Clinical safety and privacy by design
ReHub integrates privacy principles into its architecture: movement data is processed locally in real time, without storing images or identifying biometric parameters. ReHub is developed and operated in compliance with applicable MDR and GDPR requirements, within a security framework compliant with the ENS at the HIGH level. DyCare manages the applicable requirements of the EU AI Regulation according to its implementation schedule. For services destined for the United States, it applies technical and organizational measures aligned with HIPAA security and privacy principles..
Regulatory commitment and clinical safety
ReHub’s AI allows us to see what was previously invisible: how the patient moves, how they perform each exercise, when they compensate, how much they progress, and when they need professional intervention.
Regulatory commitment and clinical safety
ReHub’s AI allows us to see what was previously invisible: how the patient moves, how they perform each exercise, when they compensate, how much they progress, and when they need professional intervention.
More than seeing
The first advantage is measuring movement. The decisive advantage is to connect that information with therapy, follow-up, and decision-making
That’s why ReHub’s AI isn’t limited to counting repetitions or correcting posture. It’s part of a complete clinical system where the professional prescribes, monitors, interprets, and adapts.
Privacy and security
ReHub® protects patient data through an architecture that prioritizes privacy, local processing, and complete control of clinical information..
Frequently Asked Questions
Scientific evidence peer-reviewed.
Every clinical decision regarding AI is supported by publications in indexed journals. Here are the most recent studies.
Validation of computer vision-based rehabilitation in shoulder rehabilitation
Comparative study of accuracy vs. manual clinical measurement in 240 sessions.
Telerehabilitation effectiveness in chronic low back pain
RCT with 312 patients — adherence and functional outcome at 12 weeks.
Adherence patterns in AI-guided home rehabilitation
Analysis of 35,000 real sessions in a real portfolio of hospital patients.
Pulmonary rehabilitation in COPD via digital platform
Prospective pilot study in COPD stage II-III patients with 4 months of follow-up.
Prehabilitation and recovery in breast cancer patients
Prehabilitation protocol + post-mastectomy recovery. 80% adherence.
Computer vision for post-stroke motor recovery
Case-control evaluating functional recovery of the affected limb.
Clinical data. Clinical safety.
Security isn’t an add-on—it’s built into every layer of the system. We built it as a healthcare product from day one.
End-to-end encryption
Certified European Hosting
Anonymization by default
Audit and traceability
Five commitments that we don’t negotiate.
AI in healthcare is not neutral—design decisions have clinical and ethical consequences. These are the principles that govern how we built DyCare, set in stone from day one.
Five commitments that we don’t negotiate.
AI in healthcare is not neutral—design decisions have clinical and ethical consequences. These are the principles that govern how we built DyCare, set in stone from day one.
Do you want to go into detail? technical or regulatory?
We have data sheets, white papers, and regulatory documentation available for your legal, technical, or clinical team. Request them.