Hato Hone St John provides emergency response and healthcare services to approximately 90% of the population across almost all of New Zealand’s landmass. Delivering services via 1,600 paid employees and 2,300 volunteers, Hato Hone St John answers around 500,000 emergency calls a year, responding from over 200 stations around the country.
Over the past decade, Hato Hone St John has repeatedly utilised CSAM Optima Predict in innovative and exciting ways. From reshaping Christchurch emergency service delivery after the 2011 earthquake to developing a new funding model centred on the platform, the organisation constantly pushes the boundaries of what is possible with the product.
“When organising ambulance services, there are so many different inputs. You need to factor in changing road speeds, call growth, time spent at the Emergency Department, and so much more. It is complex. Unless you use simulation software, it is very hard to accurately work out what you need,” says Dave Richards, General Manager of Ambulance Operations at Hato Hone St John.
At its core, CSAM Optima Predict enables Hato Hone St John to make data-driven decisions regarding resource optimisation and strategic planning. From determining ambulance station locations to refining staff shift patterns, the platform is central to ensuring the organisation can deliver high-quality care and emergency response services to a significant proportion of New Zealand’s population. Read more about the collaboration and the benefits it delivers in our case study.