title: Automated Speech-recognition Anatomic Pathology (ASAP) reporting.
abstract: Artificial intelligence speech-recognizers integrated with Laboratory information and Telefaxcommunication Systems have allowed for totally automated surgical pathology reporting. Automated Speech-Recognition Anatomic Pathology (ASAP) reporting improves the speed, text accuracy, comprehensiveness, and workflow management of diagnostic reports while eliminating support personnel. Healthcare reform goals of increased productivity and economy are furthered. Reports are rendered "as soon as possible" (ASAP) expediting appropriate clinical management and decreased length of stay and hospital costs.
authors.affiliation: Department of Diagnostic Pathology and Laboratory Medicine Beth Israel Medical Center, New York, NY.
authors.forename: C
authors.initials: C
authors.lastname: Teplitz
authors.forename: M
authors.initials: M
authors.lastname: Cipriani
authors.forename: D
authors.initials: D
authors.lastname: Dicostanzo
authors.forename: J
authors.initials: J
authors.lastname: Sarlin
mesh_terms: D001185:Artificial Intelligence; D007256:Information Systems; D010336:Pathology / Q000295:instrumentation*; D013065:Speech Intelligibility; D014584:User-Computer Interface