967 resultados para health informatics


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Diagnostic accuracy and management recommendations of realtime teledermatology consultations using low-cost telemedicine equipment were evaluated. Patients were seen by a dermatologist over a video-link and a diagnosis and treatment plan were recorded. This was followed by a face-to-face consultation on the same day to confirm the earlier diagnosis and management plan. A total of 351 patients with 427 diagnoses participated. Sixty-seven per cent of the diagnoses made over the video-link agreed with the face-to-face diagnosis. Clinical management plans were recorded for 214 patients with 252 diagnoses. For this cohort, 44% of the patients were seen by the same dermatologist at both consultations, while 56% were seen by a different dermatologist. In 64% of cases the same management plan was recommended at both consultations; a sub-optimum treatment plan was recommended in 8% of cases; and in 9% of cases the video-link management plans were judged to be inappropriate. In 20% of cases the dermatologist was unable to recommend a suitable management plan by video-link. There were significant differences in the ability to recommend an optimum management plan by video-link when a different dermatologist made the reference management plan. The results indicate that a high proportion of dermatological conditions can be successfully managed by realtime teledermatology.

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Results from phase 1 of the UK Multicentre Teledermatology Trial demonstrated the diagnostic accuracy of realtime teledermatology using low-cost equipment. Phase 2 of the trial aimed to assess its effectiveness as a management tool for dermatological disease. Teledermatology consultations were organized between two health centres and two hospitals in Northern Ireland using low-cost videoconferencing equipment. For 205 patients seen by a dermatologist over the video-link a diagnosis and management plan were recorded. A subsequent face-to-face consultation was arranged on the same day to confirm the diagnosis and treatment regime. A comparison of these management plans revealed that the same plan was recommended in 64% of cases; the teledermatologist was unable to advocate a suitable management plan in 19% of cases; a suboptimal treatment plan was suggested by the teledermatologist in 6% of cases; and in 11% of cases, the teledermatologist suggested an inappropriate treatment plan. These findings indicate that appropriate clinical management was possible in approximately two-thirds of dermatology consultations via the video-link.

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Teledermatology consultations were organized between two health centers and two hospitals in Northern Ireland using low-cost videoconferencing equipment. A prospective study of patient satisfaction was carried out. Following each teleconsultation, patients were asked to complete a questionnaire assessing their satisfaction with the service. Over 22 months, 334 patients were seen by a dermatologist over the video-link, and 292 patients (87%) completed the 16-item questionnaire. Patients reported universal satisfaction with the technical aspects of teledermatology. The quality of both the audio and the display was highly acceptable to patients. Personal experiences of the teledermatology consultation were also favourable: 85% felt comfortable using the video-link. The benefits of teledermatology were generally recognized: 88% of patients thought that a teleconsultation could save time. Patients found the teledermatology consultation to be as acceptable as the conventional dermatology consultation. These findings suggest overall patient satisfaction with realtime teledermatology.

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Ultrasound has long been recognized as a means of effecting change at the cellular and tissue levels [1-3], which may be enhanced in the presence of photosensitive agents [4-6]. During insonation, the presence of bubbles can also play a role, creating strong microstreaming effects in solution and in more dramatic circumstances leading to the formation of energetic microjets [7], plasmas [8], and the production of other highly reactive species [9]. Such sonodynamic activity has generated particular excitement in the medical community as it Moreover the dual role for microbubbles as both an adjunct to therapy and a diagnostic echogenicity enhancer has seen industry take a proactive role in their development. In the present paper we studied the role of ultrasound driven sonoluminescent light on the degradation of a fluorescent test species (rhodamine) in the presence of an archetypal photocatalyst material, TiO 2, with a view to exploring its exploitation potential for downstream medical applications. We found that, whilst the efficiency of this process is seen to be low compared with conventional ultra-violet sources, we advocate the further exploration of the sonoluminescent approach given its potential for non-invasive applications. A strategy for enhancing the effect is also suggested. 

