.71km and 50min, respectively. The results of this study showed that the present position of the 119 emergency service does not provide the optimum distance and time from the patient's location to the hospital. Therefore, we consider that the repositioning of the 119 emergency medical center is necessary, in order to reduce the time required for the emergency medical service to move to the patient's location and then bring the patient to the hospital.

• Journal of The Korean Society of Clinical Toxicology
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• v.5 no.2
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• pp.106-111
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• 2007

Purpose: Inadequate hospital stocking and unavailability of essential antidotes is a worldwide problem. The purpose of this study was to determine the adequacy of antidote stocks in Korean hospitals based on a modified version of US antidote stocking guidelines. Methods: Both written and telephone surveys to collect information on hospital demographics and antidote stocking were given to the emergency departments or hospital pharmacies of 117 hospitals with emergency medical centers. The twenty antidotes included in the survey were taken from year 2000 US antidote stocking guidelines, except for activated charcoal and black widow spider antivenin. Antidote stocks were compared by hospital size, geographic location, and type of emergency medical center. Results: Complete responses were received from all hospitals. A mean of $12.4{\pm}2.9$ antidotes were adequately stocked per hospital. All hospitals stocked atropine, $CaCl_2$ naloxone, and sodium bicarbonate. However, digoxin Fab fragment (16%), cyanide kits (15%), EDTA (10%), BAL (9%), and fomepizole (1%) were not uniformly stocked. Large and teaching hospitals were significantly more likely to stock greater numbers of antidotes. Conclusions: Korean hospitals as a group do not have adequate antidote stocks. Korean stocking guidelines and an antidote management system are recommended in order to correct these deficiencies.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.7
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• pp.275-280
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• 2018

As the global population becomes aging, the demand for health services for the elderly is expected to increase. In particular, The elderly visiting the emergency department sometimes have complex medical, social, and physical problems, such as having a variety of illnesses or complaints of unusual symptoms. The proposed system is designed to predict the mortality of the elderly patients who are over 65 years old and have admitted the emergency department. For mortality prediction, we compare the support vector machines and Feed Forward Neural Network (FFNN) trained with medical data such as age, sex, blood pressure, body temperature, etc. The results of the FFNN with a hidden layer are best in the mortality prediction, and F1 score and the AUC is 52.0%, 88.6% respectively. If we improve the performance of the proposed system by extracting better medical features, we will be able to provide better medical services through an effective and quick allocation of medical resources for the elderly patients visiting the emergency department.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.11-23
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• 2024

Triage is a practice of accurately prioritizing patients in emergency department (ED) based on their medical condition to provide them with proper treatment service. The variation in triage assessment among medical staff can cause mis-triage which affect the patients negatively. Developing ED triage system based on machine learning (ML) techniques can lead to accurate and efficient triage outcomes. This study aspires to develop a triage system using machine learning techniques to predict ED triage levels using patients' information. We conducted a retrospective study using Security Forces Hospital ED data, from 2021 through 2023 during Hajj period in Saudia Arabi. Using demographics, vital signs, and chief complaints as predictors, two machine learning models were investigated, naming gradient boosted decision tree (XGB) and deep neural network (DNN). The models were trained to predict ED triage levels and their predictive performance was evaluated using area under the receiver operating characteristic curve (AUC) and confusion matrix. A total of 11,584 ED visits were collected and used in this study. XGB and DNN models exhibit high abilities in the predicting performance with AUC-ROC scores 0.85 and 0.82, respectively. Compared to the traditional approach, our proposed system demonstrated better performance and can be implemented in real-world clinical settings. Utilizing ML applications can power the triage decision-making, clinical care, and resource utilization.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.123-129
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• 2019

