Catalyst Projects An initiative to improve patient care through data-driven health and care decisions

This programme is closed for applications.

  • We’re collaborating with Health Data Research UK (HDR 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 improve patient care through data-driven health and care decisions.
  • Our four Catalyst projects will start work in May 2020 for a duration of 12 months.

Aim

The Health Foundation and Health Data Research UK (HDR UK) are jointly supporting a new initiative that aims to demonstrate how patient care can be improved through data-driven health and care decisions.

The UK has vast and rich data about people’s health and care, however this is often not available quickly for clinicians or patients to access to support their decision making. This causes delays and, in some cases, prevents the data from being analysed to deliver better care and improve people’s health. The Catalyst Projects will aim to help address some of these issues.

Catalyst Projects

As part of our collaboration with HDR UK, we have announced four successful projects as part of the Better Care Catalyst programme:

AI-driven clinical decision-making tool to manage cystic fibrosis

This project, led by Royal Papworth NHS Foundation Trust, aims to use AI machine learning to understand why pulmonary exacerbations happen in people with cystic fibrosis. They plan to develop a tool to assist clinicians in deciding when to treat the patient, and therefore reduce routine outpatient visits.

Developing and deploying quality improvement dashboards for primary care

Led by OxFed Health and Care Ltd, this project aims to develop a suite of feedback tools and dashboards to inform primary care doctors how their clinical practice aligns with best practice.

Reducing the health burden of diabetes with AI-powered clinical decision tools

This project aims to tackle the health burden of diabetes by developing AI prediction tools to help clinicians and patients make better-informed decisions around management and treatment of the disease. This project is being led by North West London Health and Care Partnership.

Uniting large scale patient data to develop an ‘Informatics Consult’ for doctors

This project, led by University College London Hospitals NHS Foundation Trust, aims to support doctors to make treatment decisions by developing an Informatics Consult, where they can order the analysis of large-scale data relevant to the individual patient and treatment decision.

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We look for talented and passionate individuals as everyone at the Health Foundation has an important role to play.

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