scholarly journals Ameliyathanelerde Verimliliğin Çok Ölçütlü Karar Verme Yöntemleri ile Değerlendirilmesi

2019 ◽  
Vol 2 (3) ◽  
pp. 973-981 ◽  
Author(s):  
Şeyda Gür ◽  
Tamer Eren
Keyword(s):  
Operating Room ◽  
Operation Time ◽  
Operating Rooms ◽  
Factors Affecting ◽  
Hospital Managers ◽  
Hospital Expenditures ◽  
Cancellation Rate ◽  
Network Process ◽  
Effective Use ◽  
Main Factor

Purpose: Determining the factors that affect productivity in operating rooms, which make up about one third of hospital expenditures, and developing strategies for these elements is a matter of importance for hospital managers. The fact that operating rooms are among the highest expenditure items and at the same time being among the highest sources of income has been the main factor in determining the factors affecting the efficiency of the operating room. Material and Method: Analytical network process method, which is one of the multi-criteria decision-making methods, which enables quantitative evaluation of qualitatively effective factors, was used. Results and Conclusion: In this study, the factors affecting the efficiency of operating rooms were evaluated. According to the results, it is seen that the usage of the operating room comes to the forefront at the same time and the personnel goes through the harmony with the colleagues. In addition, the accuracy of the operation times of the operations on the waiting list directly affects the effective use of the operating rooms. At this point, the cancellation rate of operations can be reduced by making effective plans with the correct estimated operation time. Thus, effective and efficient use of operating rooms can be increased.

scholarly journals Operating room efficiency in a low resource setting: a pilot study from a large tertiary referral center in Ethiopia

2022 ◽  
Vol 16 (1) ◽  
Author(s):  
Samuel Negash ◽  
Endale Anberber ◽  
Blen Ayele ◽  
Zeweter Ashebir ◽  
Ananya Abate ◽  
...  
Keyword(s):  
Operating Room ◽  
Operating Rooms ◽  
Turnover Time ◽  
High Rate ◽  
Start Time ◽  
Or Efficiency ◽  
Tertiary Referral Center ◽  
Resource Setting ◽  
Cancellation Rate ◽  
Patient Preparation

Abstract Background The operating room (OR) is one of the most expensive areas of a hospital, requiring large capital and recurring investments, and necessitating efficient throughput to reduce costs per patient encounter. On top of increasing costs, inefficient utilization of operating rooms results in prolonged waiting lists, high rate of cancellation, frustration of OR personnel as well as increased anxiety that negatively impacts the health of patients. This problem is magnified in developing countries, where there is a high unmet surgical need. However, no system currently exists to assess operating room utilization in Ethiopia. Methodology A prospective study was conducted over a period of 3 months (May 1 to July 31, 2019) in a tertiary hospital. Surgical case start time, end time, room turnover time, cancellations and reason for cancellation were observed to evaluate the efficiency of eight operating rooms. Results A total of 933 elective procedures were observed during the study period. Of these, 246 were cancelled, yielding a cancellation rate of 35.8%. The most common reasons for cancellation were related to lack of OR time and patient preparation (8.7% and 7.7% respectively). Shortage of facilities (instrument, blood, ICU bed) were causes of cancelation in 7.7%. Start time was delayed in 93.4% (mean 8:56 am ± 52 min) of cases. Last case completion time was early in 47.9% and delayed in 20.6% (mean 2:54 pm ± 156 min). Turnover time was prolonged in 34.5% (mean 25 min ± 49 min). Total operating room utilization ranged from 10.5% to 174%. Operating rooms were underutilized in 42.7% while overutilization was found in 14.6%. Conclusion We found a high cancellation rate, most attributable to late start times leading to delays for the remainder of cases, and lack of preoperative patient preparation. In a setting with a high unmet burden of surgical disease, OR efficiency must be maximized with improved patient evaluation workflows, adequate OR staffing and commitment to punctual start times. We recommend future quality improvement projects focusing on these areas to increase OR efficiency.

Systemic Determinants in Surgery: Nonclinical Factors Affecting Time to Operation for Incarcerated Ventral Hernias

2021 ◽  
pp. 000313482110111
Author(s):  
David E. Wang ◽  
Paul J. Chung ◽  
Rafael Barrera ◽  
Gene F. Coppa ◽  
Antonio E. Alfonso ◽  
...  
Keyword(s):  
Operating Room ◽  
Negative Binomial ◽  
Private Insurance ◽  
Negative Binomial Regression ◽  
Outcome Variable ◽  
Hospital Size ◽  
Factors Affecting ◽  
Binomial Regression ◽  
Comorbidity Status ◽  
Ventral Hernias

