How to Reduce Behavioral Health A/R Over 90 Days
Updated: Sep 17

Most behavioral health practices watching their A/R climb already know the number. What they usually cannot answer is the more useful question: which specific part of the revenue cycle is producing that number, and whether the same failure is still happening today while the aged claims get worked.
This guide is built around that diagnostic problem rather than around a list of tips. It covers how to decompose A/R into categories that behave differently, how to locate the actual point of leakage, how to triage aged claims by recovery probability rather than age alone, and how to prevent the same revenue from aging again next quarter.
EXECUTIVE TAKEAWAY • The problem: A single Days in A/R figure hides the composition of A/R — preventable, recoverable, delayed, underpaid, and high-risk claims all behave differently and require different responses. • Why it happens: Behavioral health carries authorization-heavy, session-based, documentation-sensitive billing, so small front-end failures compound across many low-dollar claims before anyone notices. • What to measure first: 90+ day A/R as a share of total A/R, segmented by payer and by denial reason. • First three actions: (1) Segment your A/R into the five categories below. (2) Identify which revenue-cycle stage is producing the most preventable A/R. (3) Triage aged claims by deadline proximity and recovery probability, not by age. |
Behavioral Health A/R Is More Than an Aging Report
A Days in A/R number is a summary statistic. It tells you something is slow; it does not tell you what is broken. Two practices with identical Days in A/R can have completely different underlying problems — one drowning in authorization denials, the other quietly absorbing underpayments on claims that technically paid.
Before any recovery work begins, separate your A/R into its actual components:
• Total A/R — the headline figure, useful only as a starting point
• A/R aging — distribution across time buckets
• 90+ day A/R — the at-risk concentration
• Denied A/R — adjudicated and rejected, requiring correction or appeal
• Pending A/R — submitted, not yet adjudicated
• Patient A/R — balances owed by patients rather than payers
• Unbilled A/R — services delivered but never charged; invisible in most aging reports
• Underpaid A/R — paid below contracted rates; invisible in denial reports
• Credit balances — overpayments requiring refund or reconciliation
COMMON MISTAKE Treating All Aged A/R the Same Way • Why it happens: The aging report sorts by date, so teams work oldest-first out of habit. • Why it matters: A 200-day claim past timely filing is worth less effort than a 95-day high-dollar denial with an appeal window closing in twelve days. • Better approach: Triage by recovery probability and deadline proximity, not by age alone. |
The Behavioral Health Revenue Cycle: Where Money Gets Stuck
Scheduling → Eligibility → Authorization → Documentation → Charge Capture → Coding → Claim Creation → Claim Submission → Payer Adjudication → Payment Posting → Denial Management → Appeals → Patient Collections → Final Resolution
Each stage can create A/R, and each creates it differently. The table below maps what goes wrong, how long it stays hidden, who owns it, and which metric exposes it.
Stage | What Goes Wrong | How It Creates A/R | Owner | KPI That Exposes It |
|
Scheduling | Incomplete demographics, wrong payer captured | Claim rejects or routes to the wrong payer weeks later | Front office | Clean claim rate |
|
Eligibility | Coverage not verified, or verified too far in advance | Denial after service, often unrecoverable from the payer | Front office | Eligibility denial rate |
|
Authorization | Missing, expired, or unit-exhausted authorization | Full claim denial; frequently not appealable | Intake / clinical admin | Authorization denial rate |
|
Documentation | Note does not support the service or level billed | Denial on review, or recoupment months later | Clinical | Documentation deficiency rate |
|
Charge capture | Session delivered but never charged | Revenue never enters A/R at all — invisible in aging reports | Clinical / billing | Charge lag, unbilled encounter count |
|
Coding | Wrong code, modifier, or unit count | Denial, downcoding, or underpayment | Coding | Coding accuracy rate |
|
Claim creation | Missing required fields, incorrect POS | Front-end rejection before adjudication | Billing | Claim acceptance rate |
|
Claim submission | Delayed submission, clearinghouse rejection unworked | Claim ages before the payer ever sees it | Billing | Submission lag |
|
Payer adjudication | Processing delays, pended claims, requests for information | Claim sits in limbo without follow-up | Billing / A/R | Days in A/R by payer |
|
Payment posting | Payment posted without variance review | Underpayments go undetected indefinitely | Billing | Underpayment rate |
|
Denial management | Denials worked individually without root-cause analysis | Same denial recurs every month | A/R / RCM lead | Initial denial rate |
|
Appeals | Deadline missed, or appeal filed without supporting documentation | Permanently lost revenue | A/R | Appeal success rate |
|
Patient collections | Statements not sent, balances not followed up | Patient A/R ages quietly alongside insurance A/R | Patient accounts | Patient collection rate |
|
EXPERT INSIGHT The Stage Most Practices Overlook • Charge capture is the only stage where revenue never enters A/R at all. A session delivered but never charged does not appear on an aging report, does not generate a denial, and does not show up in any collection metric. Our billing specialists routinely reconcile scheduled encounters against submitted claims specifically because this category of loss is invisible to every standard A/R report. | |||||
The Five Types of Behavioral Health A/R
Not all outstanding revenue is the same kind of problem. Sorting A/R into these five categories changes what you do with it.
A/R Type | Typical Cause | Risk Level | Recommended Action | KPI to Monitor |
Preventable A/R | Eligibility errors, missing authorization, registration gaps, incomplete information | High | Fix the front-end process — working these claims individually does not stop recurrence | Clean claim rate, front-end denial rate |
Recoverable A/R | Correctable denials, appealable determinations, resubmittable claims | Moderate | Work systematically by denial reason, prioritizing appeal deadlines | Appeal rate, appeal success rate |
Delayed A/R | Valid claims stuck in payer processing or internal follow-up queues | Moderate | Verify claim receipt and status; escalate through payer channels | Days in A/R, payment lag |
Underpaid A/R | Claim paid, but below the contracted or expected allowed amount | Often invisible | Run payment variance review against contracted rates | Underpayment rate, net collection rate |
High-Risk A/R | Approaching timely filing, appeal deadlines, or with unresolved authorization barriers | Critical | Triage immediately — recovery window is closing | 90+ day A/R %, timely filing exposure |
The practical value of this framework: preventable A/R requires a process fix, not a collections effort. Working those claims individually recovers some revenue while guaranteeing the same claims reappear next month.
How to Read a Behavioral Health A/R Aging Report
Aging Bucket | What It Usually Means | Primary Question | Recommended Action | Escalation |
0–30 days | Normal adjudication window for most payers | Were claims submitted promptly after the encounter? | Monitor submission lag; confirm claims were accepted | Routine |
31–60 days | Processing delay or unnoticed front-end rejection | Has the payer confirmed receipt of this claim? | Verify claim status; work clearinghouse rejections | Low |
61–90 days | Something has gone wrong and has not been addressed | What is the actual claim status, and why has it not paid? | Active follow-up; identify denial or pend reason | Elevated |
91–120 days | Denial, pend, or follow-up failure that has compounded | Is this recoverable, and what is the deadline? | Triage by recovery probability and deadline proximity | High |
121–180 days | Approaching or past several payers' appeal windows | Is the appeal or correction window still open? | Immediate escalation on anything still actionable | Critical |
180+ days | Recovery increasingly difficult, though not automatically impossible | Is there any remaining avenue — appeal, correction, patient balance? | Evaluate case by case; document write-off decisions | Executive review |
An important caveat: claims over 90 days are not automatically uncollectible. Recoverability depends on the payer, the claim's actual status, remaining timely filing window, denial reason, appeal rights, documentation availability, authorization status, patient responsibility, and contract terms. Some 150-day claims are fully recoverable; some 60-day claims are already lost.
Find the Root Cause Before Chasing the Claim
There is a difference between working A/R and fixing A/R. A team that works two hundred aged claims each month without diagnosing why they aged will work two hundred more the following month.
Root-cause analysis means grouping aged claims by originating failure rather than by age or payer alone. Ask which stage produced them: eligibility, authorization, credentialing, coding, documentation, telehealth configuration, claim submission, payer processing, denial handling, appeals, payment posting, underpayment detection, or patient collections.
When a single category accounts for a disproportionate share of your aged inventory, that is your highest-return fix — and it is almost always a process change rather than a collections effort.
A/R Leakage Scorecard
Use this as a diagnostic, working through each category to locate where revenue is escaping. Thresholds are intentionally left to your own baseline — published industry benchmarks vary by practice size, payer mix, and methodology, and applying someone else's threshold to your practice produces misleading conclusions.
