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Physical Therapy Plan of Care (POC) Compliance: Boosting Revenue by 25% with AI

Written by - Customer Success TeamLast Updated - February 7, 2026

How PT clinics use AI Receptionists to automate re-booking and reduce drop-offs, ensuring patients complete their full treatment plans.

Key Insight

Physical Therapy practices face a chronic 'drop-off' problem where 30% of patients fail to complete their Plan of Care (POC). Samara’s AI Receptionist, Vini, automates the discharge and re-booking process, resulting in a <strong>25% increase in total visits per case</strong> and a significant boost to top-line revenue.

Solving the 'Leaky Bucket' in PT Operations

The administrative labor required to track and call back patients who miss their 4th or 5th session is often too high for busy PT clinics. This results in lost revenue and poor patient outcomes. Samara provides Outcomes as a Service (OaaS) by deploying AI agents that monitor patient attendance in real-time. When a patient misses a session, the AI initiates an immediate, humanized outreach to reschedule, maintaining the momentum of the treatment plan.

How Sam and Shika Support the Therapist

Sam (AI Office Manager) manages the Onboarding Workflow, ensuring that every new referral is processed and scheduled within minutes. Shika (AI Scheduler) handles the complex task of booking recurring weekly sessions across multiple therapists, ensuring 100% operatory utilization.

Key Performance Indicators (KPIs)

  • 15% Reduction in No-Show Rates: Multi-channel AI reminders (SMS, Voice, Email) ensure patients are engaged and confirmed 24 hours in advance.
  • 100% Re-booking Rate at Discharge: Vini handles the discharge workflow, ensuring every patient has their next 3 sessions scheduled before they leave the clinic.
  • Zero Staff Burnout: By automating the 'grunt work' of scheduling and reminders, PTs and front-desk staff can focus on high-touch patient interactions.

Conclusion

For PT groups looking to scale or exit, EBITDA is the primary metric. Shifting from a human-heavy administrative model to a Labor as a Service (LaaS) model increases the predictability of the business and expands the net margin, making the practice significantly more attractive to private equity and strategic buyers.

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