Carga de trabalho de enfermagem e infecções relacionadas à assistência à saúde na unidade de terapia intensiva

In recent decades, the search for quality care has been widely discussed by the institutions and health professionals. In this context, it is the nurse coordinator of the process of providing nursing staff, reflecting the commitment to quality of care. In this process, it is the appearance of Infections Related to health care and its potential association with the workload in nursing as a valuable indicator of quality of care. Thus, this research contributes to studies to characterize the demand of nursing work to promote a safe healthcare practice. This study aimed to identify the association of nursing workload with the number of cases of Ventilator-Associated Pneumonia, urinary tract infection and central venous catheter infection in the intensive care unit. This is a quantitative research approach, descriptive, cross-sectional and prospective, held at Unimed Hospital in Natal-RN. The study population consisted of all patients treated in the Intensive Care Unit, Hospital for a period of 90 consecutive days in 2011. The convenience sample was compostapelos patients admitted to the ICU during the period of data collection, a total sample of 286 patients. To perform the data analysis software were used: Statistica 6.0, SPPS (Statistical Package for Social Sciences) version 17.0 (2004) and Excel 2007. In the descriptive analysis, we used Measures of Central Tendency and Measures of Dispersion or Variability and the use of nonparametric tests. Of the 286 patients, 88 were from the ICU and 198 ICU II II. Males predominated in the ICU I (51.1%) and female ICU II (57.6%) patients in the ICU I were aged 61-80 years (39.8%) followed by greater than 80 years (39.8%). In the ICU II, most of the patients were aged 61-80 years (38.9%) and then from 41 to 60 years (24.2%). In relation to the class of TISS inlet predominant class II in the two ICUs (59.1%), followed by Class III also in the two units (34.6%). Most patients (70.6%) out of the ICUs belonging to class II TISS. In the ICU I, the average number of forms of the TISS 28 was 6, has in ICU II this value drops to 3.2 forms. The overall mean was 19.9 TISS points in ICU patients I and ICU II.the 17 points in the average hours required to provide adequate nursing care to patients in the ICU I found that is 10 , 7 hours, and the ICU II 9.2 hours. It was found that the time provided by the nursing staff were higher in ICU II, with an average of 19 hours available for nurses in this sector. In the ICU I, which showed higher need of available hours, it was found that the mean value of 12.7 available hours. It was found that only 2.4% of patients had these units Ventilator-Associated Pneumonia, 1.0% were infected central venous catheter and 1.4% of patients had urinary tract infection. Infection associated with health care occurs, on average, on the tenth day of hospitalization. In the ICU II, this average value extends to the twelfth day with an excess of 2.7 hours of nursing care while in ICU I value decays to the ninth day of hospitalization with a deficiency of 12-hour assistance. It is concluded that patients generally showed a need for classification of semi-intensive care and has been assisted in their need to load. As for his association with the Related Infections Health will assist this analysis could not be performed due to the small number of notifications in this period. It is suggested further study how other factors related to infections me a longer period of analysis

Modelagem de dados de falhas de equipamentos de sub-superfície em poços de petróleo da Bacia Potiguar

This master´s thesis presents a reliability study conducted among onshore oil fields in the Potiguar Basin (RN/CE) of Petrobras company, Brazil. The main study objective was to build a regression model to predict the risk of failures that impede production wells to function properly using the information of explanatory variables related to wells such as the elevation method, the amount of water produced in the well (BSW), the ratio gas-oil (RGO), the depth of the production bomb, the operational unit of the oil field, among others. The study was based on a retrospective sample of 603 oil columns from all that were functioning between 2000 and 2006. Statistical hypothesis tests under a Weibull regression model fitted to the failure data allowed the selection of some significant predictors in the set considered to explain the first failure time in the wells

Construção e implementação do Balanced Scorecard em uma organização educacional: o caso do Serviço Nacional de Aprendizagem Comercial do Rio Grande do Norte SENAC RN

