Top 10 AI Use Cases in Medical Billing and Patient Collections

Introduction

A CFO at a 40-location specialty group pulls up the accounts receivable aging report 2 weeks before a board meeting. The current and 30-day buckets look normal. The 90-plus-day bucket, almost entirely patient balances, has grown for 3 straight quarters, and the central billing team cannot call every patient who owes.

Patients are not refusing to pay. They miss statements in the mail, forget a balance that arrives weeks after a visit, or give up on a question about a charge after sitting on hold. None of that shows up in a revenue cycle dashboard until the balance has aged past the point where collecting it gets harder and more expensive.

That gap between a delivered service and a collected balance is where AI in medical billing has moved fastest. This guide covers 10 use cases, how Confido Health handles each one, and where the broader market stands, so a CFO can decide where AI reduces write-offs first.

Why AI in Medical Billing Is Becoming a CFO Priority

Unpaid medical debt is well documented by federal sources, not just vendors. A 2022 Consumer Financial Protection Bureau report found that medical bills made up about 58% of all past-due debt on credit reports as of mid-2021, with an estimated $88 billion in medical debt across 43 million credit reports. This is not a handful of patients falling behind. It is a pattern every billing office faces, in every specialty.

The household side shows the same pressure. The Federal Reserve's latest survey of household economic well-being found that 26% of adults skipped some form of medical care in 2025 because of cost, and 18% carried outstanding medical debt. Another 21% faced an unexpected major medical expense in the prior 12 months, typically between $1,000 and $1,999. That is exactly the kind of surprise balance that becomes a collections problem when billing communication cannot reach the patient clearly and quickly.

For a CFO, these figures raise 2 questions. How much patient revenue goes uncollected because billing communication is slow, confusing, or never reaches the patient? And how much billing team time goes to repetitive work that does not need a person? The AI use cases worth funding answer one or both.

How We Selected These Use Cases

• Patient financial impact. Whether the use case reduces the time, confusion, or friction between receiving care and resolving a balance.
• Fit with existing billing workflows. Whether it slots into a group's current statement, reminder, and payment posting cycle instead of adding a separate system.
• Integration depth. Whether it connects to the EHR, practice management, and clearinghouse systems a group already runs.
• Measurable results. Whether documented outcomes back it up.
• Scale across locations. Whether it holds the same standard at every site.

Top 10 AI Use Cases in Medical Billing and Collections

1. Insurance Eligibility and Coverage Verification

How Confido Health Handles This

Confido Health verifies active coverage, plan details, and patient responsibility before a bill is generated, working inside the EHR and practice management systems a group already runs. Accurate verification up front carries through to cleaner claims, cleaner statements, and fewer surprise balances later. See our full breakdown in our guide to AI-driven insurance verification.

Where the Broader Market Stands

Eligibility verification is one of the most widely adopted AI use cases in billing, and most clearinghouse-connected platforms now offer coverage checks. The difference is how deeply verification connects to scheduling, billing, and patient communication instead of sitting in a separate dashboard.

2. Pre-Service and Point-of-Service Payment Collection

How Confido Health Handles This

Once coverage is confirmed, Confido Health uses the same data to tell a patient their expected copay, deductible, or coinsurance before or at the time of service, and collects it then, instead of adding it to a bill mailed weeks later. Collecting while the patient is already engaged reduces the post-service balances that would otherwise age into a collections queue.

Where the Broader Market Stands

Pre-service collection tools are increasingly bundled into patient estimation and payment platforms. Depth varies mainly in how closely an estimate reflects the patient's plan design rather than a generic benefit average.

3. Payment Plan Enrollment and Management

How Confido Health Handles This

For balances a patient cannot pay in full, Confido Health AI Teammates answer payment plan questions and enroll patients during the call or text conversation, without a hold or a transfer. The same workflow follows up on active plans, so a plan set up correctly on day 1 does not lapse unnoticed.

Where the Broader Market Stands

Payment plans and patient financing are common across patient financial engagement platforms. The difference is whether enrollment happens inside the conversation the patient is already having or requires a separate portal or form.

4. Text-to-Pay and Multichannel Payment Reminders

How Confido Health Handles This

Confido Health runs a 5-touch reminder cadence aligned to statement cycles at 7, 15, and 30 days. Each touch includes a secure payment link, and each payment sends an SMS confirmation with its own authorization code. At one 70-location ophthalmology group, AI Teammates handle more than 97% of outbound financial calls without staff.

Where the Broader Market Stands

Text-to-pay and SMS reminders are close to standard among billing communication vendors. Platforms differ most in whether a reminder is a one-way notice or a two-way conversation that can answer a question about the balance in the same exchange.

5. Outstanding Balance Outreach and Collections Follow-Up

How Confido Health Handles This

When reminders go unanswered, Confido Health moves to structured outbound collections calls on the same channel the patient has already used. The 70-location ophthalmology group started with $28.8 million in accounts receivable, 14% of it aged beyond 90 days, and a 6-person central billing team. After rollout, monthly collections grew to more than 3 times prior levels at steady state, and the same team now handles about 50% more volume.

Where the Broader Market Stands

Collections agencies and RCM analytics vendors offer their own outreach cadences and scoring models. Fewer embed that outreach inside the same conversation a patient started earlier in their billing journey, which is where continuity of tone and channel matters most.

6. Billing Inquiries and Balance Explanation

How Confido Health Handles This

Most inbound billing calls are not disputes. They come from patients who do not understand a line item, a copay, or a bill from a facility they do not recognize. Confido Health AI Teammates walk patients through their statement line by line and explain copay and deductible charges in plain language. At the ophthalmology group above, AI Teammates handle about 66% of all financial services calls, inbound and outbound, across 58,000+ calls in 11 months. Disputes and refund requests go to a billing team member.

