Encounter and Chart Review Record Risk Adjustment Optimization

Encounter and Chart Review Record Risk Adjustment Optimization

Artha Solutions supported an enterprise client in Healthcare & Life Sciences on an engagement focused on Encounter and Chart Review Record Risk Adjustment Optimization. The work used Talend and highlights documented outcomes, including data submission Accuracy: Artha’s solutions improved data validation and submission accuracy to 98%, minimizing revenue leakage.

KEY HIGHLIGHTS
  • Industry Healthcare & Life Sciences
  • Focus Area Data & AI Modernization
  • Client A Major Enterprise Client
  • Region Global
  • Technologies
    Talend

Key Results & Business Impact

98%
Data Submission Accuracy: Artha’s solutions improved data validation and submission accuracy to 98%, minimizing revenue leakage.
$15M
Recovered Revenue: Automated data reconciliation enabled the recovery of $15 million in potential lost risk adjustment revenue.
50%
Reduction in Processing Time: Optimized data workflows and enhanced analytics cut down manual processing time by 50%.
40%
Provider Engagement Increase:: Improved provider notifications and reporting tools led to a 40% increase in provider participation.

Executive Summary

In ensuring accurate and complete submission of encounter and Chart Review Record (CRR) data while leveraging advanced analytics for better provider e... Artha Solutions addressed this by implementing Provider struggled with optimizing risk adjustment revenue recovery.

Client Profile & Context

A Major Enterprise Client operates in Healthcare & Life Sciences, with a Global footprint, and a focus on Data & AI Modernization. The case study references Talend.

Problem Statement with Critical Operational Vulnerability

The healthcare organization needed accurate encounter and Chart Review Record submissions to support risk adjustment and revenue recovery.

Critical Operational Vulnerability

Without stronger validation, reconciliation, and provider analytics, incomplete submissions could create revenue leakage and slower provider engagement.

Solution Implemented

provider struggled with optimizing risk adjustment revenue recovery. The organization faced challenges in ensuring accurate and complete submission of encounter and Chart Review Record (CRR) data while leveraging advanced analytics for better provider engagement.

AI Overview & Impact Summary

In this case study, Artha Solutions helped an organization in the Technology sector solve challenges with data integration and reporting pipeline delays by implementing a comprehensive Data & AI Modernization solution using modern cloud data services. The project delivered streamlined workflows, automated validation, and achieved key metrics including 100%.