The changes that have taken place in the organizational environment in recent decades have led to new performance measurement systems being proposed, given the inadequacy of traditional models. The Balanced Scorecard (BSC) emerged as an instrument to translate financial and non-financial assets into real values for all interested parties in the organization, allowing the introduction of strategies to achieve the desired goals. Research shows that most errors committed with the use of this method are related to the implementation process. Thus, the aim of this dissertation is to analyze the process of building and implementing the BSC in an organization. This empirical exploratory study is based on the classic case study method, which enables the researcher to work with a set of evidence, including direct observation, interviews and document analysis. The results show that the use of BSC in the company investigated posed problems during the process of building and implementing the method. These problems were caused mainly by the lack of involvement on the part of upper management and the team s scant knowledge of Balanced Scorecard. One of the gains obtained from adopting the system was the introduction and/or consolidation of a culture of strategic planning and participative management. The continuous implementation phase was highlighted in the monitoring program, created by the organization in an attempt to reverse existing problems, using the BSC as a third generation strategic management system, which led to significant gains, better use of the system and stronger management practices

Detecção e isolamento de falhas em sistemas dinâmicos baseados em redes neurais

This master dissertation presents the development of a fault detection and isolation system based in neural network. The system is composed of two parts: an identification subsystem and a classification subsystem. Both of the subsystems use neural network techniques with multilayer perceptron training algorithm. Two approaches for identifica-tion stage were analyzed. The fault classifier uses only residue signals from the identification subsystem. To validate the proposal we have done simulation and real experiments in a level system with two water reservoirs. Several faults were generated above this plant and the proposed fault detection system presented very acceptable behavior. In the end of this work we highlight the main difficulties found in real tests that do not exist when it works only with simulation environments

Análise de desempenho de sistemas de comunicação sem-fio para monitoramento de unidade de produção de poços petrolíferos terrestres

The greater part of monitoring onshore Oil and Gas environment currently are based on wireless solutions. However, these solutions have a technological configuration that are out-of-date, mainly because analog radios and inefficient communication topologies are used. On the other hand, solutions based in digital radios can provide more efficient solutions related to energy consumption, security and fault tolerance. Thus, this paper evaluated if the Wireless Sensor Network, communication technology based on digital radios, are adequate to monitoring Oil and Gas onshore wells. Percent of packets transmitted with successful, energy consumption, communication delay and routing techniques applied to a mesh topology will be used as metrics to validate the proposal in the different routing techniques through network simulation tool NS-2

Proposta de integração das redes de comunicação da COSERN como uma solução de contigêncvia em caso de falhas nos enlaces do backbone de automação

T'his dissertation proposes alternative models to allow the interconnectioin of the data communication networks of COSERN Companhia Energética do Rio Grande do Norte. These networks comprise the oorporative data network, based on TCP/IP architecture, and the automation system linking remote electric energy distribution substations to the main Operatin Centre, based on digital radio links and using the IEC 60870-5-101 protoco1s. The envisaged interconnection aims to provide automation data originated from substations with a contingent route to the Operation Center, in moments of failure or maintenance of the digital radio links. Among the presented models, the one chosen for development consists of a computational prototype based on a standard personal computer, working under LINUX operational system and running na application, developesd in C language, wich functions as a Gateway between the protocols of the TCP/IP stack and the IEC 60870-5-101 suite. So, it is described this model analysis, implementation and tests of functionality and performance. During the test phase it was basically verified the delay introduced by the TCP/IP network when transporting automation data, in order to guarantee that it was cionsistent with the time periods present on the automation network. Besides , additional modules are suggested to the prototype, in order to handle other issues such as security and prioriz\ation of the automation system data, whenever they are travesing the TCP/IP network. Finally, a study hás been done aiming to integrate, in more complete way, the two considered networks. It uses IP platform as a solution of convergence to the communication subsystem of na unified network, as the most recente market tendencies for supervisory and other automation systems indicate

Sistema híbrido para detecção e diagnóstico de falhas em sistemas dinâmicos

The industries are getting more and more rigorous, when security is in question, no matter is to avoid financial damages due to accidents and low productivity, or when it s related to the environment protection. It was thinking about great world accidents around the world involving aircrafts and industrial process (nuclear, petrochemical and so on) that we decided to invest in systems that could detect fault and diagnosis (FDD) them. The FDD systems can avoid eventual fault helping man on the maintenance and exchange of defective equipments. Nowadays, the issues that involve detection, isolation, diagnose and the controlling of tolerance fault are gathering strength in the academic and industrial environment. It is based on this fact, in this work, we discuss the importance of techniques that can assist in the development of systems for Fault Detection and Diagnosis (FDD) and propose a hybrid method for FDD in dynamic systems. We present a brief history to contextualize the techniques used in working environments. The detection of fault in the proposed system is based on state observers in conjunction with other statistical techniques. The principal idea is to use the observer himself, in addition to serving as an analytical redundancy, in allowing the creation of a residue. This residue is used in FDD. A signature database assists in the identification of system faults, which based on the signatures derived from trend analysis of the residue signal and its difference, performs the classification of the faults based purely on a decision tree. This FDD system is tested and validated in two plants: a simulated plant with coupled tanks and didactic plant with industrial instrumentation. All collected results of those tests will be discussed

