The complex nature of the encounter data process creates many issues for healthcare organizations, including an average 1%-3% of premium lost due to unreported risk. Gone unresolved, data quality issues can have a negative impact on performance and result in compliance exposure and lost revenue.
In this webinar, the Pareto team examines common encounter data challenges and shares practical approaches for identifying and resolving data integrity issues across the encounter-to-submission process.
This session is designed for health plan leaders, risk adjustment teams, and analytics professionals responsible for improving data quality and ensuring accurate reporting.
What You Will Learn
- The true cost of inaccurate encounter data, including CMS audit exposure, suppressed risk scores, and misprioritization of efforts
- The numerous points of failure where data quality issues can occur and how to fortify them
- Ways to address both undocumented and unreported risk to achieve complete and accurate risk documentation
- Provider documentation and data challenges, along with practical solutions
