Geisinger Health System, based in Danville, Pa., announced that it is achieving positive results six months into a partnership with health information management technology vendor Precyse.
Geisinger has deployed technology that combines a computer-assisted coding (CAC) application with Natural Language Comprehension (NLC) to improve clinical documentation and coding accuracy. NLC processes and “understands” human voice, converting it to structured and tagged text, and transforms it into actionable information, according to Precyse.
The company described its precyseCode solution as the industry’s first computer-assisted and NLC-driven intelligent workflow solution. Precyse said the combined technology provides a single platform “to optimize coding processes, accelerate revenue cycles and support healthcare organizations as they navigate compliance challenges, clinical documentation improvement (CDI) initiatives, migrate to ICD-10, and meet health reform and meaningful-use initiatives head on.”
At Geisinger, precyseCode is being implemented to bridge the EHR, dictation, transcription, coding and CDI processes by capturing, editing, coding and directing physician dictation into Geisinger’s EHR software platform. Geisinger physicians can dictate directly into the EHR with minimal impact to their current workflow patterns, Precyse reported. Clinical information is electronically tagged to be easily searched, mined and analyzed by healthcare team members responsible for driving hospital care and outcomes.
“We made the decision to partner with Precyse because we shared in their vision about how NLC could be applied to CAC technology to significantly accelerate the revenue cycle,” said Barbara Tapscott, vice president of revenue cycle, Geisinger Health System. “Though we are still early on in our implementation of precyseCode, the results we are achieving thus far are already validating our combined vision. I have no doubt that the improvement will continue and that we will be well prepared for ICD-10 and other challenges on the horizon.”
Ken Lacy, president and general manager of the R&D division of Precyse, noted that the company has seen 20 percent increases in coder productivity with precyseCode. “[W]e expect that figure to climb as high as 50 percent as the system ‘learns’ from its earlier coding assignments,” he added.
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