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Morphological changes in the retinal vascular network are associated with future risk of many systemic and vascular diseases. However, uncertainty over the presence and nature of some of these associations exists. Analysis of data from large population based studies will help to resolve these uncertainties. The QUARTZ (QUantitative Analysis of Retinal vessel Topology and siZe) retinal image analysis system allows automated processing of large numbers of retinal images. However, an image quality assessment module is needed to achieve full automation. In this paper, we propose such an algorithm, which uses the segmented vessel map to determine the suitability of retinal images for use in the creation of vessel morphometric data suitable for epidemiological studies. This includes an effective 3-dimensional feature set and support vector machine classification. A random subset of 800 retinal images from UK Biobank (a large prospective study of 500,000 middle aged adults; where 68,151 underwent retinal imaging) was used to examine the performance of the image quality algorithm. The algorithm achieved a sensitivity of 95.33% and a specificity of 91.13% for the detection of inadequate images. The strong performance of this image quality algorithm will make rapid automated analysis of vascular morphometry feasible on the entire UK Biobank dataset (and other large retinal datasets), with minimal operator involvement, and at low cost.

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Urothelial cancer (UC) is highly recurrent and can progress from non-invasive (NMIUC) to a more aggressive muscle-invasive (MIUC) subtype that invades the muscle tissue layer of the bladder. We present a proof of principle study that network-based features of gene pairs can be used to improve classifier performance and the functional analysis of urothelial cancer gene expression data. In the first step of our procedure each individual sample of a UC gene expression dataset is inflated by gene pair expression ratios that are defined based on a given network structure. In the second step an elastic net feature selection procedure for network-based signatures is applied to discriminate between NMIUC and MIUC samples. We performed a repeated random subsampling cross validation in three independent datasets. The network signatures were characterized by a functional enrichment analysis and studied for the enrichment of known cancer genes. We observed that the network-based gene signatures from meta collections of proteinprotein interaction (PPI) databases such as CPDB and the PPI databases HPRD and BioGrid improved the classification performance compared to single gene based signatures. The network based signatures that were derived from PPI databases showed a prominent enrichment of cancer genes (e.g., TP53, TRIM27 and HNRNPA2Bl). We provide a novel integrative approach for large-scale gene expression analysis for the identification and development of novel diagnostical targets in bladder cancer. Further, our method allowed to link cancer gene associations to network-based expression signatures that are not observed in gene-based expression signatures.

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Besides the spinal deformity, scoliosis modifies notably the general appearance of the trunk resulting in trunk rotation, imbalance, and asymmetries that constitutes patients' major concern. Existing classifications of scoliosis, based on the type of spinal curve as depicted on radiographs, are currently used to guide treatment strategies. Unfortunately, even though a perfect correction of the spinal curve is achieved, some trunk deformities remain, making patients dissatisfied with the treatment received. The purpose of this study is to identify possible shape patterns of trunk surface deformity associated with scoliosis. First, trunk surface is represented by a multivariate functional trunk shape descriptor based on 3-D clinical measurements computed on cross sections of the trunk. Then, the classical formulation of hierarchical clustering is adapted to the case of multivariate functional data and applied to a set of 236 trunk surface 3-D reconstructions. The highest internal validity is obtained when considering 11 clusters that explain up to 65% of the variance in our dataset. Our clustering result shows a concordance with the radiographic classification of spinal curves in 68% of the cases. As opposed to radiographic evaluation, the trunk descriptor is 3-D and its functional nature offers a compact and elegant description of not only the type, but also the severity and extent of the trunk surface deformity along the trunk length. In future work, new management strategies based on the resulting trunk shape patterns could be thought of in order to improve the esthetic outcome after treatment, and thus patients satisfaction.

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With an aging global population, the number of people living with a chronic illness is expected to increase significantly by 2050. If left unmanaged, chronic care leads to serious health complications, resulting in poor patient quality of life and a costly time bomb for care providers. If effectively managed, patients with chronic care tend to live a richer and more healthy life, resulting in a less costly total care solution. This chapter considers literature from the areas of technology acceptance and care self-management, which aims to alleviate symptoms and/or reason for non-acceptance of care, and thus minimise the risk of long-term complications, which in turn reduces the chance of spiralling health expenditure. By bringing together these areas, the chapter highlights areas where self-management is failing so that changes can be made in care in advance of health deterioration.