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      La Telesalud y las nuevas fronteras de la informática biomédica en el Perú Translated title: Telehealth and the new frontiers of biomedical informatics in Peru

      research-article
      Revista Peruana de Medicina Experimental y Salud Publica
      Instituto Nacional de Salud

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          Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system.

          Big data in medicine--massive quantities of health care data accumulating from patients and populations and the advanced analytics that can give those data meaning--hold the prospect of becoming an engine for the knowledge generation that is necessary to address the extensive unmet information needs of patients, clinicians, administrators, researchers, and health policy makers. This article explores the ways in which big data can be harnessed to advance prediction, performance, discovery, and comparative effectiveness research to address the complexity of patients, populations, and organizations. Incorporating big data and next-generation analytics into clinical and population health research and practice will require not only new data sources but also new thinking, training, and tools. Adequately utilized, these reservoirs of data can be a practically inexhaustible source of knowledge to fuel a learning health care system.
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            Toward interoperable bioscience data.

            To make full use of research data, the bioscience community needs to adopt technologies and reward mechanisms that support interoperability and promote the growth of an open 'data commoning' culture. Here we describe the prerequisites for data commoning and present an established and growing ecosystem of solutions using the shared 'Investigation-Study-Assay' framework to support that vision.
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              Handheld computers for self-administered sensitive data collection: A comparative study in Peru

              Background Low-cost handheld computers (PDA) potentially represent an efficient tool for collecting sensitive data in surveys. The goal of this study is to evaluate the quality of sexual behavior data collected with handheld computers in comparison with paper-based questionnaires. Methods A PDA-based program for data collection was developed using Open-Source tools. In two cross-sectional studies, we compared data concerning sexual behavior collected with paper forms to data collected with PDA-based forms in Ancon (Lima). Results The first study enrolled 200 participants (18–29 years). General agreement between data collected with paper format and handheld computers was 86%. Categorical variables agreement was between 70.5% and 98.5% (Kappa: 0.43–0.86) while numeric variables agreement was between 57.1% and 79.8% (Spearman: 0.76–0.95). Agreement and correlation were higher in those who had completed at least high school than those with less education. The second study enrolled 198 participants. Rates of responses to sensitive questions were similar between both kinds of questionnaires. However, the number of inconsistencies (p = 0.0001) and missing values (p = 0.001) were significantly higher in paper questionnaires. Conclusion This study showed the value of the use of handheld computers for collecting sensitive data, since a high level of agreement between paper and PDA responses was reached. In addition, a lower number of inconsistencies and missing values were found with the PDA-based system. This study has demonstrated that it is feasible to develop a low-cost application for handheld computers, and that PDAs are feasible alternatives for collecting field data in a developing country.
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                Author and article information

                Journal
                rins
                Revista Peruana de Medicina Experimental y Salud Publica
                Rev. perú. med. exp. salud publica
                Instituto Nacional de Salud (Lima, , Peru )
                1726-4634
                April 2015
                : 32
                : 2
                : 217-220
                Affiliations
                [02] Washington orgnameUniversity of Washington orgdiv1School of Medicine orgdiv2Department of Biomedical Informatics and Medical Education EE. UU
                [01] Lima orgnameConsejo Nacional de Ciencia, Tecnología e Innovación Tecnológica Perú
                Article
                S1726-46342015000200001 S1726-4634(15)03200200001
                0d158773-1c04-4ce9-963c-96ea405020f2

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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                Figures: 0, Tables: 0, Equations: 0, References: 32, Pages: 4
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                SciELO Peru

                Self URI: Texto completo solamente en formato PDF (ES)
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                Editorial

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