KPIs for Medical Billing: A Small Neurology Practice Guide

By Jill WillardCo-Founder, Scryber

Key takeaways

• Start with five billing KPIs: clean claim rate, denial rate, days in A/R, net collection rate, and E&M level distribution.
• Review neurology claims by payer and service type, including EEG, EMG, Botox, and infusions, rather than treating one practice-wide number as the whole story.
• Separate clearinghouse rejections from payer denials, and investigate authorization, claim-data, and documentation problems separately.
• Review possible undercoding against medical decision-making or applicable time criteria, not the length or detail of the examination alone.
• The targets and revenue examples below are illustrative planning tools, not verified neurology benchmarks or expected Scryber results.

The KPIs for medical billing that matter most in a small neurology practice are clean claim rate, denial rate, days in A/R, net collection rate, and E&M level distribution. Track these five monthly, then use A/R over 90 days and cost to collect as supporting measures. Watch how your payer mix and EEG, EMG, and infusion workflows affect each number before deciding what needs to change.

Which KPIs for medical billing actually matter in a small neurology practice?

Thirty metrics on a dashboard can make it harder to decide what to work on. In a 1–10 provider neurology group, start with five measures that connect claim submission, payment delays, collections, and coding review. They are a starting scorecard, not a guarantee that every source of revenue loss is covered.

The five KPIs to put on a monthly scorecard

These thresholds are examples for setting up an internal review, not MGMA benchmarks or neurology-specific performance standards. Adjust them to your reporting definitions, payer contracts, service mix, and historical performance. Do not compare two reports until their numerator, denominator, and measurement period match.

Why specialty mix changes your targets

A neurology practice with a large Medicare population, EEG and EMG services, and infusions may have different payment patterns from a primary care practice. Authorization requirements also vary by payer and service. Split the scorecard by payer and service line when a practice-wide number changes; [Scryber's neurology billing guide](/neurology-billing) explains how documentation and billing workflows connect.

How do you calculate and benchmark clean claim rate?

Formula and worked example

For this scorecard, clean claim rate means claims accepted by the clearinghouse on the first submission without corrections, divided by total claims submitted, multiplied by 100. Acceptance does not mean the payer has approved or paid the claim. Record your clearinghouse's definition because another report may use “clean claim” differently.

In a hypothetical month, your practice submits 800 claims and 61 require corrections before acceptance. The calculation is (800 − 61) ÷ 800 × 100 = 92.4%. If your practice has chosen a 95% internal review threshold, investigate the repeated errors rather than treating the threshold as a universal pass/fail standard.

What a low rate can hide in neurology

Check which rejection codes recur each month. Potential problems include missing or inconsistent authorization information where required, invalid patient or insurance data, and procedure or modifier errors. An approved authorization does not remove the need to meet the payer's claim-submission rules.

For EEG and EMG, check the billed service, applicable modifiers, diagnosis information, and payer requirements rather than assuming all procedure codes are side-specific. Laterality may matter in diagnosis coding, clinical documentation, or payer-specific edits. Have the billing team review the actual rejection before changing a code.

Capturing relevant clinical detail at the encounter can help the clinician and biller review a claim. [Scryber's neurology-specific documentation flow](/neurology-medical-scribe) supports note preparation, but this does not establish that it captures authorization numbers, validates eligibility, or scrubs claims. Those checks remain separate workflow responsibilities.

What is a healthy denial rate, and which denials are neurology-specific?

Denial rate formula and reporting period

For a first-pass claim-count measure, divide claims initially denied by claims adjudicated in the same reporting cohort, then multiply by 100. Do not count a clearinghouse rejection as a payer denial. Track partial denials or line-level denials separately if your system reports them that way.

A submitted-claim denominator can also be used for a submission-cohort report, but label it clearly and allow time for adjudication before comparing periods. Track initial denials separately from balances still unpaid after appeal. The example 5% review threshold above is an internal planning choice, not proof that a practice above it has a broken process.

Prior-authorization denials

Botox and infusion claims may encounter authorization issues such as an expired approval, a mismatch between approved and billed units, or a service requiring approval that was not obtained. Review the specific payer's requirements, dates, service, and units. A good clinical note alone does not resolve a missing authorization.

If authorization issues are a recurring denial category, [neurology infusion billing workflows](/neurology-infusion-billing) deserve a dedicated review. Assign ownership for checking approval before treatment and checking claim details before submission. Record the cause rather than assuming every authorization denial was preventable.

