Abstract: A system and method for receiving medical or other database information and pregrouping and extending that data include a data enhancement layer configured to generate additional stored dimensions capturing the data and relevant attributes. Data sources such as hospitals, laboratories and others may therefore communicate their clinical data to a central warehousing facility which may assemble and extend the resulting aggregated data for data mining purposes. Varying source format and content may be conditioned and conformed to a consistent physical or logical structure. The source data may be extended and recombined into additional related dimensions, pre-associating meaningful attributes for faster querying and storage.

Abstract: The present invention is directed to a method and system for generating cost accounting data. The method may include retrieving information including descriptive attributes that represent content captured during patient care. The method may additionally include associating each descriptive attribute with a cost. A system may be provided for generating cost accounting information in a healthcare environment. The system may include automated information capture equipment and a retrieval component for retrieving content captured by the automated information capture equipment. The system may additionally include an association component for associating captured content with a cost and an implementation component for generating cost accounting information based on created associations.

Abstract: A system and method for receiving medical or other database information and pregrouping and extending that data include a data enhancement layer configured to generate additional stored dimensions capturing the data and relevant attributes. Data sources such as hospitals, laboratories and others may therefore communicate their clinical data to a central warehousing facility which may assemble and extend the resulting aggregated data for data mining purposes. Varying source format and content may be conditioned and conformed to a consistent physical or logical structure. The source data may be extended and recombined into additional related dimensions, pre-associating meaningful attributes for faster querying and storage. Users running analytics against the resulting medical or other datamarts may therefore access a richer set of related information as well as have their queries and other operations run more efficiently.