10 resultados para Activity-Based Management
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Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação
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Paper presented at the 8th European Conference on Knowledge Management, Barcelona, 6-7 Sep. 2008 URL: http://www.academic-conferences.org/eckm/eckm2007/eckm07-home.htm
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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics
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RESUMO - Introdução: A ausência de um plano de contabilidade analítica para os Cuidados de Saúde Primários é um problema para a realização da contabilidade interna, fundamental para a gestão de qualquer instituição de saúde. Sem linhas orientadoras para a uniformização dos critérios de imputação e distribuição dos custos/proveitos, torna-se complicado obter dados analíticos para que haja um controlo de gestão mais eficaz, que permita a utilização dos recursos de uma forma eficiente e racional, melhorando a qualidade da prestação de cuidados aos utentes. Objectivo: O presente projecto de investigação tem como principal objectivo apurar o custo por utente nos Cuidados de Saúde Primários. Metodologia: Foi construída uma metodologia de apuramento de custos com base no método Time-Driven Activity-Based Costing. O custo foi imputado a cada utente utilizando os seguintes costs drivers: tempo de realização da consulta e a produção realizada para a imputação dos custos com o pessoal médico; produção realizada para a imputação dos outros custos com o pessoal e dos custos indirectos variáveis; número total de utentes inscritos para a imputação dos custos indirectos fixos. Resultados: O custo total apurado foi 2.980.745,10€. O número médio de consultas é de 3,17 consultas por utente inscrito e de 4,72 consultas por utente utilizador. O custo médio por utente é de 195,76€. O custo médio por utente do género feminino é de 232,41€. O custo médio por utente do género masculino é de 154,80€. As rubricas com mais peso no custo total por utente são os medicamentos (40,32%), custo com pessoal médico (22,87%) e MCDT (17,18%). Conclusão: Na implementação de um sistema de apuramentos de custos por utente, é fulcral que existam sistemas de informação eficientes que permitam o registo dos cuidados prestados ao utente pelos vários níveis de prestação de cuidados. É importante também que a gestão não utilize apenas os resultados apurados como uma ferramenta de controlo de custos, devendo ser potenciada a sua utilização para a criação de valor ao utente.
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Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e de Computadores
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Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica
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Dissertation to Obtain Master Degree in Biomedical Engineering
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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
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Using a green methodology, 17 different poly(2-oxazolines) were synthesized starting from four different oxazoline monomers. The polymerization reactions were conducted in supercritical carbon dioxide under a cationic ring-opening polymerization (CROP) mechanism using boron trifluoride diethyl etherate as the catalyst. The obtained living polymers were then end-capped with different types of amines, in order to confer them antimicrobial activity. For comparison, four polyoxazolines were end-capped with water, and by their hydrolysis the linear poly(ethyleneimine) (LPEI) was also produced. After functionalization the obtained polymers were isolated, purified and characterized by standard techniques (FT-IR, NMR, MALDI-TOF and GPC). The synthesized poly(2-oxazolines) revealed an unusual intrinsic blue photoluminescence. High concentration of carbonyl groups in the polymer backbone is appointed as a key structural factor for the presence of fluorescence and enlarges polyoxazolines’ potential applications. Microbiological assays were also performed in order to evaluate their antimicrobial profile against gram-positive Staphylococcus aureus NCTC8325-4 and gram-negative Escherichia coli AB1157 strains, two well known and difficult to control pathogens. The minimum inhibitory concentrations (MIC)s and killing rates of three synthesized polymers against both strains were determined. The end-capping with N,N-dimethyldodecylamine of living poly(2- methyl-2-oxazoline) and poly(bisoxazoline) led to materials with higher MIC values but fast killing rates (less than 5 minutes to achieve 100% killing for both bacterial species) than LPEI, a polymer which had a lower MIC value, but took a longer time to kill both E.coli and S.aureus cells. LPEI achieved 100% killing after 45 minutes in contact with E. coli and after 4 hours in contact with S.aureus. Such huge differences in the biocidal behavior of the different polymers can possibly underlie different mechanisms of action. In the future, studies to elucidate the obtained data will be performed to better understand the killing mechanisms of the polymers through the use of microbial cell biology techniques.
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The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.