Numeracy Group offers Burse, an AI‑driven platform that performs a third‑pass analysis of medical records to uncover missed clinically supported diagnoses, under‑coded conditions, and documentation gaps that can lead to revenue loss and audit risk.
Funding
Funding not disclosed
Founders
Product
Problem
Healthcare providers often miss clinically supported diagnoses during chart review, leading to underbilling and compliance risks. Inadequate documentation can also result in audit failures and lost revenue opportunities.
Solution
Burse, the Numeracy Group’s AI‑driven platform, performs a third‑pass analysis of the medical record to surface missed chronic conditions, undocumented but billable diagnoses, and documentation gaps that could trigger audit risk. The system evaluates longitudinal clinical evidence and MEAT‑based documentation standards, then routes identified issues to the appropriate workflow for coder or clinician resolution. By integrating with existing EHRs, Burse delivers condition‑level findings and actionable recommendations, enabling providers to capture additional revenue while strengthening compliance.
Target Audience
Primary customers are provider groups, accountable care organizations (ACOs), and health plans that need to improve revenue capture and documentation compliance.
Features
- AI analysis that identifies missed clinically supported conditions from longitudinal patient data
- Automated assessment of documentation against MEAT (Method, Evidence, Assessment, Treatment) criteria for compliant capture
- Coding validation to detect both under‑coded and over‑coded diagnoses
- Workflow routing that assigns findings to the correct coding or clinical team and tracks resolution status
- Integration-ready architecture for embedding within EHR systems, meeting HIPAA security standards
- Pilot program availability for select provider groups, ACOs, and health plans to validate on client data before full rollout