Billing Claims Prediction
Department of Veterans Affairs · VHA: Veterans Health Administration
Overview
- Development stage
- In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Other
- Operational functions
- Forecasting and prediction, Clinical and medical Derived by keyword rules; see methodology
Problem the AI is intended to solve
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.
Expected benefits
Increased revenue, decrease in denials, and increase efficiency and staff satisfaction.
System outputs
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.
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- Not reported
- Public source code
- Not reported
Sourcing
- How it was built
- Not reported
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported