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How to Reduce Behavioral Health A/R Over 90 Days

Writer: Med Cloud MD
Med Cloud MD
Jun 22
19 min read

Updated: Sep 17

Blue slide with masked coworkers meeting and large text about reducing behavioral health A/R over 90 days.

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

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