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    Revolução tecnológica, inovação e seu impacto em pesquisa científica e saúde
    (Universidade Federal de São Paulo (UNIFESP), 2014-12-31) Capobianco, Dirce Maria [UNIFESP]; Prado, Gilmar Fernandes Do Prado [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)
    Introduction: we live in a Technological World, with exponential growth of information, population, life expectancy, and also chronic diseases. The Scientific Research and Health System must be adapted to the world changes/trends, learning to use giant databases, new technologies, new tools to streamline research and new systems of information, storage and use of data. General Objective: to describe the global context on Technology, Health (emphasis in Chronic Diseases) and Scientific Research, to generate future hypotheses/actions of intersection between these three areas (Technological Innovation, Health Care and Research Processes). Specific objectives were to analyze: 1). surgical treatment of Obstructive Sleep Apnea Syndrome (OSAS), on an American database; 2). the evolution of scientific research in bariatric surgery, as chronic disease model, and its popular perception; 3). the effective participation of researchers in data availability through publications of the New England Journal of Medicine (NEJM). Method: To address these goals, we held: Article 1 - the association between surgeon/hospital volume with the treatment outcomes of obstructive sleep apnea (OSA), a representative sample of the American Population. Article 2 - which used the technology of Text Mining (algorithm developed) for extraction of information from the PubMed database. Article 3 - the availability of scientific data in studies of NEJM, funded by the National Institutes of Health (NIH) since 2003, when the policy of data sharing emerged. Results: description of the global context of the aforementioned areas and the following results: Article 1. Validations of the hypothesis that surgeons and hospitals with lower volumes of patients have: higher mortality rates, longer hospital stays, higher rates of complications and higher hospital costs.Article 2. It demonstrates that: 2A). all types of classified study design have shown prevalence increase over the years; 2B). the prevalence of terms representing the Risk Factors of Chronic Diseases within PubMed database has increased over the years; 2C). searches of these terms, done by the general population through Google, declined over time. Article 3. It demonstrates low percentage (4.3%) of data availability, low adherence of the authors to the data sharing policy and, as a consequence, low reproducibility of research. Conclusion: Innovation is a reality of today's world and should be used for the benefit of Scientific Research and the Health Care. Text Mining Techniques, as exemplified in Article 2, are able to translate large amounts of scientific data into knowledge. In our study, despite the great advances of science in Bariatric Surgery, we have found that the popular perception of the risk factors for chronic diseases may be less than expected, raising an important alert about maximizing social value promoted by Science. Furthermore, we have identified in our sample (Article 3), low adherence to data sharing policy and low reproducibility of research. Added to this, we have raised the question of how the experience of a surgeon, and the hospital structure, may impact the results of their treatment (surgery for OSA, Article 1), a factor that may also alerts us about policy changes needed to improve the quality of Health Care.