Integração de um sistema de gestão de informação clínica hospitalar numa unidade de cuidados continuados

O crescimento da população idosa impõe o desenvolvimento de serviços de qualidade orientados para as necessidades comuns desta faixa etária. A área dos cuidados continuados corresponde a um segmento em crescimento com um forte potencial de desenvolvimento no que concerne ao domínio dos sistemas de informação (SI). O presente trabalho pressupõe o acompanhamento do processo de integração de um SI de uma Unidade Hospitalar (UH) numa Unidade de Cuidados Continuados (UCC) para idosos. A análise envolveu o recurso à Teoria Actor-network (ANT), enquanto posicionamento teórico de relevo para o desenvolvimento de SI. Esta teoria coloca, equitativamente, em destaque os factores humano e não humano como concorrentes para o sucesso no desenvolvimento de um SI. O processo em destaque neste trabalho envolveu a análise compreensiva dos SI das unidades de saúde envolvidas; monitorização e descrição do processo de integração do SI de inspiração hospitalar na UCC; avaliação do resultado final; estabelecimento de requisitos fundamentais para o desenho de um SI adaptado a uma organização prestadora de cuidados continuados a idosos. Estas etapas foram desenvolvidas tendo por base a concretização de 3 ciclos, integradores dos conceitos da ANT com o processo de Engenharia de Requisitos: Ciclo 1 - análise do sistema sócio-técnico; Ciclo 2 – desenho do novo sistema sócio-técnico; Ciclo 3 – transformação da rede sócio-técnica. A metodologia inerente ao processo envolveu a análise documental, realização de notas de campo, entrevista e questionário. Os requisitos são apresentados através da conceptualização de um SI denominado Gestão de Cuidados Residenciais (GCR). Conclui-se, que para que um SI resulte com eficácia, eficiência e efetividade para uma organização, deverá revelar-se adaptado ao propósito e missão da organização em causa, sob pena de induzir fragilidade ao ciclo operacional e ao modelo de gestão de informação.

Supporting conceptualisation processes in collaborative networks: a case study on an R&D project

The development of new products or processes involves the creation, re-creation and integration of conceptual models from the related scientific and technical domains. Particularly, in the context of collaborative networks of organisations (CNO) (e.g. a multi-partner, international project) such developments can be seriously hindered by conceptual misunderstandings and misalignments, resulting from participants with different backgrounds or organisational cultures, for example. The research described in this article addresses this problem by proposing a method and the tools to support the collaborative development of shared conceptualisations in the context of a collaborative network of organisations. The theoretical model is based on a socio-semantic perspective, while the method is inspired by the conceptual integration theory from the cognitive semantics field. The modelling environment is built upon a semantic wiki platform. The majority of the article is devoted to developing an informal ontology in the context of a European R&D project, studied using action research. The case study results validated the logical structure of the method and showed the utility of the method.

Remote experimentation network - yielding an inter-university peer-to-peer e-service

The goal of this paper is to discuss the benefits and challenges of yielding an inter-continental network of remote laboratories supported and used by both European and Latin American Institutions of Higher Education. Since remote experimentation, understood as the ability to carry out real-world experiments through a simple Web browser, is already a proven solution for the educational community as a supplement to on-site practical lab work (and in some cases, namely for distance learning courses, a replacement to that work), the purpose is not to discuss its technical, pedagogical, or economical strengths, but rather to raise and try to answer some questions about the underlying benefits and challenges of establishing a peer-to-peer network of remote labs. Ultimately, we regard such a network as a constructive mechanism to help students gain the working and social skills often valued by multinational/global companies, while also providing awareness of local cultural aspects.

Multilayer Perceptron Neural Networks Training Through Charged System Search and its Application for Non-Technical Losses Detection

The non-technical loss is not a problem with trivial solution or regional character and its minimization represents the guarantee of investments in product quality and maintenance of power systems, introduced by a competitive environment after the period of privatization in the national scene. In this paper, we show how to improve the training phase of a neural network-based classifier using a recently proposed meta-heuristic technique called Charged System Search, which is based on the interactions between electrically charged particles. The experiments were carried out in the context of non-technical loss in power distribution systems in a dataset obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others natureinspired optimization techniques for training neural networks. Thus, it is possible to improve some applications on Smart Grids.