For Hospitals
Predict the Stay. Prepare the Hospital.
Uncertainty about post-operative length of stay creates real challenges for bed management, discharge planning and surgical scheduling. PROSPER provides patient-specific LOS predictions before surgery - giving hospitals the information they need to plan ahead.
The Planning Challenge
Post-operative length of stay is one of the most significant drivers of bed occupancy, discharge delays and surgical list efficiency. Without patient-specific predictions, hospitals rely on averages and experience - which may not reflect the complexity of individual patients.
Six Ways PROSPER Supports Hospital Planning
Patient-level LOS predictions can inform a range of hospital planning activities - from individual bed allocation to elective scheduling.
Expected Bed Days
Predict the likely bed requirement for each surgical patient before they arrive on the ward.
Elective Scheduling
Align surgical lists with expected recovery durations to improve theatre and bed utilisation.
Discharge Preparation
Begin discharge planning from the point of listing, not the point of admission.
Patient Flow
Anticipate post-operative demand and reduce bottlenecks in ward and recovery pathways.
Resource Planning
Match staffing, equipment and support services to predicted patient need.
Longer-Stay Identification
Identify patients likely to require extended stays and plan their care pathways accordingly.
Hospital-Level Dashboard
Illustrative concept — aggregated hospital-level dashboard is a future development goal.
Current PROSPER predictions are patient-level. Aggregated hospital dashboards require further development and validation.
Evaluating PROSPER in Your Hospital
PROSPER has been evaluated for local accuracy and clinical usefulness. We welcome discussions with NHS hospitals and surgical teams interested in conducting a formal pilot evaluation.