Studies in health technology and informatics
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Stud Health Technol Inform · Jan 2011
Real-time "x-ray vision" for healthcare simulation: an interactive projective overlay system to enhance intubation training and other procedural training.
We have developed a prototype of a real-time, interactive projective overlay (IPO) system that creates augmented reality display of a medical procedure directly on the surface of a full-body mannequin human simulator. These images approximate the appearance of both anatomic structures and instrument activity occurring within the body. ⋯ The images are projected in correct registration onto the surface of the simulated body. As an initial practical prototype to test this technique we have developed a system permitting real-time visualization of the intra-airway position of an endotracheal tube during simulated intubation training.
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Stud Health Technol Inform · Jan 2011
Toward a simulation and assessment method for the practice of camera-guided rigid bronchoscopy.
We have developed a way to measure performance during a camera-guided rigid bronchoscopy using manikin-based simulation. In an effort to measure contact pressures within the airway during a rigid bronchoscopy, we instrumented pressure sensors in a commercially available bronchoscopy task trainer. ⋯ However, novices touched a greater number of areas than experts, showing that novices induce a higher number of unnecessary soft-tissue contact compared to experts. Moreover, our results show that experts exert significantly less soft tissue pressure compared to novices.
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Stud Health Technol Inform · Jan 2011
EU-ADR healthcare database network vs. spontaneous reporting system database: preliminary comparison of signal detection.
The EU-ADR project aims to exploit different European electronic healthcare records (EHR) databases for drug safety signal detection. In this paper we report the preliminary results concerning the comparison of signal detection between EU-ADR network and two spontaneous reporting databases, the Food and Drug Administration and World Health Organization databases. EU-ADR data sources consist of eight databases in four countries (Denmark, Italy, Netherlands, and United Kingdom) that are virtually linked through distributed data network. ⋯ The highest proportion of signals detected in SRSs was found for BE, ARF and AS, while for ARF, and UGIB in EU-ADR. In conclusion, it seems that EU-ADR longitudinal database network may complement traditional spontaneous reporting system for signal detection, especially for those adverse events that are frequent in general population and are not commonly thought to be drug-induced. The methodology for signal detection in EU-ADR is still under development and testing phase.
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Stud Health Technol Inform · Jan 2011
Multicenter StudyBattlefield tracheal intubation training using virtual simulation: a multi center operational assessment of video laryngoscope technology.
Airway management is an essential skill in providing care in trauma situations. The video laryngoscope is a tool which offers improvement in teaching airway management skills and in managing airways of trauma patients on the far forward battlefield. An Operational Assessment (OA) of videolaryngoscope technology for medical training and airway management was conducted by the Center for Advanced Technology and Telemedicine (at the University of Nebraska Medical Center, Omaha, NE) for the US Air Force Modernization Command to validate this technology in the provision of Out of OR airway management and airway management training in military simulation centers. The value for both the training and performance of intubations was highly rated and the majority of respondents indicated interest in having a video laryngoscope in their facility.
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Stud Health Technol Inform · Jan 2011
Generation of connectivity-preserving surface models of multiple sclerosis lesions.
Progression of multiple sclerosis (MS) results in brain lesions caused by white matter inflammation. MS lesions have various shapes, sizes and locations, affecting cognitive abilities of patients to different extents. ⋯ This tool allows users to create 3D models of lesions quickly and to visualize the lesions and brain tissues using various visual attributes and configurations. The software package is based on breadth-first search based 3D connected component analysis and a 3D flood-fill based region growing algorithm to generate 3D models from binary or non-binary segmented medical image stacks.