• 제목/요약/키워드: Workload Classification

검색결과 53건 처리시간 0.026초

중환자의 중증도에 따른 적정 간호인력 수요 산정 (Estimation of Nurse Staffing Based on Nursing Workload with Reference to a Patient Classification System for a Intensive Care Unit)

  • 박영선;송라윤
    • 중환자간호학회지
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    • 제10권1호
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    • pp.1-12
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    • 2017
  • Purpose: This study aimed to estimate the appropriate nurse staffing ratio in intensive care units (ICUs) by measuring nursing workload based on patient's severity and needs, using the Korean Patient Classification System for critical care nurses. Methods: The data were collected from January 18 to February 29, 2016 using a standardized checklist by observation or self-report. During the study period, 723 patients were included to be categorized from I to IV using the patient classification system. Measurement of total nursing workload on a shift was calculated in terms of hours based on the time and motion method by using tools for surveying nursing activities. The nursing activities were categorized as direct nursing care, indirect nursing care, and personal time. Total of 127 cases were included in measuring direct nursing time and 18 nurses participated in measuring indirect and personal time. Data were analyzed using descriptive statistics. Results: Two patients were classified into Class I (11.1%), 5 into Class II (27.8%), 9 into Class III (50%), and two into Class IV (11.1%). The amount of direct nursing care required for Class IV (513.7 min) was significantly more than that required for Class I (135.4 min). Direct and indirect nursing care was provided more often during the day shift as compared to the evening or night shifts. These findings provided the rationale for determining the appropriate ratio for nursing staff per shift based on the nursing workload in each shift. Conclusions: An appropriate ratio of nurse staffing should be ensured in ICUs to re-arrange the workload of nurses to help them provide essential direct care for patients.

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작업자세에 의한 자동차 조립작업의 작업부하평가 (Workload Evaluation of Automobile Assembly Task Using a Posture Classification Schema)

  • 정재원;정민근;이인석;김상호;이상민;이유정
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1997년도 추계학술대회논문집
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    • pp.437-440
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    • 1997
  • The association of poor body postures with pains or symptoms of musculoskeletal discorders has been reported by many researchers. An ergonomic evaluation of postural stresses as well as biomechanical stresses is also important especially when a job involves highly repetitive or prolonged poor body postures. The human body is divided into five parts: shoulder/upper arm, lower arm/wrist, back, neck, lower extremities. A work-sampling based macropostural classification system was developed to characterize various postures in this study. Application of the posture classification schema developed in this study to 7 automobile assembly tasks showed that the schema can be used as a tool to didntify the operation and tasks involving highly stressful body postures. This posture classification schema can also be applied as a basis for quantitive evaluating the workload of manual task.

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Measurement of inconvenience, human errors, and mental workload of simulated nuclear power plant control operations

  • Oh, I.S.;Sim, B.S.;Lee, H.C.;Lee, D.H.
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1996년도 추계학술대회논문집
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    • pp.47-55
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    • 1996
  • This study developed a comprehensive and easily applicable nuclear reactor control system evaluation method using reactor operators behavioral and mental workload database. A proposed control panel design cycle consists of the 5 steps: (1) finding out inconvenient, erroneous, and mentally stressful factors for the proposed design through evaluative experiments, (2) drafting improved design alternatives considering detective factors found out in the step (1), (3) comparative experiements for the design alternatives, (4) selecting a best design alternative, (5) returning to the step (1) and repeating the design cycle. Reactor operators behavioral and mental workload database collected from evaluative experiments in the step (1) and comparative experiments in the step (3) of the design cycle have a key roll in finding out defective factors and yielding the criteria for selection of the proposed reactor control systems. The behavioral database was designed to include the major informations about reactor operators' control behaviors: beginning time of operations, involved displays, classification of observational behaviors, dehaviors, decisions, involved control devices, classification of control behaviors, communications, emotional status, opinions for man-machine interface, and system event log. The database for mental workload scored from various physiological variables-EEG, EOG, ECG, and respir- ation pattern-was developed to indicate the most stressful situation during reactor control operations and to give hints for defective design factors. An experimental test for the evaluation method applied to the Compact Nuclear Simulator (CNS) installed in Korea Atomic Energy Research Institute (KAERI) suggested that some defective design factors of analog indicators should be improved and that automatization of power control to a target level would give relaxation to the subject operators in stressful situation.

