Lake Success, NY, February 28, 2014 –(PR.com)– Voicebrook, Inc., the leader in Pathology speech recognition and reporting solutions, today announces that it will be exhibiting at the 2014 USCAP Annual Meeting at the San Diego convention center in San Diego, California. The exhibit hall is open March 3rd through March 5th, and members of the Voicebrook Product Management and Sales team will be available in Booth 916 for demonstrations and discussion of new product features.
Voicebrook will demonstrate VoiceOver® 5, along with its newest module, Structured Results Entry — a fully speech-enabled synoptic reporting solution. This module is Voicebrook’s latest offering and it enables the Pathologist to accurately and efficiently report primary cancer cases using the latest version of CAP eCC checklists. Users and administrators can also create customized synoptic templates for Gross reporting or pathology reports that require a more structured data-driven template.
“We are pleased to be part of this annual conference,” says Tami Abell, Voicebrook’s Director of Product Management. “We hope that prospects, clients and fellow vendors will come by our booth to check out the latest version of VoiceOver® along with the Structured Results Entry module and see how our speech recognition technology can help to make their AP laboratory more efficient.”
For more information about Voicebrook’s products and solutions, please visit www.voicebrook.com.
Visit Voicebrook
Please visit the Voicebrook at USCAP in San Diego, California March 3-5, 2014 Booth #916 for a demonstration of VoiceOver® and the new Structure Results Entry module.
About Voicebrook
Voicebrook is the leading provider of integrated speech recognition and digital dictation solutions for Pathology. Voicebrook VoiceOver® software integrates directly with most AP/LIS systems, and has been widely deployed in Pathology throughout the US and Canada. Voicebrook has developed specific best practices for implementation and on-going support, ensuring the most successful deployments of integrated speech recognition technology for Pathology.
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