Estimation Models for the adoption and use of information technology: internet-related technologies at firm level in the Portuguese and European context

Dissertação apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

Cidadão e comunidade : que relevância no processo de contratualizaç

RESUMO - Nas últimas décadas, a especialização dos cuidados médicos tem conduzido a uma fragmentação do sistema de prestação, que, associada a uma deficiente coordenação entre serviços, cuidados e prestadores, torna a navegabilidade dos utentes nos sistemas de saúde uma tarefa complexa. Um novo modelo de organização, assente na procura de valor para os cidadãos, deve adoptar uma abordagem sistémica, que tenha subjacente uma coordenação integrada de serviços, numa perspectiva de ciclo de cuidados. Reorientar a prestação de cuidados para a obtenção de resultados e valor em saúde, exige uma reengenharia em torno da estrutura, organização e avaliação1 dos cuidados, requerendo, nomeadamente: i) instrumentos e ferramentas que auxiliem e estruturem este novo modelo; ii) assumpção dos papéis definidos para cada um dos actores do sistema, nomeadamente ao nível da coordenação; iii) encorajamento à adopção de modelos de contratualização, pagamento e competição, que responsabilizem os actores envolvidos não só pela prática que desenvolvem, mas pelos resultados em saúde. Estes mecanismos constituem uma oportunidade para expandir e sustentar abordagens, programas e intervenções integradas. Investir num sistema de pagamento por valor em saúde — P4V — payment for value, traduz uma aposta na relação entre diagnóstico, tratamento, resultados clínicos e custos, enquanto estratégia para assegurar ganhos em qualidade dos cuidados, eficiência dos processos e valor em saúde para o cidadão. Neste contexto, a gestão da doença enquanto modelo direccionado para o reforço da perspectiva e participação activa do cidadão, e avaliação compreensiva de novas formas de organização e gestão do sistema de prestação, constitui um instrumento para informar e sustentar esse processo de reengenharia do sistema. Um modelo que procura assegurar o encontro entre o estado da arte na prestação de cuidados e um nível óptimo, garantindo a qualidade de vida expectável para a pessoa com doença crónica. ----------------- ---------ABSTRACT – In the last decades advanced medical sciences trend to specialized care and fragmented health systems, leaving patients with a challenge on navigating services and care, requiring them to see a sequence of specialists each delivering discrete interventions. To overcome these challenges, every health system must redefine health care delivery to use its resources more efficiently and improve quality of care through an organization of the system as a whole. A system currently organized around value for patients, entails a framework that comprises the entire set of activities needed to address a patient´s medical condition, over the full cycle of care. Value- based care delivery therefore requires an integrated practice, both across services and time, and implies a movement through new structures, organization models, evaluation efforts and payment systems that enables, catalyze and reinforces the extension and sustainability of the steps needed to the change required. A shift from a payment for performance to a payment for value focuses attention on maximizing the overall value of care, and encourages coordination and integration between components of care that extends from screening, diagnoses, all the way through treatment, outcomes and costs, and ensuring an incentive for potentially high value types of care as well as innovation. These leave the actors of the system with the task of best allocating and valuing components of care. Disease management as a model designed to structure patient engagement and involvement in their care, and assure a comprehensive evaluation and monitoring of new organization and care delivery strategies align an opportunity as a source of information and sustainability for the progress of a growing number of likeminded efforts now underway across care delivery for chronic diseases. This framework will allow the fulfillment of the gap between sta

