INTUS REVENUE INTEGRITY SYSTEM - IRIS
A risk adjustment system harnessing Natural
Language Processing (NLP), built for PACE to empower proactive and compliant workflows
PROACTIVE
AI-DRIVEN HCC CODING
Support your providers by surfacing prospective condition codes for review during assessments. Using NLP and certified risk adjustment coders, our solution identifies relevant conditions. Ensuring precise documentation and improved outcomes.
Providers are prepped prior to all encounters
Ongoing provider education to improve notes for coding accuracy
Monthly generation of CMS submission file for streamlined submission to CMS
Pre-encounter preparation ensures that providers address all relevant conditions during each encounter
Timely coding and submission ensures that revenue is accurate in each payment period
Analytics allows finance teams to address payment inaccuracies each month
ENHANCED CODE CAPTURE ACCURACY
Partner with our team of certified, onshore coders to ensure all condition codes are accurately captured and documented. With a focus on precision, IRIS empowers you to leverage expert coding support, enhancing the accuracy and completeness of your coding processes.
ENHANCED
REIMBURSEMENT
ACCURACY
With a focus on accurate coding and documentation, IRIS optimizes revenue capture by ensuring compliance with reimbursement requirements.
Pre-encounter preparation ensures that providers address all relevant conditions during each encounter
Timely coding and submission ensures that revenue is accurate in each payment period
Real-time analytics allows finance teams to address payment inaccuracies each month
CONTINUOUS
PERFORMANCE
MONITORING
IRIS delivers actionable insights into revenue cycle data, identifying re-coding opportunities and predictive conditions. This process is repeated multiple times per year, ensuring ongoing accuracy in risk adjustment and optimized incoming revenue.
Revenue Integrity Analytics
Breakdown and summarize key payment details from your CMS files
Identify revenue and submission gaps as well as missed coding opportunities
100% census completed twice a year
