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Automated Speech-recognition Anatomic Pathology (ASAP) reporting.

作者信息

Teplitz C, Cipriani M, Dicostanzo D, Sarlin J

机构信息

Department of Diagnostic Pathology and Laboratory Medicine Beth Israel Medical Center, New York, NY.

出版信息

Semin Diagn Pathol. 1994 Nov;11(4):245-52.

PMID:7878299
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.

摘要

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