• 제목/요약/키워드: Triage System

검색결과 54건 처리시간 0.018초

눈질환자의 퇴원 후 증상관리를 위한 전화상담 전산 Triage 시스템 개발 (Development of a Computerized Telephone Triage and Consultation System for Patients Discharged with Ophthalmic Disease)

  • 이현정
    • 동서간호학연구지
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    • 제18권2호
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    • pp.95-103
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    • 2012
  • Purpose: This methodological study was done to develop a computerized telephone triage and consultation system for patients discharged with ophthalmic disease in order to provide more efficient practice guidelines for nurses, and evaluate the usability of the system. Methods: Development of the system consisted of six phases: strategic planning, analysis, design, implementation, evaluation, modification, and maintenance. Results: In the strategic planning phase, ophthalmic problems and nursing interventions of triage algorithms and practice guidelines were cross-mapped with the Omaha system. In the analysis phase, users requirements were identified. Then infrastructure including database, nursing knowledge base, and user interface were designed in the implementation phase. Usability and satisfaction of the system presented as very positive. Telephone consultation took about 2 minutes less than time in the previous system. The system was modified based on users' comments during the evaluation phase. Conclusion: This study was the first attempt in Korea to develop computerized triage system to prompt the quality of telephone consultation. It is suggestive that the computerized triage system may improve the quality of nursing.

119 구급대원의 중증도 분류 지식 정도 및 교육 전·후 비교 (Comparison of knowledge level of triage in 119 EMTs)

  • 이효주;조근자
    • 한국응급구조학회지
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    • 제18권1호
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    • pp.43-54
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    • 2014
  • Purpose : The purpose of this study was to provide appropriate direction for triage education by investigating the knowledge level of triage in 119 EMTs before and after the triage education. Methods : The questionnaire was filled out by newly assigned 33 EMTs in the fire service academy in I metropolitan city from November 1, 2013. The data were analyzed using SPSS WIN 21.0 program. Results : The lowest knowledge level by 119 triage was the potential emergency related question, but that by case-based triage was the semi-emergency related questions. The knowledge score by case-based triage before education was 51.14 points. This was lower than knowledge score by 119 triage, that is, 75.70 points. After education, the knowledge level by 119 triage was significantly improved(p =.000). However, there was no significant difference in the knowledge level by case-based triage(p =.236). Conclusion : It is necessary to provide systematic and periodic education and training for 119 EMTs toward triage to improve triage accuracy and efficient circulation of the emergency medical service system. Especially, it is very important to provide case-based triage education for field application.

딥 러닝을 이용한 버그 담당자 자동 배정 연구 (Study on Automatic Bug Triage using Deep Learning)

  • 이선로;김혜민;이찬근;이기성
    • 정보과학회 논문지
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    • 제44권11호
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    • pp.1156-1164
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    • 2017
  • 기존의 버그 담당자 자동 배정 연구들은 대부분 기계학습 알고리즘을 기반으로 예측 시스템을 구축하는 방식이었다. 따라서, 고성능의 기계학습 모델을 적용하는 것이 담당자 자동 배정 시스템 성능의 핵심이 된다고 할 수 있으며 관련 연구에서는 높은 성능을 보이는 SVM, Naive Bayes 등의 기계학습 모델들이 주로 사용되고 있다. 본 논문에서는 기계학습 분야에서 최근 좋은 성능을 보이고 있는 딥 러닝을 버그 담당자 자동 배정에 적용하고 그 성능을 평가한다. 실험 결과, 딥 러닝 기반 Bug Triage 시스템이 활성 개발자 대상 실험에서 48%의 정확도를 달성했으며 이는 기존의 기계학습 대비 최대 69%향상된 결과이다.

