Engram

MCA Module

Medicare Coverage Analysis, rebuilt.

Automated gap detection between protocol, budget, and CTA. AI-powered payer classification with CMS cross-referencing. Proactive conflict detection before site activation.

3.5 hrs
Time saved per protocol
vs manual review
98%
AI automation rate
procedures auto-classified
< 3s
Processing time
for 100+ row analysis

The problem with manual MCA

Traditional Medicare Coverage Analysis is a labor-intensive process that relies on spreadsheets, tribal knowledge, and inconsistent documentation. The result: slow turnaround, audit risk, and rework.

  • Manual line-by-line analysis across hundreds of procedures
  • Inconsistent application of coverage criteria
  • No traceability between decisions and source evidence
  • Weeks of analyst time for a single protocol
  • High risk of audit findings and compliance issues

How Engram's AI reasons across artifacts

The MCA Module applies structured reasoning to transform coverage analysis from an art to a science.

01

Ingest clinical artifacts

Upload protocols, budgets, CTAs, and billing grids. The system automatically extracts structured data from unstructured documents.

02

AI-powered analysis

Engram's reasoning systems analyze each procedure against Medicare coverage criteria, identifying coverage status, conflicts, and ambiguities.

03

Human review and decisions

Review flagged items, accept AI recommendations, override with rationale, and assign items for further review. Every action is tracked.

04

Export with traceability

Generate audit-ready deliverables with row-level rationale, evidence linking, and complete decision history.

The MCA Workbench

A structured interface for reviewing coverage determinations with flagged items, AI rationale, and complete decision traceability.

0 Internal Contradictions
Engine: Monad-1
TIME SAVED
3.5 hrs
vs Manual
AI AUTOMATION
98%
of rows
RISK DETECTED
3
Critical Conflicts
PROCESSING SPEED
2.3s
for 118 rows
VisitProcedureFreqPlan HintAI ProposalStatus
Cycle 3 Day 1
Brain MRI
70553
1Plan: SponsorAI: Medicare Conflict
Screening
Informed Consent
NA
1Plan: SponsorAI: Sponsor Auto-classified
Screening
Physical Examination
99204
1Plan: MedicareAI: Medicare Auto-classified
Screening
12-lead ECG
93000
1Plan: SponsorAI: Sponsor Auto-classified
Cycle 1 Day 1
Disease Assessment (CBC)
85025
1Plan: MedicareAI: Medicare Auto-classified
Cycle 1 Day 1
Bone Marrow Aspirate
38220
1Plan: SponsorAI: Medicare Conflict
Cycle 1 Day 1
PK Blood Draw
36415
1Plan: SponsorAI: Sponsor Auto-classified
Cycle 1 Day 8
Vital Signs
99211
1Plan: MedicareAI: Medicare Needs review

Brain MRI

70553 - Cycle 3 Day 1

Conflict
AI RECOMMENDATION & RATIONALE
Proposed Payer
98% ConfidenceAI: Medicare

AI detected a critical 4-way mismatch. While the CTA states Sponsor pays for all MRIs, the Budget only reimburses 2 occurrences. The Protocol requires 3 MRIs (Screening, C3D1, EOT). Since this is the 3rd MRI and exceeds the budgeted amount, and is standard of care for this indication, AI proposes Medicare coverage to avoid unreimbursed costs.

Model cross-referenced CMS coverage rules and site standard-of-care policies.

CONFLICTS & RISK SIGNALS
  • xCTA vs Budget Mismatch
  • xProtocol frequency exceeds Budget
  • xPayer Conflict: Sponsor (CTA) vs Medicare (AI)

Outcomes

Measurable improvements in speed, consistency, and compliance.

Speed

70-85%

of procedures auto-classified, reducing analyst time from weeks to hours

Reduced rework

Consistent logic eliminates coverage determination variability across studies

Audit readiness

Every decision includes rationale, evidence linking, and complete audit trail

Transform your MCA workflow

See how the MCA Module can reduce coverage analysis time while improving consistency and audit readiness.