947 resultados para Medical laboratory technology


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With the advanced technology of medical devices and sensors, an abundance of medical data streams are available. However, data analysis techniques are very limited, especially for processing massive multiple physiological streams that may only be understood by medical experts. The state-of-the-art techniques only allow multiple medical devices to independently monitor different physiological parameters for the patient's status, thus they signal too many false alarms, creating unnecessary noise, especially in the Intensive Care Unit (ICU). An effective solution which has been recently studied is to integrate information from multiple physiologic parameters to reduce alarms. But it is a challenge to detect abnormalities from high frequently changed physiological streams data, since abnormalities occur gradually due to the complex situation of patients. An analysis of ICU physiological data streams shows that many vital physiological parameters are changed periodically (such as heart rate, arterial pressure, and respiratory impedance) and thus abnormalities are generally abnormal period patterns. In this paper, we develop a Mining Abnormal Period Patterns from Multiple Physiological Streams (MAPPMPS) method to detect and rank abnormalities in medical sensor streams. The efficiency and effectiveness of the MAPPMPS method is demonstrated by a real-world massive database of multiple physiological streams sampled in ICU, comprising 250 patients' streams (each stream involving over 1.3 million data points) with a total size of 28 GB data.

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Chinese Medicine (CM) has become increasingly demanding globally. Recent World Health Organisation traditional and complementary medicine strategy of integrating CM to Western Medicine (WM) indicates that it is crucial that CM developments have strong literature, scientific, and evidence-based medical approval and support. To achieve this, there is a need to form a synthesis foundation or platform for future studies. This chapter serves to discover this synthesis that is suitable for CM by discussing the basics of inquiring and Knowledge Management (KM) systems. It suggests that CM should follow a combination of Hegelian and Kantian inquiring systems with the support of Singerian and Leibnizian inquiring systems and KM features. This proposed synthesis is one of the first, if not the first study to apply Churchman's inquiring systems into the context of CM and differentiate them from WM.

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OBJECTIVES: To systematically review cost of illness studies for schizophrenia (SC), epilepsy (EP) and type 2 diabetes mellitus (T2DM) and explore the transferability of direct medical cost across countries.

METHODS: A comprehensive literature search was performed to yield studies that estimated direct medical costs. A generalized linear model (GLM) with gamma distribution and log link was utilized to explore the variation in costs that accounted by the included factors. Both parametric (Random-effects model) and non-parametric (Boot-strapping) meta-analyses were performed to pool the converted raw cost data (expressed as percentage of GDP/capita of the country where the study was conducted).

RESULTS: In total, 93 articles were included (40 studies were for T2DM, 34 studies for EP and 19 studies for SC). Significant variances were detected inter- and intra-disease classes for the direct medical costs. Multivariate analysis identified that GDP/capita (p<0.05) was a significant factor contributing to the large variance in the cost results. Bootstrapping meta-analysis generated more conservative estimations with slightly wider 95% confidence intervals (CI) than the parametric meta-analysis, yielding a mean (95%CI) of 16.43% (11.32, 21.54) for T2DM, 36.17% (22.34, 50.00) for SC and 10.49% (7.86, 13.41) for EP.

CONCLUSIONS: Converting the raw cost data into percentage of GDP/capita of individual country was demonstrated to be a feasible approach to transfer the direct medical cost across countries. The approach from our study to obtain an estimated direct cost value along with the size of specific disease population from each jurisdiction could be used for a quick check on the economic burden of particular disease for countries without such data.

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In current e-health research and development there is a need for a broader understanding of the capabilities and resources required for individuals to use and benefit from e-health services, i.e. their e-health literacy. The aim of
this study was to develop a new conceptualisation of e-health literacy with consideration of the experiences of a wide range of stakeholders and in alignment with current technologies. Concept mapping was used to generate a comprehensive and grounded model of e-health literacy. Concept mapping workshop participants included patients, health professionals and medical informatics experts. Eight workshops, carried out in Denmark and United Kingdom, generated 450 statements, separated into 128 clusters. Through an inductive structured analysis, seven domains were identified: 1. Ability to process information, 2. Engagement in own health, 3. Ability to engage actively with digital services, 4. Feeling safe and in control, 5. Motivation to engage with digital services, 6. Having access to systems that work, and 7. Digital services that suit individual needs. These empirically derived domains form an e-health literacy framework (eHLF) and provide new insights into the user’s ability to understand, access and use e-health technologies. The eHLF offers a framework for evaluating an individual’s or a population’s capacity to understand, use and benefit from technology to promote and maintain their health. Such a framework also provides a potential checklist for the development and improvement of e-health services.

