Study overview
Demand for MSK care continues to grow, but provider capacity has not kept pace. This study evaluated whether AI-assisted workflows could help physical therapists manage larger panels in a digital MSK program without compromising care quality.
Researchers compared an AI-assisted care workflow with a higher physical therapist-to-patient ratio against a comparison group without AI assistance. Outcomes included safety, clinical effectiveness, engagement, satisfaction, and operational capacity.
Key findings
AI-supported workflows increased care capacity
The study evaluated whether AI could help safely increase physical therapist-to-patient ratios in a digital care setting.
Outcomes were maintained while scaling care
The study found that AI-supported care did not compromise patient outcomes, engagement, or satisfaction despite the increase in provider panel size.
Safety remained central
The study specifically examined safe scaling, reinforcing that AI was used to support clinical workflows rather than replace clinical oversight.
AI can strengthen operational scalability
The findings suggest that AI may help digital MSK programs expand access while preserving quality, especially when used to support clinical decision-making and workflow efficiency.
Why this study matters
This study is central to the AI care category. It moves the conversation away from abstract AI claims and toward a practical clinical question: can AI help scale care safely while maintaining outcomes?
For clinical audiences, the page should emphasize oversight, safety, and outcomes. For organizations, it shows how AI-supported workflows may improve access and capacity without reducing the clinical quality of care.
About the author
Fabiola Costa
Senior Director of Clinical Research, Sword Health
