Denial Avoidance Flow
From Historical Denials to Proactive Claim Readiness
Decisive Connect helps teams learn from historical denial outcomes, approve the right intervention strategy, and resolve current charge issues before they become denied claims. The highest-value denial is the one that never occurs, because it avoids delayed reimbursement, claim resubmission, appeal overhead, and preventable operational work.
Claim History
What was billed
Historical claim activity shows the services, codes, modifiers, providers, locations, and payer context behind reimbursement outcomes.
Remittance Outcomes
What happened
Payments, adjustments, denials, remarks, and reason codes reveal where preventable revenue leakage occurred.
Current Charges
What is about to bill
Current charge activity is reviewed before claim submission to identify known conditions that create denial risk.
Denial Avoidance Process
Detect risk, resolve trusted issues, delegate exceptions, and prevent denials.
Historical outcomes and current workflow data reveal risk, governance defines the appropriate resolution path, and approved actions occur before issues become denied claims.
Step 01
Detect | Find exposure and patterns
Detect Revenue Risk
Analyze connected claims, remittance, charge, and workflow data to measure exposure, reveal recurring denial patterns, and prioritize the highest-value opportunities.
Step 02
Resolve | Automate approved actions
Resolve Trusted Risks
Apply client-approved automations to high-confidence risks, retaining the evidence, logic, action, and execution history needed for review.
Step 03
Delegate | Route work intelligently
Delegate Exceptions
Route true exceptions to the right people with supporting context while delegating repetitive resolution steps from manual queues to automation.
Step 04
Prevent | Act before submission
Prevent Denials
Review current charge activity against approved patterns and route each issue to the right resolution path before the claim is submitted.
Integration Model
Start Rapid. Expand Direct.
Decisive Connect can start denial avoidance with Rapid Connect, a lower-friction model that avoids the initial need for VPN connectivity, direct database users, and ODBC/JDBC setup. Direct Connect can be added over time for real-time access, broader data coverage, more robust analytics, and advanced workflow automation.
Rapid initial deployment
Provider-side EHR/RCM ops jobs create standard extracts, push them to Decisive Connect by SFTP, and receive automation-ready files back through the same lightweight exchange pattern.
Rapid start
Rapid Connect
- Provider-controlled SFTP exchange
- Scheduled EHR/RCM extract jobs
- Standard file layouts
- Pipeline activation on file arrival
- SFTP return files for automation
Expanded model
Direct Connect
- Direct network connectivity
- Database or API credentialing
- Expanded EHR/RCM data model coverage
- Near-real-time workflow intelligence
- More robust analytics and automation use cases
Revenue Leakage Assessment
Revenue Leakage Assessment powered by Rapid Connect
Rapid Connect creates a focused way to prove value before a broader deployment. The assessment can be offered as a fixed-fee engagement, credited toward implementation when the client moves forward, or waived for strategically qualified opportunities.
The model starts with Rapid Connect-based ingestion of historical claims and remittance data. Decisive Connect analyzes denial outcomes, applies AI/ML pattern detection, and maps recurring risk patterns to candidate automated resolutions that can prevent similar denials before claim submission, when the organization still has the best opportunity to protect reimbursement without downstream rework.
Assessment output
A quantified view of the client's largest denial problem areas, denied gross revenue exposure, and quick-hit automation opportunities that can accelerate time to ROI.
Ingest history
Historical claims and remittance files are delivered through Rapid Connect and normalized for analysis.
Detect risk patterns
AI/ML identifies recurring denial drivers, payer patterns, functional ownership, and preventable risk conditions.
Map automated resolutions
Patterns are mapped to candidate actions that could correct the issue before claim submission.
Quantify ROI
The assessment estimates denial volume, denied gross revenue, and high-confidence automation opportunities.
Lower onboarding friction
Avoid the initial lift of VPN connectivity, direct database access, database users, and network routing before value is proven.
Less vendor governance burden
SFTP extracts and HL7 interfaces can reduce dependence on heavier EHR/RCM vendor governance and pricing models tied to direct access patterns.
