Navegando por Palavras-chave "normas"

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    Brazilian standardised norms for a set of pictures are comparable with those obtained internationally
    (Academia Brasileira de Neurologia - ABNEURO, 2003-12-01) Pompéia, Sabine [UNIFESP]; Miranda, Mônica Carolina [UNIFESP]; Bueno, Orlando Francisco Amodeo [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)
    Snodgrass & Vanderwart (1980) standardized a set of 260 pictures in the USA for use in studies of cognitive processes that employ pictured objects as laboratory analogues of object themselves. Since then similar norms for this set were obtained in Britain, Spain, Japan and Iceland and a larger set of 400 pictures (including the original 260: Cycowicz et al., 1997) was studied in France and Brazil. The present article provides a comparison of the norms obtained in Brazil and internationally. The pattern of correlations among the Brazilian and other standardizations were equivalent to that previously observed: despite pictures being judged to be of similar familiarity and visual complexity (high positive correlations), name agreement was less correlated, possibly due to differences in the languages spoken in each country and/or in the sample size used in each study. Results confirm the adequacy of the Brazilian norms.
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    Modelo de avaliação de maturidade de sistemas de informação em saúde baseada em representação conceitual de requisitos de segurança da informação
    (Universidade Federal de São Paulo (UNIFESP), 2016-05-04) Carvalho Junior, Marcelo Antonio de [UNIFESP]; Faltin, Cristina Lucia Feijo Ortolani Faltin [UNIFESP]; Universidade Federal de São Paulo (UNIFESP)
    Introduction: The task to score or evaluate a Health Information System (HIS) is com-plex and lays mostly on comparisons. Reference elements used for system evaluation during auditing or tests includes standards, requirement list and other documents that are technical in general. A system under evaluation must therefore meet or exceed reference elements characteristics after careful assessment to be consider equivalent. The limitation of this traditional evaluation method is related to the highly specialized manpower needed to scrutinize all system against reference. Objective: Investigate health information system (HIS) standards content and its outer relationships thru ref-erences. Gather expert scored HIS requirements for evolutional analysis model con-struction providing for a simplified system comparison. Methods: Five main phases and specific tasks were perform to accomplish the outlined objectives. We start identi-fying candidate standards for our reference model assessing standardization entities production based on HIS developers? citation. In a second phase, we assessed a group of 36 HIS? national and international most cited standards to manually identify refer-ence relationships declared within its content. Using automated text analysis (summa-rization and Vector Space Model construction, clusterization, Jaccard, Cosine e Sim-hash similarity comparison), we have build a database containing representative terms and correlations from this collection. On third phase, this database content was use on a web survey tool specially constructed to collect expert map-based scored terms that individually represents five levels of system features maturity stored as a concept-map (CM) linked-term graphical format. During presence sessions at final step from this phase, the experts were prompt to translate the resulting 1-5 CMs to equivalent phrases that describes easily assessable system behaviors and hence consumed by regular people. At the fourth and fifth phases, a web-tool prototype implementing all the acquired CM references and standards meta-data was propose as model usage suggestion. Results: The method execution resulted a table containing the repre-sentative terms of most used standards documents in Brazil. The obtained 1-5 CM graphs were implemented in a usable tool for system evaluation, published at http://tel-emedicina2.unifesp.br/valorarequisitos. Usability evaluation of this tool resulted 72,3 on SUS score. Text analysis allowed for content superposition and document depend-ency discovery. The documents similarity average found was 5% and maximum 89%. The documents outer connection count found was 440. The documents interconnec-tion density is 0,6%, although describing same topic, they are not mutually referencing each other. Thru average-path and Betweeness-Centrality assessment the most influ-ential documents in the studied collection was found. The highest individual standard document-to-CM Jaccard similarity comparison was 11%. Conclusion: Content su-perposition was found on all documents used for HIS requirements support via simi-larity assessment. Using this texts as a restricted vocabulary during expert maturity reference extraction in CM format allowed document-mapping to the reference. By us-ing one of these documents for system construction, we can hence estimate the CM coverage and respective maturity- classification level. According to this criteria, no sin-gle document described all CM existing features. Hence, multiple documents from our collection should be used for system development guidance in order to achieve maxi-mum maturity coverage. The system comparison model was successfully implemented in a prototype tool. Performed tests revealed good usability score for tool usage.