AI for Patient Billing to Reduce Revenue Leakage

Combining Voice AI with two-way texting to resolve patient questions faster and take payments

AI for patient billing uses Voice AI agents to answer routine billing questions, such as balances, statement details, and payment options. Paired with two-way texting, these agents can also take payment by voice or text during any call, including scheduling calls. That helps reduce revenue leakage from unpaid patient balances and frees staff for more complex calls.

Healthcare billing can be frustrating for patients and resource-intensive for health systems. Patients call to understand balances, check insurance adjustments, ask about payment options, or figure out what to do next. Billing teams spend valuable time answering recurring questions while managing more complex account issues.

The financial challenge is significant. A 2025 JAMA Health Forum study of more than 200 U.S. hospitals found that mean patient repayment rates were 14.3% lower in 2023 than in 2021 for privately insured patients, and nearly 17% lower for Medicare Advantage patients. In a late-2025 Urban Institute survey, 26.6% of U.S. adults said they or a family member owed money to a medical provider.

For health systems, improving the billing experience means more than answering calls faster. Voice AI agents can help patients get answers, reduce routine call volume, and take payments directly, so a billing question can end with a completed payment instead of a callback. They can also identify opportunities to address outstanding balances during other patient interactions, making payment a more convenient part of the care journey.

What Causes Revenue Leakage in Patient Billing?

Revenue leakage occurs when health systems fail to collect revenue they are owed. Some of it starts upstream, in charge capture, coding, and claim denials. On the patient side, it often results from unpaid patient balances, delayed payments, billing disputes, and gaps in follow-up.

Not every unpaid bill represents avoidable leakage. Patients may face financial hardship, question a charge, or need time to understand their insurance coverage. However, when patients can't get clear answers or find it difficult to complete a payment, the billing process can create additional friction.

With the ability for patients to get billing questions answered and make payments around the clock without any hold times or transfers, health systems can capture more revenue.

How Can Voice AI Agents Help Resolve Healthcare Billing Inquiries?

Voice AI agents answer the billing questions that tie up patient financial services lines: balance checks, payment status, statement explanations, and payment plan options. They pull account data directly from the health system’s billing and EHR systems, give the caller a clear answer in natural conversation, and close the inquiry without a hold queue or a transfer. Staff then have more time for the complex disputes and financial counseling that need a human.

Here are some ways an AI agent can assist patients:

• Check account balances: Help patients understand the balance currently recorded on their account.
• Answer statement questions: Provide available information about charges, payments, and account status.
• Handle payments: Explain payment options, then take a payment during the call or by text.
• Route complex issues: Recognize when a question requires a billing specialist and direct the patient to the appropriate team.

The value comes from connecting the conversation to the information needed to resolve the inquiry. Rather than navigating a phone menu or waiting for a representative to answer a routine question, patients can explain what they need in their own words, 27/7.

For billing staff, automating inquiries reduces repetitive calls and create more capacity for account discrepancies, complex questions, and situations that require human judgment.

How Can Voice AI and Texting Make Healthcare Bill Payment Easier?

Answering a billing question is only part of the opportunity. Voice AI agents can also take payment on an outstanding balance, including during conversations that aren't about billing at all.

Consider two scenarios.

A patient calls with a billing question. The Voice AI agent accesses relevant account information, answers the patient's question, and offers to take payment. The patient can pay during the call or by text.

A patient calls to schedule an appointment. While helping the patient find a convenient time, the Voice AI agent is alerted to an outstanding balance. The agent proactively mentions the balance and offers to take payment on the spot, by voice or by text. The patient settles the balance during the same interaction without initiating a separate call or searching for a payment portal.

This second scenario creates an important opportunity for health systems. A scheduling conversation already has the patient's attention. When the agent can identify an outstanding balance and offer a convenient way to pay, it connects an existing patient interaction to a practical next step in the billing process.

Three capabilities make this possible:

1.     Voice AI provides the conversation. Patients can explain what they need in their own words, whether they're calling about a bill or scheduling care. The agent has all necessary context and can take the call through to resolution.

2.     Connected data makes the interaction relevant. Access to pertinent EHR and billing information allows the agent to identify an outstanding balance and offer a payment option.

3.     Payment happens in the same interaction. The agent can take payment during the call or by text, whichever the patient prefers.

In our recent Patient Dialog webinar on two-way healthcare texting, we explore how texting can support interactive patient communication and work alongside Voice AI to provide a convenient path from a conversation to a completed action.

How Can Billing Automation Support Staff and Reduce Revenue Leakage?

Voice AI and text-enabled payment workflows can address billing friction at multiple points in the patient journey. They can resolve routine inquiries, make payment easier, and identify opportunities to settle outstanding balances during other patient interactions.

• Reduce repetitive call volume. AI agents can handle appropriate routine billing questions, giving staff more time for complex account issues and patients who need personal assistance.
• Create more opportunities to collect outstanding balances. When an agent identifies a balance during scheduling or any other type of call, it can offer a convenient payment path instead of relying on the patient to initiate a separate billing conversation.
• Take payment in the moment. Patients can pay by voice or text as soon as the balance comes up, while payment confirmation and receipt help close the loop.

The goal is to give patients accurate information and a convenient way to resolve a balance when they are ready.

How Can Health Systems Get Started With AI for Patient Billing?

Health systems can begin with a focused set of high-volume billing inquiries and expand as workflows mature.

Start by identifying the questions that consume the most staff time and determining which can be answered with Voice AI agents. Then map the next steps for common scenarios, including when to offer to take payment, how to handle a patient who has questions about a charge, and when to transfer the interaction to a billing specialist.

Payment workflows also require appropriate safeguards. Health systems should establish identity verification, protect sensitive account information, use approved payment channels, and define how patient preferences and communication consent are managed.

As you scope the workflow, these questions can help focus the first phase:

• Which billing questions make up most of your inbound call volume today?
• Where do patients drop off between a billing question and a completed payment?
• How often do scheduling calls involve patients with an open balance?
• Which situations should always go to a billing specialist?

Finally, establish baseline measures for call volume, resolution time, payment completion, and outstanding balances. These metrics help teams evaluate whether the workflow is delivering meaningful improvements.

For a broader look at how AI can support patient-facing workflows, explore Voice AI in patient access and best use cases for Voice AI.

Make Billing Easier for Patients and Your Team

Billing conversations create an opportunity to do more than answer a question. When Voice AI can access the right information, explain the next step, and offer a convenient way to act, health systems can make the billing experience easier for patients and less demanding for staff.

See how SpinSci’s AI agents can help your health system resolve routine questions and turn more conversations into completed payments. Request a demo.

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