32 resultados para Matching patient to digital phantoms


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Con la llegada de la era de la información, viendo esta era como la necesidad de informatizar, registrar y tratar una gran cantidad de datos mediante la tecnología, se está dando el paso de diversos procesos burocráticos a medios tecnológicos cambiando el papel por los datos almacenados en las computadoras. El DNI electrónico permite a un individuo identificarse mediante un dispositivo donde se almacenan los datos de éste para poder identificarse unívocamente ante aquellos trámites que antaño costaban largos procesos burocráticos en papel. Sabemos que las aplicaciones software son aquellos módulos formado por un conjunto de programas y rutinas que permiten a los diferentes tipos de computadores realizar tareas de manera parcial o totalmente automáticas. Por ello este proyecto demuestra todo el proceso de creación de un módulo software, que cómo comentamos en el primer párrafo, permitiría sobrellevar otros tantos procesos burocráticos como sería la petición del DNI y posterior escritura a mano en distintas situaciones. Todo ello orientado desde un estricto análisis desde el punto de vista de la ingeniería del software. ABSTRACT Due to the fact that we’re in the era of information technology, and from the perspective that this era means to computerize register and treat a big quantity of data through technologic means, we are stepping into a process where all the bureaucracy is being transferred from paper to digital storage models. Hence, the electronic DNI allows the citizen to identify himself univocally against processes that back in time where made through tedious and heavy-paper-work processes. We know that software apps are modules conformed by a set of instructions and programs that make possible the execution of partially or totally automated tasks. That’s why this project shows the process of the creation of a software module (app) that, as we stated before, would allow overcoming many other bureaucratic processes like the request to write down the national identification number. All of it focused to a strict analysis from software engineering’s point of view.

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To support the efficient execution of post-genomic multi-centric clinical trials in breast cancer we propose a solution that streamlines the assessment of the eligibility of patients for available trials. The assessment of the eligibility of a patient for a trial requires evaluating whether each eligibility criterion is satisfied and is often a time consuming and manual task. The main focus in the literature has been on proposing different methods for modelling and formalizing the eligibility criteria. However the current adoption of these approaches in clinical care is limited. Less effort has been dedicated to the automatic matching of criteria to the patient data managed in clinical care. We address both aspects and propose a scalable, efficient and pragmatic patient screening solution enabling automatic evaluation of eligibility of patients for a relevant set of trials. This covers the flexible formalization of criteria and of other relevant trial metadata and the efficient management of these representations.