[Medically relevant data display].
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Outlines four interconnecting factors which are essential to motivating staff: an understanding of the "psychology of excellence in teams"; establishing cross-functional quality improvement teams; understanding and reviewing processes of care and service; and the use of data display.
A simple data processing technique for qualitative assessment of esophageal transit is presented and its clinical value is demonstrated.
Computerized patient records have long offered the promise of facilitated access to patient data for clinical decision-making. Nonetheless, the decision process benefits of improved patient data access have been poorly quantified by prior informatics research. We conducted a pilot study to test the feasibility of study methods and gather data for the planning of a future clinical trial designed to assess the impact of patient data summary displays on serum lipid test interpretation time, on targeted data retrieval time for related data, and on decision quality. The pilot demonstrated feasibility and high face validity of the decision-making simulation methods used. Problem-focused patient data summaries appear to reduce time-based decision performance measures by 40-50%, and may improve decision quality even without the inclusion of knowledge-based recommendations or guideline representations.
This paper is based on 4 years of practical experience with a developmental pre- Digital Imaging and Communications in Medicine (DICOM) picture archiving and communication system (PACS) plus analysis from the respecification study data for a DICOM/HTML PACS replacement. High-performance, but economic, workstations are required within PACS for radiologists to rapidly and accurately report images. For economic reasons such workstations should utilise standard landscape orientation monitors. They must have full Radiology Information System (RIS) integrated reporting functionality to optimise radiologists' work. The workstations must also be capable of displaying request data and both new and associated old images and image reports from multiple modalities. All images should be imported as "folders" according to semi-intelligent "knowledge table" based DICOM 3.0 standard Worklist control exerted by image management servers. This information can be obtained by relevant image lists and decision charts. A description of an optimal standard monitor workstation environment and related issues based on experience and literature review is given.
AIMS: This study examined the occurrence, magnitude, and the consequences of a possible tilt between the corneal surface and optical axis of the EyeSys videokeratoscope. METHODS: Initially, a theoretical model was developed to calculate the angle of tilt. The predictions of the model were verified empirically using a convex conicoid surface and were found to predict the tilt to within 0.5 degree of the actual tilt. The likely effects of the tilt on the corneal power were also examined. The angle of tilt was then measured on the human cornea and the effect of neutralising the tilt on the videokeratoscopic data display was observed. RESULTS: The angle of tilt was found to lie between 1 degree and 6 degrees in a temporal direction. CONCLUSION: When the corneal tilt on the human subjects was neutralised, then a reduction in the nasal/temporal asymmetry was observed.
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Gene expression analysis by differential display (DD) is limited by the labor-intensive visual evaluation of the electrophoretic data traces. We describe a flexible method for computer-assisted ranking of expression patterns in data from DD experiments. The method is based on a pairwise alignment and comparison of the quantitative trace data with respect to specific expression patterns defined by the investigator. The observed patterns are ranked according to a score value that identifies the most potential findings to be confirmed visually instead of the vast amount of original results. This two-step approach, enabled by the efficient computer algorithm for gene expression pattern comparison, will increase the percentage of true-positive findings chosen for the tedious downstream processing, while minimizing the cost and labor involved in large scale DD data analysis.
Analysis of EEG frequency spectra leads in two fields to problems demanding optimal data reduction methods: especially if topological aspects have to be considered, it is likely that the rather limited memory capacity of laboratory computer systems will be exceeded; furthermore severe methodological problems arise in statistical analysis of combined data sets, including frequency spectra, other physiological, and non-physiological data. Three data reduction methods are discussed: the classification with respect to frequency bands, the search for prominent frequencies, and the computation of quartiles of the frequency spectra. There is some evidence in favour of the method of prominent frequencies. This method seems to preserve much of the differential information of the frequency spectra.
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16 experienced ICU nurses monitored simulated central station VDU displays for the occurrence of ectopic beats and for signs of deterioration in general cardiovascular status. Each period of monitoring lasted for 1 h, and on separate occasions each nurse monitored 1, 2, 4 or 6 displays simultaneously. For primary clinical tasks, the data showed that the nurses' performance improved with each test. The identification of ventricular ectopic beats (VEBs) improved within the 1 h of each test except when 6 screens were being viewed simultaneously, with a similar result for the identification of deterioration of cardiovascular status. The nurses showed a marked preference for analogue signals over digits for the identification of VEBs. The highest priority clinical task was the identification of deteriorating cardiovascular status. When this task was performed efficiently less attention was given to minor tasks, and the nurse rated herself as very tired.
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