Fase pré-analítica – o laboratório no papel principal_SPML 2016

O Programa Nacional de Avaliação Externa da Qualidade (PNAEQ) foi criado em 1978 como sendo uma das atribuições do Instituto Nacional de Saúde Doutor Ricardo Jorge (INSA). A sua missão é promover, organizar e coordenar programas de avaliação externa da qualidade (AEQ) para laboratórios que exerçam atividade no setor da saúde. O primeiro programa de AEQ do PNAEQ para avaliação da Fase Pré-Analítica foi distribuído em 2007. Os ensaios são pluridisciplinares, podendo incluir o envio de amostras para avaliação das condições para processamento (aceitação ou rejeição, preparação, acondicionamento), a simulação de requisições médicas, a resposta a questionários, a interpretação de casos-estudo, o levantamento de dados (auditorias ou monitorização de indicadores) ou a realização de chamadas anónimas (“cliente mistério”). O PNAEQ disponibiliza ainda 4 programas em colaboração com a Labquality (Flebotomia e POCT, Química Clínica, Microbiologia e Gases no Sangue) e 1 programa com a ECAT (Hemostase). Em 2015 e 2016, o objetivo dos programas da Fase Pré-Analítica do PNAEQ foi proporcionar o envolvimento do laboratório no processo de avaliação e monitorização da fase pré-analítica, conferindo-lhe ferramentas que lhe permitam realizar a sua autoavaliação. A fase pré-analítica é a que absorve o maior número de erros na análise de amostras biológicas, representando 40% a 70% de todas as falhas ocorridas no processamento analítico (Codagnone et al, 2014). A principal razão está na dificuldade em controlar as variáveis pré-analíticas , uma vez que esta fase envolve inúmeras atividades não automatizadas como a colheita, o manuseamento, o transporte e a preparação das amostras.

Avaliação da Qualidade Laboratorial no Processo Pré-Analítico_SPML 2016

Devido à necessidade de selecionar e monitorizar indicadores de desempenho do processo pré analítico, a nível nacional, a Sociedade Portuguesa de Química Clínica e Medicina Laboratorial implementou o grupo de trabalho neste âmbito. Na reunião pretende-se, numa discussão interativa com os participantes, apresentar os trabalhos já desenvolvidos e planear projetos futuros que sejam consensuais e com impacto direto na melhoria da qualidade nesta fase extra-analítica. Um breve questionário será distribuído no início da apresentação de modo a recolher informação para organização dos trabalhos. Os dados recolhidos serão analisados pelos responsáveis/coordenadores do grupo de trabalho que divulgarão posteriormente a metodologia a implementar. Pretende-se ainda que sejam elaboradas diretrizes, para posterior divulgação, que poderão servir de guia com o objetivo de diminuição das falhas observadas na fase pré analítica.

Boletim Epidemiológico Observações: Vol. 5 (2016), Número Especial 7, Doenças Raras

Número Especial do Boletim Epidemiológico Observações dedicado às Doenças Raras. Observações é uma publicação científica trimestral do INSA, IP, que visa contribuir para o conhecimento da saúde da população, os fatores que a influenciam, a decisão e a intervenção em Saúde Pública, assim como a avaliação do seu impacte na população portuguesa. Através do acesso público e gratuito a resultados científicos gerados por atividades de observação em saúde, monitorização e vigilância epidemiológica, é dada especial atenção à disseminação rápida de informação relevante para a resposta a temas de relevo para a saúde da população portuguesa, tendo como principal alvo todos os profissionais, investigadores e decisores intervenientes na área da Saúde Pública em Portugal.

