| Literature DB >> 7878299 |
C Teplitz1, M Cipriani, D Dicostanzo, J Sarlin.
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.Mesh：
Year: 1994 PMID： 7878299
Source DB: PubMed Journal: Semin Diagn Pathol ISSN： 0740-2570 Impact factor: 3.464