For too long, SNFs have been burdened with hospital-grade technology that doesn’t fit their needs. As a result, admissions pile up, reimbursements lag, and teams are left scrambling to plug gaps left by one-size-fits-all tech. SNFs are not miniature hospitals; they are highly specialized environments with unique patient profiles, care models, and reimbursement structures. Yet most technology built for acute care continues to dictate SNF workflows, causing breakdowns in two critical areas: admissions and reimbursements.
Legacy systems weren’t built to support how SNFs admit patients or bill for care. Intake remains fragmented, eligibility checks are delayed, and documentation often falls out of sync with coding. These breakdowns cascade downstream: claims get denied due to mismatched dates, missing diagnoses, or incomplete therapy records. Denials increase, AR days stretch, and leadership teams are forced into constant firefighting instead of building scalable systems. The result? Burnt-out staff and margin leakage that compounds month after month.
This is no longer just process inefficiency. Every broken intake, every manual coverage verification, every missed diagnosis erodes your ability to operate at scale. And the “AI” bolted onto these systems? Often more noise than signal. Exception queues multiply, and without audit trails, automation becomes a liability, not an asset.
SNFs don’t need more duct-tape automation. What they need is an AI-native RCM built for admissions, optimized for reimbursements, and crafted for every step in between.
Reinventing SNF admissions with AI-native infrastructure
Nanonets Health is purpose-built to streamline skilled nursing admissions from Day 1.
Whether referrals arrive by fax, email, upload, or EMR export, our AI agents ingest every packet and extract the necessary data with clinical-grade precision. Demographics, insurance details, physician orders, and diagnoses are captured in a single pass without any toggling, missed fields or manual cleanup.
Real-time eligibility checks run automatically as soon as coverage information is captured, flagging mismatches or authorization gaps before they snowball into denials. Intake coordinators are alerted when documentation is incomplete, payer rules are not met, or prior auth steps are missing. All source context is preserved across every document.
The impact is immediate: faster onboarding, pristine verification, higher throughput, and fewer billing delays downstream. SNFs move quicker, avoid preventable denials, and give staff the bandwidth to focus on patients instead of paperwork.
Real-time reimbursement integrity: PDPM without the guesswork
PDPM was designed to align reimbursement with patient complexity. But, in reality, SNFs still rely on retroactive chart reviews to justify reimbursement. Fragmented documentation, delayed inputs, and missed triggers frequently result in undercoding. Moreover, critical indicators get buried in long-form documentation, and MDS coordinators are left stitching together diagnoses after the reimbursement window has closed.
Nanonets Health solves this by embedding PDPM automation directly into documentation workflows. The AI-native system extracts surgical history, depression screens, functional status, and therapy minutes in real time. When something’s missing or incomplete, it flags the issue with full source context before MDS submission.
MDS coordinators can now focus on oversight and optimization instead of last-minute chart repair. The result is greater PDPM accuracy, improved reimbursement integrity, and reduced audit exposure. Teams move from retrospective cleanup to proactive revenue capture.
Trusted by leading PAC operators
Post-acute leaders, across SNFs, renal care providers & mobile diagnostic labs, are already using Nanonets Health to modernize their revenue operations. By automating admission coordination, eligibility checks, charge & coding workflows, and documentation capture, these operators have significantly reduced manual exception handling and improved both compliance and collections. Their teams now spend less time fixing broken handoffs, and more time coordinating care, accelerating throughput, and improving patient experience.
At a large SNF group on the West Coast, Nanonets Health helped recover over seven figures in missed reimbursements within just five months and reduce manual FTE hours by nearly 70%. Time once spent chasing down documentation was reinvested in patient onboarding and quality improvement.
Why it matters now
SNFs aren’t hospitals, and they shouldn’t be forced to run on hospital systems. From intake to reimbursement, their workflows demand tailored solutions for post-acute care. Still, over 70% of SNF claim denials are caused by documentation-related errors avoidable with the right infrastructure in place.
At Nanonets Health, we’re building the tech stack SNFs actually need: AI-native, fully auditable, and designed around how post-acute care operates. If your tools don’t understand your workflows, they’ll keep breaking them. It’s time to stop retrofitting hospital tech, and start scaling with software designed to make SNFs thrive.
It’s never about more tech. It’s always about the right tech.