Eosi: um modelo para desenvolvimento de sistemas embarcados tolerantes a falhas

The semiconductor technologies evolutions leads devices to be developed with higher processing capability. Thus, those components have been used widely in more fields. Many industrial environment such as: oils, mines, automotives and hospitals are frequently using those devices on theirs process. Those industries activities are direct related to environment and health safe. So, it is quite important that those systems have extra safe features yield more reliability, safe and availability. The reference model eOSI that will be presented by this work is aimed to allow the development of systems under a new view perspective which can improve and make simpler the choice of strategies for fault tolerant. As a way to validate the model na architecture FPGA-based was developed.

Aplicação de sistemas multi-classificadores no diagnóstico de falhas em motores de indução trifásicos

Equipment maintenance is the major cost factor in industrial plants, it is very important the development of fault predict techniques. Three-phase induction motors are key electrical equipments used in industrial applications mainly because presents low cost and large robustness, however, it isn t protected from other fault types such as shorted winding and broken bars. Several acquisition ways, processing and signal analysis are applied to improve its diagnosis. More efficient techniques use current sensors and its signature analysis. In this dissertation, starting of these sensors, it is to make signal analysis through Park s vector that provides a good visualization capability. Faults data acquisition is an arduous task; in this way, it is developed a methodology for data base construction. Park s transformer is applied into stationary reference for machine modeling of the machine s differential equations solution. Faults detection needs a detailed analysis of variables and its influences that becomes the diagnosis more complex. The tasks of pattern recognition allow that systems are automatically generated, based in patterns and data concepts, in the majority cases undetectable for specialists, helping decision tasks. Classifiers algorithms with diverse learning paradigms: k-Neighborhood, Neural Networks, Decision Trees and Naïves Bayes are used to patterns recognition of machines faults. Multi-classifier systems are used to improve classification errors. It inspected the algorithms homogeneous: Bagging and Boosting and heterogeneous: Vote, Stacking and Stacking C. Results present the effectiveness of constructed model to faults modeling, such as the possibility of using multi-classifiers algorithm on faults classification

Reconhecimento de padrões de falhas em motores trifásicos utilizando redes neurais

This work presents a diagnosis faults system (rotor, stator, and contamination) of three-phase induction motor through equivalent circuit parameters and using techniques patterns recognition. The technology fault diagnostics in engines are evolving and becoming increasingly important in the field of electrical machinery. The neural networks have the ability to classify non-linear relationships between signals through the patterns identification of signals related. It is carried out induction motor´s simulations through the program Matlab R & Simulink R , and produced some faults from modifications in the equivalent circuit parameters. A system is implemented with multiples classifying neural network two neural networks to receive these results and, after well-trained, to accomplish the identification of fault´s pattern

Utilização de redes neurais artificiais para detecção e diagnóstico de falhas

In a real process, all used resources, whether physical or developed in software, are subject to interruptions or operational commitments. However, in situations in which operate critical systems, any kind of problem may bring big consequences. Knowing this, this paper aims to develop a system capable to detect the presence and indicate the types of failures that may occur in a process. For implementing and testing the proposed methodology, a coupled tank system was used as a study model case. The system should be developed to generate a set of signals that notify the process operator and that may be post-processed, enabling changes in control strategy or control parameters. Due to the damage risks involved with sensors, actuators and amplifiers of the real plant, the data set of the faults will be computationally generated and the results collected from numerical simulations of the process model. The system will be composed by structures with Artificial Neural Networks, trained in offline mode using Matlab®

Sistema para detecção e diagnóstico de falhas em motores elétricos de indução utilizando lógica fuzzy