A contratualização em cuidados de saúde primários : o contexto internaci

RESUMO - A temática da contratualização no contexto da reforma dos cuidados de saúde primários tem suscitado grande controvérsia, sendo certo, porém, que se tornou também uma questão incontornável na organização dos serviços de saúde. Por outro lado, o aperfeiçoamento dos processos de contratualização e o desenvolvimento de ferramentas adequadas ao bom desempenho das unidades prestadoras constituem, nos dias de hoje, um assunto prioritário nas organizações de saúde de todo o mundo. Através de uma revisão bibliográfica extensiva, pretendeu-se conhecer as experiências de contratualização, em contexto de cuidados de saúde primários, desenvolvidas e/ou em curso em alguns países, tendo em vista, em última análise, contribuir para uma reflexão sobre os modelos implementados ou sustentar a adopção de novas abordagens para este nível de cuidados em Portugal, tendo por base a evidência internacional. ------------- -------------ABSTRACT – The contracting of health services in the context of primary health care reform has aroused heated debate, however, it became definitively a key element in the organization of health services. Furthermore, the continuous improvement of the contracting process and development of suitable tools to develop the performance of health care providers are considered, today, a matter of the highest importance in healthcare organizations throughout the world. Following an extensive bibliographic review, we identified and characterized some contracting experiences in the primary health care context, which were developed and/or are still going on in some countries, in order to contribute to the reflection on the current models and eventually support the adoption of new approaches in Por

Behavioral and synaptic circuit analysis in models of neuropsychiatric disorders: Dissecting the in vivo role of the postsynaptic density proteins nArgBP2 and Shank3 using genetic engineered mice

Dissertation presented to obtain the Ph.D degree in Biology

Models for pheromone evaluation in Ant Systems for Mobile Ad-hoc networks

On a mobile ad-hoc network environment, where the resources are scarce, the knowledge about the network's link state is essential to optimize the routing procedures. This paper presents a study about different pheromone evaluation models and how they react to possible changes in traffic rate. Observing how the pheromone value on a link changes, it could be possible to identify certain patterns which can indicate the path status. For this study, the behavior of the Ant System evaluation model was compared with a Temporal Active Pheromone model (a biological approach) and a Progressive Pheromone Reduction model with and without a maximum pheromone limit.

Mathematical modelling of shallow flows: closure models drawn from grain-scale mechanics of sediment transport and flow hydrodynamics

Canadian Journal of Civil Engineering 36(10) 1605–16

Maturity models in the hospital information systems management initial research

Os modelos de maturidade são instrumentos facilitadores da gestão das organizações, incluindo a gestão da sua função sistemas de informação, não sendo exceção as organizações hospitalares. Neste artigo apresenta-se uma investigação inicial que visa o desenvolvimento de um abrangente modelo de maturidade para a gestão dos sistemas de informação hospitalares. O desenvolvimento deste modelo justifica-se porque os modelos de maturidade atuais no domínio da gestão dos sistemas informação hospitalares ainda se encontram numa fase embrionária de desenvolvimento, sobretudo porque são pouco detalhados, não disponibilizam ferramentas para determinação da maturidade e não apresentam as características dos estágios de maturidade estruturadas por diferentes fatores de influência.

Probabilistic models for mechanical properties of prestressing strands

This study focus on the probabilistic modelling of mechanical properties of prestressing strands based on data collected from tensile tests carried out in Laboratório Nacional de Engenharia Civil (LNEC), Portugal, for certification purposes, and covers a period of about 9 years of production. The strands studied were produced by six manufacturers from four countries, namely Portugal, Spain, Italy and Thailand. Variability of the most important mechanicalproperties is examined and the results are compared with the recommendations of the ProbabilisticModel Code, as well as the Eurocodes and earlier studies. The obtained results show a very low variability which, of course, benefits structural safety. Based on those results, probabilistic modelsfor the most important mechanical properties of prestressing strands are proposed.

Non-linear time series models

The last three decades have seen quite dramatic changes the way we modeled time dependent data. Linear processes have been in the center stage in modeling time series. As far as the second order properties are concerned, the theory and the methodology are very adequate.However, there are more and more evidences that linear models are not sufficiently flexible and rich enough for modeling purposes and that failure to account for non-linearities can be very misleading and have undesired consequences.

