title: Assessing the behavioral impact of a diagnostic decision support system.
abstract: This paper describes a prototype for research to evaluate the impact of diagnostic decision support systems on the behavior of physicians. Several indices that can be used to quantify the magnitude of impact are proposed. A large medical diagnostic knowledge base in internal medicine (the Iliad knowledge base) was used in this evaluation. The impact on behavior when different inference models are run against this knowledge base is evaluated for two different case domains and physician's specialties.
authors.affiliation: Taipei Medical College.
authors.forename: Y C
authors.initials: YC
authors.lastname: Li
authors.forename: P J
authors.initials: PJ
authors.lastname: Haug
authors.forename: M J
authors.initials: MJ
authors.lastname: Lincoln
authors.forename: C W
authors.initials: CW
authors.lastname: Turner
authors.forename: T A
authors.initials: TA
authors.lastname: Pryor
authors.forename: H H
authors.initials: HH
authors.lastname: Warner
mesh_terms: D000704:Analysis of Variance; D001185:Artificial Intelligence; D001499:Bayes Theorem; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D005069:Evaluation Studies as Topic; D005103:Expert Systems; D006801:Humans; D007388:Internal Medicine; D016571:Neural Networks, Computer; D010820:Physicians