Physical Therapy case playbook

Physical Therapy AI Automation Case Study

Physical therapy workflow that turns referrals, authorization, documentation, billing, and recalls into reviewed clinic packets.

Representative playbook

Physical therapy workflow that turns referrals, authorization, documentation, billing, and recalls into reviewed clinic packets.

This case study is a representative workflow playbook, not a fabricated client claim. It shows how a buyer can scope the workflow before committing to implementation.

Workflow breakdown

The problem, automation path, and approval guardrail.

The right first pilot should make the workflow easier to review, not harder to trust.

1

Problem: Physical therapy teams move between calls, faxed referrals, online forms, EMR, practice management software, payer portals, documentation queues, claims, payments, SMS, and email while patients expect fast scheduling and clear next steps.

2

Automation: AI classifies referrals and new patient requests, prepares intake and eligibility context, drafts reviewed reminders, queues missing forms, assembles authorization and documentation inputs, and routes billing, outcomes, recall, or clinician review packets.

3

Guardrail: Clinical recommendations, treatment plans, plan-of-care language, final documentation, coding, claims, benefits interpretation, authorization commitments, billing changes, refunds, and compliance-sensitive patient messages remain clinician, biller, or manager-reviewed.

Outcome signals

How to know whether the workflow improved.

A useful case study should name the operating signals to monitor before and after launch.

Faster referral response and appointment readiness.

Use this signal to validate whether the workflow improved after a guarded pilot.

Cleaner authorization, documentation, billing, and recall packets.

Use this signal to validate whether the workflow improved after a guarded pilot.

More consistent patient communication without unreviewed clinical or payer-sensitive messages.

Use this signal to validate whether the workflow improved after a guarded pilot.

Next step

Turn this playbook into a workflow review.

We will compare this playbook to your actual systems, owners, approval risks, and measurable baseline.

Physical TherapyCase playbookGuardrailsROI signals