title: An object-relational model for structured representation of medical knowledge.
abstract: Domain specific knowledge is often not static but continuously evolving. This is especially true for the medical domain. Furthermore, the lack of standardized structures for presenting knowledge makes it difficult or often impossible to assess new knowledge in the context of existing knowledge. Possibilities to compare knowledge easily and directly are often not given. It is therefore of utmost importance to create a model that allows for comparability, consistency and quality assurance of medical knowledge in specific work situations. For this purpose, we have designed on object-relational model based on structured knowledge elements that are dynamically reusable by different multi-media-based tools for case-based documentation, disease course simulation, and decision support. With this model, high-level components, such as patient case reports or simulations of the course of a disease, and low-level components (e.g., diagnoses, symptoms or treatments) as well as the relationships between these components are modeled. The resulting schema has been implemented in AMOS II, on object-relational multi-database system supporting different views with regard to search and analysis depending on different work situations.
authors.affiliation: Center for eHealth, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden. sabine.koch@ehealth.uu.se
authors.forename: S
authors.initials: S
authors.lastname: Koch
authors.forename: T
authors.initials: T
authors.lastname: Risch
authors.forename: W
authors.initials: W
authors.lastname: Schneider
authors.forename: I V
authors.initials: IV
authors.lastname: Wagner
mesh_terms: D019992:Databases as Topic; D004194:Disease; D004282:Documentation; D006801:Humans; D033181:Information Dissemination; D016247:Information Storage and Retrieval; D051188:Knowledge Bases; D008490:Medical Informatics; D008499:Medical Records; D011336:Probability; D011785:Quality Assurance, Health Care; D013997:Time Factors