Análise de envoltória de dados (DEA) para avaliação de hospitais universitários de médio porte

• Ano de defesa: 2015
• Autor(a) principal: Miranda, Edher de Souza Ferreira de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado Profissional em Gestão Pública; Centro de Ciências Jurídicas e Econômicas; UFES; Programa de Pós-Graduação em Gestão Pública
• Palavras-chave em Português: University hospital,; Data envelopment analysis – DEA; Efficiency; Bureaucracy; Hospital universitário; Análise de envoltória de dados - DEA; Eficiência; Burocracia; Hospitais universitários; Análise envoltória de dados; Eficiência organizacional; Administração Pública; 35
• Link de acesso: http://repositorio.ufes.br/handle/10/8730

This research aims to assess the technical and financial efficiency of Federal University Hospitals, as its ability to transform the inputs received in delivery of health services to the population, in 2010 interstitial to 2013, using data envelopment analysis methodology -. DEA (Data Envelopment Analysis) in order to support the manager's decisions in view of the principle of described efficiency in Article 37, caput of the Constitution of the country at work we used the original models (CCR Charnes, Cooper and Rhodes) and BCC (Banker, Charnes and Cooper), the data processing was developed by linear programming using the SIAD software - Integrated Decision Support, developed by the Universidade Federal Fluminense - UFF free access to academic use, to identify the DMUs (Decision Making Units) that are on the efficient frontier. The breakdown process of the nine inputs and nine outputs searched possible to work with four empirical models, and scenes summary of a larger number of units of HU's reached the production border. It is emphasized that the fact that a hospital has relative productivity 100% its optimal performance is only valid in the universe analyzed. In short, the data envelopment analysis DEA demonstrated efficiency in the research object to compare homogeneous units and establish efficiency standards for the Federal University Hospitals