Analytics

What is our Analytics Services?

Good transformation programmes need robust evidence-based decision-making. The purpose of analytics at the TU is to provide the insight for these decisions. We support every phase of transformation and clinical re-design. From using data to help identify issues, to building evidence to support Models of Care, to modelling the impact of proposed changes.

Strategic Business Intelligence

We live in a data rich world. Health and care is no exception. Yet, data without insight is meaningless. Business intelligence draws out the stories within the data.

At the TU, we help systems and organisations get below the surface of their data.

• We analyse variation between organisations and over time. This helps organisations to get to the root causes.
• We help understand underlying health inequalities. Allowing systems to design new Models of Care.
• We explore relationships between different data sets. For example, how do condition prevalence and demography correlate.

We believe in making data accessible for all. We use specialist software to capture our insights in easy-to-understand formats. This helps explore the insights and to communicate them to the public.

Demand and capacity modelling

Patients and populations are at the heart of service transformation. Our demand and capacity modelling places patients at its core. Helping to ensure patients receive treatment - by the right person, in the right place, at the right time.

Our team helps systems and organisations to understand the impact of their change programmes.

• We help understand system capacity and the dependencies with the system.
• We translate population health needs into demand forecasts.
• We support organisations to understand the impact of new builds on capacity.
• We analyse the impact of site reconfiguration on beds, theatres and diagnostics.

How we can support

We have supported a range of projects that include:

• undertaking geospatial analysis to understand the optimum location for hub sites;
• exploring population needs in relation to CVD;
• understanding the impact of deprivation, demography and digital inclusion on service design;
• using SPC methods to understand the impact of the pandemic on other emergency activities;
• analysing the impact of an ED redesign on capacity both in the A&E and the wider hospital;
• modelling the covid pathway and the impact of acute discharges on community provision;
• predicting the elective recovery trajectory based on various scenarios; and
• designing viable potential hot/cold site reconfigurations.