Billing Claims Prediction
Description
The AI solution is designed to help the VHA Office of Finance, Revenue Operations in several ways: Identify missed revenue opportunities, ensuring no income potential is lost. Highlight, predict and analyze trends in actionable denials, helping to resolve systemic issues. Reduce the administrative burden on staff by simplifying processes. Develop a national denial management analytics platform for consistent and effective financial operations across the VA healthcare network.
Detailed example
Predictions: ex. Forecasts about future events or trends based on historical data, such as predicting patient readmission rates or financial performance. Trends and insights: ex. Providing analysis and visualization of trends over time, such as tracking billing errors. Recommendations ex. Offering suggestions based on data analysis, such as recommending treatment plans for patients or optimizing resource allocation Visibility of analytics Automated actions: ex. Performing tasks automatically based on AI analysis, such as automating denial management processes or patient appointment scheduling.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Increased revenue, decrease in denials, and increase efficiency and staff satisfaction.
Controls / human review
ATO: Not reported; PIA: Not published