This study selected all patients with acute poisoning carried by the 119 emergency services in K-Province from January 1 to December 31, 2015 for complete enumeration. The subjects were 1,627 patients who were classified as poisoning suspected in chemicals and animal/insect poisoning by Rescue Emergency Activity Information System(Emergency Statistics) in fire-fighting portal system of K-province fire-fighting officers. The 119 activity journals were analyzed retrospectively. The major results are as follows. Regarding the demographic characteristics of the elderly and the non-elderly, the most people were unemployed in the elderly group, other job, the non elderly group about their occupations and in both groups, the most people lived in rural areas about their living places. Regarding the poisoning characteristics of the elderly and the non-elderly, the most causing substance was bee sting about the poisoning causing substances and most of patients didn't get drunken about drunken state in both group. Regarding the time factors of the elderly and the non-elderly, both groups had the most accidents in afternoon about the poisoning time and in summer about the seasonal distribution.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.1
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• pp.40-45
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• 2007

In this paper, aim to suggest the medical information wireless transmission system to provide the mobility of medical service by means of wireless area network which makes it possible, home or at a long range, to check and oversee the state of patients, and to can out a simulation. The proposed method converts medical information to digital data in an emergency and sends them to mobile terminals such as PDAs to make possible swift first aid. The simulation took advantage of the OFDM transmission method based on IEEE 802.1la in order to send reliable medical information in mobile wireless channel environment, and analyzed the system performance by applying convolution encoding to transmit reliable information in AWGN and 3-ray mobile multipath fading channel environment.

• International Journal of Quality Innovation
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• v.9 no.3
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• pp.1-14
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• 2008

Patient satisfaction with the Emergency Department(ED) in a hospital is related to the length of stay, and especially to the amount of waiting time for medical treatments. ED overcrowding decreases quality and efficiency, therefore affecting hospitals' profitability. This paper presents a forecasting and simulation model for resource management of the ED at Moses H. Cone Memorial Hospital. A linear regression forecasting model is proposed to predict the number of ED patient arrivals, and then a simulation model is provided to estimate the length of stay of ED patients, system throughput, and the utilization of resources such as triage nurses, patient beds, registered nurses, and medical doctors. The near future load level of each resource is presented using the proposed models.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.48 no.10
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• pp.43-52
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• 2011

In this paper, we propose the architecture of the policy-based emergency bio data transmission for the smart healthcare service. the medical staff can quickly and accurately monitor the emergency bio data of the remote patient through the proposed architecture. The proposed system consists of three parts: IEEE 11073-based agents and managers performing the aggregation function and transmission function of the bio data; the emergency management server performing the converting function between IEEE 11073 and HL7 and auto-diagnosis function of the policy-based; HL7 medical system based on HL7. Finally, by implementing the proposed system, we shows that the aggregation of the bio data and management of the emergency bio data in the smart healthcare service are possible.

• Journal of the Society of Disaster Information
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• v.1 no.1
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• pp.73-89
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• 2005

The disaster preparedness system in Korea has been developed in spite of many obstacles, but there are still many problems for response to newly emerging terrorisms due to the existing problems of disaster response system. The newly emerging terrorism in 21th century like biochemical terrorism has made us focus on terrorism preparedness, but health and medical aspect of terrorism has been overlooked. The health disaster system is more necessary for 21th terrorism response as well as the disaster engineering, economic and administrative aspects. The disaster preparedness system for bioterrorism has been developed by Ministry of Health with syndromic surveillance system and no case has been found in Korea yet and the resources of personnel and equipment as decontamination system in medical facilities are lacking in case of chemical terrorism. So through the multiple access method reflecting the risk factors in real terrorism field and human based health disaster concept, the disaster preparedness and response system to make up for the weak point should be suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.381-383
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• 2022

This study evaluated the completeness of emergency medical service (EMS) activity reports. In all, 67,830 cases of normal transfers were statistically analyzed using IBM SPSS Statistics version 22, and statistical significance was set at p <0.5. The 119EMT_2 certificate was omitted in 50,037 (73.8%) cases, followed by time-related items in 1,227 (1.8%) cases. In the primary assessment of vital signs, systolic blood pressure was omitted and erroneous in 1,218 (1.9%) and 1,129 (1.8%) cases, respectively. In the secondary assessment, the completeness of all vital sign items was approximately 70%. As the severity of the patient's condition increased, the errors in the EMS activity report also increased, at a significant level (p=.00). Paramedics must be aware of the importance of completing the activity report.