RehabSense AI

Project overview

RehabSense AI is a clinically informed digital rehabilitation monitoring platform designed to support patients and clinicians after discharge. It combines structured check-ins, recovery and adherence signals, and explainable prioritisation to help clinicians focus review effort where it is most needed.

Problem addressed

Post-discharge rehabilitation often lacks continuous, structured digital visibility, making it harder to monitor adherence, spot deterioration early and allocate clinician attention efficiently.

Users and stakeholders

Patients in rehabilitation pathways, clinical and therapy teams, service leads evaluating digital monitoring, and research partners studying adherence and recovery outcomes.

Responsible AI and safety position

Review prioritisation is designed to support professional judgement rather than replace it. Explanations, auditability and human oversight are treated as core requirements for any future deployment context.

Interoperability and integration

Architected for pathway-specific modules and future integration with NHS infrastructure, electronic patient records, wearables and approved rehabilitation devices.

Research and collaboration opportunities

Suitable for research, clinical and industry collaboration on digital rehabilitation monitoring, evaluation studies and translational development.

Main capabilities

• →Patient check-ins and recovery tracking
• →Adherence monitoring
• →Clinician oversight dashboards
• →Explainable review prioritisation
• →Pathway-specific modules

Current development stage

Working research prototype — collaboration and demonstration available on request. Working prototypes and demonstrations are available for research, clinical and industry collaboration upon request.

Contact or demonstration request

For research, clinical or industry collaboration — including demonstration requests — please get in touch.