• Title/Summary/Keyword: Workload Classification

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Verification of the Reliability and Validity of the Korean Pediatric Patient Classification System and Estimation of Nursing Time Conversion Index (한국형 소아 환자 분류도구의 신뢰도와 타당도 검증 및 간호시간 환산지수 산출 연구)

  • Sim, Mi Young;Park, Ji Sun;Kwon, Mi Kyung;Song, Suk Hee;Kim, Ye Seul;Kang, Min Seo;Lee, Shin Ae;Choi, Eun Seok;Ha, Eun Ju
    • Journal of Korean Clinical Nursing Research
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    • v.28 no.2
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    • pp.185-197
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    • 2022
  • Purpose: This study was performed to verify reliability and validity of the Korean Pediatric Patient Classification System (KPPCS) and estimate nursing time conversion index. Methods: The study was conducted in 9 children's hospital which included various areas and size of bed settings. To verify intraclass correlation reliability and construct validity, staff nurses and nurse managers of 21 wards classified 575 patients according to KPPCS comparing differences by age, days of stay, type of stay and medical department. Direct and indirect nursing time of 575 patients were measured by 284 nursing staffs by stopwatch observation and self reports for 24 hours. Results: KPPCS has 12 categories, 55 nursing activities and 80 criterions. High agreement among nurses (r=.91, p<.001) suggested substantial reliability. Construct validity was verified by comparing differences in age, days of stay, type of stay and medical department (p<.05). The correlation of nursing time and classification score was also statistically significant (r=.59, p<.001). The nursing time conversion index was 10.78 minutes per 1 classification score. The entire patient group were classified to four groups using KPPCS. Conclusion: The findings suggest that KPPCS would be a useful tool for estimating nursing demands related to the complexity of pediatric patients.

Development of KPCS(Korean Patient Classification System for Nurses) Based on Nursing Needs (간호요구 정도에 기초한 한국형 환자분류도구(KPCS)의 개발)

  • Song, Kyung Ja;Kim, Eun Hye;Yoo, Cheong Suk;Park, Hae Ok;Park, Kwang Ok
    • Journal of Korean Clinical Nursing Research
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    • v.15 no.1
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    • pp.5-17
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    • 2009
  • Purpose: This study was to develop a factor-type patient classification system for general nursing unit based on nursing needs (KPCS; Korean patient classification system for nurses). Method: We reviewed workload management system for nurses(WMSN) of Walter Reed Medical Center, Korean patient classification system for ICU, and nursing activities in nursing records and developed the first version of KPCS. The final version KPCS was evaluated via validity and reliability verifications based on panel discussions and data from 800 patient classifications. Content validity was performed by Delphi method and concurrent validity was verified by the correlation of two tools (r=.71). Construct validity was also tested by medical department (p<.001), patient type (p<.001), and nurse intuition (p<.001). These verifications were performed from April to October, 2008. Results: The KPCS has 75 items in classifying 50 nursing activities, and categorized into 12 different nursing area (measuring vital sign, monitoring, respiratory treatment, hygiene, diet, excretion, movement, examination, medication, treatment, special treatment, and education/emotional support). Conclusion: The findings of the study showed sound reliability and validity of KPCS based on nursing needs. Further study is mandated to refine the system and to develop index score to estimate the necessary number of nurses for adequate care.

Measurement of the Nursing Workload by Patient Classification System in a Secondary Hospital;As a Preliminary Step for Computerization of Nursing Staffing and Scheduling (환자분류에 의한 일개 2차 의료기관의 간호업무량 조사;전산화를 위한 기초작업으로서)

