Building data analytics partnerships Our strategic partnerships help to ensure that everybody’s health and care benefits from analytics and data-driven technology
One of the strengths of the Health Foundation is that we can invest in establishing new initiatives that tackle issues affecting the nation’s health.
We have already established two units that are helping to ensure that everyone’s health and care benefits from analytics and data-driven technology (the Improvement Analytics Unit and the Networked Data Lab) and are exploring the possibility of creating ambitious new partnerships over the coming years.
Networked Data Lab
We are creating a collaborative network of analytical teams across the UK who will work together using linked datasets on key issues facing health and care services today. The first national network of its kind, the Networked Data Lab will provide health system leaders with insights while also carrying out data stewardship activities, creating open source tools for the wider analytics community to use, and engaging with patients and the public to inform its analysis, ensuring that data is used in a legitimate and transparent way.
Improvement Analytics Unit
The Improvement Analytics Unit (IAU) is our innovative partnership with NHS England & NHS Improvement, evaluating the impact of some of the major new health initiatives implemented within the NHS. By providing rapid feedback to service leaders and decision-makers at both a local and national level, we help to identify what is working well and what might need to change in the future to improve outcomes.
Collaboration with Health Data Research UK
We’re collaborating with Health Data Research UK to support the development of health analytics and data science improvements that can be implemented across the health and care system to benefit patients, the workforce and the public. We have launched this collaboration with four new projects that will help deliver this aim
Data-driven systems and health inequalities: COVID-19 and beyond
Our partnership with the Ada Lovelace Institute will explore how the accelerated adoption of data-driven technologies and systems during the pandemic may have affected inequalities.