Leakage Category | What to Measure | Warning Sign | Root-Cause Question | Corrective Action |
Eligibility leakage | Share of denials traced to eligibility issues | Rising trend or concentration in one payer | Are we verifying close to the date of service, or at scheduling only? | Move verification to within 48 hours of the appointment |
Authorization leakage | Denials citing missing or expired authorization | Any recurring pattern by service type | Do we track authorization units and expiration dates actively? | Build an authorization expiration dashboard |
Documentation leakage | Claims denied or downcoded for insufficient documentation | Concentration by provider or service type | Do notes independently support the level billed? | Provider-specific documentation feedback |
Coding leakage | Coding-related denials and downcoding events | Pattern by code or provider | Is coding driven by documentation or by habit? | Pre-bill coding QA on sampled claims |
Submission leakage | Claims not submitted within target days of service | Growing charge lag or submission lag | Where do claims sit between encounter and submission? | Daily encounter-to-claim reconciliation |
Denial leakage | Denials never worked or worked past deadline | Aged denial inventory growing | Who owns denial follow-up, and by when? | Named ownership with deadline tracking |
Underpayment leakage | Payments below contracted rate | Any variance detected on sampling | Are we comparing paid amounts to contracted rates? | Automated expected-vs-actual comparison |
Patient balance leakage | Patient balances aging without statements or follow-up | Growing patient A/R alongside insurance A/R | Is there a defined patient collection cadence? | Structured statement and follow-up schedule |
Credentialing leakage | Claims denied for provider enrollment or credentialing status | Any denials tied to a specific provider | Are all providers currently credentialed with all billed payers? | Credentialing expiration tracking |
The 90+ Day A/R Triage Model
Working the oldest claims first is intuitive and usually wrong. This model prioritizes by recovery value rather than age.
Priority | Claim Characteristics | Immediate Action | Owner | Timeframe |
Priority 1 | High dollar value AND approaching timely filing or appeal deadline | Work immediately today; escalate to payer rep if needed | A/R lead | Same day |
Priority 2 | Denial with clear, correctable cause and open deadline | Correct and resubmit in batch by denial reason | A/R specialist | 72 hours |
Priority 3 | High dollar value, no adjudication response from payer | Verify receipt and claim status directly with payer | A/R specialist | 1 week |
Priority 4 | Moderate value, correctable, deadline comfortable | Batch by payer and denial type for efficiency | A/R specialist | 2 weeks |
Priority 5 | Low dollar value, high effort, low recovery probability | Evaluate cost-to-collect before investing time | A/R lead review | Monthly review |
Priority 6 | Patient responsibility balances | Route to patient collection workflow | Patient accounts | Per cadence |
BEST PRACTICE Batch by Denial Reason, Not by Date • Claims sharing a denial reason usually share a correction. Working twenty claims with the same authorization denial as a batch takes a fraction of the time of working them individually across different days — and it surfaces the pattern that needs a process fix. | ||||
The A/R Recovery Decision Tree
For any claim aged past 90 days, work through this sequence:
Question | Condition | Action | Caution |
Has the payer adjudicated? | No response on file | Verify claim receipt with the payer directly | Do not resubmit blindly — a duplicate can restart the cycle |
Adjudicated — was it paid? | Paid | Compare paid amount against contracted rate | If below expected, route to underpayment review |
Adjudicated — was it denied? | Denied | Identify the specific denial reason code | Resubmitting without diagnosing reproduces the denial |
Is an appeal available? | Appeal rights exist | Confirm deadline, then assemble supporting documentation | Appeals filed without documentation rarely succeed |
Is timely filing still open? | Window open | Prioritize by remaining days | Once closed, the revenue is generally unrecoverable |
Is correction permitted? | Correctable error | Correct and resubmit as a corrected claim | Verify the payer's corrected claim process |
Is it an authorization issue? | Auth missing or expired | Determine if retroactive authorization is possible | Many payers do not authorize retroactively |
Is it patient responsibility? | Patient balance | Confirm statement history and balance accuracy | Verify the balance before pursuing collection |
Behavioral Health Denial Root-Cause Map
Denial Category | Why It Happens | A/R Impact | Prevention Control | Recovery Action |
Eligibility | Coverage lapsed or changed before the date of service | Often unrecoverable from the payer | Verify within 48 hours of the appointment | Check for alternate coverage; bill patient if appropriate |
Authorization | Missing, expired, or units exhausted | Frequently non-appealable | Track authorization units and expiration actively | Request retroactive auth where the payer permits |
Medical necessity | Documentation does not establish necessity for the service | Appealable with supporting records | Documentation templates prompting necessity elements | Appeal with complete clinical documentation |