A score test for non-nested hypotheses with applications to discrete data models

This paper suggests that a convenient score test against non-nested alternatives can be constructed from the linear combination of the likelihood functions of the competing models. It is shown that this procedure is essentially a test for the correct specification of the conditional distribution of the variable of interest.

Comparing the performance of geostatistical models with additional information from covariates for sewage plume characterization

In this work, kriging with covariates is used to model and map the spatial distribution of salinity measurements gathered by an autonomous underwater vehicle in a sea outfall monitoring campaign aiming to distinguish the effluent plume from the receiving waters and characterize its spatial variability in the vicinity of the discharge. Four different geostatistical linear models for salinity were assumed, where the distance to diffuser, the west-east positioning, and the south-north positioning were used as covariates. Sample variograms were fitted by the Mat`ern models using weighted least squares and maximum likelihood estimation methods as a way to detect eventual discrepancies. Typically, the maximum likelihood method estimated very low ranges which have limited the kriging process. So, at least for these data sets, weighted least squares showed to be the most appropriate estimation method for variogram fitting. The kriged maps show clearly the spatial variation of salinity, and it is possible to identify the effluent plume in the area studied. The results obtained show some guidelines for sewage monitoring if a geostatistical analysis of the data is in mind. It is important to treat properly the existence of anomalous values and to adopt a sampling strategy that includes transects parallel and perpendicular to the effluent dispersion.

Performance of state space and ARIMA models for consumer retail sales forecasting

Forecasting future sales is one of the most important issues that is beyond all strategic and planning decisions in effective operations of retail businesses. For profitable retail businesses, accurate demand forecasting is crucial in organizing and planning production, purchasing, transportation and labor force. Retail sales series belong to a special type of time series that typically contain trend and seasonal patterns, presenting challenges in developing effective forecasting models. This work compares the forecasting performance of state space models and ARIMA models. The forecasting performance is demonstrated through a case study of retail sales of five different categories of women footwear: Boots, Booties, Flats, Sandals and Shoes. On both methodologies the model with the minimum value of Akaike's Information Criteria for the in-sample period was selected from all admissible models for further evaluation in the out-of-sample. Both one-step and multiple-step forecasts were produced. The results show that when an automatic algorithm the overall out-of-sample forecasting performance of state space and ARIMA models evaluated via RMSE, MAE and MAPE is quite similar on both one-step and multi-step forecasts. We also conclude that state space and ARIMA produce coverage probabilities that are close to the nominal rates for both one-step and multi-step forecasts.

Tuple-based morphisms for interoperability establishment of financial information models

Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica e Computadores

ANIMAL MODELS FOR THE STUDY OF LEISHMANIASIS IMMUNOLOGY

Leishmaniasis remains a major public health problem worldwide and is classified as Category I by the TDR/WHO, mainly due to the absence of control. Many experimental models like rodents, dogs and monkeys have been developed, each with specific features, in order to characterize the immune response to Leishmania species, but none reproduces the pathology observed in human disease. Conflicting data may arise in part because different parasite strains or species are being examined, different tissue targets (mice footpad, ear, or base of tail) are being infected, and different numbers (“low” 1×102 and “high” 1×106) of metacyclic promastigotes have been inoculated. Recently, new approaches have been proposed to provide more meaningful data regarding the host response and pathogenesis that parallels human disease. The use of sand fly saliva and low numbers of parasites in experimental infections has led to mimic natural transmission and find new molecules and immune mechanisms which should be considered when designing vaccines and control strategies. Moreover, the use of wild rodents as experimental models has been proposed as a good alternative for studying the host-pathogen relationships and for testing candidate vaccines. To date, using natural reservoirs to study Leishmania infection has been challenging because immunologic reagents for use in wild rodents are lacking. This review discusses the principal immunological findings against Leishmania infection in different animal models highlighting the importance of using experimental conditions similar to natural transmission and reservoir species as experimental models to study the immunopathology of the disease.