We work with leading healthcare and life sciences organisations that base their clinical and operational decisions on rigorous evidence and insight because it leads to rapid, effective and lasting change. We believe that the real value of data and analytics is only realised when it is combined with the clinical and operational realities facing our partners.

That is why we have built a multidisciplinary team of data engineers, data scientists, clinicians, statisticians and economists. It means we find the insights that make a difference, have the capabilities to scale them and work hand-in-glove with clinical and operational teams. We believe this is the most effective way to ensure our work is relevant and lasting.

Our solutions are always designed to give the insights that make a difference and be intuitive to the teams that rely on our work. They also need to integrate with existing infrastructure and ways of working. We do this by drawing on expertise from across our multidisciplinary team, whose skills include:

Economics and Forecasting
Data Science
On-the-ground Insights
Modelling and Analytics
Cloud Data Interfaces
Software Development and Artificial Intelligence
Change Management and Implementation Strategies.

Operational Planning, Optimising Capacity & Resource Use

  • Demand forecasting
  • Capacity modelling
  • Bed planning and modelling
  • Workforce projections
  • Theatre optimisation tools
  • Cancer pathway management tools
  • Working with systems to plan and reconfigure services

Identifying & Implementing Best Practice

  • Identify unwarranted variation in the delivery of healthcare
  • Pathway optimisation
  • Data analysis, visualisation and socialising
  • Benchmarking
  • Qualitative, quantitative and literature reviews
  • Change management

Health Economics & Evaluation

  • Health Economics and Outcome Research (HEOR)
  • Health Economic Evaluation
  • Survey Development and Deployment, and Analysis
  • Business Case Development
  • Benefits Tracking and Realisation
  • Pricing and Regulation

Engineering Data Solutions and AI

  • Data pipelines and QA
  • Data infrastructure
  • APIs, Web Apps
  • Dashboards
  • Support and training