Coding | Incorrect code, unit count, or code combination | Usually correctable | Pre-bill coding QA | Correct and resubmit |
Modifier | Missing or inappropriate modifier | Usually correctable | Modifier logic driven by service characteristics | Correct and resubmit |
Telehealth | POS or modifier inconsistent with payer telehealth policy | Correctable if caught early | Payer-specific telehealth requirement matrix | Correct per that payer's policy |
Duplicate claim | Resubmission without voiding the original | Adds processing delay | Resubmission controls in the billing system | Void the duplicate; confirm original status |
Timely filing | Claim submitted past the payer's filing window | Generally unrecoverable | Submission lag monitoring | Appeal only with proof of timely original submission |
Provider enrollment | Provider not enrolled with the payer for the service | May be recoverable with retroactive enrollment | Enrollment verification before scheduling new payers | Pursue retroactive enrollment where available |
Credentialing | Credentialing lapsed or incomplete | Varies by payer | Credentialing expiration dashboard | Rebill after credentialing is restored if permitted |
Documentation | Records not provided or insufficient on request | Recoverable if records exist | Records request tracking | Submit complete records within the deadline |
Coordination of benefits | Primary payer not billed first, or COB not updated | Correctable | COB verification at registration | Bill correct primary, then secondary |
Telehealth and Behavioral Health A/R
Behavioral health has among the highest telehealth utilization of any specialty, which means telehealth configuration errors compound quickly across large claim volumes.
Areas that commonly introduce A/R risk:
• Place of service selection — whether the patient's location was captured and correctly translated to POS
• Modifier requirements — which vary by payer and by whether the encounter was audio-video or audio-only
• Payer-specific telehealth policies — coverage, modality restrictions, and documentation expectations differ meaningfully between payers
• Eligibility — telehealth benefit coverage is not always identical to in-person benefit coverage
• Documentation — the modality actually used must be documented, not assumed from the appointment type
• Credentialing and state considerations — provider licensure and payer enrollment relative to the patient's location
• Authorization — some payers apply different authorization requirements to telehealth services
Billing requirements vary by payer, service, jurisdiction, and date of service. Verify current payer-specific telehealth policy rather than applying one configuration universally.
Prior Authorization as an A/R Control
Authorization is commonly treated as an administrative checkbox completed before the first session. Treated that way, it becomes one of the largest sources of preventable behavioral health A/R — because behavioral health authorizations are unit-limited and date-bounded in ways that most other specialties' authorizations are not.
Lifecycle Stage | What to Manage | Why It Matters for A/R |
Request | Submit with complete clinical justification | Incomplete requests generate avoidable delays and denials |
Approval | Capture authorization number, approved services, unit count, date range | Partial capture is why authorizations later appear valid but claims deny |
Service delivery | Confirm the service delivered matches what was authorized | Service drift from the authorized plan produces denials |
Utilization monitoring | Track units consumed against units approved | Exhausted units are a leading behavioral health denial cause |
Expiration tracking | Monitor date ranges proactively | Expired authorizations are usually not recoverable retroactively |
Renewal | Initiate before expiration, not after | A gap between authorizations creates unbillable sessions |
Documentation | Link the authorization to the encounter record | Disconnected records complicate appeals |
Claim submission | Include authorization data as required by the payer | Missing auth data on the claim triggers denial despite valid authorization |
Payment verification | Confirm the claim paid against the authorized units | Closes the loop and surfaces systemic issues |
Every authorization record should capture: authorization number, approved services, number of visits or units, date range, expiration date, payer, provider, and patient. Partial capture is why practices discover valid authorizations attached to denied claims.
Payer-Specific A/R Analysis
A practice-wide A/R figure averages away payer-specific problems. One payer processing slowly or denying at an elevated rate can be entirely obscured by strong performance elsewhere.
Break A/R down by payer across: days to payment, denial rate, appeal success rate, average claim age, underpayment rate, 90+ day A/R share, claim acceptance rate, and average reimbursement.
Payer | Days to Payment | Denial Rate | 90+ Day A/R % | Underpayment Rate |
Payer A | Illustrative | Illustrative | Illustrative | Illustrative |
Payer B | Illustrative | Illustrative | Illustrative | Illustrative |
Payer C | Illustrative | Illustrative | Illustrative | Illustrative |
Medicaid MCO | Illustrative | Illustrative | Illustrative | Illustrative |
Illustrative dashboard structure only — populate with your own data. We have deliberately not inserted sample figures, because fabricated payer performance numbers would be both unverifiable and potentially misleading.
