PT-CHARLIE
PT-CHARLIE is not a concept. It is a working system for chronic low back pain that combines clinical reasoning, safety checks, pathways, voice, exercises, and next-step guidance in one product.
Why it exists
Patients get sent from one place to another. Advice becomes fragmented. Imaging and referrals can happen too early or too late. Costs go up. Frustration goes up. The pressure on care keeps rising.
PT-CHARLIE was built to offer a better route: clearer triage, better support, safer next steps, and more continuity from intake to action.
It does not try to replace a physiotherapist. It supports the reasoning around the patient and makes that reasoning easier to use.
What is actually inside
What matters is not that it uses AI. What matters is that the AI is shaped around a real physiotherapy problem and a real clinical logic.
Patient journey
From the first screen the system guides: welcome, consent, safety check, baseline intake, then a personalized route. There are five pathways, from gentle rebuilding through to referral when that is the right next step.
Safety first
Before physiotherapy advice is given, PT-CHARLIE checks for cauda equina, fracture, infection, malignancy, and inflammatory disease. If something looks wrong, the system stops and points toward medical care.
Input design
Patients tap where it hurts and choose intensity. Lower back, hip, knee, neck. It is easier to use than a 1 to 10 slider and captures more useful data.
Decision logic
Pain characteristics, psychosocial factors, physical limitations, worry signals, and function all feed the decision logic. The patient has a conversation. The system tracks what matters.
Voice mode
PT-CHARLIE can be used by voice in Dutch. After the call, it extracts what it heard and feeds that back into the pathway: pain level, movement confidence, worry signals, and next steps.
Support layer
Short check-ins, pain updates, streaks, and pathway-matched exercise programs help people keep going. Not generic PDFs. Real exercises with real instructions and visuals.
Adaptive interface
The home screen changes with time of day, flare-ups, progress, and setbacks. After a conversation, PT-CHARLIE shows what it learned instead of hiding it in the backend.
Clinical fit
The logic follows Dutch physiotherapy practice, including the Nijmegen decision tree and evidence-based reasoning. It is not a translated American product.
Safety and reasoning
PT-CHARLIE screens for serious signs first. Cauda equina. Fracture. Infection. Malignancy. Inflammatory disease. If red flags appear, it stops normal physiotherapy advice and directs toward appropriate medical follow-up.
The pathway logic then adapts around risk, pain duration, worry, and daily function. That means people do not just get generic exercise advice. They get a route that fits what is actually going on.
This is also why the product works for more than one audience. Patients get guidance. Students get structured reasoning. Clinicians get intake support, indicator tracking, and pathway recommendations.
Ecosystem
It is one of the clearest examples of what Physiotherapy.ai and Avivly are trying to prove: practical AI can support better care when the clinical logic comes first.
Ecosystem
AI care navigator for chronic low back pain.
Connected system
Clinical research workflow and evidence support.
Parent layer
The wider home for the innovation projects around it.
Recognition
Recognition for innovation in first-line healthcare.
Voice AI
Realtime conversation with an AI physiotherapy guide.
Ready to begin?
PT-CHARLIE is not a replacement for a doctor or physiotherapist. When red flags appear, it directs toward appropriate follow-up.