Technical versus professional component denials

For services that allow separate professional and technical billing, review whether modifier 26 or TC applies and which entity provided each component. Do not apply these modifiers to every EEG or EMG code; component billing depends on the code, setting, and payer policy. Review duplicates, units, and component responsibilities with the billing team.

Audit a small sample of denied claims each month and tag the root cause. Increase the sample when you find a repeated pattern. Use your own results rather than assuming that three categories explain a fixed percentage of every practice's denials.

How should you read A/R aging when your payer mix is skewed?

Days in A/R and A/R over 90 days

Days in A/R = total accounts receivable ÷ average daily charges. Calculate average daily charges from charges, not cash collections, using a consistent lookback period and reporting method. Mixing monthly collections with a charge-based denominator produces a different and potentially misleading measure.

In a hypothetical 30-day month with $180,000 in charges, average daily charges are $6,000. If total A/R is $114,000, days in A/R is $114,000 ÷ $6,000 = 19 days. This is an arithmetic example, not a practice outcome.

A/R over 90 days (%) = A/R older than 90 days ÷ total A/R × 100. Use the same aging basis across months, such as date of service or invoice date, and state it on the report. A practice might choose 15% as an internal review threshold, but that is not a verified universal benchmark.

Why payer mix moves the interpretation

For another hypothetical example, $42,000 older than 90 days out of $150,000 total A/R equals 28%. Before changing your billing workflow, split that balance by payer and service. If $30,000 belongs to two workers' compensation carriers, check the claim status, applicable deadlines, and follow-up history before deciding on the next action.

If the balance instead consists of infusion authorization denials, work the authorization and appeal issues directly. A documentation tool cannot resolve every cause of an unpaid claim. Use the [AR aging report guide](/resources/ar-aging-report) alongside this scorecard to turn older balances into a specific follow-up list.

Is undercoding costing you more than denials?

E&M distribution as a KPI

Pull your E&M level distribution for the last 90 days and show each code as a percentage of encounters. Compare with your own patient mix, visit types, documented medical decision-making, and applicable time records. A concentration at 99213 or 99214 is a reason to review a sample, not proof of undercoding.

CMS's E/M guidance explains that most E/M visit families use medical decision-making or practitioner time for level selection. A medically appropriate history and exam should be documented, but history and exam no longer determine the visit level. More cranial nerve findings, localization detail, or longer notes do not by themselves justify 99215.

Worked example: a hypothetical coding review

Suppose a practice bills 400 established-patient visits each month at 99214. Assume a qualified coding review finds that 20%, or 80 visits, actually meet the applicable requirements for 99215, and assume a $75 difference in collected payment per visit. The modeled difference is 80 × $75 = $6,000 per month, or $72,000 over 12 identical months.

The 20% share and $75 difference are assumptions, not measured findings, current fee-schedule quotes, or a promise of additional revenue. Use actual payer contracts, supported codes, and expected collections for a practice-specific model. The figure represents potential gross revenue, not profit, and excludes incremental costs.

You cannot conclude that undercoding costs more than denials without measuring both in your own practice. A denial rate counts claims, while the model above estimates dollars. Compare recoverable dollar amounts, collection likelihood, and the work needed to resolve them.

This is not about upcoding

The goal is to document the service actually provided and select the supported code, not increase levels to reach a revenue target. A qualified reviewer should assess the applicable coding requirements. [Scryber's migraine documentation guide](/ai-scribe-for-migraine) describes capturing clinical detail, but that detail is not a substitute for medical decision-making or time criteria.

What do net collection rate and cost to collect tell you?

Net collection rate formula

Net collection rate = payments collected ÷ (charges − contractual adjustments) × 100. Align payments and adjustments with the relevant charge cohort where possible, or use a defined rolling method that accounts for collection lag. Comparing this month's receipts with unrelated charges can distort the result.

In a hypothetical matched cohort, charges are $120,000, contractual adjustments are $40,000, and collections are $72,000. The result is $72,000 ÷ $80,000 × 100 = 90%. If the practice has chosen 95% as an internal target, review the remaining balances rather than assuming the whole difference is collectible payer debt.

Check patient responsibility, pending appeals, timely filing issues, write-offs, and the age of each balance. Compare payer allowed amounts with the contract fee schedule. Keep contractual adjustments separate from other write-offs so the calculation does not hide collection problems.