  • Park, Jung-Ho;Joe, Hyon;Park, Hyeoun-Ae;Han, Hye-Rah
    • Journal of Korean Academy of Nursing Administration
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    • v.1 no.1
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    • pp.132-146
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    • 1995
  • Even though Korean medical law stipulates that number of patients attended by a nurse is 2.5 for hospitalization and 30 for ambulatory care, the number of patients cared by a nurse per day is much greater than the standard prescribed by the medical law. Current productivity of nurses is not desirable unless the quality of care is considered. And nursing manpower staffing based on neither current nurses' productivity nor standard of medical law cannot respond properly to dynamic situation of the medical services. Under this background, the necessity of more efficient management of nursing manpower occupying 1/3 of total hospital workers has been recognized by many nursing administrators. Many nursing researchers have studied to foretell the nursing manpower objectively on the basis of measured nursing workload according to patient classification as well. Most of These researches, however, have been conducted in the tertiary hospitals, so it is imperative to conduct other researches to predict necessary nursing manpower in the secondary and the primary hospitals. The study was performed to measure nursing workload and predict pertinent nursing manpower to a secondary hospital with 400beds. Nursing workload was surveyed using measuring tool for direct and indirect care hours in a surgical unit and a medical unit. Survey was conducted from Sep.10 to Sep.16 and from Oct.5 to Oct.11, 1994 respectively by two skilled nurses, Subjects were patients, patients' family members and nursing personnels. Results are follows : 1. Patient classification distributed as 22% of class I (mildly ill patient), 57% of class II (moderately ill patient), and 21% of class III (acutely ill patient) in the medical nursing unit, while 23% of class I, 29% of class II, 12% of class III, and 36% of classIV (critically ill patient) in the surgical nursing unit. There was no difference of inpatient number between weekday and weekend. Bed circulation rate was 89% in both units and average patients number per day was 37.4 (total 42beds) in the medical nursing unit, 32.9 (total 37beds) in the medical nursing unit. 2. Direct care hours per day measured as 2.8hrs for class I, 3.3hrs for class II, and 3.5hrs for class III in the medical nursing unit, while 3.1hrs for class I, 3hrs for class II, 2.7hrs for class III, and 2.2hrs for classIV in the surgical nursing unit. Meanwhile, hours for nursing assistant activities per patient by patients' family members were 11mins and 200mins respectively. Direct care hour rate by shift was day 36%, evening 25%, and night 39% in the medical nursing unit, while 40%, 29%, and and 31% respectively in the surgical nursing unit. 3. Measurement and observation activity held 44.2% of direct care activities of nurses and medication 36.7%, communication 11.7%, exercise 1.8%, treatment 1.3%, hygiene 1.3%, elimination and irrigation 1.1%, suction 1%, nutrition 0.5%, thermotherapy 0.3%, oxygen therapy 0.1% in order. 4. Indirect care hours per day were 294.2mins in the medical nursing unit, and 273.9mins in the surgical nursing unit. By shift, evening was the highest in both units. Indirect care hours for each patient were 44.5mins in the medical nursing unit and 46mins in the surgical nursing unit. 5. checking activities including doctor's order, medication, and delivering patients to the next shift occupied 39.7% of indirect care activities, and preparation 26%, recording 23.8%, communication and conference 6.7%, managing equipments 2.1%, messenger activity 1.7% in order. 6. On the ground of these results, nursing manpower needed in a secondary hospital was estimated ; 27 nursing personnels for the medical nursing unit of 37beds, and 20 nursing personnels for the surgical nursing unit of 33beds.

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Development of algorithm for work intensity evaluation using excess overwork index of construction workers with real-time heart rate measurement device

