Healthcare is constantly burdened by fraud. In 2017, the Department of Justice recovered $2.4 billion in fraud charges. Neal Analytics uses AI to analyze the quality of coding to optimize claim submissions and minimize the amount of rejected claims to payors.
- Developed anomaly detection model to classify most expensive errors
- Created optimizing model for top 800 ICD10 reimbursement codes by value
- Applied clinical coding model to minimized claims rejections and optimize coding practices between manual, financial, and clinical processes for claims X12 submissions
- Claims Records
- Billing Records
- Historical Data