Journal of the American Medical Informatics Association : JAMIA
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J Am Med Inform Assoc · Jul 2013
Predicting complications of percutaneous coronary intervention using a novel support vector method.
To explore the feasibility of a novel approach using an augmented one-class learning algorithm to model in-laboratory complications of percutaneous coronary intervention (PCI). ⋯ The OP-SVM algorithm based on an augmented one-class learning problem improved discrimination and calibration across different PCI complications relative to LR and traditional support vector machine classification. Such an approach may have value in a broader range of clinical domains.
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J Am Med Inform Assoc · Jun 2013
Hand-gesture-based sterile interface for the operating room using contextual cues for the navigation of radiological images.
This paper presents a method to improve the navigation and manipulation of radiological images through a sterile hand gesture recognition interface based on attentional contextual cues. Computer vision algorithms were developed to extract intention and attention cues from the surgeon's behavior and combine them with sensory data from a commodity depth camera. ⋯ An image navigation and manipulation task was performed, and the gesture recognition accuracy, false positives and task completion times were computed to evaluate system performance. Experimental results show that gesture interaction and surgeon behavior analysis can be used to accurately navigate, manipulate and access MRI images, and therefore this modality could replace the use of keyboard and mice-based interfaces.
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J Am Med Inform Assoc · Jun 2013
GuidelineEnhancing patient safety and quality of care by improving the usability of electronic health record systems: recommendations from AMIA.
In response to mounting evidence that use of electronic medical record systems may cause unintended consequences, and even patient harm, the AMIA Board of Directors convened a Task Force on Usability to examine evidence from the literature and make recommendations. This task force was composed of representatives from both academic settings and vendors of electronic health record (EHR) systems. After a careful review of the literature and of vendor experiences with EHR design and implementation, the task force developed 10 recommendations in four areas: (1) human factors health information technology (IT) research, (2) health IT policy, (3) industry recommendations, and (4) recommendations for the clinician end-user of EHR software. These AMIA recommendations are intended to stimulate informed debate, provide a plan to increase understanding of the impact of usability on the effective use of health IT, and lead to safer and higher quality care with the adoption of useful and usable EHR systems.
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J Am Med Inform Assoc · Jun 2013
Development of a 5 year life expectancy index in older adults using predictive mining of electronic health record data.
Incorporating accurate life expectancy predictions into clinical decision making could improve quality and decrease costs, but few providers do this. We sought to use predictive data mining and high dimensional analytics of electronic health record (EHR) data to develop a highly accurate and clinically actionable 5 year life expectancy index. ⋯ The EHR based index successfully distinguished adults ≥50 years old with life expectancy >5 years from those with life expectancy ≤5 years. This information could be used clinically to optimize preventive service use (eg, cancer screening in the elderly).
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J Am Med Inform Assoc · Jun 2013
Quality improvement in preoperative assessment by implementation of an electronic decision support tool.
To evaluate the impact of the electronic decision support (eDS) tool 'PReOPerative evaluation' (PROP) on guideline adherence in preoperative assessment in statutory health care in Salzburg, Austria. ⋯ PROP reduced the number of unnecessary tests/patient by 2.79 which implied a reduction of patients' burden, and a relevant cut in unnecessary costs. However, the advantage in specificity caused an increase in the number of patients incorrectly not tested. Further research is required regarding the impact of PROP on perioperative outcomes.