How does this handle payer rules specific to Chronic Care?

Those rules are part of the platform rather than something you configure. Chronic Care coding edits, modifier requirements, and payer-specific policies are maintained centrally and updated as payers change them, so your team is not tracking bulletins to keep claims clean.

What happens when the platform gets something wrong?

Every automated action is recorded with its inputs and its reasoning, and can be reversed. Patterns of incorrect flags are corrected in the rule set, so a mistake is fixed once for every practice rather than worked around locally.

Do we need to replace our EHR to use this?

No. Unlimited Financials connects to your existing clinical system through HL7 and FHIR interfaces and runs as the financial layer alongside it. The AI works on the billing data, not on your clinical documentation workflow.

Chronic Care

AI Software for Chronic Care

Powered with Artificial Intelligence. Built for Human Intelligence.

Chronic Care billing fails in specific, repeatable ways. Unlimited Financials applies automation to those patterns — the coding rules, the payer policies, the documentation gaps — so your team spends its time on the claims that genuinely need judgement.

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AI Built Around the Realities of Chronic Care

CCM requires at least 20 minutes of non-face-to-face care coordination time per calendar month documented against a comprehensive care plan, with additional time captured in 20-minute increments under add-on codes. RPM requires devices to transmit at least 16 days of readings in a 30-day period before the monitoring code can be billed, alongside separate time-based codes for data review and patient communication. Missing any threshold by even a few minutes or a single day of device readings makes the entire month's claim non-compliant.

Failure to reach the 20-minute monthly time threshold for CPT 99490, resulting in unbilled or improperly billed months.
RPM device data falling short of the required 16-day transmission minimum within the 30-day billing period.
Care plans not updated or accessible to all care team members, jeopardizing CCM eligibility during audits.
Overlapping CCM and TCM or behavioral health integration billing in the same month creating compliance conflicts.

Use Cases

Where AI Can Improve Chronic Care Operations

Problem: Failure to reach the 20-minute monthly time threshold for CPT 99490, resulting in unbilled or improperly billed months.
Automation + Intelligence: Every Chronic Care claim is read against the payer's own policy, the applicable coding edits, and your historical remit outcomes — so this is caught before submission rather than after the denial.
Human Benefit: Your team works a short, explained exception list instead of re-checking every claim by hand.
Business Benefit: Fewer avoidable denials, less rework per claim, and cash that arrives on the first pass instead of the third.

Problem: RPM device data falling short of the required 16-day transmission minimum within the 30-day billing period.
Automation + Intelligence: Every Chronic Care claim is read against the payer's own policy, the applicable coding edits, and your historical remit outcomes — so this is caught before submission rather than after the denial.
Human Benefit: Your team works a short, explained exception list instead of re-checking every claim by hand.
Business Benefit: Fewer avoidable denials, less rework per claim, and cash that arrives on the first pass instead of the third.

Problem: Care plans not updated or accessible to all care team members, jeopardizing CCM eligibility during audits.
Automation + Intelligence: Every Chronic Care claim is read against the payer's own policy, the applicable coding edits, and your historical remit outcomes — so this is caught before submission rather than after the denial.
Human Benefit: Your team works a short, explained exception list instead of re-checking every claim by hand.
Business Benefit: Fewer avoidable denials, less rework per claim, and cash that arrives on the first pass instead of the third.

Problem: Overlapping CCM and TCM or behavioral health integration billing in the same month creating compliance conflicts.
Automation + Intelligence: Every Chronic Care claim is read against the payer's own policy, the applicable coding edits, and your historical remit outcomes — so this is caught before submission rather than after the denial.
Human Benefit: Your team works a short, explained exception list instead of re-checking every claim by hand.
Business Benefit: Fewer avoidable denials, less rework per claim, and cash that arrives on the first pass instead of the third.

From Automation to Agentic AI

The Evolution of Intelligence in Chronic Care

Automate

Eligibility checks, claim status polling, and remittance posting run without a person driving them, so Chronic Care staff stop re-keying what a system already knows.

Identify

Charges, authorizations, and remits are checked against Chronic Care payer rules as they move, and only the ones that fail get raised.

Prioritize

Worklists order themselves by dollars at stake and filing deadline, rather than by whatever landed most recently.

Recommend

Each flagged item comes with the likely cause and the documentation needed to resolve it, drawn from how similar claims were settled before.

Act

Where policy is clear and the evidence is complete, the correction, resubmission, or follow-up is carried out and logged for review.

Work by Exception

Work by Exception for Chronic Care

The scenario

A Chronic Care claim goes out with documentation that supports the service but not the modifier combination the payer expects, and comes back denied three weeks later.

How it's handled

The mismatch is caught at charge entry, not at remit. The claim is held, the gap is named, and it reaches a coder as one flagged item with the payer policy attached — instead of reaching your AR team as a denial.

Human Intelligence

Your team still makes the call

Automation handles the volume: the checks, the polling, the posting, the ranking. It does not decide clinical intent and it does not overrule a coder. On ambiguous Chronic Care claims the platform explains what it found and why, then hands the decision to the person accountable for it.

Throughout the Platform

AI Across the Chronic Care Revenue Cycle

RCM & Medical Billing Software

End-to-end billing from charge to close, tuned to specialty payer rules.

Charge Validation Software

Specialty and payer rules catch charge errors before claims go out the door.

AR Management

Work claims by exception with a prioritized, aging-aware worklist.

Healthcare Analytics Software

Governed reporting that turns revenue-cycle data into clear action.

Why Unlimited Systems for Chronic Care

Chronic Care billing rules are built into the platform, not configured on afterwards by your team.
Every automated action is logged and reversible, so compliance can see exactly what ran and why.
Support sits in Cincinnati and works specialty revenue cycle daily — no offshore queue, no scripted tier one.

Knowledge Base

Frequently Asked Questions About AI for Chronic Care

No. It validates charges against payer policy and coding edits, then flags what looks wrong with the reason attached. A certified coder makes the coding decision. Where a rule is unambiguous and the documentation is complete, routine corrections can be automated — and every one of those is logged for review.

Chronic Care Practice Management Software