@InProceedings{ReyFrei:2021:InViSu,
               author = "Rey, Marina Fortes and Freitas, Carla Maria Dal Sasso",
          affiliation = "{Universidade Federal do Rio Grande do Sul } and {Universidade 
                         Federal do Rio Grande do Sul}",
                title = "Interactive Visualizations to Support Randomized Clinical Trial 
                         Monitoring",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "IEEE Computer Society",
              address = "Los Alamitos",
             keywords = "Information visualization, clinical trial monitoring, design 
                         study.",
             abstract = "Despite current technological advances, interactive tools to 
                         facilitate the analysis of data collected during clinical trials 
                         are still not widely available. Such a scenario makes researchers 
                         rely on time-consuming extractions from databases and subsequent 
                         application of analytical methods by statisticians to obtain 
                         results from which they can get insights. Moreover, during 
                         clinical trials, researchers need to keep track of subjects 
                         progress by monitoring their participation and the quality of the 
                         data collected at specific phases of the trial. We have developed 
                         a visualization-based interface that assists the epidemiologists 
                         of a randomized clinical trial focused on the effects of lifestyle 
                         intervention in developing type 2 diabetes for patients with 
                         Gestational Diabetes Mellitus (GDM). Coaches are responsible for 
                         the intervention, and research assistants collect data from 
                         hundreds of questionnaires and clinical exams. We adopted user- 
                         centered design principles, which allowed continuous improve- 
                         ments to the visualizations and interactive features during a 
                         year- long development process. Besides typical selection and 
                         filtering features, the visualizations we have designed allow the 
                         research team to monitor each participants progress and perform 
                         analyses that facilitate findings in and between subjects 
                         histories. Two formal evaluations were also performed with experts 
                         and non- experts, where the visualization-based interface proved 
                         to be intuitive and useful for assisting coaching activities, 
                         monitoring the progress of data collection, and performing 
                         analyses.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
                  doi = "10.1109/SIBGRAPI54419.2021.00028",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI54419.2021.00028",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45C96Q2",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45C96Q2",
           targetfile = "
                         
                         56-Interactive_Visualizations_to_Support_Randomized_Clinical_Trial_Monitoring.pdf",
        urlaccessdate = "2024, May 06"
}