11 resultados para Hospital housekeeping.
em Universidade do Minho
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Hospitals are nowadays collecting vast amounts of data related with patient records. All this data hold valuable knowledge that can be used to improve hospital decision making. Data mining techniques aim precisely at the extraction of useful knowledge from raw data. This work describes an implementation of a medical data mining project approach based on the CRISP-DM methodology. Recent real-world data, from 2000 to 2013, were collected from a Portuguese hospital and related with inpatient hospitalization. The goal was to predict generic hospital Length Of Stay based on indicators that are commonly available at the hospitalization process (e.g., gender, age, episode type, medical specialty). At the data preparation stage, the data were cleaned and variables were selected and transformed, leading to 14 inputs. Next, at the modeling stage, a regression approach was adopted, where six learning methods were compared: Average Prediction, Multiple Regression, Decision Tree, Artificial Neural Network ensemble, Support Vector Machine and Random Forest. The best learning model was obtained by the Random Forest method, which presents a high quality coefficient of determination value (0.81). This model was then opened by using a sensitivity analysis procedure that revealed three influential input attributes: the hospital episode type, the physical service where the patient is hospitalized and the associated medical specialty. Such extracted knowledge confirmed that the obtained predictive model is credible and with potential value for supporting decisions of hospital managers.
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BACKGROUND: When an organization performs an integrated analysis of risks through its Occupational Health and Safety Management System, several steps are suggested to address the implications of the identified risks. Namely, the organization should make a detailed analysis of the monetary impact for the organization of each of the preventive measures considered. However, it is also important to perform an analysis of the impact of each measure on society (externalities). OBJECTIVE: The aim of this paper is to present a case study related to the application of the proposed economic evaluation methodology. METHODS: An analysis of the work accidents in a hospital has been made. Three of the major types of accidents have been selected: needle stings, falls and excessive strain. Following the risk assessment, some preventive measures have been designed. Subsequently, the Benefit/Cost ratio (B/C) of these measures has been calculated, both in financial terms (from the organization’s perspective) and in economic terms (including the benefits for the worker and for the Society). RESULTS: While the financial ratio is only advantageous in some cases, when the externalities are taken into account, the B/C ratio increases significantly. CONCLUSIONS: It is important to consider external
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Instituição administrada pela Misericórdia de Braga desde meados do século XVI, o hospital de S. Marcos tornou-se ao longo da Idade Moderna um importante local de tratamento ao corpo e de salvação da alma para doentes pobres, recebendo enfermos de todo o arcebispado, mas também de outras partes do reino e mesmo do estrangeiro. Os cuidados prestados ao corpo e à alma exigiam equipas de trabalho, a aquisição de bens e uma administração que fizesse cumprir as regras existentes. O nosso estudo procurará analisar as relações de sociabilidade existentes no interior do hospital, a aquisição de bens, nomeadamente para as enfermarias, a cozinha e a igreja, a alimentação dos enfermos, os cuidados médicos e a caridade dispensada a quem estava doente e era pobre. Pretende-se dar a conhecer o funcionamento e as vivências de uma instituição que, progressivamente, foi ocupando um lugar cada vez mais importante na cidade.
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Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Engenharia Clínica)
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Source point treatment of effluents with a high load of pharmaceutical active compounds (PhACs), such as hospital wastewater, is a matter of discussion among the scientific community. Fungal treatments have been reported to be successful in degrading this type of pollutants and, therefore, the white-rot fungus Trametes versicolor was applied for the removal of PhACs from veterinary hospital wastewater. Sixty-six percent removal was achieved in a non-sterile batch bioreactor inoculated with T. versicolor pellets. On the other hand, the study of microbial communities by means of DGGE and phylogenetic analyses led us to identify some microbial interactions and helped us moving to a continuous process. PhAC removal efficiency achieved in the fungal treatment operated in non-sterile continuous mode was 44 % after adjusting the C/N ratio with respect to the previously calculated one for sterile treatments. Fungal and bacterial communities in the continuous bioreactors were monitored as well.
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Allied to an epidemiological study of population of the Senology Unit of Braga’s Hospital that have been diagnosed with malignant breast cancer, we describe the progression in time of repeated measurements of tumor marker Carcinoembryonic antigen (CEA). Our main purpose is to describe the progression of this tumor marker as a function of possible risk factors and, hence, to understand how these risk factors influences that progression. The response variable, values of CEA, was analyzed making use of longitudinal models, testing for different correlation structures. The same covariates used in a previous survival analysis were considered in the longitudinal model. The reference time used was time from diagnose until death from breast cancer. For diagnostic of the models fitted we have used empirical and theoretical variograms. To evaluate the fixed term of the longitudinal model we have tested for a changing point on the effect of time on the tumor marker progression. A longitudinal model was also fitted only to the subset of patients that died from breast cancer, using the reference time as time from date of death until blood test.
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Tese de Doutoramento em História - Especialidade de Idade Moderna
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Aims: Depression is the most common psychiatric disorder among people infected with HIV. This study aims to characterize the Hospital of Joaquim Urbano population of HIV-infected patients’ profile regarding depressive symptoms and whether they correlate with the analytical parameters most frequently evaluated in the context of infection by this virus – HIV viral load, CD4+ count and CD4+ percentage. Methods: We conducted an observational descriptive and analytical study. The participants’ level of depressive symptoms was assessed with the Beck Depression Inventory. The medical and psychiatric history and the analytical values of viral load, CD4+ count and CD4+ percentage were obtained by consulting the participants’ clinical processes. Results: A prevalence of 65.5% in HIV-infected patients’ depressive symptoms was found, with a considerable high percentage of subjects presenting with severe symptoms (32.7%). No associations between the depressive symptoms’ levels and CD4+ count, CD4+ percentage or viral load were found. However, depressive symptoms were associated with substance abuse and education level. Conclusions: The high prevalence of depressive symptoms found in this study reinforces the importance of monitoring this type of symptoms in HIV-infected subjects. The fact that there have been no associations between depressive symptoms and the analytical parameters evaluated is in line with previous studies.
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Relatório de estágio de mestrado em Ciências da Comunicação (área de especialização em Publicidade e Relações Públicas)
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Dissertação de mestrado integrado em Engenharia Industrial