Perioperative Planning Tool

Know the Stay Before the Surgery.

Patient-specific length-of-stay prediction for better surgical planning. PROSPER generates an expected LOS before the patient reaches the ward — supporting beds, discharge and resource planning.

Patient-Level Predictions·Perioperative Planning·Hospital Analytics
PROSPER clinical team reviewing perioperative data

One Prediction. Four Benefits.

A single patient-level LOS prediction creates value across the entire surgical pathway — from the individual patient to the wider healthcare system.

Patients

Patients can be better prepared for their surgical journey when expected length of stay is known in advance - supporting informed consent and pre-operative planning.

Hospitals

Bed management and discharge planning can be supported when expected length of stay is predicted before the patient arrives on the ward.

Organisations

Capacity planning and elective scheduling can be informed by aggregated patient-level predictions across surgical lists and specialties.

Healthcare Systems

System-level resource allocation and future planning may be supported as PROSPER scales - this capability is under development.

How PROSPER Works

Patient and procedure data flows through a structured model to generate an expected length of stay - with complication risk as a supporting output.

How PROSPER Works — Assess, Analyse, Predict, Plan workflow diagram

Illustrative concept - PROSPER supports, but does not replace, clinical judgement.

Length of Stay Is More Than an Outcome.

It's a Planning Tool.

When you know expected length of stay before surgery, every part of the surgical pathway can be better prepared.

Bed Management

Anticipate bed requirements before patients arrive.

Discharge Planning

Prepare discharge pathways from the point of listing.

Theatre Scheduling

Align surgical lists with expected recovery durations.

Patient Flow

Reduce bottlenecks by predicting post-operative demand.

Resource Allocation

Match staffing and equipment to anticipated need.

Elective Recovery

Support NHS elective recovery with data-driven scheduling.

From One Patient to an Entire System

PROSPER's predictions scale from individual patients to specialty-level and hospital-wide planning. System-level analytics are a future development goal.

Patient

Individual LOS prediction

Specialty

Surgical list planning

Hospital

Bed & capacity management

Organisation

Multi-site demand insight

Health System

Future development

Future

Bring Better Prediction Into Surgical Planning.

Explore how PROSPER could support your hospital, surgical team or healthcare organisation.