환자의 중증도 분류를 고려한 응급실의 진료 프로세스 패턴 분석 (Healthcare Process Pattern Analysis with Triage in the Emergency Department)

  • 심승배;최재형;김보성;오지수;김승호;박유석;박인철;정태녕;오경환;정봉주;이영훈
    • 한국경영과학회지
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    • 제37권4호
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    • pp.111-124
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    • 2012
  • Emergency room process is very important in the whole hospital processes because it is first diagnosis for patient. Above all, triage is important activity which quickly diagnose the status of emergency patient and sets the priority for treatment. This paper analyzes the treatment process pattern by triage type. The results show that the treatment process after triage such as residence time, diagnosis and checkup type, and joint treatment are dependent on triage types. We can use these analysis results for improving the current triage system and developing the new triage system considering a domestic emergency medical service environment.

일개 대도시의 병원전 단계와 병원 단계의 중증도 분류체계 간의 결과 분석 (Comparison with in-hospital Korean Triage and Acuity Scale (KTAS) and prehospital triage system in a metropolitan city)

  • 최효정;김호중;이효주;이보라
    • 대한응급의학회지
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    • 제29권5호
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    • pp.391-398
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    • 2018
  • Objective: This study was conducted to analyze and compare the classifications of a prehospital triage system and an in-hospital triage system. Methods: The records of patients transferred from the '119' emergency service for 5 months (from January 1 to May 31, 2016) were collected and records of first aid activities were assessed. We examined cases classified as four (urgent, semi-urgent, potentially urgent, and non-urgent) of five stages, excluding death. In the hospital, data were collected from medical records and classifications made using the five Korean Triage and Acuity Scale (KTAS) stages (1, resuscitation; 2, emergency; 3, urgent; 4, less urgent; and 5, non-urgent) were analyzed. Results: The number of patients enrolled in the study was 3,457. Of them, 2,301 were discharged after treatment and 1,156 were hospitalized. According to the prehospital triage classification, 726 of the 3,457 cases were urgent, 593 were semi-urgent, 1,944 were potentially urgent, and 194 were non-urgent. The results of the in-hospital triage were as follows: 114 KTAS 1 (3.3%), 491 KTAS 2 (14.2%), 1,345 KTAS 3 (38.9%), 1,227 KTAS 4 (35.5%), and 280 KTAS 5 (8.1%). The odds ratio trend for hospitalization showed a larger decrease according to in-hospital staging (95% CI, 0.32-0.39) than according to prehospital staging (95% CI, 0.50-0.60). The odds ratio trend for intensive care unit (ICU) admission also showed a larger decrease according to in-hospital staging (95% CI, 0.16-0.22) than according to prehospital staging (95% CI, 0.37-0.48). Conclusion: We found little correspondence in classifications made according to the KTAS and prehospital triage systems. However, the tendencies toward decreases in the hospitalization and ICU admission rates were similar.

IoT개념을 활용한 중증도 분류 시스템에 관한 연구 (Research of IoT concept implemented severity classification system)

  • Kim, Seungyong;Kim, Gyeongyong;Hwang, Incheol;Kim, Dongsik
    • 한국재난정보학회 논문집
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    • 제14권1호
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    • pp.28-35
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    • 2018
  • 본 연구에서는 재난현장 또는 일상에서 발생할 수 있는 다수사상자의 중증도 분류를 신속하고 정확하게 수행하기 위한 시스템을 설계하여 구현하였으며, 중증도 분류 알고리즘의 정확도뿐만 아니라 사용자 편의성 등 현장의 요구사항을 적극 반영하였다. 개발된 e-Triage System은 IoT개념을 활용하여 다양한 중증도 분류 알고리즘을 적용하였으며, 기존의 중증도 분류표의 단점을 극복하기 위하여 NFC 모듈 등 전자적 요소를 반영한 e-Triage Tag를 구현하였다. 앱으로 구현된 중증도 분류 알고리즘을 사용하여 신속하고 정확한 환자의 평가가 가능함을 입증하였고, 시인성을 위해 전자 중증도 분류 결과를 4가지 LED램프로 표출하였으며, 2차 분류를 통해 RTS 점수를 FND(Flexible Numeric Display)로 표출하였다.

