Introducing Burse

AI analytics that meet clinicians in the EHR and increase compliant risk capture.

Improve risk adjustment, contain costs, and protect revenue integrity—without adding workflow burden.

Year-to-date forecasted revenue dashboard in Burse.

Built for ACOs • Provider Groups • Health Plans

Bidirectional EHR integration (read / write)Founders: 100+ years in healthcare analytics
HCC Reimbursement Optimization

HCC Reimbursement Optimization

AI scans clinical data, MD notes, and claims from the past 24 months to surface conditions likely present that map to an HCC—complete with evidence links—so providers can confirm and capture compliantly without leaving workflow.

  • Cross-encounter signal synthesis (notes + claims)
  • Evidence snippets linked directly to the source note
  • In-EHR presentation with minimal clicks
  • Provider-friendly explanations that reduce friction
Patient-level HCC opportunities surfaced from clinical data, MD notes, and claims.
Cost Containment

Cost Containment

Dashboards identify avoidable costs across high-cost and rising-risk patients, post-acute and ED utilization, and provider variance. Each dashboard includes simulators to estimate initiative impact before you act.

  • High-cost & rising-risk cohorts with trend lines
  • Post-acute leakage & ED utilization insights
  • Provider variance breakdowns (site-of-care, pathways)
  • Initiative simulators: forecast impact and ROI before rollout
Post-acute care dashboard by visit type and visit-type cost.

MEAT Validation Example

AI accurately evaluates all conditions billed that map to an HCC to ensure provider documentation complies with MEAT criteria, with clear guidance on what’s met and what’s missing.

Patient chart with an HCC-relevant diagnosis flagged for documentation review.
MEAT analytics show what’s met vs. missing, with clear guidance to document compliantly.
Revenue Integrity (RADV Exposure)

Revenue Integrity (RADV Exposure)

RADV risk analysis runs a ten-fold sample to estimate potential financial exposure and penalties, with patient-level drill-downs so teams can prioritize remediation before audits.

  • Ten-fold sampling to project exposure
  • Estimated penalties with confidence intervals
  • Simulations to model penalty impact under documentation improvement
  • Patient-level detail: diagnosis, notes, MEAT gaps
  • Exports for remediation worklists and tracking
RADV simulator with exposure estimates, confidence intervals, and patient detail.
Out of 25 patient cases, there were four discrepancies between our coder and The Numeracy Group’s AI. The AI got all four right.
— Coding Lead, Large Provider Group

Let’s talk

Curious about pilots or rollout? Email us and we’ll respond quickly.

Who we serve
ACOs, Provider Groups, Health Plans
EHR
Embedded
Security
HIPAA-ready
Scale
Enterprise rollout