RESUMO
Effective analysis of health care information is a central component in formulating strategies for improvement initiatives. These initiatives involve the analysis of episodes of care, quality measure comparisons, resource utilization, and investigation of temporal relationships between various factors and outcomes. The ability to efficiently recognize the principal patterns and their variations presents special challenges. This paper describes the design issues and application of the Interactive Visual-Exploratory Data Analysis (IV/EDA) system. IV/EDA is a graphical approach to exploratory analysis of health care information designed to rapidly find and communicate relationships essential to formulating and evaluating strategies that address health care improvement.
Assuntos
Gráficos por Computador , Sistemas de Gerenciamento de Base de Dados , Computação Matemática , Estudos de Avaliação como Assunto , Sistemas de InformaçãoRESUMO
Analyzing raw data can be prohibitively time consuming. A variety of graphical techniques have been developed to address this problem. Although graphical analysis can provide a simple yet comprehensive overview of a large dataset, often these techniques fail to capture the essence of data trends. In addition, the ability to easily query any component of the data subset frequently remains burdensome. In this paper, we present a general method to address these issues for cross-tabulation tables and provide examples of their use in medical research.
