OUR EXPERIENCE ACROSS ALL MARKETS
Complexities of the Encounter Data Process
From encounter to regulatory submission, the flow of health data through various systems and organizations creates many potential areas of data degradation, resulting in data quality issues that negatively impact revenue. These issues can lead to as much as 1%-3% of premium lost due to unreported risk, requiring a holistic approach to data integrity evaluation.
Pareto Data Integrity Assessment & Performance Evaluation
Our data quality assessment is designed to recover lost data, improve processes by reducing errors, and identify instances of incorrectly captured and submitted encounter information that pose a compliance risk to help you achieve complete and accurate encounter submissions and improve risk score accuracy.
As part of this one-time assessment, your plan will receive:
- Encounter-Level Data Evaluation to identify and prioritize where data quality issues exist.
- Root Cause Investigation through defined root causes to help prioritize improvement efforts for 2021 and beyond.
- Financial Exposure Quantification to determine the value of data discrepancies and focus remediation.
- Compliance Evaluation by identifying potential under- and over-reported encounter submissions.
- Independent Risk Score Calculation for each dataset evaluated.