Browsing by Author "Miranda, Jaime"

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    Stroke care and collaborative academic research in Latin America
    (2022) Muñoz, Paula; González, Francisca; Urrutia, Francisca; Mazzon, Enrico; Navia, Víctor; Brunser, Alejandro; Lavados, Pablo; Olavarría, Verónica; Almeida, Juan; Guerrero, Rodrigo; Rojo, Alexis; Gigoux, Juan; Vallejos, José; Conejan, Nathalie; Esparza, Tomas; Escobar, Arturo; Soto, Álvaro; Pontes, Octavio; Arauz, Antonio; Abanto, Carlos; Carce, Cheryl; Zafra, Jessica; Liu, Hueiming; Song, Lili; Miranda, Jaime; Anderson, Craig
    Objective: A narrative overview of regional academic research collaborations to address the increasing burden and gaps in care for patients at risk of, and who suffer from, stroke in Latin America (LA). Materials and methods: A summary of experiences and knowledge of the local situation is presented. No systematic literature review was performed. Results: The rapidly increasing burden of stroke poses immense challenges in LA, where prevention and manage-ment strategies are highly uneven and inadequate. Clinical research is increasing through various academic consortia and networks formed to overcome structural, funding and skill barriers. However, strengthening the ability to generate, analyze and interpret randomized evidence is central to further develop effective therapies and healthcare systems in LA. Conclusions: Regional networks foster the conduct of multicenter studies -particularly randomized controlled trials-, even in resource-poor regions. They also contribute to the external validity of international studies and strengthen systems of care, clinical skills, critical thinking, and international knowledge exchange.
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    udpSkeduler: A web architecture based decision support system for course and classroom scheduling
    (2012) Miranda, Jaime; Rey, Pablo; Robles, José
    A key process for post-secondary educational institutions is the definition of course timetables and classroom assignments. Manual scheduling methods require enormous amounts of time and resources to deliver results of questionable quality, and multiple course and classroom conflicts usually occur. This article presents a scheduling system implemented in a Web environment. This system generates optimal schedules via an integer-programming model. Among its functionalities, this system enables direct interaction with instructors in order to gather data on their time availability for teaching courses. The results demonstrate that significant improvements over the typical fully manual process were obtained. (C) 2011 Elsevier B.V. All rights reserved.

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