title: An information model for medical events.
abstract: Information gathered during the healthcare process is lost when forced into rigidly structured record-oriented databases. By contrast, content can be difficult to manipulate if stored as unstructured text. Spurred by the requirements of electronic publishing, military procurement and the Internet, new robust standards for structuring documents have been developed and deployed. These standards can provide a foundation for a document-based Electronic Medical Record System. In order to fully exploit this added flexibility, an information model is necessary to define both the direct and contextual content of documents. Once context, as well as fact, are recorded in formal structures, inferential techniques can either selectively extract knowledge and data from documents or aggregate data to create summaries so that all interested and authorized parties have a better chance of meeting their information needs from a single, permanent data source.
authors.affiliation: LAC+USC Medical Center.
authors.forename: D J
authors.initials: DJ
authors.lastname: Essin
authors.forename: T L
authors.initials: TL
authors.lastname: Lincoln
mesh_terms: D006801:Humans; D016247:Information Storage and Retrieval; D007256:Information Systems; D016347:Medical Records Systems, Computerized; D008962:Models, Theoretical