Underpayments: The A/R Problem Many Practices Miss
A paid claim is not necessarily a correctly paid claim. Underpayments produce no denial, no rejection, and no aging — they simply reduce collections quietly and permanently.
The comparison that matters:
• Expected allowed amount, per the contracted fee schedule
• Actual allowed amount, per the remittance
• Patient responsibility applied
• Payment received
• Variance between expected and actual
Illustrative example: if a contracted rate for a service is $150 and the remittance shows an allowed amount of $128 with no documented adjustment reason, that $22 variance repeats on every instance of that service until someone detects it. Across a high-volume behavioral health practice, a small per-claim variance becomes material quickly.
Actual reimbursement must be verified against the applicable payer contract and fee schedule. Expected amounts cannot be assumed from historical payments, because historical payments may themselves have been underpaid.
Behavioral Health A/R KPI Dashboard
KPI | Formula | Why It Matters | Trend to Watch | Owner |
Days in A/R | (Total A/R ÷ Average daily charges) | Overall collection speed | Sustained increase signals follow-up breakdown | RCM lead |
90+ Day A/R % | (A/R over 90 days ÷ Total A/R) | Concentration of at-risk revenue | Rising share indicates aging inventory | RCM lead |
Net Collection Rate | (Payments ÷ (Charges − Contractual adjustments)) | Share of collectible revenue actually collected | Decline suggests write-offs or underpayments | CFO / RCM lead |
Gross Collection Rate | (Payments ÷ Total charges) | Raw collection ratio before adjustments | Less meaningful alone; use alongside net | CFO |
Clean Claim Rate | (Claims accepted without edit ÷ Total claims) | Front-end accuracy | Decline points to registration or coding issues | Billing manager |
Claim Acceptance Rate | (Accepted claims ÷ Submitted claims) | Front-end rejection volume | Drops often trace to a system or payer change | Billing manager |
Initial Denial Rate | (Denied claims ÷ Claims adjudicated) | First-pass denial volume | Spikes usually have a single identifiable cause | RCM lead |
Appeal Rate | (Appeals filed ÷ Denials received) | Whether denials are being worked at all | Low rate may mean denials are being abandoned | A/R lead |
Appeal Success Rate | (Overturned appeals ÷ Appeals filed) | Effectiveness of appeal process | Low rate may mean weak documentation or invalid appeals | A/R lead |
Charge Lag | Days from encounter to charge entry | Speed of revenue entering the cycle | Growing lag delays everything downstream | Clinical / billing |
Submission Lag | Days from charge entry to claim submission | Internal processing speed | Directly extends Days in A/R | Billing manager |
Patient Collection Rate | (Patient payments ÷ Patient responsibility) | Patient balance performance | Decline signals statement or follow-up gaps | Patient accounts |
Underpayment Rate | (Underpaid claims ÷ Paid claims) | Hidden revenue loss | Requires deliberate review to detect at all | RCM lead |
We have not published target values for these metrics. Published benchmarks vary considerably by practice size, payer mix, service type, and the methodology used to calculate them. Establish your own baseline, then measure direction of travel — a practice moving from its own poor baseline toward improvement is more meaningful than comparison against an unverified external number.
Financial Impact: An Illustrative Model
The following is an illustrative example to demonstrate the calculation structure. It does not represent a typical behavioral health practice and is not based on published benchmark data.
Illustrative Example — Not Representative Data • Total A/R: $300,000 • Share in 90+ days: 20% • 90+ day A/R: $60,000 • If a portion of that is preventable A/R, the recovery opportunity is only part of the value — the larger value is stopping the same category from recurring monthly • Recovery modeling requires your own inputs: starting A/R, 90+ day percentage, monthly charges, historical collection rate on aged claims, and the cost of the recovery effort itself |
We do not publish expected recovery percentages or guaranteed savings. Actual recovery depends on payer mix, denial composition, timely filing exposure, documentation availability, and how much of the aged inventory is genuinely recoverable versus already lost.
