title: Feasibility of an intelligent tutoring system for laboratory medicine.
abstract: Laboratory medicine is not adequately addressed in most medical school curricula. A review of the literature was performed to evaluate the feasibility of an intelligent tutoring system to enhance laboratory medicine training. This appraisal suggests that such a system must integrate basic science and clinical training. A system equipped with a clinical knowledgebase, in the form of an expert system, and a pathophysiology knowledgebase, in the form of multiple semantic networks, could provide such integration.
authors.affiliation: Decision Systems Group, Brigham &Women's Hospital, Boston, MA, USA.
authors.forename: Michael David
authors.initials: MD
authors.lastname: Blechner
authors.forename: Margarita
authors.initials: M
authors.lastname: Sordo
mesh_terms: D001185:Artificial Intelligence; D019411:Clinical Laboratory Techniques; D003194:Computer-Assisted Instruction; D004504:Education, Medical, Undergraduate / Q000379:methods*; D005240:Feasibility Studies; D006801:Humans