Turn revenue integrity into a competitive advantage.
CodifyIQ transforms coding, CDI, charge capture, and pre-bill quality into an AI-powered, human-informed revenue integrity engine, helping health systems improve accuracy, reduce rework, and protect reimbursement before the claim is submitted.
Clinical care is judged by accuracy, quality, and outcomes. Revenue integrity should be no different.
Action Through Intelligence. Proven Through Outcomes.
THE OPPORTUNITY
Revenue integrity is an enterprise performance lever.
Health systems cannot code, document, and defend revenue the same way they did five years ago. Payer scrutiny is rising, denial pressure is growing, and labor-heavy coding models are becoming harder and more expensive to sustain.
CodifyIQ modernizes the mid-cycle with an intelligence-led approach that combines AI, automation, and expert human oversight to improve coding accuracy, strengthen documentation integrity, prevent avoidable denials, and accelerate financial performance. Instead of simply adding labor or layering on another point tool, CodifyIQ helps organizations operationalize revenue integrity at scale.
1–3%CMI improvement opportunity
01
Coding floor
Exceptions routed to the right expert.
02
Physician query
Specificity clarified, compliantly.
03
Integrated CDI + coding
One queue, one handoff.
THE CodifyIQ PORTFOLIO
Intelligence built for revenue integrity.
CodifyIQ connects coding, documentation, risk adjustment, charge integrity, and pre-bill exception workflows with intelligence-led execution. Select a solution to explore its capabilities.
Improve coding accuracy and throughput with intelligent automation.
Accelerate turnaround while preserving accuracy.
Autonomous coding
Computer-assisted and augmented coding
Intelligent work allocation
Exception management
Human-in-the-loop validation
Coordinate documentation improvement and coding in one workflow.
Connect teams and improve claim readiness.
Shared work queues
Coordinated case prioritization
Integrated handoffs
Exception management
Identify charge and compliance discrepancies before submission.
Direct expert review to material discrepancies.
Charge capture and integrity
Modifier and DRG validation
Risk-based quality assurance
Pre-submission audits
Identify and resolve documentation gaps before they impact revenue.
Improve clinical specificity and documentation integrity.
Concurrent and retrospective CDI
Clinical validation
Physician queries
Targeted provider education
Represent patient complexity accurately and compliantly.
Support accurate, defensible risk capture.
Retrospective, concurrent and prospective HCC coding
Suspected-condition identification
RAF accuracy analysis
Clinical validation
Audit defensibility
Provider engagement across applicable risk-bearing workflows
Resolve coding and documentation defects before claims are submitted.
Prevent recurring defects using downstream intelligence.
Pre-bill exception identification and prioritization
Coding and documentation validation
Issue routing for resolution
Downstream payer and denial intelligence feedback
HOW INTELLIGENCE BECOMES ACTION
From fragmented workflows to connected execution.
Most solutions improve task efficiency. CodifyIQ is built to improve enterprise performance. Omega combines AI-led decisioning with expert human oversight to scale intelligence first and apply labor where it adds the most value.
Follow a fictional encounter as CodifyIQ identifies revenue integrity risk, directs expert action, and validates claim readiness.
Stage 01 / Signal
Risk detected
Documentation Intelligence
Detect: Identify the risk
A documentation review flags missing clinical specificity needed to support accurate coding for an encounter.
CodifyIQ response
Potential documentation gap surfaced for review.
Mechanism
Documentation Intelligence
Workflow accountability
CDI review queue
Revenue impact
Documentation and reimbursement risk
Stage 02 / Insight
Insight generated
Documentation Intelligence
Analyze: Understand what matters
CDI and coding context is assessed to determine whether clarification is needed and how urgently to route the case.
CodifyIQ response
Targeted physician-query opportunity prioritized.
Mechanism
CDI prioritization + clinical validation
Workflow accountability
CDI specialist assigned
Revenue impact
Reduced ambiguity before coding
Stage 03 / Action
Action in progress
Integrated CDI + Coding
Act: Put intelligence to work
A CDI specialist reviews the record and coordinates an appropriate, compliant physician query when warranted.
CodifyIQ response
Human-governed clarification workflow records the response and next steps.
Mechanism
Physician query + CDI expertise
Workflow accountability
Query response tracked
Revenue impact
Avoidable rework reduced
Stage 04 / Outcome
Outcome verified
Integrated CDI + Coding
Verify: Confirm the outcome
Updated documentation is reviewed against coding requirements before the claim is released.
CodifyIQ response
Coding and documentation alignment validated; patterns inform provider education.
Mechanism
Coding validation + feedback
Workflow accountability
Claim readiness confirmed
Revenue impact
More defensible reimbursement
Stage 01 / Signal
Risk detected
Coding Automation
Detect: Identify the risk
Automated coding checks flag a potential discrepancy between the coded encounter and documented clinical evidence.
CodifyIQ response
Coding exception identified for targeted review.
Mechanism
Coding Automation
Workflow accountability
Coding exception flagged
Revenue impact
Accuracy and compliance exposure
Stage 02 / Insight
Insight generated
Charge & Audit
Analyze: Understand what matters
The exception is assessed for clinical complexity, coding rules, and potential reimbursement impact.
CodifyIQ response
High-value case routed to an appropriate coding expert.
