Specialised Solutions for Hospital Capacity Challenges
Supported by dedicated expertise in predictive capacity management

Bed Management Optimisation
Anticipate capacity needs before patient diversion
-
Predict discharge patterns and admission surges
-
Optimise bed allocation across services
-
Prevent capacity shortages through proactive planning
-
Reduce patient wait times and improve throughput

Emergency Department Flow
Predict and prevent ED bottlenecks
-
Anticipate patient volume surges before they occur
-
Optimise staffing based on predicted demand patterns
-
Prevent boarding through proactive capacity management
-
Improve patient experience through reduced wait times

Staffing Optimisation
Predict workforce needs before shortages impact care
-
Anticipate staffing requirements in advance
-
Account for leave patterns, sick leave, and seasonal variations
-
Optimise shift patterns based on predicted patient needs
-
Reduce agency staffing costs through proactive planning
We've partnered with HealthStream to bring comprehensive capacity planning and analytics to hospitals throughout New Zealand, Australia, and North America. Together, our teams offer decades of healthcare experience, delivering both the specialized knowledge and cloud technology you need for better visibility and planning.
Implementation Approach
Rapid Deployment Through Proven Methodology

Phase 1: Predictive Foundation (Weeks 1-2)
-
Data integration and validation
-
Baseline capacity pattern analysis
-
Initial predictive model calibration

Phase 2: Forward-Looking Optimisation (Weeks 3-4)
-
Implement predictive algorithms
-
Begin forward-looking capacity planning
-
Train staff on proactive decision-making

Phase 3: Continuous Improvement (Ongoing)
-
Refine predictions based on outcomes
-
Expand to additional departments
-
Advanced optimisation features