The Suitability of the CDC Field Triage for Korean Trauma Care

  • Choi, Kang Kook;Jang, Myung Jin;Lee, Min A;Lee, Gil Jae;Yoo, Byungchul;Park, Youngeun;Lee, Jung Nam
    • Journal of Trauma and Injury
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    • 제33권1호
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    • pp.13-17
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    • 2020
  • Purpose: Accurate and appropriate prehospital field triage is essential for a trauma system. The Korean trauma system (established in 2014) uses the trauma field triage algorithm of the United States Centers for Disease Control and Prevention (CDC). This study evaluated the suitability of the CDC field triage criteria for major trauma cases (injury severity score >15) in Korea. Methods: This retrospective cohort study evaluated trauma patients who presented at the authors' regional trauma center from January 1 to May 7, 2017. The undertriage and overtriage rates of each CDC field triage step were calculated. Receiver operating characteristic curves were constructed, and the area under the curve (AUC) was evaluated for each step. Results: Among the 1,009 enrolled patients, 168 (16.7%) had major trauma. The undertriage/overtriage rates of each step (steps I, II, III, and IV) of CDC field triage were 9.2%/47.4%, 6.3%/50.8%, 4.5%/59.4%, and 5.3%/78.9%, respectively. The AUC values of each CDC triage step were 0.722, 0.783, 0.791, and 0.615, respectively. The AUC values of the separate components of each step (physiologic criteria, anatomic criteria, mechanism-of-injury criteria, and special considerations) were 0.722, 0.648, 0.647, and 0.456, respectively. Conclusions: The CDC field triage system is acceptable, but not ideal, for Korean trauma care. If we follow the protocol, it would be preferable to omit step IV. The Korean Triage and Acuity Scale may be a good indicator for in-hospital triage. However, a new triage protocol that is simple to estimate on-scene while having good performance should be developed.

중증도 분류자 직종에 따른 중증도 분류 결과의 차이 비교 (Comparison of KTAS(Korean Triage and Acuity Scale) results by Triage Classifier)

  • 허영진;오미라;김세형;한소현;박윤숙
    • 융합정보논문지
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    • 제10권4호
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    • pp.98-103
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    • 2020
  • 본 연구에서는 KTAS(Korean Triage and Acuity Scale) 결과가 분류를 시행한 주체의 직종에 따른 차이가 있는지를 알아보고자 한다. 2016년 1월 1일부터 2017년 12월 31일까지의 응급의료기관으로 내원한 환자 자료 중, 국가응급진료정보망으로 전송된 자료 총 10,960,359건을 분석하였다. 분류자 직종은 전문의, 전공의, 인턴, 일반의, 간호사, 응급구조사였다. 최초 중증도 분류와 최종 중증도 분류 결과의 일치율은 일반의가 98.9%로 가장 높았고, 인턴이 80.2%로 가장 낮았다. 과대 분류에서는 일반의가 0.6%로 가장 낮았고, 인턴은 16.0%로 가장 높았다. 또한 과소 분류는 전문의와 응급구조사가 0.4%로 가장 낮았고, 인턴이 3.8%로 가장 높았다. 중증도 분류 결과는 직종별 유의미한 차이가 있었다(p<0.001). 중증도 분류는 환자의 예후에 영향을 미치는 요인 중 하나로 직종별, 숙련도에 따라 그 결과가 달라져서는 안 된다. 때문에 정확한 중증도 분류를 위한 분류자의 역량 강화가 필요하다.

