Endoscopic retrograde cholangiopancreatography for suspected choledocholithiasis : from guidelines to clinical practice

Endoscopic retrograde cholangiopancreatography for suspected choledocholithiasis: From guidelines to clinical practice.

Critical events in mechanically ventilated patients

Mechanical Ventilation is an artificial way to help a Patient to breathe. This procedure is used to support patients with respiratory diseases however in many cases it can provoke lung damages, Acute Respiratory Diseases or organ failure. With the goal to early detect possible patient breath problems a set of limit values was defined to some variables monitored by the ventilator (Average Ventilation Pressure, Compliance Dynamic, Flow, Peak, Plateau and Support Pressure, Positive end-expiratory pressure, Respiratory Rate) in order to create critical events. A critical event is verified when a patient has a value higher or lower than the normal range defined for a certain period of time. The values were defined after elaborate a literature review and meeting with physicians specialized in the area. This work uses data streaming and intelligent agents to process the values collected in real-time and classify them as critical or not. Real data provided by an Intensive Care Unit were used to design and test the solution. In this study it was possible to understand the importance of introduce critical events for Mechanically Ventilated Patients. In some cases a value is considered critical (can trigger an alarm) however it is a single event (instantaneous) and it has not a clinical significance for the patient. The introduction of critical events which crosses a range of values and a pre-defined duration contributes to improve the decision-making process by decreasing the number of false positives and having a better comprehension of the patient condition.

Insatisfação com a imagem corporal após a cirurgia bariátrica: um estudo comparativo entre a cirurgia de revisão e primária

Dissertação de mestrado integrado em Psicologia (área de especialização em Psicologia Clínica e da Saúde)

Artificial neural networks in diagnosis of liver diseases

Liver diseases have severe patients��� consequences, being one of the main causes of premature death. These facts reveal the centrality of one`s daily habits, and how important it is the early diagnosis of these kind of illnesses, not only to the patients themselves, but also to the society in general. Therefore, this work will focus on the development of a diagnosis support system to these kind of maladies, built under a formal framework based on Logic Programming, in terms of its knowledge representation and reasoning procedures, complemented with an approach to computing grounded on Artificial Neural Networks.

Perceções dos enfermeiros e doentes com AVC sobre a educação para a saúde

Enquadramento: O Acidente Vascular Cerebral (AVC) acarreta múltiplas alterações no quotidiano do doente e seus familiares mas a reabilitação é considerada uma oportunidade. A Rede Nacional de Cuidados Continuados Integrados (RNCCI) facilita a reabilitação e a educação para a saúde possibilita a mudança de atitude necessária para a reabilitação. Objetivos: Conhecer e divulgar as perceções de doentes com AVC e enfermeiros relativamente às práticas de Educação para a Saúde na RNCCI. Metodologia: Qualitativa, com entrevista semi-estruturada, a 8 doentes e a 17 enfermeiros. A técnica escolhida foi a análise de conteúdo das entrevistas. Partimos de categorias definidas a priori, e emergiram outras categorias. Resultados: Os doentes atribuíram aos enfermeiros a maior parte da responsabilidade pela reabilitação. Os enfermeiros relacionaram os aspetos psicológicos e a importância do envolvimento da família com a adesão do doente ao regime terapêutico. Conclusão: Os doentes demonstram que se encontram no modelo biomédico, por outro lado os enfermeiros apontam o modelo biopsicossocial como orientador das suas práticas de Educação para a Saúde na rede.

Pharmaceutical regulation and pseudo - generics

Dissertação de mestrado em Economia Industrial e da Empresa

Otimização do internamento no Hospital de Braga usando metodologia Kaizen

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)

O setor de distribuição farmacêutica em Portugal estrutura e estratégias

A presente investigação desenvolveu uma análise profunda do setor da distribuição farmacêutica, no período compreendido entre 2000 e 2009, procurando identificar as possíveis relações de interdependência entre o meio envolvente e as opções de estratégia das empresas que constituíram a amostra de estudo e entre as referidas opções de estratégia e as estruturas e o desempenho dessas empresas. A dinâmica do mercado do medicamento na economia nacional, com um valor de 3,2 mil milhões de euros anuais (Infarmed, 2010), apresenta um impacto significativo na esperança de vida e na qualidade de vida dos cidadãos. Segundo a OCDE, os produtos farmacêuticos são responsáveis por quase um quinto de todos os gastos com saúde, em média, nos países da OCDE. Neste contexto, a distribuição farmacêutica representa uma componente crítica. A disponibilização de medicamentos em ambulatório num curto espaço de tempo só é possível devido a uma estrutura logística com características muito específicas. A qualidade do armazenamento e do transporte dos medicamentos desde a saída dos laboratórios até à chegada às farmácias é rigorosamente monitorizada e controlada. O setor da distribuição farmacêutica assume assim uma postura elementar na cadeia do medicamento, contribuindo para a melhoria da qualidade do sistema de saúde que se tem vindo a verificar nas últimas décadas e prestando um serviço com valor para a comunidade, uma vez que se compromete a assegurar um adequado e contínuo fornecimento de medicamentos para que as necessidades dos doentes e das populações em geral sejam satisfeitas. As alterações verificadas ao longo dos últimos anos estimularam a dinâmica concorrencial entre os diferentes agentes neste mercado, bastante regulamentado e com elevado entrosamento financeiro com o Estado, o que obrigou a rápidas mudanças. Neste contexto, a sobrevivência das empresas, o seu crescimento e a sua perenidade futura têm constituído um desafio abordado de forma diversa por cada empresa.

