Speed revenue cycle, boost productivity, and reduce denials with computer-assisted coding
With the deadline to transition to ICD-10 just around the corner, many organizations are preparing for the increase in codes and change in coding structure, all while addressing the coder shortage. Our advanced computer-assisted coding (CAC) solution can help your organization streamline ICD-10 preparation and implementation. Because CAC automates much of the work, it can help mitigate the expected productivity drops during the conversion.
Computer-assisted coding: The basics
Optum CAC is a powerful solution that helps enhance coders' productivity. CAC automates the assignment of medical codes based on clinical documentation which saves human time and resources and improves accuracy. That translates to fewer denials which reduces rework, improves A/R, and speeds the revenue cycle. In addition, it helps improve regulatory compliance and eases the transition to ICD-10.
How the new generation of coding works
Optum CAC is powered by our patented natural language processing (NLP) technology LifeCode®—the only NLP engine in the industry that understands the syntax and semantics of medical records to abstract clinical facts with their full context. Optum CAC can help you increase productivity, reduce denials, and accelerate reimbursements to help you capture the revenue you've earned.
LifeCode— reads clinical documentation, deciphers the meaning and context of words within medical records, and correctly identifies diagnoses and procedures provided during patient care. The software then recommends appropriate and compliant ICD-9 and CPT® codes. Coding staff can then simply confirm the suggested codes or conduct additional research to validate them or adjust them.
Because the NLP engine identifies and generates the codes for the coders to review and approve, it frees coders to focus on the more complex aspects of coding. The result: a simpler, more efficient and precise method for automated coding.
CPT is a registered trademark of the American Medical Association.