Um modelo de software colaborativo com suporte à troca de informações entre equipes médicas plantonistas
Abstract
The use of applications that standardize information for emergency environments is one of the main tools for managing health teams in this new century. Ubiquitous computing and multilevel task management are important elements for the exchange of these teams, in which the physician can insert and view patient’s medical record data in a way that optimizes their work in a high-stress environment. More specifically, the application can correlate data from heterogeneous sources to attain healthcare success, fostering a wide collaboration network. This article proposes the development of a collaborative model, named Doctor Collab, to support the exchange of information among on duty health personnel using task management and situation aware. The model aims at using computing resources-based activity and ubiquitous computing to improve the management of relevant data in the application, as well as the use of Bayesian networks for medical inferences. The evaluation of the Doctor Collab was made using usage scenarios.
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