  • Jae-young Park;Jung Hwan Lee;Mo-Yeol Kang;Tae-Won Jang;Hyoung-Ryoul Kim;Se-Yeong Kim;Jongin Lee
    • Annals of Occupational and Environmental Medicine
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    • v.35
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    • pp.24.1-24.15
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    • 2023
  • Background: The construction workers are vulnerable to fatigue due to high physical workload. This study aimed to investigate the relationship between overwork and heart rate in construction workers and propose a scheme to prevent overwork in advance. Methods: We measured the heart rates of construction workers at a construction site of a residential and commercial complex in Seoul from August to October 2021 and develop an index that monitors overwork in real-time. A total of 66 Korean workers participated in the study, wearing real-time heart rate monitoring equipment. The relative heart rate (RHR) was calculated using the minimum and maximum heart rates, and the maximum acceptable working time (MAWT) was estimated using RHR to calculate the workload. The overwork index (OI) was defined as the cumulative workload evaluated with the MAWT. An appropriate scenario line (PSL) was set as an index that can be compared to the OI to evaluate the degree of overwork in real-time. The excess overwork index (EOI) was evaluated in real-time during work performance using the difference between the OI and the PSL. The EOI value was used to perform receiver operating characteristic (ROC) curve analysis to find the optimal cut-off value for classification of overwork state. Results: Of the 60 participants analyzed, 28 (46.7%) were classified as the overwork group based on their RHR. ROC curve analysis showed that the EOI was a good predictor of overwork, with an area under the curve of 0.824. The optimal cut-off values ranged from 21.8% to 24.0% depending on the method used to determine the cut-off point. Conclusion: The EOI showed promising results as a predictive tool to assess overwork in real-time using heart rate monitoring and calculation through MAWT. Further research is needed to assess physical workload accurately and determine cut-off values across industries.

Semantic Clustering Model for Analytical Classification of Documents in Cloud Environment (클라우드 환경에서 문서의 유형 분류를 위한 시맨틱 클러스터링 모델)

  • Kim, Young Soo;Lee, Byoung Yup
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.389-397
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    • 2017
  • Recently semantic web document is produced and added in repository in a cloud computing environment and requires an intelligent semantic agent for analytical classification of documents and information retrieval. The traditional methods of information retrieval uses keyword for query and delivers a document list returned by the search. Users carry a heavy workload for examination of contents because a former method of the information retrieval don't provide a lot of semantic similarity information. To solve these problems, we suggest a key word frequency and concept matching based semantic clustering model using hadoop and NoSQL to improve classification accuracy of the similarity. Implementation of our suggested technique in a cloud computing environment offers the ability to classify and discover similar document with improved accuracy of the classification. This suggested model is expected to be use in the semantic web retrieval system construction that can make it more flexible in retrieving proper document.

A Novel Procedure for Protection Setting in an HVDC System Based on Fault Quantities

  • Gao, Benfeng;Zhang, Ruixue;Zhang, Xuewei
    • Journal of Electrical Engineering and Technology
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    • v.12 no.2
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    • pp.513-521
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    • 2017
  • HVDC protection setting is difficult to be calculated analytically because of its strong nonlinearity. The currently used setting method is based on the empirical setting of previous projects and then verified by digital simulation. It entails a huge workload and low efficiency. To facilitate protection setting, this paper systematically summarizes the HVDC protection characteristics and then presents a classification of HVDC protections according to the protection principles. On the basis of the fault quantities, a novel setting procedure suitable for travelling wave protection, derivative and level protection, and differential protection is proposed. The proposed procedure is illustrated and verified in detail with the example of travelling wave protection. An HVDC protection setting system that has the functions of automatic protection setting and data management is developed utilizing the C# programming language.

Automated Methodology for Linking BIM Objects with Cost and Schedule Information by utilizing Geometry Breakdown Structure (GBS)

  • Lee, Kwangjin;Jung, Youngsoo
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.637-638
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    • 2015
  • There has been growing interests in life-cycle project management in the construction industry. A lot of attention is given to Building Information Modeling (BIM) which stores and uses a variety of construction information for the life cycle of project management. However, due to the additional workload arising from BIM, its expected effects versus its input costs are still under discussion in practice. As an attempt to address this issue, one of previous studies suggested an automated linking process by developing Standard Classification Numbering System (SCNS) and Geometry Breakdown Structure (GBS) to enhance the efficiency of integration process of BIM objects, cost, and schedule. Though SCNS and GBS facilitates identifying all different dataset, making object sets and linking schedule activities still needs to be manually done without having an automated tool. In this context, the purpose of this paper is to develop and validate a fully automated integration system for 3D-objects, cost, and schedule. A prototype system for single family homes (Hanok) was developed and tested in order to verify its efficiency.

