Browsing by Author "Mendes, A"
Now showing 1 - 3 of 3
Results Per Page
Sort Options
- Explicit design of transfer functions for volume-rendered images by combining histograms, thumbnails, and sketch-based interactionPublication . Lopes, D; Parreira, P; Mendes, A; Pires, V; Paulo, S; Sousa, C; Jorge, JVisual quality of volume rendering for medical imagery strongly depends on the underlying transfer function. Conventional Windows–Icons–Menus–Pointer interfaces typically refer the user to browse a lengthy catalog of predefined transfer functions or to pain-staking refine the transfer function by clicking and dragging several independent handles. To turn the standard design process less difficult and tedious, this paper proposes novel interactions on a sketch-based interface that supports the design of 1D transfer functions via touch gestures to directly control voxel opacity and easily assign colors. User can select different types of transfer function shapes including ramp function, free hand curve drawing, and slider bars similar to those of a mixing table. An assorted array of thumbnails provides an overview of the data when editing the transfer function. User performance is evaluated by comparing the time and effort necessary to complete a number of tests with sketch-based and conventional interfaces. Users were able to more rapidly explore and understand volume data using the sketch-based interface, as the number of design iterations necessary to obtain a desirable transfer function was reduced. In addition, informal evaluation sessions carried out with professionals (two senior radiologists, a general surgeon and two scientific illustrators) provided valuable feedback on how suitable the sketch-based interface is for illustration, patient communication and medical education.
- Psiquiatria comunitária na equipa da Brandoa: realidade assistencial em Dezembro de 2008Publication . Mendes, A; Morais, A; Melo, D; Bandeira, R; Gaião, S; Parente, J; Pinto, P; Maia, T; Cardoso, GO Serviço de Psiquiatria do Hospital Prof. Doutor Fernando Fonseca, EPE (HFF) foi o primeiro serviço em Portugal com base no hospital geral a desenvolver um modelo integrado de cuidados de saúde mental na comunidade, orientado para as necessidades da população e apoiado em equipas multidisciplinares. Este modelo assenta na continuidade de cuidados pela mesma equipa, no seguimento assertivo dos doentes na comunidade, na articulação com os cuidados de saúde primários e numa grande diversidade de intervenções1. A actividade do Serviço decorre a nível hospitalar e comunitário, mantendo-se uma estreita articulação entre as várias unidades que o constituem, de forma a garantir a indispensável continuidade de cuidados. A nível comunitário, as Equipas da Amadora, Brandoa, Damaia e Queluz constituem a Unidade Funcional Comunitária e estão sediadas nos Centros de Saúde da área onde desenvolvem a sua actividade. O presente trabalho tem como objectivos caracterizar a população activa seguida pela Equipa Comunitária da Brandoa em Dezembro de 2008, em termos socio-demográficos e clínicos e a partir dos dados obtidos, fazer uma breve reflexão no sentido de questionar a actividade desenvolvida e melhorar as práticas assistenciais no futuro.
- The Portuguese Severe Asthma Registry: Development, Features, and Data Sharing PoliciesPublication . Sá-Sousa A1, A; Fonseca, JA; Pereira, AM; Ferreira, A; Arrobas, A; Mendes, A; Drummond, M; Videira, W; Costa, T; Farinha, P; Soares, J; Rocha, P; Todo-Bom, A; Sokolova, A; Costa, A; Fernandes, B; Loureiro, C; Longo, C; Pardal, C; Costa, C, et al.The Portuguese Severe Asthma Registry (Registo de Asma Grave Portugal, RAG) was developed by an open collaborative network of asthma specialists. RAG collects data from adults and pediatric severe asthma patients that despite treatment optimization and adequate management of comorbidities require step 4/5 treatment according to GINA recommendations. In this paper, we describe the development and implementation of RAG, its features, and data sharing policies. The contents and structure of RAG were defined in a multistep consensus process. A pilot version was pretested and iteratively improved. The selection of data elements for RAG considered other severe asthma registries, aiming at characterizing the patient's clinical status whilst avoiding overloading the standard workflow of the clinical appointment. Features of RAG include automatic assessment of eligibility, easy data input, and exportable data in natural language that can be pasted directly in patients' electronic health record and security features to enable data sharing (among researchers and with other international databases) without compromising patients' confidentiality. RAG is a national web-based disease registry of severe asthma patients, available at asmagrave.pt. It allows prospective clinical data collection, promotes standardized care and collaborative clinical research, and may contribute to inform evidence-based healthcare policies for severe asthma.