EP.TU.785Quality Improvement Project: Improving Oxygen therapy prescription in surgical inpatients

Aims The 2015, British Thoracic Society (BTS) Oxygen audit demonstrated that 42% of hospital inpatients were using Oxygen without a prescription. National and local standards state that Oxygen, as a drug, should be routinely prescribed and checked along with regular medications and VTE risk assessment. Our baseline audit conducted over a two month period on the surgical wards of a large city hospital revealed that 78% of patients were not being prescribed oxygen. We set a SMART aim to increase the percentage of surgical inpatients being prescribed oxygen by 20% each month. Methods We used the trust e-prescription software to record our data, with three-stage verification and subsequent senior analysis of data. The three primary drivers identified were factors intrinsic to the department: lack of standard awareness, education and safety-net to ensure sustainability. To tackle these in-turns, we designed three PDSA cycles: Departmental poster, seminar with induction material, and system checklist notification. Results Following our first PDSA cycle, the mean percentage increased from 22% to 60%. Using projection analysis, we anticipate this to increase to > 75% after the second PDSA cycle, and >95% after PDSA3, with 100% sustainability one year later. Conclusion Our results to-date show that practice standards have improved following our first PDSA cycle, indicating that awareness played an important role. We predict that education will play an equal role; and given the research supporting the implications of checklists, we forecast that this later element will be the ultimatum leading to 100% sustainability of patients receiving oxygen prescription.

TP8.2.1 Quality Improvement Project: Improving the percentage of patients receiving their consent form copy

Aim Good practice set out by the GMC and DoH is to acquire written informed consent for surgery, despite it not being a legal requirement. Baseline data of 50 consecutive surgical cases, undertaken in the UK’s largest trust, found that only 12% of patients were being offered their consent form copy prior to surgery. We constructed a SMART aim to increase this percentage by 20% each month on the general surgical wards of a city hospital. Method On analysing the patients’ physical notes, the three primary drivers identified were factors intrinsic to the department, consent form and our patients; signifying there was a lack of standard awareness, education and safety-net to ensure sustainability. To tackle this in-turn, we designed three PDSA cycles: Departmental seminar and poster, legal education session, and theatre checklist adaptation. Results Following our first PDSA cycle, the mean percentage increased from 12% to 44%. Using projection analysis, we anticipate this to increase to 76% after the second PDSA cycle, and 100% after PDSA3, with 100% sustainability 1 year later. Conclusions Overall, our results to-date show that the proportion of patients receiving their consent form copy has improved following our first PDSA cycle, indicating that awareness plays an important role in the consenting process. We predict that education plays an equal role; and given the research supporting the implications of checklists, we forecast that this later element will be the ultimatum leading to 100% sustainability of patients receiving their consent form copy prior to surgery.

Application of Data Envelopment Analysis Method Based on E-commerce Internet Supply Chain Management

Objectives: The department mainly studies the application of data envelopment analysis method based on e-commerce Internet supply chain management in China’s economic management. Methods: Taking the number of state-owned shares of the listed company and the size of the company as external environmental factors, firstly, the three-stage data packet analysis (DEA) is used to measure the operational efficiency of 312 e-commerce companies, thus a DEA model is established. Results: Secondly, the DEA projection analysis is used to quantify the output of the inefficient company, and the improvement plan of the company’s factor input is proposed according to the size of the projection value. Conclusion: Finally, the sample is selected for empirical analysis. The results show that projection analysis can effectively improve the economic operation efficiency of enterprises.

Towards Ecological Sustainability: Assessing Dynamic Total-Factor Ecology Efficiency in Africa

Ecological footprint (EF) and human development index (HDI) are two critical indicators for assessing sustainable development worldwide. Past studies in Africa have ignored dynamic sustainable total-factor ecological efficiency (DSTFEE) assessment. This present study proffers a novel dynamic sustainable total-factor ecological efficiency (DSTFEE) that comprehensively assesses the ecological efficiency among 44 sampled African economies from 2010 to 2016. Our study incorporates EF and HDI in the model. Second, the study evaluates regional DSTFEE heterogeneity efficiency as well as the technological gap efficiency in Africa. Further, projection analysis is done to offer a viable solution path to address the inefficient African countries. Third, the study investigates the determinants of ecological efficiency using the bootstrap truncation regression technique. The results from the implemented models are as follows: first, the DSTFEE for the 44 sampled African countries is very low (0.403), indicating enormous potential for improvement. Second, the heterogeneity of DSTFEE across the five Africa regional blocs is evident. The southern bloc had the highest efficiency score, followed by the northern, central, western, and eastern regions. The technology gap ratio also reveals a massive gap among the five Africa regional blocs. Third, the bootstrap truncation regression results established a U-shape nexus between growth and DSTFEE in Africa. REC and trade openness is positively corrected to DSTFEE for African countries. In contrast, financial development, foreign direct investment (FDI), and urbanization impede dynamic ecological efficiency in Africa. The study’s results equip African countries with adequate knowledge of their ecological efficiency situation and provide them a viable path to improve environmental efficiency, thereby boosting their ecological sustainability.

