What we do
We Solve Problems with Technology
More than experience we bring real expertise. We are able to design or use our model library to solve your operational challenges including capacity management, scheduling, patient flow, staffing, and resource utilization.
Our Services
Quantitative Modelling and Optimization
- Apply sophisticated analytical tools to solve resource and flow problems, to choose between potential policy/operational alternatives, or to optimize processes
Process Improvement Support
- Provide process improvement analysis and support to help streamline processes for high quality, effcient patient care.
Data Analytics
- Leverage data to gain insights into operations and practices that improve care and drive effciencies.
Workshops
- We are able to design workshops for your organizations around planning concepts, for example: why averages are not enough.
Successful Case Studies
Problem
Load Balancing of Surgical Ward
Result
Switching of two surgeon's operating schedule resulted in a 3 bed reduction in the surgical ward which is atleast $1.1M/yr in operational savings.
Our Past Projects
Scheduling Process and Waitlist Management
Simplifying the schedulig process allowing an increase in service level and reducing the waitlist in a rehabilitation centre
Hospital Capacity Flow (COVID and non-COVID)
Allocate capacity across the hospital to manage the COVID surge
Surgical Supply Management
Optimize the Surgical Supply Flow
Wait time prediction/improvement
Wait times are a struggle across healthcare and are an important factor in patient satisfaction and provider working conditions. We have applied our techniques to predict and improve waiting times in areas such as surgery, home care services, and emergency departments. We consider how current policies, schedules, budgets, resourcing, and operational decisions affect wait times for service.
Dialysis Policy Analysis
Our healthcare system is poised to undergo large transformations as we look at ways to revolutionize how healthcare is delivered, including a trend away from institution-based care. However, how to make those changes without compromising patient care is not always clear. We employed data analytics to determine the characteristics of patients suitable for home dialysis.
Medication Ordering Process Simulation
As technology changes how care is delivered, it can be difficult to predict the impact of these changes. Simulation can help clients visualize the changes, highlight unforeseen consequences, test and evaluate the benefits, and refine new processes virtually before going live with changes. We applied simulation modelling to determine the extent to which an electronic medication, ordering, dispensing and administration process would improve turnaround times and error rates compared to the existing manual system.
Get in touch
Let us show you how we can help you transform your healthcare operations and management, increase patient access, decrease wait times, and reduce costs.
Book an appointment for a free consultation