Forecast Physiological Changes
Generate rolling forecasts of patient parameters over prediction horizons extending up to 12 hours.
ReviCare AI
INPATIENT TRAJECTORY FORECASTING
A clinical decision-support platform under development, designed to combine continuous bedside data with available clinical records.
ReviCare AI forecasts physiological parameter trajectories and uses those forecasts to support assessment of deterioration risk.
Research and development · Clinical performance has not yet been established.
The Clinical Need
Patient conditions can change between scheduled observations and ward rounds.
Continuous monitoring provides valuable information, but interpreting multiple signals alongside clinical records requires time and attention. ReviCare AI aims to help care teams identify meaningful patterns and patients who may need earlier review.
Intended Capabilities
Assess Emerging Risk
Analyse predicted trajectories and clinical context for patterns associated with deterioration.
Explain Relevant Findings
Present contributing variables and recent trends to support interpretation by healthcare professionals.
Initial Data Scope
| Source | Examples |
|---|---|
| Patient monitors | ECG, heart rate, blood pressure and SpO₂ |
| Mechanical ventilators | Respiratory rate, airway pressure, PEEP, tidal volume and respiratory waveforms |
| Clinical records | Available demographics, diagnoses, laboratory results and periodic observations |
Data coverage depends on source-system capabilities and the agreed evaluation scope.
Intended Use in Practice
Incoming data is checked and processed to update forecasts. Healthcare professionals review the predicted trends and associated risk information alongside their assessment of the patient.
The initial evaluation pathway is observational. ReviCare AI will support professional judgement, with clinical decisions remaining with qualified healthcare professionals.
Discuss a Clinical Evaluation