DEA Comprehensive Evaluation on Enterprise’s Technology Innovation Capacity

As evaluation factors of enterprise technology innovation capacity are very complicated, evaluation methods commonly used do not consider interrelationships between every capacity element, which results in subjectivity of evaluation results. Because non-parametric methods can be used to deal with evaluation problems with many input and output, this thesis proposes DEA evaluation idea and establish DEA evaluation module. Through practical case study, optimum value analysis of sample enterprise, returns to scale analysis and projection analysis, relatively efficient enterprises are identified and adjustment proposals are put forth for inefficient enterprises. Case study shows that: DEA evaluation method is an efficient method to evaluate enterprise technology innovation capacity.

A Parallel Partial Enhancement Method for License Plate Localization in Low-Quality Images

Finding an effective license plate localization (LPL) method is challenging owing to different conditions during the image acquisition phase. Most existing methods do not consider various low-quality image conditions that exist in real-world situations. Low-quality image conditions mean that an image can have low resolution, plate imperfection effects, variable illumination environments or background objects similar to the license plate (LP). To improve the anti-interference ability and the speed performance of algorithm, this study aims to develop a parallel partial enhancement method based on color differences that demonstrates improved localization performance for blue–white LP images under low-quality conditions. A novel color difference model is exploited to enhance LP areas and filter non-LP areas. Blue–white color ratio and projection analysis are performed to select the exact LP area from the candidates. Moreover, this study develops a parallel version based on a multicore CPU for real-time processing for industrial applications. An image database including 395 low-quality car images captured from various scenes under different conditions is tested for the performance evaluation. The extensive experiments show the effectiveness and efficiency of the proposed approach.

Uniform Manifold Approximation and Projection Analysis of Soccer Players

In professional soccer, the choices made in forming a team lineup are crucial for achieving good results. Players are characterized by different skills and their relevance depends on the position that they occupy on the pitch. Experts can recognize similarities between players and their styles, but the procedures adopted are often subjective and prone to misclassification. The automatic recognition of players’ styles based on their diversity of skills can help coaches and technical directors to prepare a team for a competition, to substitute injured players during a season, or to hire players to fill gaps created by teammates that leave. The paper adopts dimensionality reduction, clustering and computer visualization tools to compare soccer players based on a set of attributes. The players are characterized by numerical vectors embedding their particular skills and these objects are then compared by means of suitable distances. The intermediate data is processed to generate meaningful representations of the original dataset according to the (dis)similarities between the objects. The results show that the adoption of dimensionality reduction, clustering and visualization tools for processing complex datasets is a key modeling option with current computational resources.

Research on Task Satellite Selection Method for Space Object Detection LEO Constellation Based on Observation Window Projection Analysis

Aiming at the task planning and scheduling problem of space object detection LEO constellation (SODLC) for detecting space objects in deep space background, a method of SODLC task satellite selection based on observation window projection analysis is proposed. This method projects the spatial relative relationships of the SODLC observation blind zone, observation range, and the initial spatial position of the objects onto the surface of the earth for detectable analysis of satellites and targets and binds the dynamic observation conditions to the satellite trajectory after projection calculation of the visible relationship between target changes. On this basis, combined with the features of SODLC with high orbital symmetry, the task satellite selection is divided into two steps: orbit plane selection and task satellite selection. The orbit planes are selected based on the longitude range of the ascending node with the geographic location of the targets, and the task satellites are selected according to the relative motion relationship between the satellites and the targets together with the constraints of observable conditions. The selection method simplifies the calculation process of scheduling and selecting task satellites. Simulation analysis prove the method has better task satellite selection efficiency. The method has high practical value for task planning and scheduling for event-driven SODLC.