Eventos adversos relacionados a terapia de infusión intravenosa en la paciente obstétrica en un hospital de tercer nivel de toluca

En la Séptima Reunión Anual del Foro Europeo de las Asociaciones de Enfermeríay la Organización Mundial de la Salud, se enfatizaron puntos importantes enrelación a la seguridad de los pacientes, en estos puntos se reconoció que laseguridad del paciente conlleva a un análisis y comprensión de los eventosadversos, y una estimación real del problema.El sistema nacional de salud en los últimos años, particularmente en las escuelasuniversitarias de enfermería y en algunas instituciones de salud tanto públicascomo privadas, ha insistido de manera importante en destacar los cuidados deenfermería como el eje principal de brindar servicios de calidad, la cual tiene unvalor importante en la atención a la salud, por ello enfermería como miembro deeste equipo debe desarrollar una cultura de calidad

Ontology selection: ontology evaluation on the real Semantic Web

The increasing number of ontologies on the Web and the appearance of large scale ontology repositories has brought the topic of ontology selection in the focus of the semantic web research agenda. Our view is that ontology evaluation is core to ontology selection and that, because ontology selection is performed in an open Web environment, it brings new challenges to ontology evaluation. Unfortunately, current research regards ontology selection and evaluation as two separate topics. Our goal in this paper is to explore how these two tasks relate. In particular, we are interested to get a better understanding of the ontology selection task and filter out the challenges that it brings to ontology evaluation. We discuss requirements posed by the open Web environment on ontology selection, we overview existing work on selection and point out future directions. Our major conclusion is that, even if selection methods still need further development, they have already brought novel approaches to ontology evaluatio

Envisioning a Trauma-Sensitive Public Health Department: Implications for Practice, Policy, and Research

Historically, the concept of trauma and long-term sequelae has rested primarily in the fields of psychology and psychiatry. However, recent attention and research around the health implications of trauma have unmasked this concept as a pervasive public health issue. This has catalyzed a movement to create a paradigm shift that transforms a formerly myopic understanding of trauma towards one that acknowledges the complexity and wide reaching impact trauma. At the core of this paradigm shift is an understanding of the interconnectedness between trauma and socio-ecological constructs at the individual, family, community, and organizational level. Public health departments are well positioned to be leaders in this change. This paper will explore the role that early childhood trauma, organizational trauma, and resilience play in the public health field and how these concepts help to inform the need for a coordinated, multi-tiered approach to addressing trauma as a public health issue. Additionally, a three month pilot project, implemented at the City of Berkeley Public Health Department, will be discussed including implications learned from this case study that help inform practical applications, policy, and future research for public health departments

Oil Sands Extraction: Lessons From Alberta Can, and Should, Inform American Policies

Enclosed is a final empirical project on foreign direct investment as impacted by (or impacting) infrastructure development levels in the countries of the former Soviet Union

Fuzzy specification in software engineering

Judging quality of any decision making procedure is a key problem whenever there is no possibility of developing a sequence of experiments allowing some kind of ratio relative to good results. It may be the case that we have only chances for a unique experiment or no similar experiences are available, but it may be also the case that no standard experiment allows the observation of such a good behavior, simply because such good behavior can not be properly defined. This situation is quite often associated to complex decision making problems. Then the only support we can find for our decision is the decision process itself, the consistency of the arguments leading to such a decision. Checking the quality of such a procedure is therefore a key issue. In this paper we postulate that the design and formal specification of algorithms and processes require a fuzzy approach, since quite often specification is being poorly dened