DIGITAL TWIN REHABILITATION STATE
75 /100
Recovery is progressing but remains below the expected personalised trajectory.
MODERATE RECOVERY CONSTRAINT
Recovery Efficiency Index
78
Observed recovery relative to the patient's expected personalised recovery trajectory. Higher is better.
Reinjury Probability
17%
Estimated probability of strain, flare or compensatory deterioration over the next 48 hours.
Exercise Adherence Index
84
Agreement between prescribed rehabilitation activity and observed or reported exercise completion.
Autonomic Stress Index
31%
Physiological stress burden derived from HRV, resting heart-rate and recovery context. Lower is better.
Predicted recovery trajectory
Projected recovery over 48 hours compared with the condition-specific target expected for this patient's rehabilitation pathway.
Primary recovery drivers
14-day synthetic rehabilitation history
The history illustrates how the predictor could learn each patient’s N-of-1 response pattern before making the current 24–48 hour forecast.
| Day | Function % | Movement % | Pain /10 | REI | RP % |
|---|
24–48 hour rehabilitation decision support
RECOVERY STATE IN 24 H
82 /100
Likely improvement with continuation of current programme.
RECOVERY STATE IN 48 H
88 /100
Expected movement towards target trajectory.
ESTIMATED TIME TO TARGET
42 h
Estimated time to reach this patient's condition-specific recovery target, assuming no new adverse load.
Model interpretation
The four rehabilitation indicators—Recovery Efficiency Index (REI), Reinjury Probability (RP), Exercise Adherence Index (EAI), and Autonomic Stress Index (ASI)—are product-specific composite measures for demonstration. The current version uses transparent synthetic weights to show how a future system could combine continuous physiological monitoring, movement data and rehabilitation observations within an N-of-1 digital twin. A production predictor would require prospective validation and condition-specific calibration.