Intelligent Healthcare Revenue Optimizer

Surface HCC gaps, track RAF score impact, and send ready-to-act worklists to your team. Improve value-based performance without the busywork.

Eligibility Check
Patient ID: #78942
Verified
Coverage Active
HCC Gaps Identified
8
Documented68%
Approval Rate96.5%
Claims Dashboard
Monthly Overview
Submitted
1,847
Approved
1,782
96.5%
Denied
65
3.5%
Avg Reimbursement Time
-23%
14
days
New Worklist Ready
12 HCC opportunities
Denial Rate
3.5%
RAF Score Impact
1.847
+12%
Revenue Opportunity
$284K
Target RAF2.100
Progress88.0%
Payment Posting
$127K
Posted today

Connect your claims, clinical, and quality data into a single source of truth, and OptimIQ continuously surfaces risk and care gaps, flags payment and utilization issues, and delivers ready-to-act worklists—so risk adjustment accuracy, value-based performance, and claims integrity all improve without extra busywork.

Documentation preview

A Unified Suite Built for Modern Healthcare

Comprehensive solutions to optimize your healthcare revenue cycle

Value-Based Care Metrics

Intelligence platform with validated NLP and ML models identifying HCC gaps and optimizing RAF scores through comprehensive HIE integration.

  • V28 HCC gap analysis
  • RAF score optimization
  • Quality care gap alerts
  • VBC metrics tracking

RAF Score Analytics

HCC Gap Analysis Dashboard

+12.4%
Current RAF
1.847
Target RAF
2.100
Potential
$284K
HCC Gap Analytics (Last 5 Months)
Gaps Identified224
Gaps Closed116
Open HCC Gaps (V28)
HCC 18

Diabetes w/ Complications

HCC 85

Congestive Heart Failure

HCC 111

COPD

HCC 23

Chronic Kidney Disease

Post-Acute Optimization

High-accuracy disease burden capture for SNFs and home health agencies with audit-ready recommendations.

  • Comorbidity identification
  • Revenue opportunity flags
  • Operational efficiency insights
  • Audit-ready documentation

SNF Performance

Disease Burden Capture

Live
Total Patients
1,247
Avg Revenue
$5.3K
Audit Ready
100%
Revenue Analysis
Comorbidity Capture Pipeline (Last 6 Months)
Total Identified
89
Validated
67
Captured
52
Top Comorbidities Identified
Type 2 Diabetes
$8.2K
Hypertension
$4.1K
Depression
$3.8K
COPD
$6.5K

Claims Intelligence

Real-time eligibility verification and predictive analytics for denial prevention and revenue optimization.

  • Real-time eligibility checks
  • Denial risk prediction
  • Cost estimation & rate comparison
  • Clinical insights before visits

Claims Intelligence

Real-Time Eligibility

Active
Patient: John Doe #12345
Eligible - Active
Copay
$25
Deductible Met
78%
Out-of-Pocket
$1.2K
Risk Analysis
Claims by Risk Category Distribution
60%
At Risk
40%
Low Risk
Documentation Issues(25%)
average of 8 claims
Prior Authorization(35%)
average of 12 claims
Claims Success Rate
Avg Reimbursement
$425
vs. Market
+8%

How It Works

From data integration to revenue optimization in four simple steps

STEP 1

Connect & Integrate

Seamless integration with your existing EHR, PMS, and clearinghouse systems. Our platform connects via secure APIs, HL7/FHIR protocols, or direct database access—whatever works best for your infrastructure.

OptimIQ
STEP 2

Analyze & Extract

Our NLP engine processes clinical documentation to identify missed diagnoses, incomplete coding, and revenue opportunities. Validated AI models ensure every recommendation is clinically accurate and compliance-ready.

Clinical Document
Diabetes Type 2
FOUND
Hypertension
FOUND
COPD
FOUND
CHF
FOUND
CKD Stage 3
FOUND
Depression
FOUND
STEP 3

Validate & Prioritize

Human experts review AI-generated recommendations to ensure clinical validity and compliance. Opportunities are ranked by revenue impact, documentation strength, and audit defensibility.

Validation Report
HCC 18 - Diabetes
Clinical Documentation
MEAT Criteria Met
Compliance Check
23
Validated
2
Pending
98%
Accuracy
STEP 4

Deploy & Capture

Actionable insights delivered directly into provider workflows. Updates pushed back to EHRs via reverse interfaces, enabling one-click documentation improvements and immediate claim submission.

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Frequently Asked Questions

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