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Home Health

AI Software for Home Health

Powered with Artificial Intelligence. Built for Human Intelligence.

Home Health 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.

AI Built Around the Realities of Home Health

Each 30-day payment period under PDGM is classified using the principal diagnosis, comorbidity adjustments, admission source (institutional vs. community), timing (early vs. late), and functional impairment level scored from the OASIS assessment, all of which combine to place the period into one of many case-mix groups with distinct payment rates. Every visit must be verified through an approved electronic visit verification system capturing the type of service, individual receiving the service, date, location, and time, with mismatches between EVV records and billed visits creating audit and recoupment risk.

  • OASIS assessment errors or delays causing incorrect PDGM case-mix grouping and resulting payment miscalculations.
  • 30-day payment period billing sequencing errors when patients have multiple consecutive periods within a single episode.
  • Electronic visit verification (EVV) data mismatches with billed visit records triggering compliance audits and recoupment risk.
  • Low-utilization payment adjustment (LUPA) thresholds missed, converting full 30-day period payments into per-visit-only reimbursement.
Use Cases

Where AI Can Improve Home Health Operations

Problem
OASIS assessment errors or delays causing incorrect PDGM case-mix grouping and resulting payment miscalculations.
Automation + Intelligence
Every Home Health 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
30-day payment period billing sequencing errors when patients have multiple consecutive periods within a single episode.
Automation + Intelligence
Every Home Health 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
Electronic visit verification (EVV) data mismatches with billed visit records triggering compliance audits and recoupment risk.
Automation + Intelligence
Every Home Health 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
Low-utilization payment adjustment (LUPA) thresholds missed, converting full 30-day period payments into per-visit-only reimbursement.
Automation + Intelligence
Every Home Health 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 Home Health

1
Automate

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

2
Identify

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

3
Prioritize

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

4
Recommend

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

5
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 Home Health

The scenario

A Home Health 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 Home Health claims the platform explains what it found and why, then hands the decision to the person accountable for it.

Why Unlimited Systems for Home Health

  • Home Health 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 Home Health

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.

GET STARTED

See What AI Can Do for Your Home Health Practice

Home Health 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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6,500+ specialty providersSOC 2 certified