Mechanism
Risk-based review + work allocation
Workflow accountability
Expert review prioritized
Revenue impact
Focus on material exceptions
Stage 03 / Action
Action in progress
Coding Automation
Act: Put intelligence to work
A coding specialist validates the clinical record and corrects the code or escalates for clarification as needed.
CodifyIQ response
Governed human-in-the-loop validation resolves the discrepancy.
Mechanism
Coding expert + exception workflow
Workflow accountability
Correction recorded
Revenue impact
Reduced correction and appeal burden
Stage 04 / Outcome
Outcome verified
Charge & Audit
Verify: Confirm the outcome
Pre-submission checks confirm the updated code and supporting documentation are aligned.
CodifyIQ response
Coding quality verified and recurring exceptions captured for improvement.
Mechanism
Pre-bill QA + learning loop
Workflow accountability
Coding validation complete
Revenue impact
Claim quality strengthened
Stage 01 / Signal
Risk detected
Pre-Bill Denial Prevention
Detect: Identify the risk
Downstream denial patterns highlight a payer-specific coding issue that also appears in a pending claim.
CodifyIQ response
Recurring pre-bill risk surfaced from payer feedback.
Mechanism
Pre-Bill Denial Prevention
Workflow accountability
Risk signal detected
Revenue impact
Potential repeat denial
Stage 02 / Insight
Insight generated
Pre-Bill Denial Prevention
Analyze: Understand what matters
The pending claim is evaluated against payer-specific requirements and the known denial root cause.
CodifyIQ response
Exception prioritized for correction ahead of bill drop.
Mechanism
Denial intelligence + case prioritization
Workflow accountability
Pre-bill queue assigned
Revenue impact
Earlier prevention opportunity
Stage 03 / Action
Action in progress
Integrated CDI + Coding
Act: Put intelligence to work
Coding and CDI teams coordinate a correction or documentation clarification with appropriate oversight.
CodifyIQ response
Shared workflow resolves the identified defect before release.
Mechanism
Integrated CDI + Coding workflow
Workflow accountability
Correction completed
Revenue impact
Downstream rework avoided
Stage 04 / Outcome
Outcome verified
Pre-Bill Denial Prevention
Verify: Confirm the outcome
Pre-bill checks confirm the defect is addressed; the resolution feeds back into future risk identification.
CodifyIQ response
Claim readiness documented and recurring payer issue monitored.
Mechanism
Pre-bill validation + feedback
Workflow accountability
Claim validated
Revenue impact
Preventable denial risk reduced
1 of 4
Without intervention
Insufficient clinical specificity may lead to inaccurate coding, delayed billing, or defensibility concerns.
Without intervention
An unsupported or inaccurate code may create compliance exposure, payment variance, or rework.
Without intervention
A known payer-specific coding defect may pass through to billing and trigger a preventable denial.
→
With CodifyIQ
Documentation clarified and coding validated before submission.
With CodifyIQ
Coding discrepancy reviewed and corrected through a governed pre-bill workflow.
With CodifyIQ
Payer-linked pre-bill exception addressed and validated before claim submission.
Conceptual workflow only. This is not a live product demonstration or a documented customer result. Specific actions, payer rules, integrations and outcomes depend on deployment configuration.
BUILT FOR MEASURABLE OUTCOMES
Measure what matters.
Not just more activity.
CodifyIQ is built to improve coding and documentation performance through AI-led decisioning and expert human oversight, delivering outcomes finance and revenue cycle leaders can measure.
01
1–3%
CMI improvement opportunity
Stronger documentation integrity and more accurate coding can improve case mix capture and reimbursement performance.
02
3–7%
wRVU uplift potential
More complete and defensible professional coding can support physician revenue capture.
03
Reduced DNFB / faster bill drop
Smarter routing and coding acceleration help move accounts through the mid-cycle faster.
04
Lower denial-driven rework
Identify issues pre-bill to reduce downstream correction and appeals.
05
Smarter use of expert labor
Help coding and CDI teams focus on complex, high-value cases.
06
More defensible reimbursement
Strengthen coding accuracy, documentation quality, and compliance confidence.
The 1–3% CMI and 3–7% wRVU figures are opportunities and potential, not verified customer results or guarantees.
OUTCOMES-DRIVEN APPROACH
Proven results and customer satisfaction.
Three products. One revenue cycle.
CodifyIQ
Consistent coding audit accuracy
95%
Consistent coding audit accuracy
Decrease in documentation errors
7–10%
Decrease in documentation errors
Mid-Revenue Cycle
Medical Records Coding
HCC Coding Review
Clinical Documentation Improvement
Charge Capture
Chart Audit and Education
Improve documentation integrity before claims are billed
Before billing
Identifies documentation gaps, supports provider action and improves coding quality and turnaround to strengthen clean-claim readiness.
WHY OMEGA WINS
More than coding support.
A revenue integrity engine.
CodifyIQ is not just software and not just labor. It is a technology-led operating model combining AI-driven decision support, workflow orchestration, and human expertise to modernize mid-cycle operations without sacrificing quality, control, or compliance.
AI-driven coding and documentation intelligence
Intelligent workflow orchestration
Deep coding, CDI, and revenue integrity expertise
Seamless integration with existing systems
A governed human-in-the-loop model
“We don't just automate healthcare. We activate it.”
Action Through Intelligence · Proven Through Outcomes