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Although it has long been recognised that doctors play a crucial role in the effectiveness and efficiency of health organisations, patient experience and clinical outcomes, over the past 20 years the topic of medical engagement has started to garner significant international attention. Australia currently lags behind other countries in its heedfulness to, and evidence base for, medical engagement. This Perspective piece explores the link between medical engagement and health system performance and identifies some key questions that need to be addressed in Australia if we are to drive more effective engagement.

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Human Fertility 17(3):165-9 This article describes the experiences of twelve Irish couples who had successful IVF treatment in Ireland. Irish Medical guidelines specify that IVF may only be used when no other treatment is likely to be effective. This article is based on data drawn from a longitudinal research study by Cotter (2009) which tells the stories of 34 couples who sought fertility treatment. Initially, the women assumed that they would become pregnant when they stopped using contraception. As a couple, it was the ‘right time’ for them to have a child - they were ready, socially and financially. For several months they were patient, hoping it would happen naturally. With envy and some despair they watched as their friends had babies. Infertility came as a shock to most of them. They were reluctant to talk about it to anyone, and over time their anxieties were accompanied by feelings of regret, stigma and social exclusion. They finally sought medical treatment. The latter involved a series of diagnostic treatments, which eventually culminated in IVF which offered them a final chance of having a ‘child of their own’. While IVF can be clinically assessed in terms of cycle success rates, their stories showed treatment as a series of discoveries, as an extensive range of diagnostic tests and procedures helped to reveal to them where their problems might lie. They described their treatments as a series of sequential ‘hurdles’ that they had to overcome, which further strengthened their resolve to try IVF. Much more knowledgeable at that stage, they embraced IVF as a final challenge with single minded dedication while drawing on all their psychological and biological resources to promote a successful outcome. Of the 34 couples who took part in the study, twelve got pregnant. Unfortunately, two children died shortly after birth but eighteen babies survived (see Table I). The findings suggest that health policy should raise awareness of infertility, and advise women to become aware of it just as in the past, when health policy addressed contraception. Increased public knowledge would reduce the stigma attached to the inability to have a baby. In the Irish case, infertility diagnosis should be reviewed with a view to giving eligible couples earlier access to IVF.  

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This thesis has introduced an infrastructure to share dynamic medical data between mixed health care providers in a secure way, which could benefit the health care system as a whole. The study results of the universally data sharing into a varied patient information system prototypes.

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Objectives: to evaluate the cognitive learning of nursing students in neonatal clinical evaluation from a blended course with the use of computer and laboratory simulation; to compare the cognitive learning of students in a control and experimental group testing the laboratory simulation; and to assess the extracurricular blended course offered on the clinical assessment of preterm infants, according to the students. Method: a quasi-experimental study with 14 Portuguese students, containing pretest, midterm test and post-test. The technologies offered in the course were serious game e-Baby, instructional software of semiology and semiotechnique, and laboratory simulation. Data collection tools developed for this study were used for the course evaluation and characterization of the students. Nonparametric statistics were used: Mann-Whitney and Wilcoxon. Results: the use of validated digital technologies and laboratory simulation demonstrated a statistically significant difference (p = 0.001) in the learning of the participants. The course was evaluated as very satisfactory for them. The laboratory simulation alone did not represent a significant difference in the learning. Conclusions: the cognitive learning of participants increased significantly. The use of technology can be partly responsible for the course success, showing it to be an important teaching tool for innovation and motivation of learning in healthcare.

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Raman spectroscopy of formamide-intercalated kaolinites treated using controlled-rate thermal analysis technology (CRTA), allowing the separation of adsorbed formamide from intercalated formamide in formamide-intercalated kaolinites, is reported. The Raman spectra of the CRTA-treated formamide-intercalated kaolinites are significantly different from those of the intercalated kaolinites, which display a combination of both intercalated and adsorbed formamide. An intense band is observed at 3629 cm-1, attributed to the inner surface hydroxyls hydrogen bonded to the formamide. Broad bands are observed at 3600 and 3639 cm-1, assigned to the inner surface hydroxyls, which are hydrogen bonded to the adsorbed water molecules. The hydroxyl-stretching band of the inner hydroxyl is observed at 3621 cm-1 in the Raman spectra of the CRTA-treated formamide-intercalated kaolinites. The results of thermal analysis show that the amount of intercalated formamide between the kaolinite layers is independent of the presence of water. Significant differences are observed in the CO stretching region between the adsorbed and intercalated formamide.

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