Active Public Health & Healthcare Education & Skills

Infrastructure and Services - Capacity Building

In plain English

AI plain-English summary

The UK has a wealth of health data—from GP records to hospital admissions—but lacks enough skilled people to turn that data into better treatments and policies. This programme will map exactly where the workforce gaps are, then build training resources to fill them. Without people who can manage, govern, secure, and analyse health data at scale, the potential of these datasets goes unrealised. The programme targets the entire pipeline: data managers, privacy and security experts, public engagement specialists, and the researchers and policymakers who will use the data. If successful, it will create a sustainable, skilled workforce capable of extracting reliable insights from millions of patient records. That could mean faster identification of disease patterns, more efficient clinical trials, and evidence-based policy decisions that improve lifelong health. The impact is largely invisible to the public—it strengthens the infrastructure behind medical discovery rather than delivering a single breakthrough—but without it, the UK’s investment in health data will remain underused.

View original technical description
To make the best use of the rich UK health-related data that is available needs a skilled workforce, ranging from those responsible for managing data, to expertise in governance and privacy and security and working witht he public and patients, to those who make the data available where allowed in ways that is useful , through to the researchers, doctors and policy makerswho will use that data to make new discoveries that can improve lifelong health and wellbeing. This programme will work to understand what the UK workforce needs are and create a variety of different training resources to ensure those needs are met and the UK public can benefit from the opportunities to improve lives through working with health related data at scale.

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Researchers

Christopher Yau (Co-Investigator)Sarah Cadman (Principal Investigator)

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Original classification

Intramural

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.