Treating the entire person

[Excerpt] A critical case from a Portuguese hospital reveals how the ultimate healthcare customer, the patient, is a complete system, not a jumble of parts. (...) The lean production philosophy has made inroads into service sectors, including medical care in the United Kingdom and the United States. Unfortunately, numerous medical organizations in those two countries and the rest of the world treat patients like they are made up of parts, not as a whole system. This leads to disjointed handoffs, bottlenecks in information flow that delay treatment, and sending the patient back and forth from department to department. The following case in Portugal shows how most of the world’s health systems still suffer from functional silos and how waste is all over the place. In this case, the missing links in communication between doctors, nurses, auxiliary staff, the patient and her family led to the patient’s death. Adopting lean healthcare with its proven tools would be a solution to many of the problems described. When a patient dies in a hospital, the family often is told that the doctors did everything they could. Normally, that is the case, as healthcare providers – doctors, nurses, auxiliary staff, therapists – do their best with the system they have.

Controlo e prevenção da infeção associada aos cuidados de saúde numa unidade de cuidados intensivos

Relatório de estágio de mestrado em Enfermagem da Pessoa em Situação Crítica

Development of a novel aptamer-based multi-sensor device for the detection of osteopontin

Doctoral Dissertation for PhD degree in Chemical and Biological Engineering

Plataforma de suporte à decisão médica para transplante de órgãos baseada em Business Intelligence

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)

Factors associated with the donation and non-donation of embryos for research: a systematic review

Background: Systematic knowledge on the factors that influence the decisions of IVF users regarding embryo donation for research is a core need for patient-centred policies and ethics in clinical practice. However, no systematic review has been provided on the motivations of patients who must decide embryo disposition. This paper fills this gap, presenting a systematic review of quantitative and qualitative studies, which synthesizes the current body of knowledge on the factors and reasons associated with IVF patients��� decisions to donate or not to donate embryos for research. Methods: A systematic search of studies indexed in PubMed, ISIWoK and PsycINFO, published before November 2013, was conducted. Only empirical, peer-reviewed, full-length, original studies reporting data on factors and reasons associated with the decision concerning donation or non-donation of embryos for research were included. Eligibility and data extraction were performed by two independent researchers and disagreements were resolved by discussion or a third reviewer, if required. The main quantitative findings were extracted and synthesized and qualitative data were assessed by thematic content analysis. Results: A total of 39 studies met the inclusion criteria and were included in the review. More than half of the studies (n ¼ 21) used a quantitative methodology, and the remaining were qualitative (n ¼ 15) or mixed-methods (n ¼ 3) studies. The studies were derived mainly from European countries (n ¼ 18) and the USA(n ¼ 11). The proportion of IVF users who donated embryos for research varied from 7% in a study in France to 73% in a Swiss study. Those who donate embryos for research reported feelings of reciprocity towards science and medicine, positive views of research and high levels of trust in the medical system. They described their decision as better than the destruction of embryos and as an opportunity to help others or to improve health and IVF treatments. The perception of risks, the lack of information concerning research projects and the medical system and the conceptualization of embryos in terms of personhood were the most relevant motives for not donating embryos for research. Results relating to the influence of sociodemographic characteristics and reproductive and gynaecological history were mostly inconclusive. Conclusions: Three iterative and dynamic dimensions of the IVF patients��� decision to donate or not to donate embryos for research emerged from this review: the hierarquization of the possible options regarding embryo disposition, according to the moral, social and instrumental status attributed to embryos; patients��� understanding of expectations and risks of the research on human embryos; and patients��� experiences of information exchange and levels of trust in the medical-scientific institutions.

Predicting triage waiting time in maternity emergency care by means of data mining

Healthcare organizations often benefit from information technologies as well as embedded decision support systems, which improve the quality of services and help preventing complications and adverse events. In Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto (CHP), an intelligent pre-triage system is implemented, aiming to prioritize patients in need of gynaecology and obstetrics care in two classes: urgent and consultation. The system is designed to evade emergency problems such as incorrect triage outcomes and extensive triage waiting times. The current study intends to improve the triage system, and therefore, optimize the patient workflow through the emergency room, by predicting the triage waiting time comprised between the patient triage and their medical admission. For this purpose, data mining (DM) techniques are induced in selected information provided by the information technologies implemented in CMIN. The DM models achieved accuracy values of approximately 94% with a five range target distribution, which not only allow obtaining confident prediction models, but also identify the variables that stand as direct inducers to the triage waiting times.