중증도 분류체계를 이용한 중증도분류(Triage) (Severity of Emergency Patient classified by Triage System)

  • 배정희;손수경
    • 한국간호교육학회지
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    • 제7권2호
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    • pp.264-274
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    • 2001
  • About the patients who visited the emergency department of a hospital, investigative study was performed to assess and to classify them with triage tool, and to estimate the characteristics of them. 210 patients older than 15 years were investigated. Among them 11 patients who had responded inappropriately were excluded and remaining 210 patients were chosen as study subjects. Investigation had been performed for 30 days from Jan. 10, 2001 to Feb. 9, 2001. The triage tool was designed through the modification of triage tools developed by Kim and Choi. The data were analyzed with the SPSS program using mean, standard deviation, frequency, percentage, ANOVA and Scheffe's test. The results were as follows: 1. Of the characteristics of the study subjects, mean age of patients were 55.76 years and 70-79 years group which included 41 patients(20.6%) were most numerous. 101 (51.8%) patients visited emergency room by 119 emergency service and 91(45.7%) patients walked with assistance. 127 patients were cared in internal medicine department. 2. The distribution of triage scores were from minimum 6 points to maximum 18 points with mean $13.76{\pm}2.58$ points. 3. Triage scores had significant relationship with age(F=13.349,P=0.000), visiting method (F=8.832, P=0.000), walking status(F=28.185, p=0.000), care department(F=2.596, P=0.019), and preexisting disease(F=12.012, P=0.000). 4. After trage there were no urgent patient, 35 emergent patients(17.6%),109 subemergent patients(54.8%), and 55 nonemergent patients (27.6%). The result of emergency care were 80 admission(40.2%), 59 discharge (29.6%), 34 ICU admission(17.1%), 14 transfer to other hospital(7%), 10 operation (5%), and 2 death (2%). 5. About the time required for triage, mean duration to triage were $7.54{\pm}2.28$ mins in emergent patients, mean $7.23{\pm}2.50$ mins in subemergent patients and mean $6.49{\pm}2.19$ mins in nonemergent patients. There were no differences in duration to triage according to the severity of triage. 6. Time required in emergency treatment were mean $116.23{\pm}88.10$ in emergent patients mean $101.61{\pm}73.27$ in subemergent patients and mean $81.56{\pm}61.01$ in nonemergent patients. There were no significant difference among groups. This study depicted that triage scores were below the middle level and there were many geriatric patients in this hospital. Among the characteristics of patients, age, visiting method, walking status, care department, and accompanying disease could be data for triage of emergency patients. With triage score of a patient, the outcome of emergency care of a patient could be anticipated and this could be basal data in determining the priority of emergency nursing.

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Impact of nonphysician, technology-guided alert level selection on rates of appropriate trauma triage in the United States: a before and after study

  • Megan E. Harrigan;Pamela A. Boremski;Bryan R. Collier;Allison N. Tegge;Jacob R. Gillen
    • Journal of Trauma and Injury
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    • 제36권3호
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    • pp.231-241
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    • 2023
  • Purpose: Overtriage and undertriage rates are critical metrics in trauma, influenced by both trauma team activation (TTA) criteria and compliance with these criteria. Analysis of undertriaged patients at a level I trauma center revealed suboptimal compliance with existing criteria. This study assessed triage patterns after implementing compliance-focused process interventions. Methods: A physician-driven, free-text alert system was modified to a nonphysician, hospital dispatcher-guided system. The latter employed dropdown menus to maximize compliance with criteria. The preintervention period included patients who presented between May 12, 2020, and December 31, 2020. The postintervention period incorporated patients who presented from May 12, 2021, through December 31, 2021. We evaluated appropriate triage, overtriage, and undertriage using the Standardized Trauma Assessment Tool. Statistical analyses were conducted with an α level of 0.05. Results: The new system was associated with improved compliance with existing TTA criteria (from 70.3% to 79.3%, P=0.023) and decreased undertriage (from 6.0% to 3.2%, P=0.002) at the expense of increasing overtriage (from 46.6% to 57.4%, P<0.001), ultimately decreasing the appropriate triage rate (from 78.4% to 74.6%, P=0.007). Conclusions: This study assessed a workflow change designed to improve compliance with TTA criteria. Improved compliance decreased undertriage to below the target threshold of 5%, albeit at the expense of increased overtriage. The decrease in appropriate triage despite compliance improvements suggests that the current criteria at this institution are not adequately tailored to optimally balance the minimization of undertriage and overtriage. This finding underscores the importance of improved compliance in evaluating the efficacy of TTA criteria.