by Angela Guess
A new release out of ezDI Inc. reports, “Built with advanced Natural Language Processing capabilities that includes Computational Linguistics, Semantic Web and Machine Learning, ezCDI transforms CDI workflows into an automated, real-time, collaborative and effective Revenue Cycle solution. ezCDI analyzes digitized healthcare data to identify documentation gaps and makes it easily available to clinical document improvement (CDI) and health information management (HIM) professionals. ezDI has combined their computer-assisted coding (CAC) application with ezCDI allowing both coding and CDI workflows to be seamlessly integrated on a single platform in a massively scalable cloud-based infrastructure. Reviewers have access to all interfaced documents in one location to avoid accessing multiple systems that often “time out” or lose connectivity. Once the solution is deployed, there is no scheduled downtime for updates or maintenance as well as tangible cost savings due to decreased reliance on organizational IT support.”
The release goes on, “ezCDI allows users to easily identify their review population by building work lists that prioritizes by query opportunities, allowing CDI teams to focus on the most essential cases, maximizing coverage and efficiency. By leveraging technology that supports different CDI workflows, CDI efforts continue to evolve towards industry best practice. Through ezDI’s innovation, CDI staff focus is shifted towards accurately capturing the complexity of the patient population and clinical scenario in coded data impacting both reimbursement and quality of care measures rather than spending time on manual and inefficient tasks just to determine which cases need review.”
Read more at Newswire.com.
photo credit: ezDI