Doenças lisossomais de sobrecarga em Portugal: 10 anos de experiência em estudos moleculares no INSA (2006-2016)

As Doenças Lisososomais de Sobrecarga (DLS) são um grupo de mais de 50 doenças hereditárias do metabolismo, sendo a maioria causada por defeitos em enzimas lisossomais específicas. A característica distintiva das DLS é a acumulação lisossomal do(s) substrato(s) não degradado(s), bem como a acumulação de outro material secundariamente à disfunção lisossomal. A apresentação clínica destas patologias é bastante heterogénea, variando desde formas pré-natais, até apresentações infantis ou na idade adulta, sendo frequente a presença de atraso psicomotor e neurodegeneração progressiva. Neste artigo são apresentados os resultados de vários estudos de caracterização molecular efetuados ao longo da última década (2006-2016) em doentes portugueses com as seguintes DLS: Mucopolissacaridose II, Mucopolissacaridose IIIA, Mucopolissacaridose IIIB, Mucopolissacaridose IIIC, Sialidose, Galactosialidose, Gangliosidose GM1, Mucolipidose II alfa/beta, Mucolipidose III alfa/beta, Mucolipidose III gama e Doença de Unverricht-Lundborg. De um modo geral, estes trabalhos permitiram conhecer as variações genéticas associadas a estas DLS, analisar a sua distribuição na população portuguesa e compreender o seu papel na forma de apresentação clínica destas patologias.

Multi-criteria short-term maintenance outage scheduling in smart distribution systems

Effective legislation and standards for the coordination procedures between consumers, producers and the system operator supports the advances in the technologies that lead to smart distribution systems. In short-term (ST) maintenance scheduling procedure, the energy producers in a distribution system access to the long-term (LT) outage plan that is released by the distribution system operator (DSO). The impact of this additional information on the decision-making procedure of producers in ST maintenance scheduling is studied in this paper. The final ST maintenance plan requires the approval of the DSO that has the responsibility to secure the network reliability and quality, and other players have to follow the finalized schedule. Maintenance scheduling in the producers’ layer and the coordination procedure between them and the DSO is modelled in this paper. The proposed method is applied to a 33-bus distribution system.

MASGriP – a Multi-Agent Smart Grid Simulation Platform

The increasing number of players that operate in power systems leads to a more complex management. In this paper a new multi-agent platform is proposed, which simulates the real operation of power system players. MASGriP – A Multi-Agent Smart Grid Simulation Platform is presented. Several consumer and producer agents are implemented and simulated, considering real characteristics and different goals and actuation strategies. Aggregator entities, such as Virtual Power Players and Curtailment Service Providers are also included. The integration of MASGriP agents in MASCEM (Multi-Agent System for Competitive Electricity Markets) simulator allows the simulation of technical and economical activities of several players. An energy resources management architecture used in microgrids is also explained.

Mobi_System: A Personal Travel Assistance for Electrical Vehicles in Smart Cities

In this work it is proposed the design of a mobile system to assist car drivers in a smart city environment oriented to the upcoming reality of Electric Vehicles (EV). Taking into account the new reality of smart cites, EV introduction, Smart Grids (SG), Electrical Markets (EM), with deregulation of electricity production and use, drivers will need more information for decision and mobility purposes. A mobile application to recommend useful related information will help drivers to deal with this new reality, giving guidance towards traffic, batteries charging process, and city mobility infrastructures (e. g. public transportation information, parking places availability and car & bike sharing systems). Since this is an upcoming reality with possible process changes, development must be based on agile process approaches (Web services).

Typical load profiles in the smart grid context – a clustering methods comparison

The present research paper presents five different clustering methods to identify typical load profiles of medium voltage (MV) electricity consumers. These methods are intended to be used in a smart grid environment to extract useful knowledge about customer’s behaviour. The obtained knowledge can be used to support a decision tool, not only for utilities but also for consumers. Load profiles can be used by the utilities to identify the aspects that cause system load peaks and enable the development of specific contracts with their customers. The framework presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partition, which is supported by cluster validity indices. The process ends with the analysis of the discovered knowledge. To validate the proposed framework, a case study with a real database of 208 MV consumers is used.