Revenue Leakage Assessment
Run AI/ML against historical claims and remittance data to quantify denial problem areas before a broader platform commitment is required.
Quick-hit ROI model
Identify high-confidence denial patterns and estimate the gross revenue exposure that could be mitigated by turning on automation early.
Historical data
Claims + Remits
837 claims, 835 remits, or RCM remit records.
AI/ML insights
Patterns + Risks
Denial drivers mapped by payer, workflow, category, and owner.
Automation path
Resolve Before Submission
Pattern-based resolutions become candidates for denial avoidance automation.
Rapid Connect Technical Flow
EHR / RCM Ops Jobs
Provider-controlled scheduled jobs produce standard extracts from the existing operational environment.
Claims, Remits, Charges
X12 837, X12 835, RCM remit records, and normalized charge extracts are prepared for transfer.
Inbound SFTP
Files are pushed to Decisive Connect without a VPN or persistent database connection.
Pipeline + AI/ML
Arrival triggers validation, normalization, denial analytics, pattern detection, and governed decisioning.
Outbound SFTP
Automation-ready files are returned for job interfaces, HL7 DFT workflows, or downstream work queues.
No VPN for initial launch
The provider pushes files out through a controlled SFTP pattern instead of opening a live database path.
Provider-owned extraction
Extract logic runs as approved EHR/RCM ops jobs and produces repeatable, normalized files.
Automation return path
Decisive Connect can return files for EHR/RCM job interfaces, operational work queues, or HL7 DFT workflows.
Governed Pattern Intelligence
Turn denial history into approved intervention paths.
Historical outcomes create a practical operating view of denial risk: where leakage starts, which teams own the workflow, which actions should happen earlier, and which interventions should be automated, reviewed, or monitored.
Quantified opportunity
Revenue Leakage Analysis
Quantify the client's largest denial and underpayment issues, then organize them by authorization, eligibility, medical necessity, coding, charge capture, credentialing, payer requirement, and other operational categories.
Root-cause signal
Pattern Intelligence
Identify recurring conditions that explain why denials are happening, where those risks originate, and what action can be taken earlier to avoid repeat leakage.
Operational control
Governed Intervention Paths
Give client stakeholders a clear approval model for deciding which scenarios can be resolved autonomously and which should be reviewed before action is delegated to automation.
Operating Model
A repeatable path from insight to prevention
- 1Historical claims and remittance outcomes establish where denials and underpayments are concentrated.
- 2Denial drivers are grouped into operational categories the revenue cycle team can act on.
- 3Repeatable patterns are mapped to actions that can be taken before claim submission.
- 4Stakeholders approve whether each pattern should be automated, reviewed, or monitored.
- 5Current charges are evaluated against approved patterns before they become claims.
- 6Outcomes are tracked so the governance model can adapt as payer behavior and workflows change.
Governance Model
Client-controlled automation boundaries
Autonomous automation
Low-risk, high-confidence scenarios approved for automatic correction before billing.
Review before automation
Scenarios that need human validation before a proposed resolution is approved or delegated.
Observe and measure
Emerging patterns monitored for volume, impact, and confidence before an intervention path is approved.
Pre-Bill Charge Review
Current charges are reviewed before they become claims.
Decisive Connect compares current charge activity against approved denial-risk patterns and routes each item into one of three operational paths based on risk, confidence, and governance approval.
Clear to Bill
The charge does not match a governed risk pattern and can continue through normal billing readiness workflows.
At Risk: Automate
The charge matches a high-confidence pattern approved for automatic correction before the claim is submitted.
At Risk: Review
The charge matches a denial-risk pattern that needs review, with recommended actions a user can approve, delegate, or route.
Outcome: prevent denials at the source
The denial avoidance flow moves the organization beyond retrospective reporting and into governed, proactive intervention. Historical outcomes show where risk exists, governance defines what can be automated, and current charge review resolves issues before claims go out the door. The result is fewer avoidable denials, less rework, fewer appeals, and faster reimbursement.