Authorization intelligence workspace

Welcome back, Hiba

Monitor approval confidence, missing criteria, payer friction, and readiness across active cases.

82/100

Clariq Confidence™

Moderate

Confidence increased from 68 → 82 after readiness updates.

Updated 2 min ago • Based on payer policy logic + clinical criteria

Cases analyzed

128

↑ 18%

Ready to submit

41%

↑ 12%

Avg. confidence

79%

↑ 8%

Potential impact

$2.4M

↑ 22%

Active case

IVIG / BCBS IL PPO

Needs Review

Recommended Actions

82

Moderate Chance of Approval

Strengthen missing items to increase confidence before submission.

Quick Shortcuts

Payer Updates

View all
◎
BCBS ILUpdated PA criteria
May 28
♧
AetnaNew step therapy policy
May 27
▣
UnitedHealthcarePrior auth changes
May 24

Where Clariq Fits

Patient Need
Provider Eval
Clariq Intelligence
Payer Review
Outcome

Clariq sits before submission as the decision layer that validates readiness and guides action.

Case management

Active Cases

Review readiness by therapy, payer, and missing requirements.

Analytics layer

Approval Intelligence Trends

Patterns across payers, therapies, and documentation gaps.

Top Missing Criteria

Approval Confidence by Payer

Operational Impact

30–40%Potential first-pass approval lift
25–35%Potential denial reduction
15–20%Potential turnaround reduction

Workflow positioning

Before Prior Authorization Submission

Clariq works as the pre-submission intelligence layer.

1Existing SystemsEHR, pharmacy, intake, payer policies
2Clariq Decision LayerCriteria, docs, coverage logic, confidence
3Improved SubmissionCleaner request with next-best actions

Investor view

Why Clariq, Why Now

Prior authorization is a system-wide workflow problem across healthcare.

Problem

Teams submit without enough visibility into approval likelihood, payer-specific criteria, and missing evidence.

Solution

Clariq predicts approval likelihood, identifies missing criteria, and recommends next-best actions.

Market Fit

Hospitals, infusion centers, outpatient clinics, specialty pharmacies, manufacturers, patient access, revenue cycle, and provider offices.

Data Moat

Payer rules, clinical criteria, authorization outcomes, and operational patterns become an intelligence layer over time.