Personalized prosthetic choice and rehab planning tool
The AMPREDICT PROsthetics Decision Support Tool: using evidence to guide personalized prosthetic prescription and rehabilitation planning
This project will create a tool that helps clinicians pick prosthetic parts and rehab plans that match each lower-leg amputee's likely mobility and personal goals.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | VA Puget Sound Healthcare System NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11220703 on NIH RePORTER |
What this research studies
You would benefit from a decision tool that brings together existing evidence to guide prosthetic prescriptions and rehabilitation plans after a lower leg amputation. The team is developing a clinician-facing tool (including mobile app elements) that uses patient information and prior outcomes to predict likely mobility levels and suggest appropriate prosthetic components and rehab pathways. The tool is meant to improve how clinicians set realistic expectations with patients and plan individualized rehabilitation. Initial work focuses on patients whose amputations were caused by chronic limb-threatening ischemia and on testing the tool within VA rehab settings.
Who could benefit from this research
Good fit: Ideal candidates are people with recent lower-extremity amputations due to chronic limb-threatening ischemia who are being evaluated for prosthetic fitting and rehabilitation planning.
Not a fit: People without lower-limb amputation, those with only upper-limb amputation, or patients not seeking a prosthesis are unlikely to get direct benefit from this work.
Why it matters
Potential benefit: If successful, this could lead to more personalized prostheses and rehab plans that improve mobility and quality of life while giving clearer expectations to patients.
How similar studies have performed: Some prior predictive models for post-amputation mobility exist, but packaging those models into a practical decision-support tool for clinicians is relatively new.
Where this research is happening
Seattle, United States
- VA Puget Sound Healthcare System — Seattle, United States (Active)
Researchers
- Principal investigator: Norvell, Daniel C — VA Puget Sound Healthcare System
- Study coordinator: Norvell, Daniel C
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.