Introduction We explore nonclinical factors affecting the amount of time from admission to the operating room for patients requiring nonelective repair of ventral hernias. Methods Using the 2005-2012 Nationwide Inpatient Sample, we identified adult patients with a primary diagnosis of ventral hernia without obstruction/gangrene, who underwent nonelective repair. The outcome variable of interest was time from admission to surgery. We performed univariate and multivariable analyses using negative binomial regression, adjusting for age, sex, race, income, insurance, admission day, comorbidity status (van Walraven score), diagnosis, procedure, hospital size, location/teaching status, and region. Results 7,253 patients met criteria, of which majority were women (n = 4,615) and white (n = 5,394). The majority of patients had private insurance (n = 3,015) followed by Medicare (n = 2,737). Median time to operation was 0 days. Univariate analysis comparing operation <1 day to ≥1 day identified significant differences in race, day of admission, insurance, length of stay, comorbidity status, hospital location, type, and size. Negative binomial regression showed that weekday admission (IRR 4.42, P < .0001), private insurance (IRR 1.53-2.66, P < .0001), rural location (IRR 1.39-1.76, P < .01), small hospital size (IRR 1.26-1.36, P < .05), white race (IRR 1.30-1.34, P < .01), healthier patients (van Walraven score IRR 1.05, P < .0001), and use of mesh (IRR 0.39-0.56, P < .02) were associated with shorter time until procedure. Conclusion Shorter time from admission to the operating room was associated with several nonclinical factors, which suggest disparities may exist. Further prospective studies are warranted to elucidate these disparities affecting patient care.

scholarly journals Design Opportunities to Reduce Waste in Operating Rooms

2021 ◽  
Vol 13 (4) ◽  
pp. 2207
Author(s):  
Charlotte Harding ◽  
Joren Van Loon ◽  
Ingrid Moons ◽  
Gunter De Win ◽  
Els Du Bois
Keyword(s):  
Operating Room ◽  
Circular Economy ◽  
Operating Rooms ◽  
Medical Waste ◽  
Waste Reduction ◽  
Infrastructure Management ◽  
Expert Interviews ◽  
Hospital Waste ◽  
Observation Results ◽  
Taking Care

While taking care of the population’s health, hospitals generate mountains of waste, which in turn causes a hazard to the environment of the population. The operating room is responsible for a disproportionately big amount of hospital waste. This research aims to investigate waste creation in the operating room in order to identify design opportunities to support waste reduction according to the circular economy. Eight observations and five expert interviews were conducted in a large sized hospital. The hospital’s waste infrastructure, management, and sterilization department were mapped out. Findings are that washable towels and operation instruments are reused; paper, cardboard, and specific fabric are being recycled; and (non-)hazardous medical waste is being incinerated. Observation results and literature findings are largely comparable, stating that covering sheets of the operation bed, sterile clothing, sterile packaging, and department-specific products are as well the most used and discarded. The research also identified two waste hotspots: the logistical packaging (tertiary, secondary, and primary) of products and incorrect sorting between hazardous and non-hazardous medical waste. Design opportunities include optimization of recycling and increased use of reusables. Reuse is the preferred method, more specifically by exploring the possibilities of reuse of textiles, consumables, and packaging.

scholarly journals Study on Tourism Flow Network Patterns on May Day Holiday

2021 ◽  
Vol 13 (2) ◽  
pp. 947
Author(s):  
Shanshan Wu ◽  
Lucang Wang ◽  
Haiyang Liu
Keyword(s):  
Transportation Network ◽  
Edge Structure ◽  
Flow Network ◽  
Factors Affecting ◽  
Spatial Distribution Characteristics ◽  
Transportation Modes ◽  
May Day ◽  
High Level ◽  
Network Patterns ◽  
Main Factor

The development of tourism is based on tourism flow and studying a tourism flow network can help to elucidate its mechanism of operation. Transportation network is the path to realize the spatial displacement of tourism flow. This study used “Tencent migration” big data to explore the spatial distribution characteristics and rules of tourism flow in China, providing suggestions for the development of tourism. The results demonstrate that the 361 cities studied can be divided into three types: destination-oriented, tourist-origin-oriented, and destination-oriented and tourist-origin-oriented. There are significant differences in the quantity of flow, the area of concentration, and the factors affecting the flow in the three types of cities. The larger the flow of tourism between cities, the higher the network level, and the wider the network range. The high-level nodes are closely related, while the peripheral nodes are more widely distributed, with weak attractiveness and inconvenient traffic, forming a “core-edge” structure. Different network patterns are established for different modes of transportation. The degree of response of different types of transportation to distance is the main factor influencing the network patterns of diverse paths. These findings have practical implications for the choice of appropriate travel destinations and transportation modes for tourists.

scholarly journals Grey Relational Grade Based Quantitative Analysis of the Factors Influencing the Load Characteristics of A Power Grid