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SVM 워크로드 분류기를 통한 자동화된 데이터베이스 워크로드 식별 (Automatic Identification of Database Workloads by using SVM Workload Classifier)

  • 김소연;노홍찬;박상현
    • 한국콘텐츠학회논문지
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    • 제10권4호
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    • pp.84-90
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    • 2010
  • 데이터베이스 시스템의 응용분야가 데이터웨어하우징에서 전자상거래에 이르기까지 광범위해지면서 데이터베이스 시스템이 대형화되었다. 이로 인해 데이터베이스 시스템의 성능 향상을 위한 튜닝이 중요한 논점이 되었다. 데이터베이스 시스템의 튜닝은 워크로드 특성을 고려하여 수행할 필요가 있다. 그러나 복합적인 데이터베이스 환경에서 워크로드를 식별하기는 어려우므로 자동적인 식별 방법이 요구된다. 본 논문에서는 데이터베이스 워크로드를 자동적으로 식별하는 SVM 워크로드 분류기를 제안한다. TPC-C와 TPC-W 성능 평가에서 자원할당 파라미터 변경에 따른 워크로드 데이터를 수집하여 SVM을 통해 분류 한다. SVM의 커널별 커널 파라미터와 오류 허용 임계치 값인 C의 조정을 통하여 최적의 SVM 워크로드 분류기를 선택한다. 제안한 SVM 워크로드 분류기와 Decision Tree, Naive Bayes, Multilayer Perceptron, K-NN 분류기의 분류 성능을 비교한 결과, SVM 워크로드 분류기가 다른 기계 학습 분류기보다 9% 이상 향상된 분류 성능을 보였다.

AHP를 활용한 VTS업무 중요도 평가 (VTS Task Assessment using AHP)

  • 김주성;정초영;김광일
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2018년도 추계학술대회
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    • pp.261-262
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    • 2018
  • 해상교통관제 업무는 제공하는 정보의 내용에 따라 분류된다. 우리나라는 1993년 포항에 최초의 해상교통관제센터 설립 이후 대한민국의 해상교통관제는 꾸준히 발전하고 있으며, 업무 영역의 확장이 이루어지고 있다. 본 논문에서는 해상교통관제 업무의 분류에 따른 해상 교통관제사의 업무 중요도 및 작업 부하에 대해여 분석하였다. 중요도 및 작업 부하를 측정하기 위하여 전국의 해상교통관제사를 대상으로 설문을 실시하였으며, 다기준의사결정 기법인 계층화분석과정을 사용하여 결론을 도출하였다. 해상교통관제사의 업무 중요도와 작업 부하의 관계를 고찰하여 향후 해상교통관제 센터에서 관제 구역 설정의 가중치로 사용할 수 있으며, 중요도와 작업부하의 관계를 바탕으로 가변 섹터 운영 등의 자료로 사용할 수 있을 것으로 기대한다.

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환자중심 간호업무 향상을 위한 간호업무 측정에 관한 연구 (Classification of Nursing Activities and Workload Analysis in a New Open Hospital)

  • 이영신;권영미
    • 간호행정학회지
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    • 제3권2호
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    • pp.123-136
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    • 1997
  • The purpose of this study was to confirm the classification of nursing activity and to analyze the time of nursing workload in a new open hospital. The data were collected from 20 nurses working in 6 general nursing units by 4 trained observers. The tools used for this study were an observation recording sheet and a classification sheet of nursing activity. The classification sheet was constructed to be adaptable to each hospital system based on the instrument described in the literature. The results of the study are as follows : The direct nursing activities consisted of 6 sections, 33 subsections and the indirect nursing activities consisted of 14 sections, 53 subsections. The direct nursing activities included medication, measuring and observation, care of therapies, care of physical comfort, laboratory and treatment. The indirect nursing activities included preparation of medical utensils, collection of information and assessment, recording, phone communication, professional interaction related to patients, personal time, assigning work to staff, patient eaucation and training, interaction with lab, transfer of administration of utensils, checking physician's order, dietary service, management of pollution and contagion, guide direction. Nurses spent 127.6min for direct nursing activity during day duty. It was 24.5% of total nursing activity. Within that activity medication had the highest percentage of time(40.09%), followed by communication and education with patient(24.76%), measuring and observation (16.93%), laboratory and treatment (12.85%), care of therapies(3.21%) and care of physical comfort (2.16%). The time breakdown for indirect nursing activities is as follows ; the preparation of medical utensils 22.3%, collection of information and assessment 20.29%, recording 20.27%, phone communication 8.14%, professional interaction related to patients 7.33%, personal time 7.24%, with the remaining timeshared by staffing, patient education and training, interaction with lab, transfer of administration of utensils, checking physician's order, dietary service, management of pollution and contagion, guide direction. In the analysis of the relationships between the working time and the work allocation characters of the nurses(including nurse's experiences. nurse-patients ratio, nurse-rooms ratio, and character of nursing unit) ; There were no significant differences in direct-indirect nursing times between nurse's career years. There was significant difference in direct nursing time between assigned patient numbers. The nurses assigned larger number of patients spent significantly more time in direct nursing care than that of the smaller. On the other hand, there was no significant difference in indirect nursing workload between the assigned patient numbers. There were no significant differences in direct-indirect nursing time between an allocated patient's room numbers. There was significant difference in working time between working places. The nurse in the medical unit spent more time in direct nursing care than her counterpart in the surgical unit. However there was no difference in direct nursing time between two groups. The study results indicate that nurses spent less time in the direct nursing care than in the previous studies even though the hospital system has been modernized. On the other hand they spent much more time for the coordinating role within the interdisciplinary team and for the overlapping paperwork. Therefore it is recommended that patient oriented job description and more efficient usage of modernized utilities be made.

