While data-driven healthcare has enormous potential to improve health and wellbeing, it also has the potential to introduce or exacerbate existing inequalities in health outcomes across different demographic groups.

To build AI healthcare technologies which benefit all patients, we need datasets which represent the diverse range of people they are intended to be used in – including minoritised populations who may have historically been excluded from datasets, access to technology, and more.

Join this month’s HDR UK Science Webinar to learn more about how the UK health data research community are working to improve data diversity, for a better and more-inclusive data-driven future of healthcare.

STANDING Together: Developing STANdards for data diversity, INclusivity and Generalisability
@diversedata_ST

STANDING Together believe health datasets should be curated with inclusivity and diversity in mind.

In their presentation, Dr Jo Palmer and Dr Elinor Halls will introduce the standards developed by the project to ensure AI healthcare technologies are supported by adequately representative data, relating to how AI datasets should be composed (‘who’ is represented in the data) and transparency around the data composition (‘how’ they are represented).

A knotted pipeline: Data-driven systems and inequalities in health and social care
@annastudman @AdaLovelaceInst

In a fireside-chat, Anna Studman, Senior Researcher at the Ada Lovelace Institute will discuss the institute’s latest evidence report which aims to describe the complex interplay between data and inequalities in the health and social care system across the UK.

Acknowledging the potential for data-driven technologies to improve health and social care outcomes, their report scrutinises the ‘pipelines’ of data that power health technologies, identifying trends, approaches or limitations in data and data use that might undermine the beneficial outcomes sought.

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