Technology | November 13, 2008

GE Launches Radiology Diagnostic Reporting Solution with Speech Recognition

November 13, 2008 - GE Healthcare introduced today Centricity Precision Reporting, a solution that integrates workflow with a speech-understanding engine to capture patient data throughout the radiology reporting process and enable evidence-based radiology workflow.

Embedded in Centricity RIS-IC, Precision Reporting uses speech technology to better understand the natural flow of language for more accurate speech recognition without extensive training or workflow changes.

At the heart of Precision Reporting is the Advanced Speech Understanding technology developed by M*Modal, a GE Healthcare partner. According to the manufacturer, the system is designed to learn from experience. The more it is used, the more accurate it becomes. Precision Reporting is available in Centricity RIS-IC Version 10.6 and since the solution is embedded, it eliminates the need for maintenance and monitoring of costly and error-prone computer interfaces. The result is one workflow, one work list, and one application that can standardize templates and provide an efficient and consistent approach to reporting, regardless of the user.

Precision Reporting is designed to deliver more accurate and complete reports in less time, while reducing errors. The technology creates structured documents that capture and store not just text, but discrete data elements based on the widely accepted clinical document architecture (CDA) standard.

According to Ramin Khorasani, M.D., M.P.H., Vice Chair for quality, safety and IT in the Department of Radiology and Director of Center for Evidence-Based Imaging at Brigham and Women’s Hospital, Harvard Medical School, the Centricity Precision Reporting moves beyond traditional voice to text capabilities and into advanced speech understanding to enable the creation of discrete data elements from speech. “This advance should lead to the development of a consistent, structured report that creates new opportunities for knowledge delivery at the point of care, improves the quality of the diagnostic report, and enhances data mining and communication with referring providers,” said Dr. Khorasani.

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