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동시에 발생하는 사무작업 사이의 간섭정도에 관한 연구

  • 김성환;정의승
    • 대한인간공학회:학술대회논문집
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    • 대한인간공학회 1995년도 추계학술대회논문집
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    • pp.18-26
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    • 1995
  • To quantify a mental workload for office workers, nine element tasks were classified for office work. There were oral comprehension, written comprehension, oral expression, written expression, calculation, memorization, thinking, and classification materials. Among nine element tasks, oral comprehension, written comprehension, written expression, and thinking were selected and the degrees of conflicts between concurrently performed element tasks were measured and analyzed through the experiment. The measures were performance and subjective rating. The results were as follows. The written comprehension- written expression pair was showed the highest conflict value in terms of performance and subjective rating. The written comprehension-thinking pair was the lowest conflict value in terms of performance, while the oral comprehension-thinking pair was the lowest condlict value in terms of performance, while the oral comprehension- written expression pair was the lowest conflict value in terms of subjective rating. The findings are expected to be used for assessing workload for the office work.

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튜닝 가능한 자원선택 방법론 (Methodologies to Selecting Tunable Resources)

  • 김혜숙;오정석
    • Journal of Information Technology Applications and Management
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    • 제15권1호
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    • pp.271-282
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    • 2008
  • Database administrators are demanded to acquire much knowledges and take great efforts for keeping consistent performance in system. Various principles, methods, and tools have been proposed in many studies and commercial products in order to alleviate such burdens on database administrators, and it has resulted to the automation of DBMS which reduces the intervention of database administrator. This paper suggests a resource selection method that estimates the status of the database system based on the workload characteristics and that recommends tuneable resources. Our method tries to simplify selection information on DBMS status using data-mining techniques, enhance the accuracy of the selection model, and recommend tuneable resource. For evaluating the performance of our method, instances are collected in TPC-C and TPC-W workloads, and accuracy are calculated using 10 cross validation method, comparisons are made between our scheme and the method which uses only the classification procedure without any simplification of informations. It is shown that our method has over 90% accuracy and can perform tuneable resource selection.

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중환자 간호단위의 간호강도에 근거한 적정 간호사 수 산출 (Calculation of Optimum Number of Nurses Based on Nursing Intensity of Intensive Care Units)

  • 고유경;박보현
    • 한국병원경영학회지
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    • 제25권3호
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    • pp.14-28
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    • 2020
  • Purpose: The purpose of this study was to calculate the total daily nursing workload and the optimum number of nurses per intensive care unit (ICU) based on the nursing intensity and the direct nursing time per inpatient using the patient classification. Methods: Two ICUs at one general hospital were investigated. To calculate the nursing intensity, patient classification according to the nursing needs was conducted for 10 days in each unit during September 2018. We performed patient classifications for a total of 167 patient-days in the Medical Intensive Care Unit (MICU) and 86 patient-days in the Surgical Intensive Care Unit (SICU). The total number of person-days for nurses who responded to the Nursing Time survey was 151 for MICU and 85 for SICU. In each unit, direct and non-direct nursing hours, nursing intensity score, and direct nursing hours were analyzed using descriptive statistics such as frequency, percentage, and average calculated using Microsoft Excel. The amount of nursing workload and the optimum number of nurses were calculated according to the formula developed by the authors. Findings: For the MICU, the average direct nursing time per patient was 5.59 hours for Group 1, 6.98 hours for Group 2, and 9.28 hours for Group 3. For the SICU, the average direct nursing time per patient was 5.43 hours for Group 1, 7.21 hours for Group 2, 9.75 hours for Group 3, and 12.82 hours for Group 4. Practical Implications: This study confirmed that the appropriate number of nurses was not secured in the nursing unit of this study, and that leisure time such as meal time during nursing work hours was not properly guaranteed. The findings suggest that to create working environments where nurses can serve for extended periods of time without compromising their professional standards, hospitals should secure an appropriate number of nurses.

Dynamic Text Categorizing Method using Text Mining and Association Rule

  • Kim, Young-Wook;Kim, Ki-Hyun;Lee, Hong-Chul
    • 한국컴퓨터정보학회논문지
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    • 제23권10호
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    • pp.103-109
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    • 2018
  • In this paper, we propose a dynamic document classification method which breaks away from existing document classification method with artificial categorization rules focusing on suppliers and has changing categorization rules according to users' needs or social trends. The core of this dynamic document classification method lies in the fact that it creates classification criteria real-time by using topic modeling techniques without standardized category rules, which does not force users to use unnecessary frames. In addition, it can also search the details through the relevance analysis by calculating the relationship between the words that is difficult to grasp by word frequency alone. Rather than for logical and systematic documents, this method proposed can be used more effectively for situation analysis and retrieving information of unstructured data which do not fit the category of existing classification such as VOC (Voice Of Customer), SNS and customer reviews of Internet shopping malls and it can react to users' needs flexibly. In addition, it has no process of selecting the classification rules by the suppliers and in case there is a misclassification, it requires no manual work, which reduces unnecessary workload.