Clinical trials

The study aims to find out whether placed-based care (PBC), helps patients receive better support when they return home after leaving the community hospital, compared with the usual care provided.

This study investigates the effectiveness and implementation of an AI-assisted rehabilitation tool for adults with frailty in the real-world. The main questions it aims to answer are: Does AI-assisted rehabilitation among frail adults improve patients' physical outcomes? Is there a particular subgroup of frail subjects that will benefit most from AI-assisted rehabilitation? Researchers will compare AI-assisted rehabilitation to standard practice (advice and QR link for rehabilitation videos to be done at home) to see if AI-assisted rehabilitation improves clinical outcomes compared to standard practice. Participants will either: Undergo an AI-assisted rehab with the AI-sensor tool or a standard practice post-discharge from community hospitals for 12 weeks. Undergo interval assessments of outcomes. Keep a diary of outpatient rehabilitations (if applicable for the subjects).

The study team proposes ATLAS (AI-Assisted TelerehabiLitAtion System) a two-part solution. The first-Rebee AI-assisted telerehabilitation device-assists in inpatient rehabilitation, and allows patients to continue with their physical rehabilitation when discharged and waiting for Day Rehabilitation Centre (DRC). The second-a structured programme to train and familiarise patients and caregivers to Rebee over patients' Community Hospital (CH) inpatient rehabilitation stay-adopts an evidence-based approach to increase uptake and adherence to Rebee.