AI Physio at Scale: How Video Rehab Drove 74% Adherence

Editorial update (February 2026): This case study now reflects the latest Hyperhuman white-label app capabilities, including an optional Movement Recognition & Coaching add-on module — now with dynamic movement bundle upload + exercise mapping in Teams. This enables interactive rep counting, pacing, technique cues, and assessment-style progress tracking not only for stock exercises, but also for clinic-specific rehab movements (ideal for physio, rehab, and corrective programs).

Make great care obvious.

A physiotherapy provider in Australia turned flat, forgettable PDFs into personalized, watch-and-do video plans patients completed—again and again. Using Hyperhuman, the AI video production & delivery platform, the team shipped clear, branded rehab content across clinic, tele-rehab, and mobile apps in days, not months. This is a global playbook, with Australia as the proof point.

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Why it matters (global perspective)

Rehab adherence isn’t a motivation problem. It’s a clarity problem. Patients need:

• Correct form, shown from the right angle

• Short sessions that fit real life

• A voice that guides, paces, and encourages

Hyperhuman’s AI turns raw footage (or premium stock clips) into smart, labeled exercise blocks that assemble into personalized video sessions with timers, narration, and brand overlays—ready to publish to web, app, API, and social in one flow.

NEW Insertion: Movement Recognition makes form measurable, not just visible

Video helps patients see what to do. Movement recognition helps them do it correctly—even at home, even between appointments. For compatible movements, sessions can become interactive experiences with live rep counting, pacing guidance, and real-time technique cues, plus assessment-style check-ins that show progress over time.

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Client snapshot (anonymized)

• Region: Australia (methods applicable globally)

• Model: Hybrid (in-clinic + tele-rehab) and fully digital programs

• Scale goal: Build once, localize fast, publish everywhere

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Challenges we solved

• Low home-exercise completion — PDFs and generic videos weren’t sticky

• Inconsistent quality — clinic-level filming/editing slowed launches

• Fragmented delivery — content lived in silos; no “create once, publish everywhere”

• Language gap — diverse patient base, single-language content

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What we deployed

1) AI video engine → reusable “smart” exercise library

• AI extracts and labels exercises from raw clinic footage

• Blocks are searchable by joint, movement, difficulty, equipment, tempo

• Sessions assemble quickly with safety and progression in mind

2) Audience-driven AI Workout Builder

• Inputs: age, gender, footage source (clinic library or premium stock), difficulty, duration, equipment

• Output: a personalized session + an auto-generated motivating title

3) Omnichannel delivery without heavy IT

• Embeddable pages for portals and tele-rehab workflows

• Public Content API for apps and websites

• Branded player / mobile app options

• Publish once → deliver everywhere

4) Multilingual voice and captions at scale

• Natural voiceover in multiple languages/accents

• Consistent cues, safer technique, higher comprehension

5) Stock + clinic footage, blended

• Premium stock covers common movements

• Film only what’s protocol-specific to your clinic

6) Social clips that drive bookings

• Auto-generated 15/30/60s vertical/square snippets

• From the same source session—no extra editing

7) NEW Movement Recognition & Coaching (optional add-on module)

Turn selected rehab sessions into interactive, guided practice—inside your branded app.

NEW: Dynamic Movement Bundles for Physio — Make Custom Rehab Movements Interactive

Physio teams rarely work with generic exercise libraries alone. You’ll have protocol-specific variants, regressions, tempo prescriptions, and movement constraints that need the same level of coaching as “standard” movements.

With Dynamic Movement Bundles, you can now extend Movement Recognition beyond a fixed list of exercises:

• Upload movement bundles in Teams (custom or stock)

• Map each bundle to:

  • Hyperhuman stock exercises, and/or

  • Your clinic-specific exercises (team library)

• The mobile app automatically loads the right movement logic and surfaces:

  • live rep counting (where applicable)

  • pacing/tempo guidance

  • technique cues

  • assessment-style check-ins for progress over time

Why it’s a big deal for rehab workflows

• Protocol accuracy: map bundles to your exact “knee-friendly hinge” or “post-op squat regression” variants

• Safer home execution: patients get in-the-moment guidance between appointments

• Scalable coverage: expand your supported movement set continuously as your library evolves

• Cleaner operations: no hardcoded app updates every time you add a new rehab movement

Where to configure it

Teams → Settings → Workout Defaults → Movement
https://team.hyperhuman.cc/settings?tab=branding&openWorkoutDefaults=true

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Implementation timeline

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Outcomes (first 90 days)

Results vary by clinic; here’s what changed after switching to AI-powered video rehab.

Why it worked: Crystal-clear, multilingual video guidance + zero editing bottlenecks. AI handles assembly and formatting; teams focus on clinical outcomes.

NEW Insertion: Why movement recognition fits physio workflows

Physio isn’t just “watch and follow.” It’s execute well, repeat consistently, progress safely. Movement recognition strengthens the home program by adding in-the-moment feedback and repeatable assessments—especially useful for high-sensitivity patterns where tempo, ROM, and control matter.

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Operational impact

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What makes this category-defining for physio

• From footage to “smart blocks” — search, recombine, and scale protocols without re-editing

• Personalization without chaos — difficulty, duration, equipment aligned to each patient

• Omnichannel by default — content everywhere your patients are

• Global by design — language, accents, captions; local feel at global scale

• Faster than agencies, clearer than PDFs — publish in hours, not weeks

• NEW From visible form to guided form — movement recognition adds feedback + assessments for safer progression (where enabled)

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Tech notes (for clinical ops & IT)

• AI capabilities: exercise extraction/labeling, timers, audio guidance, brand overlays, metadata for search & safety

• Delivery: public Content API, embeddable pages, white-label app / player

• Sources: your clinic footage + premium stock for complete coverage

• Security & control: content ownership, permissioned libraries, auditability

• NEW Movement recognition (optional): on-device coaching signals for supported movements, stored as structured session metrics that can enrich Health HQ, recommendations, and review workflows

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Patient experience snapshot

“It felt like my physio was right there—timers, voice prompts, perfect angles. I finally knew I was doing it right.”

Motivation follows clarity. The content does the coaching; clinicians do the caring.

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Global takeaways (Australia proved it)

• Make form obvious. Multi-angle, narrated videos beat PDFs every time.

• Personalize by default. The right duration and difficulty reduce drop-off.

• Publish everywhere. API + embeds + app ensure zero friction to access.

• Localize like you mean it. Language clarity = safer movement and higher adherence.

• Create once. Scale infinitely. Smart blocks turn clinics into content engines.

• Where appropriate, add feedback loops. Technique cues + repeatable assessments turn rehab into a guided practice, not a checklist.

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Ready to scale your physio content?

• Create once, publish everywhere (web, app, API, social)

• Personalize by patient profile (age, difficulty, duration, equipment)

• Serve every language that walks through your door

• Enable Movement Recognition & Coaching for form-sensitive pathways and assessment-based progress tracking

Let’s make great care obvious.

GET STARTED TODAY