Case Study: South Central Ambulance Service optimises emergency responses with Doorda

SCAS optimises emergency responses using Doorda

South Central Ambulance Service (SCAS) faced the immense challenge of optimising its emergency vehicle responses to handle a tsunami of calls during the COVID-19 pandemic. To enhance its predictive analytics, SCAS needed to rapidly acquire vast amounts of new geo-demographic data about the local population to complement its existing service information.

The vendor Doorda provided SCAS with analytics-ready, non-personal economic and geo-demographic data from over 1,500 official sources. By integrating this data into its multivariant analysis models, SCAS could proactively locate its vehicles in optimal places. This data-driven solution from Doorda led to faster emergency response times and contributed to overall improved outcomes for the people in its area.

South Central Ambulance Service

Vivienne Parsons

Specialist Business Analyst