This article presents an experience carried out in a Uruguayan health institution to evaluate and adapt the quality of its patient data to the national requirements for integration into the National Electronic Medical Record. First, the international and national context is presented with respect to the standards and methods applied for health information. Then the process followed by the institution is described, from the initial analysis of the situation of its data to the final results of the evaluation and perspectives of an action plan to improve the quality of its data.

Many researchers have presented the need to incorporate and maintain data quality in Data Warehousing Systems. However, there is no consensus in the research community on how to do it. On the other hand, data loaded into the Data Warehouse come from different sources with different levels of quality. Analysis domains of these data can vary and users can perceive the quality in different ways, depending on their profile, the task to be performed, etc. Data quality depends on multiple factors: the sources, the task to be performed with the data, user preferences, etc. Hence, data quality depends on the context in which these data will be used. For this reason, we present a proposal to assess data quality in Data Warehousing Systems with an approach based on Contexts.

The process of building Data Warehouses (DW) is well known with well defined stages but at the same time, mostly carried out manually by IT people in conjunction with business people. Web Warehouses (WW) are DW whose data sources are taken from the web. We define a flexible WW, which can be configured accordingly to different domains, through the selection of the web sources and the definition of data processing characteristics. A Business Process Management (BPM) System allows modeling and executing Business Processes (BPs) providing support for the automation of processes. To support the process of building flexible WW we propose a two BPs level: a configuration process to support the selection of web sources and the definition of schemas and mappings, and a feeding process which takes the defined configuration and loads the data into the WW. In this paper we present a proof of concept of both processes, with focus on the configuration process and the defined data.