Building smarter back-office support for home health.
Our AI roadmap is built to back up the specialists behind your operations, not replace them. We're developing tools that help review claims, codes, and documentation, spot patterns sooner, and flag risks before they turn into costly delays, with a person checking the work at every step.
AI that supports the work we already do.
Every feature below maps to a service our team performs today. AI is being developed to help our specialists recognize patterns faster, identify risk earlier, and work from cleaner data. The expertise stays; the bottlenecks become easier to manage.
he expertise stays; the bottlenecks disappear.Predictive Denial Review
Designed to analyze claim patterns and surface common issues before submission, helping specialists catch problems that may be missed during manual review.
Assists Billing & ClaimsOASIS Assessment Support
Designed to flag inconsistencies, missing details, and common documentation concerns for specialist review before assessments affect reimbursement, quality reporting, or compliance readiness.
Assists OASIS ReviewCoding Assistance Engine
Designed to suggest possible ICD-10 coding considerations based on clinical documentation, so coders can review, validate, adjust, and finalize each code with full context.
Assists CodingRevenue Intelligence
Designed to surface revenue trends, denial patterns, aging concerns, and follow-up priorities, with the underlying data visible for review.
Assists Revenue CycleSmart Intake Assistance
Designed to help organize intake forms, route information, flag missing details, and support eligibility review, with specialists handling exceptions and final review.
Assists Patient IntakeCompliance Review Assistant
Designed to help identify documentation gaps, audit-readiness issues, and workflow risks. Output requires human review and is not a compliance determination.
Assists Audit SupportThe same pipeline. Smarter checkpoints.
How AI can support the revenue cycle, with specialist review at every critical step.
Referral In
AI helps capture, organize, and route referral information for specialist review
out: routed for reviewVerification Assist
Eligibility, authorization needs, and payer requirements are surfaced for review
out: ready for reviewSmart Coding
Clinical notes help generate draft ICD-10 considerations for coder validation
out: draft coding suggestionsClean Submit
Claims are checked for common issues and queued with specialist oversight
out: claim review readyRevenue Visibility
Payment status, denials, aging, and follow-up priorities are surfaced for action
out: status updatedWhat we're building toward.
Honest goals, not guarantees — every AI feature is in development and built around human oversight.
Fewer preventable denials
TargetFaster processing
TargetHigher coding precision
TargetWorkflow oversight
OngoingDesign targets are based on internal planning and workflow modeling. Actual performance will vary by client workflow, payer mix, documentation quality, platform access, and claim volume. All AI features listed are in development.
Every AI feature starts with a service you already use.
Today, J&D supports agencies through intake, case management, OASIS review, coding, billing, plan of care, and audit support. Our next step is making each of those workflows more efficient through practical automation.
We're building AI to strengthen the work our specialists already perform, organizing referrals, surfacing documentation gaps, improving coding review, and reducing preventable delays before they slow cash flow.
The goal isn't technology for its own sake. It's better turnaround, cleaner claims, and more capacity for your agency to focus on patient care and growth.
Smarter support is being built. Your team can be early.
Talk to us about where your operations stand today, and how our roadmap can support them next.