Induction motors are one of the most important equipment of modern industry. However, in many situations, are subject to inadequate conditions as high temperatures and pressures, load variations and constant vibrations, for example. Such conditions, leaving them more susceptible to failures, either external or internal in nature, unwanted in the industrial process. In this context, predictive maintenance plays an important role, where the detection and diagnosis of faults in a timely manner enables the increase of time of the engine and the possibiity of reducing costs, caused mainly by stopping the production and corrective maintenance the motor itself. In this juncture, this work proposes the design of a system that is able to detect and diagnose faults in induction motors, from the collection of electrical line voltage and current, and also the measurement of engine speed. This information will use as input to a fuzzy inference system based on rules that find and classify a failure from the variation of thess quantities

Sistema especialista para detecção de falhas em comandos elétricos

This work consists of the creation of a Specialist System which utilizes production rules to detect inadequacies in the command circuits of an operation system and commands of electric engines known as Direct Start. Jointly, three other modules are developed: one for the simulation of the commands diagram, one for the simulation of faults and another one for the correction of defects in the diagram, with the objective of making it possible to train the professionals aiming a better qualification for the operation and maintenance. The development is carried through in such a way that the structure of the task allows the extending of the system and a succeeding promotion of other bigger and more complex typical systems. The computational environment LabView is employed to enable the system

O uso pedagógico de uma seqüência didática para a aquisição de algumas idéias relacionadas ao conceito de números complexos

The aim of the present work is to contribute to the teaching-learning process in Mathematics through an alternative which tries to motivate the student so that he/she will learn the basic concepts of Complex Numbers and realize that they are not pointless. Therefore, this work s general objective is to construct a didactic sequence which contains structured activities that intends to build up, in each student s thought, the concept of Complex Numbers. The didactic sequence is initially based on a review of the main historical aspects which begot the construction of those numbers. Based on these aspects, and the theories of Richard Skemp, was elaborated a sequence of structured activities linked with Maths history, having the solution of quadratic equations as a main starting point. This should make learning more accessible, because this concept permeates the students previous work and, thus, they should be more familiar with it. The methodological intervention began with the application of that sequence of activities with grade students in public schools who did not yet know the concept of Complex Numbers. It was performed in three phases: a draft study, a draft study II and the final study. Each phase was applied in a different institution, where the classes were randomly divided into groups and each group would discuss and write down the concepts they had developed about Complex Numbers. We also use of another instrument of analysis which consisted of a recorded interview of a semi-structured type, trying to find out the ways the students thought in order to construct their own concepts, i.e. the solutions of the previous activity. Their ideas about Complex Numbers were categorized according to their similarities and then analyzed. The results of the analysis show that the concepts constructed by the students were pertinent and that they complemented each other this supports the conclusion that the use of structured activities is an efficient alternative for the teaching of mathematics

Variáveis relacionadas ao processo de adesão a um programa de prevenção de quedas em idosos cadastrados na Estratégia de Saúde da Família

Introduction: Falls among older adults is a public health problem, therefore it is necessary preventive actions, however the adherence is the major problem faced by practitioners and researchers working on falls prevention programs. Objective: To evaluate the variables related to the adherence to falls prevention programs among the elderly enrolled in a Basic Health Unit (BHU). Methods: Was performed an observational cross-sectional analytical study. All elderly registered in a BHU and able to ambulate independently were invited to participate in a falls prevent program. The Elderly who Adhered to the Program (EAP) were evaluated at BHU; and the Elderly Not Adhered to the Program (ENAP) were identified and assessed at home. The assessment for both groups was performed using an evaluation form containing personal data, measures and clinical scales to assess cognitive status, balance, mobility, fear of falling, handgrip strength. Data were analyzed with SPSS 20.0. In addition to this assessment, the ENAP underwent a semi structured interview, in which we used the qualitative approach based on the figure of the Collective Subject Discourse. Results: The study included 222 elderly, 111 EAP and 111ENAP, most aged between 70 and 79 years (48.2%), female (68.5%), married (52.3%) and illiterate (47.7%). Consolidated as protective factors for adherence, worst rates of physical activity (p = 0.001), balance (p = 0.010) and cognition (p = 0.007). The interview of ENAP identified two themes: "Local implementation of programs for the prevention of falls" and "Relationship between BHU and the elderly health care," and found that the elderly who did not adhere were unable to displace and did not mention that primary care programs are related to health care in elderly. Conclusions: Elderly who do not adhere to the program differ from elderly who adhere as worst indices of cognition, balance and physical activity which implies greater risk of falling; and they were unable to participate in falls prevention program and by to be caregiver and showed displacement difficult