Improving Health With The Power Of Data
PATIENT PATHWAY
SIMULATION
NICE recommends simulation as a tool for safely exploring the impact of service change
Understanding the impact of change in healthcare is complex.
Simulation visually displays resources used over time so it’s easy to communicate to all stakeholders. By adjusting key variables, changes in key service metrics can be shown in a virtual environment without putting patients at risk.
Built to be easily adapted to local situations, our patient pathway simulations provide credible evidence for change.
They show funding, resource use and activity levels (beds, staffing, equipment etc.) and are included in NHS business plans.
PROVIDING CREDIBLE EVIDENCE FOR CHANGE...
All our simulations are statistically validated and many are published in leading academic and healthcare journals.
HOW IT WORKS...
1
Research
We collate evidence of the existing pathway and establish the time and resource use.
2
Specify the simulation
We determine the relevant model inputs and outputs.
3
Simulation development
We build a beta version of the simulation to show the current pathway and the impact when changes are made.
4
Testing and branding
We test the simulation and apply branding.
7
5
Train users
We demonstrate the simulation to your team.
8
We worked with one of Johnson and Johnson Vision’s key customers to improve the efficiency of cataract services, enabling more patients to be treated within the existing service. Using simulation we identified efficiencies that enabled more patients to be treated with the existing resources. Redesigning the pathway led to an additional 35 patients being treated each week, in excess of 1,680 per year.
PUBLISHED RESEARCH
A simulation tool for better management of retinal services
Demand and capacity modelling for acute services using discrete event simulation
A simulation-based decision support tool for informing the management of patients in retinal services
A simulation-based decision support tool for informing the management of patients with Parkinson’s disease
Enabling better management of patients: discrete event simulation combined with the STAR approach