Case Studies & Client Successes
We’ve had the privilege of working with a variety of organisations - from national healthcare bodies to forward-thinking local teams - to solve real-world problems using robust analytics and strategic insight.
NHS Gloucestershire ICB
Challenge: Improve annual planning processes and elective recovery planning under high operational pressure.
What We Did: Delivered integrated forecasting models and cost-impact scenarios that informed critical financial planning. Enhanced data infrastructure and analytical capability across the business intelligence team.
Outcome: The analysis directly supported service allocation decisions affecting hundreds of millions of pounds. Improved planning timelines, reduced costs, and enabled more responsive, evidence-led decisions during elective recovery phases.
Improvement Cymru
Challenge: Enhance patient safety intelligence and support a national view of hospital system performance.
What We Did: Applied a multi-perspective analytical approach to uncover systemic risks and forecast patient safety patterns. Designed dashboards and reporting frameworks for real-time use and delivered practical training to internal teams.
Outcome: Strengthened national capability for patient safety monitoring and decision-making, contributing to improved service efficiency and reduced adverse outcomes.
The ICB in Leeds
Challenge: Establish a forward-looking, city-wide view of population health and urgent care demand to support service redesign and investment.
What We Did:
- Scoped and developed a population health forecasting function to guide long-term strategy and resource allocation.
- Conducted deep-dive analytics on urgent care utilisation, including walk-in centres and same-day response services.
- Identified demographic clusters, demand trends, and operational opportunities for improved efficiency.
- Assessed the strategic placement of urgent care centres and advised on the suitability of new walk-in or urgent treatment centres.
- Developed comprehensive datasets and predictive models to support targeted interventions and reduce future costs.
Outcome: Enabled strategic business case development and service pathway design across multiple domains, including weight management, mental health, and children's services. The modelling supported potential cost savings exceeding £50 million through more targeted and efficient healthcare delivery.