2018 ◽  
Vol 53 ◽  
pp. 01012 ◽  
Author(s):  
Wei Pan ◽  
Caijia Lei ◽  
Wei Jia ◽  
Hui Gao ◽  
Binghua Fang
Keyword(s):  
Quantitative Analysis ◽  
Influencing Factors ◽  
Power Grid ◽  
Grey System Theory ◽  
Grey System ◽  
Factors Affecting ◽  
Grey Relational Grade ◽  
Load Characteristics ◽  
Grey Relational ◽  
Main Factor

Regarding analysis of load characteristics of a power grid, there are multiple factors that influence the variation of load characteristics. Among these factors, the influence of different ones on the change of load characteristic is somewhat different, thus the degree of influence of various factors needs to be quantified to distinguish the main and minor factors of load characteristics. Based on this, the grey relational analysis in the grey system theory is employed as the basis of mathematical model in this paper. Firstly, the main factors affecting the load characteristics of a power grid are analysed. Then, the principle of quantitative analysis of the influencing factors by using grey relational grade is introduced. Lastly, the load of Guangzhou power grid is selected as the research object, thereby the main factor of temperature affecting the load characteristics is quantitatively analysed, such that the correlation between temperature and load is established. In this paper, by investigating the influencing factors and the degree of influence of load characteristics, the law of load characteristics changes can be effectively revealed, which is of great significance for power system planning and dispatching operation.

scholarly journals Analysis of Factors Influencing Effective Utilization Coefficient of Irrigation Water in the Manas River Basin

Water ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 189
Author(s):  
Lili Yang ◽  
Tong Heng ◽  
Guang Yang ◽  
Xinchen Gu ◽  
Jiaxin Wang ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Large Scale ◽  
Grey Model ◽  
Analytic Hierarchy ◽  
Effective Utilization ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Utilization Coefficient ◽  
Using Data ◽  
Effective Use

The factors influencing the effective utilization coefficient of irrigation water are not understood well. It is usually considered that this coefficient is lower in areas with large-scale irrigation. With this background, we analyzed the effective utilization coefficient of irrigation water using the analytic hierarchy process using data from 2014 to 2019 in Shihezi City, Xinjiang. The weights of the influencing factors on the effective utilization coefficient of irrigation water in different irrigation areas were analyzed. Predictions of the coefficient’s values for different years were made by understanding the trends based on the grey model. The results show that the scale of the irrigation area is not the only factor determining the effective utilization coefficient of irrigation water. Irrigation technology, organizational integrity, crop types, water price management, local economic level, and channel seepage prevention are the most critical factors affecting the effective use of irrigation water. The grey model prediction results show that the effective utilization coefficient of farmland irrigation water will continuously increase and reach 0.7204 in 2029. This research can serve as a reference for government authorities to make scientific decisions on water-saving projects in irrigation districts in terms of management, operation, and investment.

scholarly journals THEORETICAL AND PRACTICAL ASPECTS OF PROFITABILITY FACTORIAL ANALYSIS

2018 ◽  
Vol 12 (1) ◽  
pp. 12-19
Author(s):  
Izolda Chiladze
Keyword(s):  
Financial Stability ◽  
Factor Model ◽  
Absolute Difference ◽  
Professional Judgment ◽  
Factors Affecting ◽  
The Public ◽  
High Profile ◽  
Use Of Resources ◽  
Effective Use ◽  
Negative Factors

Profitability is one of the fundamental directions of the financial stability of enterprises. Resources in nature are finite. Thus, the effective use of resources by each enterprise is of great interest to the public. The Profit is a means of expanding of production, of material incentives, of growth of investments and state revenue. Profit is also used by enterprises to finance employees’ awarding charitable and other programs. So, in order to make the enterprise profitable, it is important for owners, employed personnel, the state, and the whole society. Consequently, the research of the factors that increase the profitability of enterprises is always relevant. Purpose of the article is to create a multifactorial model of profitability. Therefore, the object of research is the system of indicators of profit and profitability. The article discusses different indicators of profit and profitability of the enterprise. On the basis of their logical and qualitative analysis, the most general indicator was selected: the ratio of annual profit (profit before taxation) to total assets. The purpose of the research was exactly to create a new factor model of this indicator. Based on the logical analysis, synthesis and professional judgment methods, eight indicators were selected which influence the profitability change and whose insertion (layout) into one model is possible and reasonable. And the method of so-called absolute difference is used to measure the influence of factors affecting profitability. For the testing of this model, the article uses the data of the Teliani Valley financial information of the Georgian wine company. This company was very interesting because it was the most financially stable and high-profile one but it became unprofitable for the past three years. As a result of the logical and empirical analysis of the factor-indicators of the new multi-factor model, it is obvious that this model can be used in all branches of the economy, except for commercial banks. Annual use of this factor model of profitability will be intellectual assistance for management of companies in order to find negative factors for profitability change and to make relevant decisions.

Sign in / Sign up

Export Citation Format

Share Document