Pulmonology Billing Services
For Practices Where Testing, Procedures, and Chronic Disease Management All Run Through the Same Revenue Cycle
A pulmonary practice can perform the service correctly and still lose revenue when documentation, coding, authorization, claim edits, payer coverage rules, or follow-up don't stay aligned from the first charge through final payment. Pulmonology revenue cycles are rarely a single, uniform workflow. Depending on the practice's service mix, the same week can include office visits, pulmonary function testing, bronchoscopic procedures, and chronic disease follow-up, each carrying its own coding logic and payer requirements.
MedCloudMD supports pulmonology practices across coding, claims, denials, A/R, payment posting, and revenue reporting, combining technology-assisted workflow consistency with the professional judgment that documentation review, payer communication, and denial resolution actually require.
Our Reported Revenue Cycle Performance
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< 30
97%
12–18%
99%
98%
Average Days in AR
Collection Ratios
Revenue Improvement
First Pass Ratio
Clean Claims Accuracy
Eligibility and Coverage Verification
Confirming coverage before services that carry authorization or referral requirements, since verifying after the fact leaves far less room to resolve a gap than catching it beforehand.
Charge Capture
Reconciling documented clinical activity against submitted charges to catch services performed but never billed, revenue that never shows up as a denial because the claim never existed.
Pulmonology Medical Coding
Verifying CPT, ICD-10-CM, and modifier selection against documentation and payer-specific requirements. Reimbursement determinations depend on the applicable payer policy, not a universal rule.
Claim Scrubbing and Submission
Reviewing claims for completeness and internal consistency before they leave the building, reducing avoidable rejections at the clearinghouse level.
Denial Management, Appeals, and Reconsiderations
Classifying denials by cause, distinguishing a straightforward corrected claim from a situation that genuinely needs a formal appeal, and tracking recurring reasons across claims rather than working each one in isolation.
Payment Posting and Underpayment Review
Posting payments accurately and comparing them against expected contractual reimbursement where contract information is available, surfacing underpayments a denial report alone would miss.
A/R Recovery and Reporting
Structured aging follow-up with escalation by payer and balance, backed by reporting on A/R aging, denial categories, payer performance, and payment variance so revenue stalling is visible, not assumed.
Start With the Revenue Cycle, Not Just the Contract
✔ Payer enrollment status
✔ Open A/R and aging buckets
✔ Outstanding claims inventory
✔ Denial and unresolved appeals inventory
✔ Fee schedules and contracts, where available
✔ Current charge capture workflow
✔ EHR and practice management configuration
✔ Patient balances and timely filing exposure
Where Pulmonary Practices Commonly Lose Revenue
Why it happens: the service performed and the documentation supporting the billed code have to tell the same clinical story, and when a note is written for clinical purposes without the billing implications in mind, the two can drift apart without anyone noticing until a payer flags it.
MedCloudMD reviews documentation against the billed service before submission, flagging inconsistencies for clarification rather than billing around the gap.
Diagnostic Test Billing Errors
Why it happens: pulmonary function testing and spirometry require accurate code selection tied to what was actually performed, and payer-specific rules about frequency, indication, and supporting documentation vary enough that a rule correct for one payer can be wrong for another.
We verify diagnostic test coding against payer-specific requirements rather than applying one standard rule across every payer.
Modifier and Procedure Relationships
Why it happens: where modifiers apply to bronchoscopic or other procedural services, incorrect or unsupported use can trigger claim edits, denials, or incorrect payment, and the correct modifier depends on the actual relationship between the procedures performed, not a default assumption.
We review modifier application against documented procedure relationships before claims are submitted.
Medical Necessity and Diagnosis Linkage
Why it happens: the diagnosis attached to a service has to support that specific service under the applicable payer's policy, and a diagnosis that's clinically accurate but doesn't map to what the payer's coverage policy actually requires can still generate a medical necessity denial.
We check diagnosis-to-procedure linkage against payer policy before submission, not after a denial arrives.
Authorization and Referral Gaps
Why it happens: certain pulmonary services may require authorization, referral, or other payer-specific prerequisites, and these requirements aren't uniform across payers or even across product lines from the same payer.
We track authorization requirements by payer and service, confirming status before the service is billed.
Charges That Never Reach Billing
Why it happens: a service can be documented in the clinical workflow, performed and charted correctly, and still fail to become a clean billable charge if it never makes it from the clinical record into the billing system. This kind of leakage never generates a denial because the claim was never submitted at all.
We reconcile documented services against submitted charges to catch work that was performed but never billed.
Denials That Are Reworked Without Finding the Cause
Why it happens: correcting a single denied claim fixes that one account, but if the same denial reason keeps appearing across a group of claims, the underlying cause is usually a workflow issue that will keep producing the same denial until it's actually addressed.
We categorize denials by reason and look for recurring patterns, not just resolve claims individually.
Aging A/R and Timely Filing Risk
Why it happens: old balances need structured follow-up based on payer, amount, claim status, and filing deadline, and a claim that sits unworked long enough to cross a timely filing window becomes unrecoverable regardless of how valid it originally was.
We prioritize A/R by balance, payer pattern, and filing deadline rather than working every claim in age order alone.
Technology Finds the Pattern Experienced Billers Handle the Judgment
Data enters the billing workflow, technology identifies inconsistencies and priority items, billing professionals review what's flagged, claims are corrected or submitted, denials are categorized, recurring patterns are analyzed, and workflow improvements get implemented based on what that analysis actually shows. Automation is genuinely useful for consistency and scale, catching a pattern across hundreds of claims faster than a manual review could. It doesn't replace what payer communication, documentation interpretation, unusual cases, and formal appeals actually require: a person applying judgment to a specific situation.
Coding Inconsistency Flagging
MedCloudMD AI flags potential mismatches between billed codes and documented device information for a specialist to review before submission.
MedCloudMD AI surfaces recurring denial patterns by payer and reason across your claim history for root-cause review.
Denial Pattern Recognition
MedCloudMD AI organizes aging accounts by balance, age, and filing deadline so specialists work the most recoverable claims first.
A/R Trend Monitoring
Every flagged issue is reviewed by an experienced billing professional who applies judgment and verifies the details before any action is taken. AI does not make clinical, coding, or reimbursement decisions independently.
Human Review of Every Exception
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Frequently asked questions
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