The 90-Day Behavioral Health A/R Recovery Roadmap
Phase | Objective | Actions | KPI | Expected Operational Result |
Days 1–15: Diagnose | Understand A/R composition | Segment by type, payer, age, and dollar value; identify timely filing risk | 90+ day A/R % | Clear picture of where revenue is stuck |
Days 16–30: Stabilize | Stop new leakage | Assign ownership, set follow-up cadence, fix eligibility and authorization workflow | Clean claim rate | New claims stop aging at the prior rate |
Days 31–60: Correct | Recover what is recoverable | Work triaged claims by priority, resolve recurring denial causes, audit coding | Appeal success rate | Aged inventory reduced, root causes addressed |
Days 61–90: Optimize | Make improvement permanent | Compare KPI trends, review payer performance, establish governance cadence | Days in A/R | Sustained performance rather than a one-time cleanup |
Note the framing of the final column: operational results, not financial guarantees. A structured 90-day effort reliably improves process visibility and control. The financial outcome depends on what the diagnosis actually finds.
AI and Automation in Behavioral Health A/R
Automation handles volume and pattern detection well. Appropriate applications include A/R prioritization and worklist generation, denial categorization, authorization expiration alerts, eligibility monitoring, claim status checks, payment variance detection, pattern recognition across denials, and reporting.
What automation does poorly is judgment under ambiguity — which is most of what makes behavioral health billing difficult.
What Should Never Be Automated Without Human Review
Decision Type | Why Human Review Is Required |
Complex coding decisions | Behavioral health coding involves service duration, modality, and clinical context that automation interprets poorly |
Medical necessity disputes | Requires clinical judgment about what documentation actually demonstrates |
Appeals | Effective appeals require constructing an argument from specific records, not template language |
Compliance decisions | Anything with audit or regulatory exposure requires accountable human judgment |
Documentation interpretation | Determining whether a note supports a level is an expert judgment, not a keyword match |
Contract interpretation | Payer contract language frequently requires legal or contracting expertise |
High-dollar claims | The cost of an automated error scales with claim value |
Potential fraud, waste, or abuse concerns | Requires immediate escalation to qualified compliance personnel |
Unusual payer requests | Non-standard requests may signal audit activity requiring careful handling |
Behavioral Health A/R Audit Checklist
Daily
☐ Work clearinghouse rejections before they age
☐ Review authorization expirations occurring within the next 14 days
☐ Reconcile yesterday's encounters against charges entered
Weekly
☐ Review new denials by category and assign ownership
☐ Work Priority 1 and Priority 2 triage claims
☐ Review claims approaching timely filing deadlines
☐ Verify eligibility for the coming week's scheduled patients
Monthly
☐ Analyze A/R composition across the five categories
☐ Review payer-specific performance metrics
☐ Sample payment variance against contracted rates
☐ Review patient balance aging and statement cadence
☐ Audit a sample of claims for coding and documentation accuracy
Quarterly
☐ Review credentialing status and expirations across all payers
☐ Reassess payer contract terms against actual reimbursement
☐ Review denial root-cause trends over the full quarter
☐ Evaluate whether process fixes implemented last quarter held
☐ Reassess whether the current billing model still fits the practice
When Should a Practice Consider Outsourcing?
Outsourcing is one option among several, and it is not automatically the right one. The table below compares realistic models.
Model | Cost Structure | Strengths | Limitations | Best Fit |
In-house billing | Fixed salary and benefits | Direct oversight, institutional knowledge | Limited by staffing depth; vulnerable to turnover | Small practices with stable, simple payer mix |
In-house plus technology | Software cost plus staff | Better visibility and automation of routine tasks | Still limited by internal expertise depth | Practices with capable staff needing better tools |
Hybrid model | Split cost structure | Internal control over front end, external A/R depth | Requires clear division of responsibility | Practices strong at intake but struggling with A/R |
Full outsourced RCM | Typically percentage-based or per-claim | Specialty expertise, scalability, dedicated follow-up | Requires governance and reporting discipline | Growing practices or those with persistent aged A/R |
The right model depends on practice size, payer mix complexity, internal expertise, claim volume, existing technology, and operational capacity. A practice with strong internal staff and a simple payer mix may be well served in-house indefinitely. A practice with persistent aged A/R that internal staff cannot reduce despite effort is signaling a capacity or expertise gap that more effort alone will not close.
MedCloudMD's Approach
Our behavioral health billing experts and certified coding professionals support practices with claim submission, denial management, A/R follow-up, authorization tracking, eligibility verification, credentialing support, payment posting, underpayment identification, revenue-cycle reporting, and human quality assurance within HIPAA-conscious workflows.
