Pilot · Pre-Visit Clinical Prep & Reducing Missed Visits
Missed and wasted visits don’t just burn clinician wages — under PDGM they can drop you below the LUPA threshold and cost you the full episode payment. Linda confirms every visit before your team dispatches.
No EMR integration · $5,000 implementation fee waived · HIPAA & SOC 2 compliant · BAA · Live in 14 days
Clinicians often arrive at a home to find the patient unprepared, not home, or in a hostile environment (unsecured pets, wrong address). Beyond the wasted hourly wages of your clinical staff, missed visits trigger a massive financial liability.
Under the Medicare Patient-Driven Groupings Model (PDGM), if a missed visit causes a patient’s care episode to fall below the Low Utilization Payment Adjustment (LUPA) threshold, your agency loses its full episodic reimbursement and gets paid a fraction of the cost.
Send us the list of patients scheduled for their SOC or routine visit tomorrow.
Linda calls them today to verify basic demographic information, confirm they’ll be home, and provide safety reminders for the upcoming nurse visit.
You virtually eliminate the financial bleed of missed visits and protect your Medicare episodic billing.
Clinicians receive a clean, pre-verified briefing before they dispatch — ensuring the in-person visit happens as scheduled and your agency stays safely above its LUPA thresholds.
$800–$2,000+
Revenue from a full 30-day episode
$150–$250
Per-visit LUPA rate when you fall below threshold
$67K
Annual revenue leak from 10 missed visits / week
Under current PDGM billing mechanics, the financial impact of a missed visit triggering a LUPA is devastating. A full 30-day home health episode generates between $800 and $2,000+ in revenue, but falling below the visit threshold drops an agency to a LUPA per-visit rate of roughly $150 to $250 per instance in lost billing.
Missing just 10 scheduled visits a week translates to a $67,000 annual revenue leak. By automating pre-visit confirmations, Linda directly protects thousands of dollars in revenue per patient.
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