3 resultados para Inference.

em RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal


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RESUMO - INTRODUÇÃO: Para garantir a qualidade e universalidade dos cuidados de Saúde, é fundamental, que os recursos disponíveis sejam bem utilizados, evitando desperdícios. Os resultados de um hospital estão diretamente ligados aos resultados do Bloco Operatório. A taxa de utilização e a taxa de cancelamentos são indicadores da atividade dos Blocos Operatórios. Realizou-se um estudo piloto no Hospital Dr. José de Almeida em Cascais. OBJECTIVO: Conhecer as taxas de cancelamento de cirurgias no próprio dia. METODOLOGIA: Estudo descritivo longitudinal, retrospectivo, quantitativo, às cirurgias agendadas, entre 1 de Janeiro e 31 de Março de 2012. Utilizou-se a estatística descritiva e a inferência estatística através de testes de independência de variáveis. RESULTADOS: 1524 cirurgias agendadas, canceladas 205, com 100 cancelamentos no próprio dia. Os resultados revelam na globalidade taxas de cancelamento (13,45%) inferiores às fornecidas pelo Ministério da Saúde em relação a 2008, 2009 e 2010, com 28,4%, 26,0% e 26,6% respectivamente. No entanto, as taxas de cancelamento no próprio dia são semelhantes 48,78% no estudo e, entre 44,1% e 50,5% nos dados do Ministério da Saúde. Os estudos internacionais consultados revelam taxas globais de 0,34% na China (Sung,2010) num hospitalar multidisciplinar e 30,3% (taxa de cancelamentos no dia) na Índia (Garg, 2009). CONCLUSÃO: A imputação do motivo de cancelamento é feita ao “serviço/ hospital” ou a “outros”, o utente apresenta uma taxa baixa de imputação do motivo de cancelamento. Foi encontrada uma relação de dependência entre as variáveis, com exceção da relação entre data do cancelamento e a especialidade cirúrgica. Assim, considera-se pertinente a realização de um estudo mais aprofundado e abrangente deste fenómeno nas instituições de saúde em Portugal.

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According to a recent Eurobarometer survey (2014), 68% of Europeans tend not to trust national governments. As the increasing alienation of citizens from politics endangers democracy and welfare, governments, practitioners and researchers look for innovative means to engage citizens in policy matters. One of the measures intended to overcome the so-called democratic deficit is the promotion of civic participation. Digital media proliferation offers a set of novel characteristics related to interactivity, ubiquitous connectivity, social networking and inclusiveness that enable new forms of societal-wide collaboration with a potential impact on leveraging participative democracy. Following this trend, e-Participation is an emerging research area that consists in the use of Information and Communication Technologies to mediate and transform the relations among citizens and governments towards increasing citizens’ participation in public decision-making. However, despite the widespread efforts to implement e-Participation through research programs, new technologies and projects, exhaustive studies on the achieved outcomes reveal that it has not yet been successfully incorporated in institutional politics. Given the problems underlying e-Participation implementation, the present research suggested that, rather than project-oriented efforts, the cornerstone for successfully implementing e-Participation in public institutions as a sustainable added-value activity is a systematic organisational planning, embodying the principles of open-governance and open-engagement. It further suggested that BPM, as a management discipline, can act as a catalyst to enable the desired transformations towards value creation throughout the policy-making cycle, including political, organisational and, ultimately, citizen value. Following these findings, the primary objective of this research was to provide an instrumental model to foster e-Participation sustainability across Government and Public Administration towards a participatory, inclusive, collaborative and deliberative democracy. The developed artefact, consisting in an e-Participation Organisational Semantic Model (ePOSM) underpinned by a BPM-steered approach, introduces this vision. This approach to e-Participation was modelled through a semi-formal lightweight ontology stack structured in four sub-ontologies, namely e-Participation Strategy, Organisational Units, Functions and Roles. The ePOSM facilitates e-Participation sustainability by: (1) Promoting a common and cross-functional understanding of the concepts underlying e-Participation implementation and of their articulation that bridges the gap between technical and non-technical users; (2) Providing an organisational model which allows a centralised and consistent roll-out of strategy-driven e-Participation initiatives, supported by operational units dedicated to the execution of transformation projects and participatory processes; (3) Providing a standardised organisational structure, goals, functions and roles related to e-Participation processes that enhances process-level interoperability among government agencies; (4) Providing a representation usable in software development for business processes’ automation, which allows advanced querying using a reasoner or inference engine to retrieve concrete and specific information about the e-Participation processes in place. An evaluation of the achieved outcomes, as well a comparative analysis with existent models, suggested that this innovative approach tackling the organisational planning dimension can constitute a stepping stone to harness e-Participation value.

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Dispersion of returns has gained a lot of attention as a measure to distinguish good and bad investment opportunities time. In the following dissertation, the cross-sectional returns volatility is analyzed over a fifteen year period across the S&P100 Index composition. The main inference drawn from the data sample is that the canonical measure of dispersion is highly macro-risk driven and therefore more biased towards returns volatility rather than its correlation component.