More speech, more cloud

Speech recognition company Medquist acquired cloud-based speech engine M-Modal last year, and this year added a worklist/workflow component with the Poesis product, homegrown at the University of Chicago. The new component also is cloud- based, with some software resides on a local server. “When we dictate, it’s not just about taking the voice and translating it into words,” says Chris Spring. “There’s contextual meaning. We run it through a series of NLP processors and rule sets to be able to deliver real time alerting.”

Poesis includes a suite of three tools, a worklist that provides a view across multiple PACS, a clinical documentation tool that provides a prompt or alert, and a business analytics tool for performance, quality, and safety monitoring. Handy feature: Every application can be launched from within any other application.