Where the Broader Market Stands

Conversational billing support tools exist across the industry, though most work from a simplified account summary rather than the line-item statement and live EHR and practice management data a billing team uses.

7. Failed Payment Retries

How Confido Health Handles This

When a card on file declines or a scheduled payment fails, Confido Health retries the payment and contacts the patient directly, instead of letting the failure sit until a monthly reconciliation report finds it. Missed payment notices go out on the channel the patient already uses, and any dispute goes to staff.

Where the Broader Market Stands

Retry logic is common in payment processing. Pairing the retry with a direct conversation with the patient, instead of a silent backend retry, is less common and tends to recover balances faster.

8. Denial Management and Resubmission

How Confido Health Handles This

When a claim comes back denied, Confido Health AI Teammates classify the denial by reason, contact the payer to confirm what is missing, correct the claim, and resubmit it. Appeals get tracked through to resolution, so fewer denials expire before anyone works them. Cases that need clinical judgment, such as a peer-to-peer review, go to the right staff member with the full case attached. Every status change writes back to the EHR or PMS.

Where the Broader Market Stands

Revenue cycle analytics vendors also offer denial prediction, using historical claims data to flag claims likely to be denied before submission. Prediction lowers the denial rate, while resolution recovers the denials that still happen. Groups with high claim volume benefit from both.

9. Claim Readiness and Documentation Checks

How Confido Health Handles This

Many denials start before a claim is built: an inactive policy, a missing authorization, a referral that never arrived, or demographic data that does not match the payer's record. Confido Health AI Teammates close those gaps before the visit by verifying coverage, confirming authorizations and referrals, and correcting patient information in the chart. Claims then go out on clean data, and the denial patterns Confido Health sees on the back end feed into the checks it runs on the front end.

Where the Broader Market Stands

Computer-assisted coding and claims-scrubbing tools flag mismatched codes and incomplete charge capture before submission. They work best on top of clean eligibility, authorization, and patient data, which is the layer Confido Health keeps accurate.

10. Collections Prioritization

How Confido Health Handles This

Confido Health prioritizes collections outreach by balance age, amount, and patient response, so the billing team sees which accounts need a person and AI Teammates work the rest on a structured cadence. Because the same AI Teammates also work denials on the payer side, patient and payer balances move through one connected workflow instead of 2 separate queues.

Where the Broader Market Stands

Propensity-to-pay models from larger RCM analytics platforms score every self-pay account to decide which balances to pursue first. Scoring tells a team where to look. Outreach that reaches the patient and closes the balance is what turns that score into collected revenue.

Why CFOs and VPs of Revenue Cycle Choose Confido Health

Balances get worked before they age

Confido Health handles eligibility verification, pre-service collection, reminders, collections outreach, and denial work in one connected workflow, so a balance is far less likely to sit untouched until it reaches the 90-plus-day bucket.

Billing team time moves to exceptions

When AI Teammates take the repeatable calls, billing staff spend their time on disputes, refunds, and complex accounts instead of explaining the same balance dozens of times a day.

One standard across every location

For a multi-location group, Confido Health applies the same verification, payment, collections, and denial standard at every site, so a VP of Revenue Cycle is not reconciling different billing quality location by location.

Patient and payer balances in one system

Most groups run patient collections in one tool and payer follow-up in another. Confido Health runs both, so a coverage gap found on a patient call can trigger a payer call and update the chart in the same workflow.

Final Thoughts

AI in medical billing now reaches from the first eligibility check to the last collected dollar. The groups seeing the strongest results are not adding more point tools. They are connecting patient collections and payer follow-up into one workflow that reaches every balance before it ages.

Before choosing a platform, map where your balances age, by location and by stage, and ask each vendor to show a balance moving from statement to payment, and a denial moving from rejection to resubmission, in your own systems. For related reading, see our guide to AI-coordinated billing workflows and our comparison of RCM versus AI-driven operations.

See Where Your Balances Are Aging

Running 10+ locations or providers? Send us your aging breakdown by location, and we will show you which balances Confido Health would reach first and what that could recover.

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Frequently Asked Questions

What are the most common AI use cases in medical billing today?

The most common are eligibility verification, pre-service and point-of-service collection, payment plan enrollment, Text-to-Pay reminders, collections outreach, billing inquiry handling, failed payment retries, denial management, claim readiness checks, and collections prioritization. Confido Health runs these in one connected workflow across patient and payer balances.

Does Confido Health handle denial management?

Yes. Confido Health AI Teammates classify denials by reason, contact payers to confirm what is missing, correct and resubmit claims, and track appeals to resolution, with every update written back to the EHR or PMS.

How much billing communication can AI handle?

Most repeatable billing calls, including reminders, balance questions, and payment plans, can run without staff. Disputes and refunds still go to the billing team. Use cases 4 to 6 above show documented results from a 70-location group.

Why do so many medical bills go unpaid?

Federal data points to structural causes. Medical debt has made up the majority of past-due debt on credit reports, and a meaningful share of adults carry medical debt or skip care because of cost. The fix a group controls is faster, clearer billing communication that reaches the patient before the balance ages.

Does AI billing replace the billing team?

No. Confido Health AI Teammates take the repeatable, high-volume work so the billing team can focus on disputes, refunds, and complex accounts.

How long does it take to launch billing and collections with Confido Health?

The ophthalmology group went from contract to live calls in 6 to 8 weeks, starting with inbound billing calls, then adding outbound collections in a pilot across 2 practices before rolling out system-wide.

Is Confido Health secure and compliant?

Confido Health is HIPAA-compliant and SOC 2 Type II certified. Every payment sends an SMS confirmation with its own authorization code.