Cost to collect

Cost to collect (%) = (billing staff cost + software + clearinghouse fees + other included billing costs) ÷ payments collected × 100. Define which costs are included and keep that definition consistent. Include outsourced billing costs when they are part of your collection operation.

A hypothetical practice spending $5,500 monthly on included billing costs against $72,000 collected has a cost to collect of 7.6%. That example does not establish an industry target. Read the measure alongside net collection rate and aging; a low cost can still leave claims unworked.

How do you turn these KPIs into a monthly review that takes 20 minutes?

A one-page monthly scorecard

Start with the same five measures on the first business day of each month. Make sure the report includes the reporting period, denominator definition, prior-month result, and assigned owner. Use the same calculation each month so a trend reflects performance rather than a report change.

1. Review clean claim rate and the most common correction reasons.
2. Review first-pass payer denials by reason, payer, and service.
3. Review days in A/R, then the supporting balance over 90 days.
4. Review net collection rate using a consistent cohort or rolling method.
5. Review E&M level distribution and select a sample for coding review when the mix changes.

Set your own action thresholds, then assign one specific follow-up for each exception. Examples include checking a payer's claim-data requirement, reviewing an authorization workflow, or working a group of aged balances. Use the [medical billing denial-code guide](/resources/top-10-denials-in-medical-billing-with-code) to connect adjustment reasons to the appropriate review.

Documentation is one upstream factor, not the whole fix

Incomplete documentation can make medical necessity and coding review harder. Eligibility, authorization, claim submission, payer processing, and follow-up also affect the scorecard. Fixing a note will not automatically resolve those separate problems.

Use the KPI that changed to find a claim sample and identify the actual cause. Then decide whether the action belongs with the clinician, biller, authorization staff, or payer follow-up process. Review the result the next month instead of assuming the intervention worked.

Can an AI scribe improve your billing KPIs?

An AI scribe may help indirectly by preparing a more complete draft note for clinician review. That can support documentation and coding workflows, but it does not guarantee higher coding levels, fewer denials, or payment. The clinician remains responsible for reviewing the note and the service billed.

What to compare beyond transcription

Compare tools on specialty-specific note capture, coding suggestions, revenue visibility, workflow fit, and predictable pricing. Scryber combines Transcryber's neurology-focused documentation with Visualyzer's payment visibility and included Coding Reviewer. It offers a 60-day free trial, then $85 per user per month.

Use your own encounters and billing reports to assess a tool. Check whether the product performs a workflow directly or only supplies documentation that staff must review. See [Scryber's revenue visibility guide](/neurology-revenue-visibility) for the distinction between documenting a visit and following its payment.

Where Scryber falls short

Scryber does not replace a biller's claim corrections, payer calls, or authorization checks. Its neurology focus may be less useful to a practice that needs one documentation workflow across many specialties. Evaluate the note and coding suggestions against your own work before drawing financial conclusions.

FAQ

What is a good denial rate for a neurology practice?

There is no single verified neurology benchmark established by this article. Define whether you are counting initial claim denials, denied lines, or unpaid balances after appeal, then compare like-for-like periods. Use your own payer and service mix to set an internal review threshold and investigate recurring reasons.

How many medical billing KPIs should a small practice track?

Start with five: clean claim rate, denial rate, days in A/R, net collection rate, and E&M level distribution. Add A/R over 90 days and cost to collect as supporting measures when they help answer a specific question. Documentation is one influence, alongside eligibility, authorization, payer processing, and collections follow-up.

What is the difference between net collection rate and gross collection rate?

Gross collection rate divides payments by total charges, without removing contractual adjustments. Net collection rate divides payments by charges minus contractual adjustments, using a consistent reporting cohort or method. Keep other write-offs separate and investigate the remaining balances before assuming every dollar is collectible.

How do I calculate days in accounts receivable?

Divide total accounts receivable by average daily charges, not average daily collections. For example, $180,000 in charges over 30 days gives $6,000 in average daily charges; $114,000 in A/R then equals 19 days. Use a consistent lookback period and review older balances by payer.

Do AI scribes really reduce claim denials?

An AI scribe may support better documentation for clinical and coding review, but a reduction in denials must be measured rather than assumed. It cannot resolve every eligibility, authorization, submission, or payer problem. Review claim-level causes and compare consistent reporting periods before attributing a change to any tool.