We do not claim that every practice reaches a particular Days in A/R target. What we commit to is transparent process, measurable KPIs, and root-cause reporting that shows where revenue was getting stuck and what changed.
Your Behavioral Health A/R Action Plan
Today
• Pull your A/R aging report and segment it by the five A/R types
• Identify any claims within 30 days of a timely filing or appeal deadline
This Week
• Group aged denials by denial reason and identify the top three categories
• Assign named ownership for each denial category with a follow-up deadline
• Verify eligibility workflow timing — are you checking close to the date of service?
This Month
• Run a payment variance sample against contracted rates
• Build or verify your authorization expiration tracking
• Reconcile a month of scheduled encounters against submitted claims
Within 90 Days
• Complete the diagnose-stabilize-correct-optimize sequence
• Establish a permanent governance cadence using the audit checklist above
• Compare your KPI baseline against where you started
Frequently Asked Questions
What causes high A/R in behavioral health billing?
Most commonly: authorization gaps and expirations, eligibility errors discovered after service, documentation that does not support the billed service, telehealth configuration errors, delayed claim submission, and denials that are never systematically worked. Behavioral health is particularly exposed because of unit-limited authorizations and high session volume.
What percentage of behavioral health A/R should be over 90 days?
Published benchmarks vary by practice size, payer mix, and calculation methodology, so applying an external figure to your practice can mislead. A more reliable approach is establishing your own baseline and tracking direction of travel, while segmenting the 90+ bucket by recoverabiclity rather than treating it as one number.
How do you reduce behavioral health A/R?
Diagnose before collecting. Segment A/R by type, identify which revenue-cycle stage produces the most preventable A/R, fix that process, then triage aged claims by recovery probability and deadline proximity rather than by age.
How should a behavioral health practice prioritize 90+ day claims?
By a combination of dollar value, deadline proximity, denial type, and recovery probability. High-dollar claims approaching timely filing or appeal deadlines come first. Low-value, high-effort claims with low recovery probability should be evaluated against cost-to-collect.
What causes behavioral health claim denials?
Frequent categories include missing or expired authorization, eligibility issues, medical necessity determinations, coding and modifier errors, telehealth configuration mismatches, timely filing, provider enrollment and credentialing gaps, and coordination of benefits problems.
How do prior authorization problems affect behavioral health A/R?
Significantly, because behavioral health authorizations are typically unit-limited and date-bounded. Units exhaust mid-treatment and date ranges expire between sessions, producing denials that are frequently not recoverable retroactively — which makes authorization a prevention problem rather than a collections problem.
How can behavioral health practices improve collections?
Verify eligibility close to the date of service, track authorization units and expirations actively, reconcile encounters against charges to catch unbilled services, review payments against contracted rates to detect underpayments, and work denials by root cause rather than individually.
How often should behavioral health A/R be reviewed?
Rejections and authorization expirations warrant daily attention. Denials and high-priority aged claims warrant weekly review. A/R composition, payer performance, and payment variance warrant monthly analysis. Credentialing, contracts, and trend analysis warrant quarterly review.
What KPIs should behavioral health practices track?
At minimum: Days in A/R, 90+ day A/R percentage, net collection rate, clean claim rate, initial denial rate, appeal success rate, charge lag, submission lag, underpayment rate, and patient collection rate — each with named ownership.
When should a behavioral health practice consider outsourcing billing?
When aged A/R persists despite genuine internal effort, when claim volume exceeds internal capacity, when payer mix complexity exceeds internal expertise, or when the practice lacks the reporting visibility to diagnose its own revenue cycle. Outsourcing addresses capacity and expertise gaps; it does not substitute for process discipline.
Last reviewed: September 2026
Payer policies, billing requirements, and reimbursement rules change over time and vary by payer, plan, state, service, and provider type. Verify current requirements before making billing decisions.
Disclaimer
This article is provided for general educational and informational purposes only and does not constitute legal, medical, coding, billing, reimbursement, or financial advice. Behavioral health billing requirements, payer policies, authorization rules, telehealth coverage, and reimbursement terms vary by payer, plan, jurisdiction, provider type, and individual circumstances, and change over time. All financial figures in this article are illustrative examples only and do not represent typical results, benchmarks, or guaranteed outcomes. Practices should verify current requirements with applicable payers and qualified professionals before making billing or operational decisions. MedCloudMD does not guarantee reimbursement, claim approval, collection results, or specific financial outcomes.v




Comments