Many of the nation’s top physician practices, billing companies and multi-specialty clinics rely on 3M CodeRyte CodeAssist System as the centerpiece of their professional coding operations. The easy-to-use, web-based software automates the coding process by automatically identifying correct billing codes and streamlining the coding workflow process. The integrated technology – rooted in 3M-proprietary natural language processing (NLP) – imports reports directly from operational information systems and exports billing codes back into the organization’s billing system.
Find out how Brenda Nott’s department improved coding accuracy with 3M℠ CodeRyte℠ CodeAssist℠ System.
Features and benefits
Greater productivity right from the start
3M CodeRyte CodeAssist System can help organizations achieve dramatic productivity improvements. The technology quickly helps eliminate backlogs and any associated overtime, as well as reduce turnaround time, denials and A/R days.
Automated, front-end integrity checks also help coders resolve issues before codes enter the billing system, where corrections or denial management become more time-consuming and cost-prohibitive.
Streamlined from end to end
Because 3M CodeRyte CodeAssist System is a web-based system, clients can streamline their entire coding, billing and management operations without the hassle of installing and managing a new computer system. The software’s real-time dashboards also offer valuable insight into what’s happening throughout a department and quickly present individual coder productivity results.
Built for compliance
3M’s NLP engine was built for compliance based on national coding guidelines, including the ICD-9-CM Official Guidelines for Coding and Reporting, AMA’s CPT® Assistant (official coding advice published quarterly by the American Medical Association), and more than a dozen other related, payer and specialty publications.
3M CodeRyte CodeAssist System evaluates the complete record so all procedures can be coded. The software easily accounts for nuances in physician language such as negation, context and time references and also identifies patterns of deficient documentation to help improve compliance.