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Improving the Utilization and Efficiency of B2B Online Store using DEA (DEA를 이용한 B2B 온라인 쇼핑몰 상품관리 효율성 증대 방안)

  • Gu, Seung-Hwan;Park, Hyun-Ki;Jang, Seong Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.7
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    • pp.4237-4245
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    • 2014
  • In this study, products in a B2B online shopping mall were classified efficiently using DEA, and an operational process is presented. The results using the data of M company were used to calculate the workload according to the category. The work load of managing the product using the DEA has been distributed evenly. In addition, the classification of A is composed of the highest net income, and it was intended to be managed centrally by the company. Business classifications C and B, which were made of a low severity workload, were reduced. Therefore, efficient operation is possible when applied to an actual business.

Thread Block Scheduling for GPGPU based on Fine-Grained Resource Utilization (상세 자원 이용률에 기반한 병렬 가속기용 스레드 블록 스케줄링)

  • Bahn, Hyokyung;Cho, Kyungwoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.5
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    • pp.49-54
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    • 2022
  • With the recent widespread adoption of general-purpose GPUs (GPGPUs) in cloud systems, maximizing the resource utilization through multitasking in GPGPU has become an important issue. In this article, we show that resource allocation based on the workload classification of computing-bound and memory-bound is not sufficient with respect to resource utilization, and present a new thread block scheduling policy for GPGPU that makes use of fine-grained resource utilizations of each workload. Unlike previous approaches, the proposed policy reduces scheduling overhead by separating profiling and scheduling, and maximizes resource utilizations by co-locating workloads with different bottleneck resources. Through simulations under various virtual machine scenarios, we show that the proposed policy improves the GPGPU throughput by 130.6% on average and up to 161.4%.

Computerization of Nurse Staffing and Scheduling according to Patient Classification (환자분류에 의한 간호인력 산정 및 배치과정 전산화)

  • Park, Jung-Ho;Park, Hyeoun-Ae;Cho, Hyon;Choi, Yong-Sun
    • Journal of Korean Academy of Nursing
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    • v.26 no.2
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    • pp.399-412
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    • 1996
  • Even though Korean medical law stipulates that number of patients attended by a nurse is 2.5 for hospitalization and 30 for ambulatory care, the number of patients cared by a nurse per day is much greater than the standard prescribed by the medical law. Current nursing productivity of nurses is not desirable unless the quality of care considered. Moreover. nursing manpower staffing based on neither current nurses' productivity nor standard of medical law cannot respond properly to dynamic situation of the medical services. As for the nurse scheduling, the critical problem of it in the hospital is determining the day-to-day shift assignments for each nurse for the specified period in a way that satisfies the given requirements of the hospital. Nurse scheduling, however, involves many factors and requirements, manual scheduling requires much time and effort to produce an adequate schedule. Under these backgrounds, the necessity of more efficient management of nursing manpower occupying 1/3 of total hospital workers has been recognized by many nursing administrators. This study was performed to develop a system computerizing nurse staffing and scheduling based on the patient classification. As a preliminary step for the system development, nursing workload in a secondary hospital was measured from Sep. to Oct. 1994. On the grounds of this result, computerization of nurse staffing and scheduling was proceeded with three options. First one is based on the current medical law. Second one is based on the assigned number of nursing staff. And the last is based on the request by patient classification. Computer languages used in this study were MS Visual Basic 3.0 for the staffing and Access 2.0 for the scheduling, respectively. Prospective users may operate this system easily because icons and mouse are used for easier graphic user interface and reducing the need for typing efforts. This system can help nurse administrators manage nursing manpower efficiently and nurses develop quick and easy schedule generation and allow more time for the patient care.

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