title: Decision support systems from the standpoint of knowledge representation.
abstract: Relationships between decision-support systems and knowledge representation are examined from three different points of view: the characteristics of medical decisions that might influence the selection of appropriate knowledge representations,--the extent to which different knowledge representations can support efficient medical decisions and,--the validation of knowledge hypotheses through the practice of decision support systems. A three-level model of knowledge representation is proposed that includes a contextual, a conceptual and a computational level. Taking into consideration the context that leads to the selection of a given representation raises the issue of multiexpertise and multirepresentation modeling. Implementation of decision support systems as sets of cooperative agents and integration in the health information systems are considered.
authors.affiliation: Broussais University Hospital, Medical Informatics Department, Paris, France.
authors.forename: P
authors.initials: P
authors.lastname: Degoulet
authors.forename: M
authors.initials: M
authors.lastname: Fieschi
authors.forename: G
authors.initials: G
authors.lastname: Chatellier
mesh_terms: D001185:Artificial Intelligence; D003071:Cognition; D003657:Decision Making; D003661:Decision Support Techniques; D003933:Diagnosis; D006801:Humans; D008962:Models, Theoretical