A multi-agent based approach for intelligent smart grid management

The spread and globalization of distributed generation (DG) in recent years has should highly influence the changes that occur in Electricity Markets (EMs). DG has brought a large number of new players to take action in the EMs, therefore increasing the complexity of these markets. Simulation based on multi-agent systems appears as a good way of analyzing players’ behavior and interactions, especially in a coalition perspective, and the effects these players have on the markets. MASCEM – Multi-Agent System for Competitive Electricity Markets was created to permit the study of the market operation with several different players and market mechanisms. MASGriP – Multi-Agent Smart Grid Platform is being developed to facilitate the simulation of micro grid (MG) and smart grid (SG) concepts with multiple different scenarios. This paper presents an intelligent management method for MG and SG. The simulation of different methods of control provides an advantage in comparing different possible approaches to respond to market events. Players utilize electric vehicles’ batteries and participate in Demand Response (DR) contracts, taking advantage on the best opportunities brought by the use of all resources, to improve their actions in response to MG and/or SG requests.

Energy efficiency analysis considering the use of an intelligent systems management in a smart home

In this abstract is presented an energy management system included in a SCADA system existent in a intelligent home. The system control the home energy resources according to the players definitions (electricity consumption and comfort levels), the electricity prices variation in real time mode and the DR events proposed by the aggregators.

Using demand response to deal with unexpected low wind power generation in the context of smart grid

Demand response is assumed an essential resource to fully achieve the smart grids operating benefits, namely in the context of competitive markets. Some advantages of Demand Response (DR) programs and of smart grids can only be achieved through the implementation of Real Time Pricing (RTP). The integration of the expected increasing amounts of distributed energy resources, as well as new players, requires new approaches for the changing operation of power systems. The methodology proposed aims the minimization of the operation costs in a smart grid operated by a virtual power player. It is especially useful when actual and day ahead wind forecast differ significantly. When facing lower wind power generation than expected, RTP is used in order to minimize the impacts of such wind availability change. The proposed model application is here illustrated using the scenario of a special wind availability reduction day in the Portuguese power system (8th February 2012).

A regulatory framework for short-term stochastic maintenance outage scheduling in smart grids

The current regulatory framework for maintenance outage scheduling in distribution systems needs revision to face the challenges of future smart grids. In the smart grid context, generation units and the system operator perform new roles with different objectives, and an efficient coordination between them becomes necessary. In this paper, the distribution system operator (DSO) of a microgrid receives the proposals for shortterm (ST) planned outages from the generation and transmission side, and has to decide the final outage plans, which is mandatory for the members to follow. The framework is based on a coordination procedure between the DSO and other market players. This paper undertakes the challenge of optimization problem in a smart grid where the operator faces with uncertainty. The results show the effectiveness and applicability of the proposed regulatory framework in the modified IEEE 34- bus test system.

Advances in smart grids - benefits on sharing background experiences from Portugal, Central Europe and Brazil

This paper presents ELECON - Electricity Consumption Analysis to Promote Energy Efficiency Considering Demand Response and Non-technical Losses, an international research project that involves European and Brazilian partners. ELECON focuses on energy efficiency increasing through consumer´s active participation which is a key area for Europe and Brazil cooperation. The project aims at significantly contributing towards the successful implementation of smart grids, focussing on the use of new methods that allow the efficient use of distributed energy resources, namely distributed generation, storage and demand response. ELECON puts together researchers from seven European and Brazilian partners, with consolidated research background and evidencing complementary competences. ELECON involves institutions of 3 European countries (Portugal, Germany, and France) and 4 Brazilian institutions. The complementary background and experience of the European and Brazilian partners is of main relevance to ensure the capacities required to achieve the proposed goals. In fact, the European Union (EU) and Brazil have very different resources and approaches in what concerns this area. Having huge hydro and fossil resources, Brazil has not been putting emphasis on distributed renewable based electricity generation. On the contrary, EU has been doing huge investments in this area, taking into account environmental concerns and also the economic EU external dependence dictated by huge requirements of energy related products imports. Sharing these different backgrounds allows the project team to propose new methodologies able to efficiently address the new challenges of smart grids.

Smart Electric Vehicle Charging System

In this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience, weather information based on data mining, and simulation approaches. In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart ElectricVehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.