40 resultados para Informatics technology

em Scielo Saúde Pública - SP


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Abstract OBJECTIVE To identify informatics abilities essential to decision making in nursing management. METHOD Survey study with specialist nurses in health informatics and management. An electronic questionnaire was built based on the competencies Information Literacy (five categories; 40 abilities) and Information Management (nine categories; 69 abilities) of the TIGER - Technology Informatics Guiding Education Reform - initiative, with the guiding question: Which informatics abilities are essential to decision making in management? Answers were sorted in a Likert scale, ranging from 1 to 5. Rasch analysis was conducted with the software WINSTEPS ®. Results were presented in logits, with cutoff value zero. RESULTS Thirty-two specialists participated, coming from all regions of Brazil. In the information literacy competency, 18 abilities were considered essential and in Information Management, 38; these were sorted according to their degree of essentiality. CONCLUSION It is believed that the incorporation of these abilities in teaching can support the education of nurse managers and contribute to evidence-based practice, incorporation of information and communication technologies in health and information management.

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Existing studies on global sourcing strategy have implicitly adopted a cJosed-systems perspective in which sourcing activities are managed within a multinational company across national boundaries. Produd and process innovations and components procurement that are jointly managed by a consortium of cooperating firms have not been examined. In this paper, we empiricallyexamine the issues concerning sourcing partnerships in an open-systems perspective. Findings suggest that even in a sourcing partnership arrangement with a foreign supplier, the principal firm's ability to procure and control the supply of major components has a positive bearing on its market performance.

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The use of Mobile and Wireless Information Technologies (MWIT) for provisioning public services by a government is a relatively recent phenomenon. This paper evaluates the results of MWIT adoption by IBGE (The Brazilian Institute of Geography and Statistics) through a case study. In 2007, IBGE applied 82,000 mobile devices (PDAs) for data gathering in a census operation in Brazil. A set of challenges for a large scale application of MWIT required intensive work involving innovative working practices and service goals. The case reveals a set of outputs of this process, such as time and cost reductions in service provision, improved information quality, staff training and increased organizational effectiveness and agility.

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ABSTRACTThis paper analyzes the changes in the total factor productivity index of a Spanish hotel chain in the period from 2007 to 2010 with the purpose of identifying efficiency patterns for the chain in a period of financial crisis. The data envelopment analysis (DEA) Malmquist productivity index was used to estimate productivity change in 38 hotels of the AC chain. Results reveal AC hotels' efficiency trends and, therefore, their competitiveness in the recession period; they also show the changes experienced in these hotels' total productivity and its components: technological and efficiency changes. Positive efficiency changes were due to positive technical efficiency rather than technological efficiency. The recession period certainly influenced the performance of AC Hotels, which focused on organizational changes rather than investing in technology.

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INTRODUCTION : The aim of this study was to report the experience of an epidemiological field survey for which data were collected and analyzed using tablets. METHODS : The devices used Epi Info 7 (Android version), which has been modeled a database with variables of the traditional form. RESULTS : Twenty-one households were randomly selected in the study area; 75 residents were registered and completed household interviews with socioeconomic and environmental risk variables. CONCLUSIONS : This new technology is a valuable tool for collecting and analyzing data from the field, with advantageous benefits to epidemiological surveys.